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Novel and New Chemistries for Agriculture

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Published Originally in Chemical Industry Digest August 2023

Abstract

This article highlights the growing importance of environmentally friendly chemicals in agriculture, addressing issues like water quality, soil fertility, and clogged irrigation systems. Soft and green chemical solutions are presented as key contributors to agricultural sustainability and economic enhancement.

Sensitivity to environmental issues has been increasing by the day. We have been witnessing effects of global warming and increased pollution of air, water and environment. This change in environment significantly affects agriculture. Therefore, the development of effective, safe to humans, and environmentally friendly soft/green chemicals have become imperative and the chemical industry is well aware about it and has been continuously engaged in manufacture of such novel chemistries.

Agrochemicals have played an important role in agriculture and has played a pivotal role in shaping the Indian economy. Many problems faced in agriculture are due to wrong agricultural practices, such as excess fertification, excess use of pesticides which led to the degradation of the soils. There is an urgent need to correct these issues and industry has been working to develop soft and green solutions for overcoming them. These solution cause minimal harm to environment while delivering high benefits to farmer and environment.

Water Quality

In many parts of the world, the water quality has deteriorated and the water sources available for agricultural applications are with high Total Dissolved Solids (TDS). Use of hard water drastically reduces the efficacy of soluble fertilizers, pesticides like herbicides, fungicides, insecticides, biostimulents, etc.  It tends to bind up soil nutrients and making it unavailable to plants. The dissolved solids in water do affect these chemicals and the performance degrades. To overcome this, chemical solutions are available. Water treated with these chemicals increases the efficacy of the agri-inputs. Softer chemical solutions are available to break this problem by inhibiting the dissolved solids so that they cannot adversely affect the performance of plant protection chemicals or soluble fertilizers. This prevents excess chemicals into the environment besides saving the cost of the chemicals for the farmer.

Enhancing Soil Quality

Irresponsible use of fertilizers have led to the soil becoming hard; reduce water-holding capacity followed by unavailability of nutrients to the crop led to un-fertility of the farm. Intervention with organic and soft chemicals can reverse the process. Better mobility and availability of nutrients have increase the fertility and nutrient efficiency of the farm leading to a productive harvest.

It is necessary to infuse organic carbon – back in to soil and the simplest way to do it is provide organic compost to the soil. With the compost, soil is able to get beneficial microbes as well as organic carbon. Compost does contain many other nutrients in bio-available form too.

Excess fertigation disturbs soil balance and crop productivity takes a beating. This mistake happens in a quest to get high production of agro produce.

Soft solutions are now available whereby fixed nutrients in soil are made bio-available to the crop and by that, the productivity of land is enhanced. The solution helps in preventing excess fertigation while achieving excess production.

Crop protection chemicals like insecticides, weedicides, fungicides, as well as soluble fertilizers, are delivered by dissolving them in water.  The dissolved solids in water do affect these chemicals and their performance degrades. Farmer has to use excess chemicals to get the desired effect and spend on this excess dose. Besides these very chemicals are released in environment to cause pollution.

Soft solutions are able to break this problem by inhibiting the dissolved solids so that they cannot adversely affect the performance of plant protection chemicals or soluble fertilizers.

This prevents excess chemicals in to environment besides saving the cost of the chemicals for farmer.

To optimise water use efficiency in agriculture, majority of the farms have adopted to drip systems, for irrigation. Overtime the dripper gets clogged, this depending on the quality of water used for irrigation and due to it, the delivery of water to the plants reduced and finally the crops set affected. Scale formation followed by emitter plugging will vary with the source of the irrigation water, which will hamper water application uniformly. Scale formation and emitter plugging usually results from precipitation of calcium, magnesium, iron, or manganese minerals. The mineral precipitation to form encrustation (scale) that partially or completely block the flow of water through the emitter and forms scales in the laterals. Few chemicals are having the de-clogging or anti-scaling properties when applied in the drip systems to de-clog the dripper.

Such novel technologies and soft chemical solutions will help in their own ways to improve sustainability of agricultural and industrial processes besides improving the economy.

AI Will Transform Chemical Industries for Better Energy Management

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Published Originally in Chemical Industry Digest, September 2023

Abstract

This article highlights the transformative impact of Artificial Intelligence (AI) technology in the chemical industry, enabling significant energy efficiency improvements of 20% to 40%. Through case studies, it illustrates how AI-driven digital twins and optimization algorithms are driving sustainability and carbon footprint reduction efforts, making it a crucial investment for chemical companies.

Introduction

The chemical industry is one of the oldest and largest manufacturing industries in the world. It is but natural that all technological advancements in the past have found their place in this industry to improve the process control, safety and productivity. The adoption of AI however has been relatively slow. With increased competition and dwindling profit margins, chemical companies are looking at every opportunity to improve their energy efficiency and become cost competitive. Another critical aspect is the thrust on Sustainability and carbon footprint reduction. AI/ Digital Solutions that can provide improvement in above two areas are now widely being explored.

Chemical Industries are energy intensive, hazardous, risk to environment and highly complex. The high safety risk in the process has made companies tread carefully in automation technologies. Most chemical companies have some level of automation. They have a robust DCS system, that can capture the process data from the plant and can also execute controls in the field including safety control actions. The industry need is of an AI Technology that can build on top of this infrastructure and start giving benefits immediately on deployment.

There is a need for manifold interventions from multiple angles at a low cost to save on margins and increase profitability keeping quality and safety in mind. One such powerful yet niche field is advent of artificial intelligence (AI). AI, automation and optimization go hand in hand. AI mimics decision taking and problem-solving capability using high end Deep Learning algorithms, the crucial requirement of course being data.

Situation Analysis and Importance of AI

Many chemical companies in India are still conventionally running with data captured at frequent intervals but not being tracked and stored properly. Few of the companies have good data capturing system but are not storing data. Hence the challenge for AI companies is to get quality data with high granularity for them to build models, which can be immensely useful for their operations. A hybrid model of first principles chemical-based process modelling combined with data-based machine learning models can bridge the gap of process data not being available to great extent. Through this a Digital Twin of the process can be built. This is an accurate prediction model that predicts the process behaviour in the next instance and in the future. Once the future state is known, powerful AI models can work on the predicted state and build an optimization strategy for achieving the energy efficiency and in turn, reduce carbon footprint.

Effective Digitalisation – A Pre-Requisite

It is critical for chemical companies to build their digital transformation infrastructure and adopt AI into their routine practice. It brings about seamless uninterrupted automated execution bringing about energy optimization thereby saving cost. Digital Transformation infrastructure should

(a) Sense i.e. real time capture of high granularity, high coverage, high quality, high variety, high volume of all relevant monitoring and controllable data points, operational, health, energy of process and utility equipment data and process, production and quality data.

