Software precision — through forecasting, simulation, and optimisation — becomes essential to maintaining energy security and reliability. As India accelerates towards a renewable-first energy system, AI-driven forecasting, digital twins, and cybersecurity are becoming essential for grid reliability and operational efficiency. The article explores how software-defined energy infrastructure is reshaping power system management in the clean energy era.
India’s energy transition is no longer just about adding renewable capacity — it is about reimagining how power systems are planned, operated, and secured in a software-defined world.
Read the full article published in RenewEdge website, where I have discussed India’s aspiration to build the software backbone of a renewable-first grid by embedding intelligence, resilience, and efficiency into its energy systems.
In the last two years, during conversations with Energy & Utilities (E&U) clients, one question consistently comes up: “How can Digital Twin technology help our organization?”Despite its growing popularity, many still perceive a Digital Twin as nothing more than a digital replica or 3D visualization of a physical asset. While visualization is part of the story, it is far from the whole.
The truth is, Digital Twin is not just a model; it is an evolving intelligence layer that spans the entire lifecycle of an asset: from design and engineering, to real-time monitoring, simulation-based optimization, predictive maintenance, and ultimately, decommissioning and recycling.
Read the full article in my LinkedIn post which explores the role of exponential technology in energy and utilities sector.
Generative AI (GenAI) technology is emerging as a powerful catalyst, capable of reshaping how utilities create knowledge, engage customers, and manage complexity. But the story doesn’t end there. The evolution toward Agentic AI (the AI systems that not only generate insights but also reason, plan, and act autonomously): signals a fundamental shift in what is possible. Together, GenAI and Agentic AI chart a pathway from assisted intelligence to autonomous intelligence, unlocking possibilities that mirror Telecom’s leap from chatbots and predictive analytics to self-healing, self-optimizing networks and others.
Read the full article in my LinkedIn post, where I have explained why GenAI is more than just “chatbots plus text generation”. It’s real power lies in combining large language models (LLMs), domain adaptation, multimodal capabilities, and decision support to transform how information is created, consumed, and operationalized.
The global dependence on fossil fuels has been a key driver of industrial progress, but it has also led to unprecedented environmental, economic, and health challenges. Fossil fuels, including coal, oil, and natural gas, are the largest contributors to greenhouse gas emissions, which in turn exacerbate climate change and its devastating effects—rising temperatures, extreme weather events, and declining air quality.
As global energy demand continues to rise, the urgent need to transition to cleaner, renewable energy sources becomes critical. Renewable energy not only offers a path to mitigate the negative impacts of fossil fuels but also holds promise for more sustainable economic growth, job creation, and enhanced energy security. This blog delves into the top-down view of the challenges created by fossil fuels and why the shift to renewables is essential for a more sustainable future.
75% of global greenhouse gas emissions are from fossil fuels burning
Known challenges from fossil
Greenhouse Gas Emissions and Climate Change: Fossil fuels (coal, oil, and natural gas) are the largest contributors to greenhouse gas emissions, primarily carbon dioxide (CO2). These emissions trap heat in the Earth’s atmosphere, leading to global warming and extreme climate changes, such as rising sea levels, droughts, wildfires, and more frequent severe weather events. Impact: The burning of fossil fuels contributes to about 75% of global greenhouse gas emissions, making it a critical driver of climate change.
Resource Depletion and Energy Security: Fossil fuels are finite resources. As reserves diminish, there is growing concern over energy security and rising prices. Geopolitical tensions and supply chain disruptions can affect the availability of fossil fuels, leading to market volatility. Impact: Global reliance on fossil fuels creates vulnerabilities in energy supply chains, particularly for nations that import large amounts of energy.
Environmental Degradation: Extracting and processing fossil fuels cause widespread environmental damage, including deforestation, habitat destruction, water pollution from oil spills, and the destruction of ecosystems due to mining and drilling activities. Impact: The environmental costs of fossil fuel extraction and use have long-term effects on biodiversity and the health of ecosystems.
Public Health Issues: Fossil fuel combustion leads to air pollution, releasing harmful particulates, nitrogen oxides (NOx), and sulfur dioxide (SO2), which contribute to respiratory diseases, heart disease, and premature deaths. Impact: According to the World Health Organization (WHO), air pollution from fossil fuels causes approximately 7 million deaths annually .