(b) Connect i.e. real time transmission of upstream and downstream data with no cost towards control and network cables and

(c) Act i.e. real time actuation of control commands, along with centralized location for real time and historical data storage, real time data processing for business intelligence and report generation &highly interactive, intuitive visual analytics. The level of Digital Transformation infrastructure will depend on the current digital state of the plant. The beauty of centralized data repository is that it can store all the data that is generated from the process, and can provide integrated energy dashboards and reports customized to the end stakeholder like a Plant Head, Production Head, CXO’s and CEO.

“A typical road map for deployment of AI solution in chemical plants needs an initial assessment of the plant by AI/ chemical experts where the current state of the plant like existing data capturing system, data storage policy, existing process controllers in place like PLC, the control system architecture and process constraints are assessed”.

The AI models deployed on the process plant learn continuously from the real time data and improve their performance over the years. Thus, the Plant continues to benefit and can see reduction in energy consumption, and achieve its sustainability goals. Thus, it the right time now for all chemical companies to invest in AI technologies which can provide both the Digital Infrastructure and the AI technology that can make a huge impact in the way the plant operates and brings in all round benefits. The early adopters of this technology stand to gain immensely and will have a great first mover advantage in this highly competitive market.

Case Study 1: AI in Electrolysis Plant.

Electrolysis plant is an energy guzzler and companies are looking at ways to bring down energy costs in this unit. AI/ IoT technology can bring in energy efficiency in the process without violating the constraints and operating limits. Digital Twin of the Electrolysis process can give accurate predictions for the in process and output parameters like chlorine & hydrogen pressures, caustic flow rates and concentration, differential pressure across ion exchange membrane. The Reinforcement Learning Agent Optimization Algorithm will use the predicted values and give the best combination of control parameters like voltage applied, brine flow rate, brine temperature to bring power reduction for the same output values. The results are savings of at least 30% in power consumption.

Deployment of AI in Chemical Industry

A typical road map for deployment of AI solution in chemical plants needs an initial assessment of the plant by AI/ chemical experts where the current state of the plant like existing data capturing system, data storage policy, existing process controllers in place like PLC, the control system architecture and process constraints are assessed. The baseline figures of energy consumption, production, yields, maintenance costs are recorded. This assessment helps in finalizing the digital transformation infrastructure requirements for the plant.

The number of IoT devices and the wireless network architecture are finalized, and Big Data Lake Enterprise Software Platform for Data management is architected on the cloud/ on premises server.

The plant design data and historical operational/ process data is collected from the plant for model building. Through design data and first principles, chemical-based modelling is done and for historic data neural network deep learning data-based modelling done. The integration of the above two models gives the operational digital twin of the plant. This is a predictive model and replicates the physical plant environment with accuracy greater than 95%. On top of this model, for optimisation, deep reinforcement learning agents are trained for bringing about the energy, production efficiency improvement. Once these models are verified and tested, they are ready to be deployed. These models are deployed on the enterprise software platform hosted on the cloud/ on premises server.

Case Study 2: Ammonia Recovery Plant.

Ammonia Recovery uses both low pressure and medium pressure steam. Bringing down steam consumption can immensely reduce costs in this unit. AI/ IoT technology can bring in energy efficiencies the process without violating the constraints and operating limits. Digital Twin of the ammonia process can give accurate predictions for the in process and output parameters like Ammonia recovered, Column Temperature, Column Pressure, Ammonia in Column bottom. The Reinforcement Learning Agent Optimization Algorithm will use the predicted values and give the best combination of control parameters like LP Steam flow, MP Steam Flow, Cooling water flow, Lime addition to bring Steam reduction for the same output values. The results are savings in the range of 40% in Steam consumption. This has direct effect on the reduction of fuel in boilers.

Case Study 3: Evaporator Plant

Evaporators are used in many chemical industries as a part of the chemical recovery process. There are two types co-current and counter current evaporators and they usually have multiple effects/calandria. It uses low pressures team to improve the concentration of the feed liquor. Optimizing steam consumption can immensely reduce costs in this unit. AI/ IoT technology can bring in energy efficiency the process without violating the constraints and operating limits. Digital Twin of the evaporator process can give accurate predictions for the in process and output parameters like product concentrations in each effect, temperature and pressure values across each effect, condenser flow rates, product flow rates, something not being currently measured. The Reinforcement Learning Agent Optimization Algorithm will use the predicted values and give the best combination of control parameters like LP Steam flow, Steam Pressure, Vacuum Flow to bring Steam reduction for the same output values. The results are savings of to the tune of 20% in Steam consumption. This has direct effect on the reduction of fuel consumption in boilers.

Clearly advancements in AI Technology are impacting the energy efficiencies of chemical industries from 20% to 40% and thus help companies in their sustainability journey for achieving carbon footprint reduction targets.

Conclusion

In conclusion, there can be no doubt that the relentless march of AI is poised to revolutionize the chemical industry, offering a beacon of hope for better energy management on a global scale. AI’s ability to optimize chemical processes, predict energy consumption patterns, and identify energy-saving opportunities is nothing short of remarkable. It promises to break down the barriers that have long hindered efficient energy management in the chemical sector. By harnessing the power of machine learning, we are equipped to reduce waste, cut emissions, and drive innovation at an unprecedented pace. The chemical industry must wholeheartedly embrace AI, not as an optional luxury but as an essential tool for survival and progress. The future belongs to those who harness AI’s potential to transform chemical processes, ushering in an era of sustainable energy management.

India Poised to be a Major Contract Development and Manufacturing Organisation Hub Globally

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Published Originally in Chemical Industry Digest August 2023

Abstract

India’s burgeoning manufacturing prowess extends to its Contract Development and Manufacturing Organization (CDMO) sector, specifically in agro-chemicals. Fueled by factors like robust R&D, expertise, and geopolitical shifts, India aims to become a top CDMO hub. However, challenges like low R&D investment, infrastructure gaps, and supply chain integration must be addressed for sustained growth and global dominance.

Introduction

India has emerged as a formidable force in the global manufacturing landscape. The country’s growing manufacturing might and expertise, is positioning it to break through as a veritable global manufacturing hub diverse range of industries. From automobiles and textiles to electronics and aerospace components, India is making it all.

The same is true for its Contract Development and Manufacturing Organisation (CDMO) industry.India’s CDMO industry is poised to disrupt the global agro-chemicals market, as a confluence of factors converge to drive its emergence onto the world stage as a sourcing hub for active ingredients. While the country’s share in the global agro-chem CDMO sector currently stands at a relatively modest USD 1 billion-USD 1.2 billion, it is poised to skyrocket in the coming years. A number of factors will drive this growth.

India’s lure as a global hub

For starters, global players, faced with a costly patent cliff on their drugs and agrochemicals, are ramping up their R&D efforts. They are increasingly harnessing the speed and cost effectiveness of Contract Research and Manufacturing (CRAM) to aid their drugs and chemical discovery push and are turning to outsourcing to do so. And Indian companies are emerging as preferred partners in this outsourcing boom.