The Critical Need for Alternate Energy Sources
Transitioning to renewable energy is no longer a choice but a necessity. It provides a solution to mitigate climate change, reduce energy dependence, ensure energy security, and foster sustainable economic growth. Governments and corporations worldwide are increasing investments in renewable energy to meet decarbonization targets and global climate agreements like the Paris Agreement.
The urgency to transition from fossil fuels to alternate energy sources is primarily driven by the environmental, economic, and social impacts of continued reliance on conventional energy. Fossil fuels, such as coal, oil, and natural gas, account for the majority of CO2 emissions, which significantly contribute to global climate change. As the planet warms, we face increasingly severe consequences such as rising sea levels, extreme weather events, and the loss of biodiversity.
By 2030, a global shift to renewable energy could save $4.2 trillion in costs related to climate change and public health impacts.
Why Transition to Renewable Energy is Urgent?
Environmental Benefits: The energy sector is responsible for approximately 73% of global greenhouse gas emissions. To limit global warming to 1.5°C as per the Paris Agreement, carbon emissions need to be cut by 45% by 2030 from 2010 levels. Renewable energy sources like solar, wind, and hydropower can drastically reduce CO2 emissions. For example, replacing coal with renewable energy could reduce emissions by 80-90% per unit of electricity generated energy.
Security and Independence: Renewable energy sources are abundant and decentralized, helping nations reduce their reliance on fossil fuel imports. As global oil and gas supplies face political and economic fluctuations, renewables offer a stable alternative that enhances energy security.
Economic Value: The global renewable energy market was valued at approximately $880 billion in 2020 and is expected to grow to $1 trillion by 2030, with a compound annual growth rate (CAGR) of 8.4%. This transition is a significant economic opportunity. Investment in renewable energy will create millions of jobs. For instance, the International Renewable Energy Agency (IRENA) estimates that 42 million jobs could be created in the renewable energy sector by 2050.
Technological Advancements: Advances in energy storage, smart grids, and energy management systems (EMS) are making renewable energy sources more reliable and scalable. Solar power prices have fallen by over 80% in the last decade, while wind power has seen a 40% cost reduction. These trends make renewables increasingly competitive with fossil fuels.
Health and Social Benefits: Fossil fuel pollution is linked to millions of premature deaths annually. According to the World Health Organization (WHO), air pollution is responsible for 7 million deaths globally each year. Transitioning to renewable energy can improve air quality and reduce health care costs associated with pollution.
In summary, moving to alternate energy sources is not only crucial for addressing climate change but also offers significant economic, social, and health benefits. Delaying this transition could result in irreversible environmental damage and economic losses. By acting now, countries and industries can position themselves for a sustainable, resilient future.
Most nations will have transitioned to 80-90% renewable energy, driven by solar, wind, and green hydrogen solutions by 2050
Promising Renewable Energy Sources
Solar Energy: Solar power harnesses energy from the sun using photovoltaic (PV) cells or solar thermal collectors.Solar energy capacity has grown exponentially. In 2022, global solar capacity reached 1 TW (terawatt) and is expected to double by 2030. Innovations in energy storage, solar panel efficiency, and government incentives have fueled rapid adoption.
Wind Energy: Wind energy uses turbines to convert kinetic energy from wind into electricity. Offshore and onshore wind energy have seen significant growth, particularly in Europe and Asia. The global wind energy capacity exceeded 800 GW in 2022, with major investments in offshore wind farms due to their higher efficiency and stronger wind conditions.
Hydropower: Hydropower converts the kinetic energy of flowing water into electricity. It is the most established renewable energy source, accounting for 16% of global electricity generation. Although mature, new hydropower projects are being designed to be more environmentally sustainable, and pumped storage hydropower (PSH) is gaining attention for its ability to store energy, balancing supply and demand.
Geothermal Energy: Geothermal power harnesses heat from the Earth’s core to generate electricity. While geothermal has the potential for base-load power generation, its expansion is limited to regions with significant geothermal activity, such as Iceland, the U.S., and parts of Asia.
Hydrogen Energy: Hydrogen can be used as a clean energy carrier. Green hydrogen, produced via electrolysis using renewable energy, is gaining traction.Green hydrogen has emerged as a key component of energy strategies for hard-to-decarbonize sectors, including heavy industry, shipping, and aviation. Major economies, including the EU and Japan, have committed to hydrogen roadmaps for large-scale production.