On the back of along-standing relationships with companies around the world, Indian companies have established a reputation as a credible partner. At the same time, the country’s expertise has moved up the value chain with its vast pool of engineers, chemists and scientists giving the sector the heft to develop active ingredients and advanced intermediaries.

Strong process chemistry skills, low operational costs, and the protection of IP rights only add to the country’s lure as an outsourcing partner.

The geopolitical situation, meanwhile, is also in India’s favour. China and the West are increasingly at odds with each other. As the relationship between the West and what was once the factory to the world has frayed, western companies have begun to scout around for alternative sourcing hubs.

This diversification away from China has widely come to be known as the China + 1 strategy and India has emerged as the leading contender to become the ‘plus one’.

Proactive steps taken by the government have further strengthened India’s position. The introduction of a production-linked incentive (PLI) scheme, for instance, combined with budget provisions to the Department of Chemicals and Petrochemicals have boosted India’s attractiveness as CDMO hub. Government policies and support have created a conducive environment for Indian CDMOs to thrive and bolstered their growth potential.

“global players, faced with a costly patent cliff on their drugs and agrochemicals, are ramping up their R&D efforts. They are increasingly harnessing the speed and cost effectiveness of Contract Research and Manufacturing (CRAM) to aid their drugs and chemical discovery push and are turning to outsourcing to do so. And Indian companies are emerging as preferred partners in this outsourcing boom”.

Going Beyond the ‘Plus One’

But the country’s ambition should be to go beyond simply being the ‘plus-one’ alternative. We should set our sights on being the go-to CDMO hub. There are still some roadblocks and hurdles that need to be removed for that to be attainable.

Investment in Research and development (R&D) is need of an hour. Most of Indian agrochemical companies typically dedicate a small percentage of their revenue to R&D ~1% in India compared to the global average of 11%–12%. Hence Indian companies need to take pivotal steps to attract business from abroad. Strengthening R&D efforts for innovative, sustainable solutions highlights their expertise, while state-of-the-art manufacturing facilities underscore their reliability. That said, adherence to quality and compliance standards will help to build credibility with safety-conscious clients.

Another road block is the lack of world-class infrastructure, particularly for containerised cargo. These inadequacies in our infrastructure are manifest in the higher costs for container freight from India to the key international markets. Such costs act as a serious impediment to raising market share there.

We also need to de-risk our supply chains. Efforts by Indian fine and specialty chemical companies to integrate more closely with global supply chains are yielding positive results and these need to be stepped up. A closely integrated supply chain will after all not only speed up logistics and movement of material, but it will also bring down costs.

However, despite its challenges, there’s no denying that India’s CDMO industry has evolved significantly. With planned investments in infrastructure, a skilled workforce, and favorable government policies, India possesses the necessary ingredients to become a key player in the chemical manufacturing landscape. However, addressing infrastructure inadequacies as well as continued investments in innovation, R&D, and capacity expansion are imperative for Indian chemical companies to really step up and solidify India’s position as a favoured outsourcing destination in the agrochemical sector.

 

Chemingineering- Collaborative Robots

The first reference to robots in the modern sense comes from the 1920 play R.U.R. (Rossum’s Universal Robots) by Czech writer Karel Čapek. The term “robot” itself was coined by Čapek’s brother, Josef Čapek, derived from the Czech word “robota” meaning “forced labour” or “serf”. Although the play doesn’t delve into the technical details of robot creation, it introduces the concept of mass-produced “artificial humans” working as labourers. These sparked discussions about the ethical and societal implications of robots, marking the birth of the modern concept that continues to fascinate and challenge us today.

Robotics is one of the nine pillars of Industry 4.0, also known as the fourth industrial revolution. It plays a crucial role in transforming traditional manufacturing and other industries into more automated, data-driven, and interconnected systems.

Collaborative Robots

The concept of cobots, or collaborative robots, was first introduced in 1996 by J. Edward Colgate and Michael Peshkin, professors at Northwestern University. They filed a patent for “an apparatus and method for direct physical interaction between a person and a general purpose manipulator controlled by a computer.” This initial idea aimed to create robots safe enough to work alongside humans. However, the wider adoption of cobots and their entry into the industrial space took some time. In 2008 Universal Robots released its first cobot, the UR5, which could safely operate alongside humans without needing safety cages. This is considered a significant step in bringing cobots to the forefront. In 2010, the first ISO standard for cobots was published, providing guidelines for safe operation with humans. In 2012, Rethink Robotics introduced the Baxter cobot, designed for a variety of manufacturing environments.

Cobots vs Robots

Cobots and robots share a robotic body, but their goals differ. Robots are solo performers: powerful, precise, but often isolated in cages due to their strength and speed. Cobots are collaborative companions: lighter, adaptable, and designed to work safely alongside humans. Robots work independently, often behind cages, excelling at repetitive, high-precision tasks like welding or assembly. Cobots share the workspace, assisting with tasks like material handling or quality checks, allowing for human-robot interaction and flexibility. Cobots are built with safety features like sensors and limited strength. This lets them work near humans without risk. Robots prioritise power and precision, requiring separation for safety. Robots often require complex programming by engineers. Cobots are designed for user-friendly programming, sometimes even allowing operators to hand-guide them, making them accessible to a wider range of users. Robots tend to be larger and more expensive due to their complex features. Cobots are generally smaller, lighter, and more affordable, making them accessible for smaller businesses. In essence, robots are the powerhouses, while cobots are the team players, bringing automation closer to humans and opening doors to new collaborative possibilities.

Applications

Precise and repetitive tasks like mixing chemicals or dispensing reagents are perfect for cobots. Equipped with sensitive grippers and cameras, they can accurately handle containers, weigh ingredients, and mix them according to recipes, eliminating human error and ensuring consistency. This is crucial for speciality chemicals, where small inaccuracies can have major consequences. Inspecting products for defects or contamination is a tedious and potentially risky job for humans. Cobots, equipped with vision systems and sensors, can perform these tasks with exceptional accuracy and at higher speeds. They can detect even minute imperfections, ensuring product quality and reducing the risk of human exposure to harmful chemicals. Lifting heavy containers and repetitive packaging tasks can lead to injuries and fatigue. Cobots are ideal for these physically demanding jobs. They can efficiently palletise boxes, label products, and handle heavy loads, alleviating human strain and improving productivity. This is particularly valuable in industries like fertiliser production, where large volumes of materials are handled.

Lab Automation

Cobots are game-changers for lab automation. These robotic partners free up skilled technicians from repetitive work like capping samples and labelling, allowing them to focus on higher-level tasks. Cobots, designed for safe collaboration with humans, tackle various tasks like sample handling and pipetting with accuracy, reducing errors and improving overall efficiency in diverse lab environments. Cobots tirelessly perform these routines with precision, boosting lab efficiency and consistency. The increased output and more consistent results translate into reduced cycle time for development and accelerate the discovery of new compounds.

Special Materials

With the rise of cobots, the need for specialised materials tailored to unique requirements has become crucial. Cobots are increasingly used to fit into tight spaces. As cobots with more degrees of freedom are more modular, their design can also become more complex – hence need to be produced with material innovations that provide greater freedom of design and ease of processing. Leading chemical giant BASF has emerged as a major player in this field, developing innovative materials that enhance cobot safety, performance, and functionality.  High-performance polyamide offers excellent strength, stiffness, and dimensional stability while being 20% lighter than metals. This helps reduce cobot weight, leading to increased energy efficiency, faster movements, and improved safety. Lighter robots exert less impact in case of accidental contact with humans. Polyurethane has remarkable elasticity and shock absorption properties, making it ideal for cobot parts that may come into contact with humans. This material cushions impacts, minimises injury risk, and complies with safety standards. Polyethersulfone offers exceptional heat resistance, chemical resistance, and dimensional stability. Its moldability allows for complex, lightweight designs, enabling greater design freedom and customisation for cobot parts.

Way Forward

While the adoption of cobots is steadily increasing, it is still considered nascent compared to traditional industrial robots. The International Federation of Robotics predicts cobots to grow at an annual rate of 40%, suggesting they could account for 15% of the total robot market by 2028. While larger manufacturing companies adopt cobots more readily, the trend is shifting towards increased accessibility for small and medium-sized enterprises (SMEs) due to technological advancements, cost reductions, and easier user interfaces. Although affordability is improving, cobots still require a significant initial investment, deterring some businesses. Integrating cobots seamlessly into existing workflows and training employees to leverage them effectively takes time and resources. Ensuring safe human-robot collaboration requires proper risk assessments and safety measures.

Epilogue

Cobots are still evolving, and their potential in the chemical industry is vast. As they become more sophisticated and cost-effective, expect to see them playing an even larger role in the future, shaping a safer, more efficient, and productive chemical landscape.

Chemingineering- The Advent of AI

AI has made rapid inroads into the way we conduct our lives and business. Yet, this is only the tip of the iceberg. While generative AI may serve as a useful productivity hack, the real power of AI is yet to be harnessed. Only then we can hope to find a speedy solution to some of the complex challenges confronting us.

The Advent of AI

AI like air is all around us. The extent to which it has infiltrated our daily lives is astonishing.  AI powers virtual assistants in our smartphones customising news feeds and recommendations.  AI-powered algorithms recommend movies and shows based on our viewing habits and personalise search results. Fitness trackers and smartwatches use AI to analyse health data, suggest workouts, and personalise diet plans. Chatbots powered by AI are handling customer inquiries and resolving issues 24/7. AI algorithms analyse financial transactions and identify suspicious activity to prevent fraud and protect consumers. AI-powered robots and automation streamline production processes, optimise inventory management, and improve delivery efficiency.

Breakthrough Year

2023 has been a year of incredible progress in AI research and its practical applications. This was the year generative AI captured the world’s attention, creating imagery, music, stories, and engaging conversation about everything imaginable, at a level of creativity and a speed almost implausible a few years ago. McKinsey’s report has identified generative AI as the driving force behind a surge in AI investment and adoption. Nearly a third of surveyed organisations were using generative AI in at least one function, demonstrating its practical real-world applications. AI advancements in medical diagnosis, drug discovery, autonomous vehicles, and other fields continued to impress. The FDA approval of numerous AI-powered medical devices further cemented AI’s role in healthcare. 2023 was also the year when governments across the world moved to formulate rules around content accountability and confronted ethical questions as AI went mainstream, holding out both the promise of a transformative future and fears of a dystopian society plagued with misinformation,

Problem Solving

 AI approaches problem-solving differently from humans in several key ways. AI algorithms are trained on massive amounts of data, allowing them to identify patterns and relationships that humans might miss. This data-driven approach can lead to more accurate and objective solutions, especially for complex problems with many variables. AI algorithms can process information and analyse data much faster than humans. This makes them ideal for solving problems that require real-time decision-making or involve massive datasets. AI excels at identifying patterns and making predictions based on past data. This can be helpful for tasks like forecasting future trends, identifying anomalies, and making recommendations. AI algorithms can learn and adapt over time as they are exposed to new data and experiences. This makes them well-suited for solving problems that are constantly changing or evolving

Climate Change Complexity

The complexity of the climate change problem goes beyond reducing greenhouse gas emissions. It is a multifaceted issue woven into the fabric of our planet and society, posing challenges on various levels. Earth’s climate is a complex web of interconnected systems – atmosphere, oceans, land, and ice sheets. Changes in one system affect others, creating feedback loops that can amplify or dampen the overall impact. Predicting future climate requires unravelling these intricate relationships, which still have uncertainties.  Our understanding of the climate system is constantly evolving. There are still “unknown unknowns,” factors we haven’t even considered that could significantly impact future outcomes. Additionally, complex systems can exhibit emergent properties, and unexpected consequences arising from the interaction of individual components. Addressing climate change requires prioritizing future generations’ well-being over immediate economic gains. This is a shift in mind-set that can be difficult for individuals and societies accustomed to short-term decision-making. AI with its formidable strength of crunching massive data is best suited to cut through the clutter of climate change complexity and enable us to take informed decisions.

Net Zero Challenge

Achieving net zero emissions by 2050 is a monumental challenge, posing an unprecedented test for humanity in terms of technological advancement, political cooperation, and societal transformation. The scale of emission reductions needed is unparalleled. Global emissions must plummet by nearly half by 2030 and reach net zero by 2050. This requires rapid deployment of clean technologies across all sectors – energy, transportation, industry, agriculture, and buildings. Some sectors lack readily available solutions for deep decarbonization. For instance, aviation and heavy industry rely heavily on fossil fuels, and viable, scalable alternatives are still under development. Carbon capture and storage technologies, while promising, need significant advancements to become cost-effective and widely applicable. Transitioning to net zero requires massive investments in clean energy infrastructure, renewable energy sources, and green technologies. Developing countries, already burdened with limited resources, may face additional challenges financing this transformation. The path to net zero is shrouded in some uncertainty. Technological breakthroughs could accelerate progress, while unforeseen events or political backtracking could hinder it. Moreover, the urgency of the climate crisis demands immediate action, leaving little room for delay or error.

Accelerating Innovation

HIGHLIGHTER: AI can turbocharge innovation in the chemical industry in many ways. It can analyse mountains of scientific literature, experimental data, and market trends, uncovering hidden patterns and potential breakthroughs that human minds might miss. AI models can simulate complex chemical reactions and materials, predicting their properties and behaviour before lab experiments even begin. This accelerates development and reduces trial and error. AI can be deployed to design new molecules and materials with specific desired properties, tailor-made for specific applications. This opens doors to entirely new classes of chemicals with unique functionalities. Repetitive tasks in research and development can be automated by AI, freeing scientists to focus on creative problem-solving and interpretation of results. Recently Microsoft Quantum team achieved a major milestone toward that vision, using advanced AI to screen over 32 million candidates to discover and synthesise a new material that holds the potential for better batteries—the first real-life example of many that will be realised in a new era of scientific discovery driven by AI.

Quriosity of BASF

In May 2023, BASF started up its new supercomputer, named Quriosity, capable of performing 3 quadrillion operations per second. It is the world’s largest supercomputer for industrial chemical research and has been built by Hewett Packard using AMD processors. This upgrades an earlier supercomputer that the company has been using since 2017.  With its immense processing power, Quriosity can tackle complex tasks that would take traditional computers years, if not decades, to complete. This includes simulating chemical reactions, designing new materials, and optimising manufacturing processes. Modelling, virtual experiments and simulations are becoming increasingly complex and require more computing power. With the new supercomputer, the company claims to be able to identify and utilise previously hidden connections to drive completely new research approaches.

Epilogue

We are currently enjoying the low-hanging fruits of AI. The time is ripe to crank up the levers and take AI into a higher orbit if we have to emerge unscathed from the existential crisis posed by climate change.

Chemingineering- Mystery of Static

Static electricity, often dismissed as a benign force, can lead to devastating consequences in industrial settings. Despite its association with fires and explosions, static electricity remains poorly understood and underestimated. This article delves into real-life case histories, revealing incidents where static discharge resulted in explosions, injuries, and significant financial losses.

Mystery of Static

Despite its frequent implication as a cause of fires and explosions, static electricity remains one of the most misunderstood and underestimated hazards within industrial workplaces. Even in environments where static is believed to be adequately controlled, the occurrence of ignitions is often a result of insufficient awareness, lack of understanding, or outright disregard for its potential risks. Unmanaged static electricity poses a significant threat to various industrial processing operations. While the generation of electrostatic discharge is commonly linked to the movement of products in flammable or combustible environments, static electricity serves as a subtle ignition source in routine operations, such as the cleaning of storage tanks.

Case Histories

A road tanker driver was on top of his vehicle, inspecting compartments and preparing for material transfer, when vapours inside ignited, causing a subsequent explosion. The force of the blast threw the driver off the truck, resulting in extensive damage to the tanker and nearby vehicles. The estimated cost of the destruction amounted to $200,000. The driver sustained severe injuries, including second and third-degree burns to his hands, arms, legs, and a broken left knee, necessitating a three-month hospital stay.

In another incident, an employee was engaged in cleaning a storage tank partially filled with sludge when an ignition event led to an explosion. Positioned near the tank opening, the hose operator witnessed a sudden flash and quickly took cover. Despite efforts to avoid the combustion, the operator suffered minor burns to the face.

A process operator tasked with manually transferring approximately 20 kg of combustible powder from a polyethylene plastic drum into a metal process vessel. The powder, with a minimum ignition energy of 12 millijoules, ignited into a dust cloud as he removed the drum from the vessel after completing the transfer.

In a pneumatic conveying system, a process operator investigating a crackling noise during the transportation of powdered material between the classifier and loading hopper inadvertently received a significant static shock upon contact with a section of the duct. Pneumatic conveying systems possess the capability to generate substantial amounts of electrostatic charge during the movement of products through plant equipment. Tribo-electrification, involving the contact and separation of powder with processing equipment walls, the powder itself, or other factors like surface contaminants, stands as the most prevalent method of electrostatic charging in such process operations.

Causes

Static electricity can be generated in a chemical plant due to various factors.  When materials come into contact and then separate, friction can occur, leading to the transfer of electrons between the materials. This transfer of electrons can result in one material becoming positively charged and the other negatively charged, creating static electricity. The flow of liquids or gases through pipes and hoses can lead to the generation of static electricity. This is especially true when the fluids pass through non-conductive materials, creating a separation of charges. Mixing or agitating liquids, powders, or granular materials can cause friction and separation of charges, leading to the generation of static electricity. Handling and transferring powders and solids can cause friction between particles, resulting in the build-up of static charges on the surfaces of the materials. When dissimilar materials come into contact and then separate, such as during loading and unloading processes, static charges can be generated. The presence of insulating materials, such as certain plastics, rubber, or dry non-conductive powders, can contribute to the accumulation of static charges. Low humidity conditions increase the likelihood of static electricity generation. Moisture in the air helps to dissipate static charges, so dry conditions can exacerbate the problem. The design of process equipment and piping and materials used can influence the generation of static electricity. Insulating materials in these structures can contribute to charge build-up.

Tanker Operations

The transfer of flammable and combustible products during the loading and unloading of road tankers poses a significant and severe fire and explosion risk in industrial site operations. As far back as 1967, a study conducted by the American Petroleum Institute (API) highlighted static discharges as the cause of more than 60 incidents in road tanker loading operations, underscoring the longstanding recognition of this potential threat. The vulnerability of road tanker operations to electrostatic discharge as a potential ignition source is aggravated by the absence of a grounding system or the use of an inadequate one, coupled with the movement of products within a flammable and combustible environment. In the absence of effective static grounding protection to prevent discharges, the movement of products through the vehicle or connected plant equipment leads to an escalation of charge levels. Once the accumulated charge reaches a critical threshold, the likelihood of a spark discharge becomes significantly elevated. In processes involving relative movement, static electricity is generated through the contact and separation of materials. Most plant equipment prone to static charge accumulation is constructed from metal. If the metal body of a tanker lacks proper grounding, it swiftly transforms into an isolated metal conductor, emerging as the primary source of a static spark ignition hazard.

Characteristics and Mechanisms

Unlike other forms of electricity like current or lightning, static charges are often invisible and build up silently, making it difficult to predict when or where a discharge might occur. This unpredictability adds to the element of surprise and can be unsettling. The exact mechanisms behind static charge generation at the atomic and molecular level are still not fully understood. While theories like triboelectric effect (friction-induced charge transfer) and flexoelectric effect (bending-induced charge separation) provide explanations, the specific roles of various factors and their complex interactions remain an area of ongoing research. Sometimes, identical materials rubbed together under similar conditions may produce different charging patterns, and the reason behind this variability is not always clear. This “stochastic” or random behaviour makes it challenging to consistently predict and control static electricity.

New Insight

Scientists have challenged conventional views on static electricity noting that identical materials can transfer charges, contrary to the belief that only different materials can generate static. By employing high-resolution scans using Kelvin force microscopy, researchers discovered that surfaces exhibit mosaic patterns of positive and negative charges on a micrometre scale. The study suggests that the traditional explanation of charge transfer through the exchange of electrons between surfaces is incomplete. Instead, the research points to chemical reactions and material transfer as crucial factors. The origin and dynamics of these mosaics are still being investigated, adding another layer of complexity to the phenomenon.

Epilogue

Static electricity manifests in diverse ways, from harmless hair-raising experiences to potentially dangerous sparks and explosions. This versatility underscores the need for deeper understanding and control measures across various fields, from everyday life to high-tech industries.

Chemingineering-Nature’s Factory

The use of plant extracts as intermediaries in the synthesis of chemicals has given a new twist to the term – Chemical Plant. Phytochemicals sourced from plants are emerging as excellent reducing and stabilising agents in the synthesis of nanoparticles. Riding on numerous success stories, plant-mediated synthesis of chemicals offers a sustainable way forward to the industry. 

Nature’s Factory

Plant-mediated chemical synthesis is a fascinating and rapidly growing field that harnesses the biochemical capabilities of plants to facilitate the synthesis of various chemicals, especially nanoparticles. This green and sustainable approach capitalises on the diverse array of secondary metabolites, enzymes, and other biomolecules present in plants.

Principles

The fundamental principle of plant-mediated chemical synthesis lies in utilising the inherent biochemical processes of plants to produce desired compounds. Plants are rich sources of secondary metabolites, including alkaloids, flavonoids, terpenes, and phenolics, which have well-established roles in their defence mechanisms and signalling pathways. These compounds often possess unique chemical structures and exhibit various biological activities. The synthesis process typically involves the interaction of plant extracts with precursor chemicals. Various plant parts, such as leaves, stems, roots, and fruits, can be employed depending on the target compound. The active components in the plant extract act as reducing, stabilising, or capping agents during the synthesis of diverse products.

History

The use of plant materials as a reducing agent for different metal ions dates to the early 1900s. However, the precise mechanism of action and the agent responsible for this reduction remained enigmatic during that era. Despite the lack of clarity, the appeal of plant materials as a facile and effective reducing agent garnered attention, especially gaining prominence in recent decades. Plant-mediated methods have proven to proceed via the rapid intra or extracellular processes.

Phytochemicals, such as terpenes, alkaloids, saponins, phenols, and alcohols inherent in plant materials, orchestrate the reduction processes of diverse metal salts. These phytochemicals, distributed across various plant parts like flowers, fruits, stems, leaves, and roots, have spurred numerous reports on the synthesis of metal-based nanoparticles through plant-mediated pathways.

Factors that have been reported to affect the preparation and properties of the prepared nanoparticles include the type of plant extract used, its concentration, the pH of the medium, the concentration of the metal salt, contact time, and temperature. Generally, the method involves the mixing of the extract of interest with an aqueous solution of the metal salt at room temperature. Although different temperatures have been reported, many nanoparticles have been successfully prepared at room temperature underscoring the simplicity and versatility of the plant-mediated synthesis approach.

Plant Parts

Leaves are commonly used for the synthesis of nanoparticles and organic compounds. Their high content of secondary metabolites makes them effective in mediating chemical reactions. Roots, with their unique biochemical composition, are employed for the synthesis of compounds with medicinal and pharmaceutical values. Plant stems, which often contain vascular tissues and secondary metabolites, are utilised for the synthesis of various chemicals and nanoparticles. Fruits, rich in vitamins, antioxidants, and other bioactive compounds, are being explored for the synthesis of materials with applications in the food and cosmetic industries. Utilising extracts from the entire plant offers a holistic approach, to incorporate a diverse range of biomolecules for the purpose of chemical synthesis.

Applications

The applications of plant-mediated chemical synthesis traverse diverse fields. In the realm of nanotechnology, this synthesis methodology stands out as a prolific producer of nanoparticles. Gold, silver, and metal oxide nanoparticles, born from the green embrace of plant extracts, find applications in catalysis, medicine, and electronics. The pharmaceutical arena reaps benefits as bioactive compounds derived from plant-mediated synthesis pave the way for anti-cancer agents, antibiotics, and therapeutic compounds. Nature’s pharmacy, unlocked through plant synthesis, holds promise for novel drug discoveries.

Cosmetics and personal care industries are not left untouched. The cosmetic palette is expanding with plant-derived dyes, fragrances, and antimicrobial agents, responding to the growing demand for sustainable and natural ingredients. Environmental remediation benefits from plant-mediated synthesis, as materials are crafted to remove pollutants and heavy metals from water and soil, contributing to a cleaner and healthier planet. In agriculture, the synthesis of bio-pesticides, herbicides, and plant growth-promoting materials emerges as a potential game-changer, aligning agricultural practices with sustainable and eco-friendly principles.

Advantages

One of the key advantages is the eco-friendly nature of plant-mediated synthesis. It reduces the reliance on traditional chemical synthesis methods that often involve hazardous reagents and by-products. Products obtained through plant-mediated synthesis are often biocompatible and suitable for biomedical applications. This is particularly crucial in the synthesis of materials for drug delivery and medical imaging. Utilising plant resources aligns with sustainable practices. Plants can be cultivated and harvested in a controlled manner, ensuring a continuous and sustainable source of raw materials. Plant-mediated synthesis can be cost-effective, especially when considering the scalability and ease of cultivation of many plant species. The vast array of secondary metabolites in plants allows for the synthesis of diverse compounds, expanding the potential applications of this approach.

Success Stories

Some success stories involve the synthesis of anticancer compounds using plant-mediated approaches. Certain plant extracts have been found to facilitate the synthesis of bioactive compounds with potential anticancer properties, opening up new avenues for drug discovery. Extracts from neem, a tree with myriad medicinal properties, have been utilised for the synthesis of silver nanoparticles. The phytochemicals in neem leaves serve as reducing and stabilising agents, resulting in the formation of silver nanoparticles with antimicrobial properties. Green tea extracts have been employed for the green synthesis of iron nanoparticles. The catechins present in green tea act as reducing agents, facilitating the formation of iron nanoparticles. These nanoparticles have shown promise in environmental remediation for the removal of heavy metals from water. Banana peel extract has been employed for the biogenic synthesis of palladium nanoparticles. The phenolic compounds in banana peel act as reducing agents, leading to the formation of palladium nanoparticles. These nanoparticles have shown catalytic activity in various chemical reactions.

Road Ahead

The path to harnessing nature’s synthesis capabilities is not without hurdles. Standardisation of plant-mediated synthesis is a formidable challenge due to the variability in plant species, growth conditions, and extraction procedures. A unified protocol is essential for reproducibility. Optimising processes for large-scale production is another obstacle, requiring a delicate balance between maintaining the eco-friendly essence and meeting industrial demands. Understanding the underlying mechanisms is an ongoing pursuit. Unlocking the secrets of plant-mediated synthesis will empower researchers to design processes more rationally and develop new materials. Bridging the gap between research laboratories and industrial applications is imperative for widespread adoption. Integration into industries will be the litmus test for the practicality and efficiency of plant-mediated synthesis. Exploration of novel plant species with unique biochemical profiles holds the promise of discovering hitherto unknown compounds, expanding the canvas of possibilities.

Epilogue

Plant-mediated chemical synthesis stands at the intersection of biology and chemistry, offering a sustainable and versatile approach for the production of a wide range of compounds. With ongoing research, standardisation efforts, and advancements in technology, plant-mediated synthesis holds the promise of transforming the chemical industry and contributing to a more sustainable future.

Chemingineering-Plasma Gasification

Plasma gasification is an innovative waste-to-energy technology that uses extremely high temperatures to convert organic materials, such as municipal solid waste, into syngas and vitrified solids. This environmentally friendly process minimises landfill usage, reduces greenhouse gas emissions, and recovers valuable resources. Plasma gasification has the potential to revolutionise waste management and contribute to a more sustainable future.

Plasma Gasification

Plasma gasification is an advanced waste treatment technology that uses extremely high temperatures generated by a plasma arc to convert various types of waste materials into syngas. The heart of the plasma gasification system is the plasma arc, which is created by passing an electrical current through a gas, typically a combination of argon and hydrogen. This arc generates temperatures of up to 5500 degrees Celsius, hotter than the surface of the sun. Municipal solid waste (MSW), hazardous waste, or other feedstock materials are introduced into the plasma chamber. These materials can include organic waste, plastics, metals, and more. The extreme heat of the plasma arc breaks down the complex organic molecules in the waste into simpler components. As a result, the waste is converted into syngas, which is composed of hydrogen, carbon monoxide, and other gases.

The syngas may undergo a cleaning process to remove impurities, such as sulfur compounds and particulates, making it suitable for energy generation or other applications. The syngas can be used to produce electricity and heat through gas turbines, steam boilers, or other energy conversion systems. This makes plasma gasification a potential source of clean and sustainable energy. After gasification, there is typically a solid residue left, often referred to as slag or vitrified material. This material is inert and non-hazardous, making it suitable for use in construction or other applications.

Many Advantages

Plasma gasification offers several advantages compared to traditional methods of gasification, which use a less extreme heat source, such as direct or indirect gasification. Plasma gasification uses extremely high temperatures, exceeding 5500 degrees Celsius, which enables the breakdown of complex molecules in waste materials more efficiently. Plasma gasification can handle a broader range of feedstockS, including hazardous and difficult-to-process waste streams, due to its higher temperature capability. The syngas produced in plasma gasification is often of higher quality with lower impurities, making it more suitable for a variety of applications, including energy generation and chemical production. Plasma gasification is particularly effective at destroying hazardous materials and toxic substances in the waste feed, reducing the environmental impact. Traditional gasification processes may produce tars and other by-products that require further treatment. Plasma gasification tends to minimise the production of these by-products.

 MSW Management

The growing volume of municipal solid waste (MSW) produced globally, approximately 440 kilograms per person annually, poses significant environmental and human risks due to the potential presence of hazardous pollutants. In many developing countries, MSW is either directed to sanitary landfills, reducing their lifespan, or disposed of in open dumping grounds, which elevates environmental and health risks. Therefore, it has become increasingly important to develop innovative technologies for the appropriate treatment of MSW to reduce its volume and mitigate negative impacts on ecosystems and society. Common methods for managing MSW include recycling, biological processes like composting and digestion, burial, and methods for recovering stored energy such as incineration, pyrolysis, and gasification. According to the principles of sustainable development, waste management should adhere to a hierarchy: waste prevention > reuse > recycling > recovery > burial. However, when it is impossible to implement the first three stages, energy recovery through incineration, pyrolysis, or gasification is considered the best practice.

Incineration and Pyrolysis

Incineration is a thermochemical process that involves the direct combustion of MSW in the presence of oxygen at high temperatures, usually above 850 degrees Celsius. Incineration significantly reduces waste volume and mass by approximately 90% and 75%, respectively. It also eliminates pathogens and generates heat, which can be converted into electrical energy. This method is widely used in developed countries and has gained popularity since the 1960s as a cost-effective process for waste-to-energy (WTE). However, incineration is associated with higher gas cleaning costs, and it can produce emissions of hazardous pollutants, such as SOx, NOx, dioxins, and furans, which can exceed permissible limits. In contrast, pyrolysis is a method with variable cost benefits and efficiency and is more suitable for homogeneous waste. Therefore, it is not generally applicable to the diverse composition of MSW. Gasification, however, offers an advantage by producing syngas under controlled conditions with partial oxidation of the raw material. This results in lower emissions of pollutants compared to other energy recovery processes.

Gasification

Gasification is particularly appealing for small cities where daily MSW production ranges from 20 to 100 tonnes. In countries like Brazil, where a large number of cities have a population of less than 200,000 and significant distances separate them, gasification becomes a practical option. However, a lack of financial investment and government support for commercialising the electricity generated during gasification has limited its industrial-scale implementation. While gasification has numerous advantages for waste treatment, it demands substantial energy input, which can affect its economic viability and lead to low or even negative net energy production. To address this, fluidised bed reactors have been used, which enhance mixing between reagents, maintain a uniform temperature, and allow for the use of different biomass types, including MSW or refuse-derived fuel from MSW.

Epilogue

Although plasma gasification is utilised for MSW processing on a real scale, technologies developed in the private sector are not widely shared. For instance, the Mutsu Waste Gasification facility in Japan processes 140 tonnes of MSW per day and has been generating electrical power since 2003. Similarly, Maharashtra Enviro Power Limited employs plasma gasification for the sterilisation of harmful residues. Plasma faces several challenges impeding widespread adoption. First, high initial capital costs for plasma facilities deter investment. Second, technical complexities and the need for skilled operators raise operational expenses. Environmental concerns, such as potential emissions of hazardous compounds and difficulties in managing solid residues, also hinder acceptance. Moreover, limited regulatory frameworks and public perception issues must be addressed to gain broader support. Lastly, competition from established waste management methods and limited proven long-term performance data make it difficult for plasma gasification to gain traction in the waste-to-energy sector.

Chemingineering: Aerogel-Wonder Insulation

Aerogel insulation is a game-changer for industry. Its low thermal conductivity and hydrophobic properties make it a formidable defence against temperature extremes and corrosion under insulation (CUI). With applications in refineries, petrochemical facilities, and LNG plants, aerogel insulation maintains process efficiency, reduces energy costs, and extends asset lifespan, all while withstanding harsh environmental conditions.

Aerogel – Wonder Insulation

Aerogel has the structural properties of a solid but is 97% air. It is the lightest solid to be ever created. It is also the most insulating material known to us.

Prologue

There is a significant scope for energy savings and reduced greenhouse gas emissions by improving the thermal insulation in the chemical industry. A normal chemical plant has 6-10% of its asset value in insulation systems. Energy audits are revealing that the industry continues to use outdated technical specifications resulting in insulation systems that are neither energy-efficient nor cost-effective under present market conditions. Maintenance of insulation is also grossly neglected. The pressure to reduce investment and maintenance costs, an increasing lack of insulation know-how and split responsibility for energy and maintenance budgets are among the main factors responsible for this situation.

Conventional Materials

Traditionally, materials like calcium silicate, mineral wool and fibreglass have been the mainstays of thermal insulation in the chemical industry. But they come with certain inherent limitations. One of the major drawbacks of these materials is the natural aging and degradation when subjected to humidity and thermal fluctuations, thereby reducing the thermal performance over their lifespan. They are bulky and heavy and add to the footprint and weight of equipment and piping. They also present challenges during installation, which can be time-consuming and labour-intensive. A growing crop of novel materials with unique properties have emerged in recent times and are on the threshold of revolutionising insulation management. The most promising among them is aerogel.

Aerogel

Aerogel owes its creation to a wager between Samuel Kistler and his fellow scientist Charles Learned over whether it was possible to replace the liquid inside a jelly jar without causing shrinkage. Kistler transformed the liquid into a supercritical state by increasing the temperature and pressure and then lowered the pressure, which vaporised and drove away the liquid leaving just the solid intact. Aerogels were commercialised as early as the 1940s by Monsanto, which made an aerogel-based product for use as a thickening agent in paints. However, in the 1970s the plant was closed down due to high manufacturing costs and stiff competition from other products.

NASA Spinoff

The credit for reviving aerogels goes to NASA. Aerogels were brittle to the point of uselessness, as well as costly to make and in the 1990s NASA put out a call for a flexible composite aerogel that could be used to manage the transfer and handling of cryogenic rocket fuels. The challenge was taken up by a company called Aspen Systems, which proposed a silica aerogel reinforced with ceramic fibres. The innovative product turned out to be less than half as conductive as even the best foam insulations of those days. They soon became the first, practical aerogel insulation and were used in many critical applications including Mars Rover.

The extremely low thermal conductivity (0.013 W/m K) makes aerogels attractive thermal super-insulators mainly by minimising heat conduction through their low density (80–200 kg/m3) and tortuous solid nanostructure (mesopore diameters between 4 and 20 nm). However, this comes at the expense of physical and mechanical properties. The low compressive strength and high susceptibility to fracture make them difficult to handle, and the damage can negatively affect the thermal performance. Additionally, aerogels are also prone to settling over time, especially when exposed to vibration or thermal cycling. To improve the durability and structural characteristics of aerogels for heat insulation applications, fibre-reinforced aerogel blankets (FRABs) have been developed. Typically, a FRAB is composed of aerogel particles covering a network of reinforcing fibres (polymer or ceramic) acting as a supporting skeleton.

CUI

Industrial insulation often faces challenges from water, especially in environments prone to heavy rainfall, high humidity, and exposure to ocean air, common in refining and petrochemical facilities. Aerogels are uniformly distributed in the blanket, creating an inherently hydrophobic composite that resists water ingress, even on cut edges. This hydrophobic property sets aerogels apart from surface-coated insulations.

Cryogenic Applications

Conventional LNG storage systems employ double-walled tanks with a deep-vacuum space filled with insulation material. Bulk-fill and layered systems are the primary solutions for tank insulation. Multi-layer insulation (MLI) offers the best thermal performance, achieving thermal conductivity values below 0.03 W/m K. However, MLI effectiveness depends on maintaining a vacuum level below 10−3 Pa, which can be challenging and costly to maintain. Bulk-fill systems, often using expanded perlite, offer a good balance of thermal performance, cost-effectiveness, safety, and low maintenance. However, perlite tends to compact and settle over time, increasing heat loss and causing potential damage to internal components. Water adsorption in perlite is another issue, leading to increased evaporation rates and maintenance costs.

Implementing FRAB technology in LNG cryogenic tanks could result in storing more LNG in the same tank volume, significantly reducing tank weight, lowering transportation costs and fuel consumption, and ensuring effective thermal insulation without the need for a vacuum, enhancing safety, cost-efficiency, and design simplicity.

Challenges

The manufacturing of aerogels involves a sol-gel process, with subsequent solvent removal without damaging the material’s porous structure. Supercritical drying, initially problematic due to solvent removal challenges, saw improvements with the Hunt process using CO2.  Improvements continue to be made to optimise the supercritical process and reduce the associated costs, this includes work on a continuous process and recycled feedstocks. Development also continues for alternative processes, this includes ambient pressure drying, freeze-drying, and even 3D printing.

Material costs significantly impact aerogel production, prompting efforts to employ cheaper or eco-friendly materials. Despite certain outstanding properties of silica aerogels, brittleness is a key limitation. This means that nearly all the commercial products to date include the aerogel as part of a composite design, with the other components either introduced during gelation or post-processing to provide structural integrity. In addition, surface treatments and other post-processing procedures have been developed to allow the porous structure to persist in a variety of environmental conditions.

Epilogue

The aerogel industry has faced setbacks in market penetration due to competition from more affordable materials. However, capacity expansion, increased awareness, alignment with market demands, and ongoing technical innovations are driving its growth and diversification.

India’s Logistics: Welcoming the Era of Productivity

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As India moves towards its goal for a USD 5 trillion economy, the need for industry to be aggressive, competitive, and productive will be the key value add to drive the country beyond.  For this, the imperative would be to improve the ease of doing business and one of the most important components of this plan would be logistics.  Though the recent announcement by DPIIT that India’s logistics cost ranged from 7.8% – 8.9% of GDP for the year 2021-22 seems to be significantly lower than expectations, there is a now a need to focus beyond cost.

Countries measure their logistics effectiveness through the World Bank’s Logistics performance index (LPI) which cover aspects of infrastructure, competence, traceability, and several other factors as its component.  In the last several years, India has moved up the ranks considerably and is now positioned at number 38.  However, we have a long way to go and focusing more on the drivers of performance and productivity will ensure our products are domestically and globally competitive against other nations.

The country has made immense progress over the last decade when it comes to logistics efficiency.  As per an IIMC-TCI study in 2014-15, the average speed of a truck in India was just 35 kmph which is now closer to 50 kmph.  Better roads and highways, expansion of port capacity, digitization of trade documentation and digital transactions including the use of fastags for tolled roads have all contributed to a significantly robust logistics ecosystem.  The National Logistics policy, now in its sophomore year, has clearly illustrated the need to increase multimodal logistics, lean heavily on digitization and build national standards.

At a macro level, logistics infrastructure must be built with a long-range perspective of 20 years and more. Shift towards seamless multimodal logistics not just for cost benefits but to reduce carbon emissions should be incentivized.  The 22m people employed in this sector needs a very strong skilling ecosystem for current and future skills and national recognition for their contribution to society.

At ground level, process improvements at users and service providers will provide significant upside to productivity growth.  Trucks stand for days at factories and warehouses for loading and unloading of cargo, companies insist for physical proof of delivery (POD) & physical invoices from providers vs digital, shift from ‘head load’ to palletization of cargo, increased discipline around supplier credit, deep focus on quality and several such rudimentary yet ignored measures need urgent focus.

As our country integrates into global supply chains, logistics can be that value driver to propel us towards a USD 10 trillion economy.   The era to move towards efficient and productive logistics has begun.

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