Conclusion
The global energy landscape is undergoing a transformation, driven by the urgent need to reduce dependence on fossil fuels. While fossil fuels have powered economies for over a century, they have come at a steep environmental and social cost. The shift to renewable energy is essential for addressing climate change, improving energy security, and fostering sustainable development.
The renewable energy sector is expanding rapidly, with solar, wind, hydropower, and emerging technologies like hydrogen leading the way. As these technologies become more cost-effective and scalable, they hold the key to a sustainable and cleaner energy future. Leadership in renewable energy will require a deep understanding of these technologies, their potential, and the evolving energy market dynamics.
References
Here are some reliable sources you can reference in your blog’s reference section, focusing on the timeline and quantified data points related to the transition to renewable energy:
The rapid increase in atmospheric CO2 concentrations due to human activities is a major driver of climate change. Tackling CO2 emissions requires a multi-faceted approach that encompasses reducing emissions from existing operations, avoiding emissions through cleaner alternatives, and actively removing CO2 from the atmosphere. In this blog, we will discuss key methods for each of these approaches and highlight biochar as a promising method for carbon sequestration.
1. Emission Reduction
Limiting CO2 from existing operations is emission reduction, and is focused on lowering the CO2 produced by industrial manufacturing, transportation, and energy sectors. The goal is to decrease the volume of greenhouse gases being emitted into the atmosphere. Several strategies are widely adopted to achieve this:
1.1. Transition to Renewable Energy: Replacing fossil fuels with renewable energy sources is one of the most effective ways to reduce CO2 emissions. Solar, wind, hydro, and geothermal power generation produce little to no emissions compared to coal, oil, and natural gas. Advantages: Renewable energy can scale globally, offering a substantial reduction in carbon output. Challenges: Upfront infrastructure costs, land use for solar and wind farms, and grid reliability.
1.2. Energy Efficiency in Industry and Transportation: Improving the energy efficiency of industrial processes and vehicles can significantly reduce CO2 emissions. Innovations such as electric vehicles (EVs), more efficient machinery, and smart grid technologies minimize energy waste. Advantages: Less energy consumption translates directly into fewer emissions. Challenges: Implementation costs and the current reliance on fossil fuel infrastructure.
1.3. Carbon Capture, Utilization, and Storage (CCUS): CCUS involves capturing CO2 emissions at the source (e.g., power plants or industrial sites) and either storing it underground or utilizing it in other industries, such as for enhanced oil recovery or the production of building materials. Advantages: Can dramatically reduce emissions from existing operations without changing core processes. Challenges: High cost, infrastructure requirements, and uncertainty regarding long-term storage safety.
2. Emission Avoidance
Emission avoidance focuses on preventing CO2 from being emitted in the first place. This can be achieved by shifting to low-carbon alternatives and developing new technologies that bypass fossil fuel use altogether.
2.1. Electrification of Sectors: Replacing fossil fuel-based processes with electrified alternatives, especially when powered by renewables, is an important step toward decarbonization. For instance, the shift from gasoline-powered vehicles to electric vehicles (EVs) significantly reduces transportation emissions. Advantages: When powered by clean energy, the CO2 footprint can be near zero. Challenges: The need for a clean, reliable electricity grid and further development of battery technologies.
2.2. Green Hydrogen. Hydrogen produced using renewable energy (green hydrogen) can replace fossil fuels in industries like steel production, long-haul transport, and aviation. Green hydrogen has the potential to decarbonize sectors that are currently difficult to electrify. This also applies to technique like nuclear fusion a promising way to deliver clean energy at scale. Advantages: Clean-burning fuel with water as the only byproduct. Challenges: High costs and energy-intensive production process.
2.3. Circular Economy and Sustainable Practices: A circular economy involves designing products and systems in a way that minimizes waste and promotes reusing and recycling materials. Reducing the need for new resources and minimizing waste generation can lead to fewer emissions over the lifecycle of products. Advantages: Emission reductions through resource conservation and reduced production. Challenges: Requires large-scale changes to consumer behavior, production systems, and policy frameworks.
3. CO2 Removal
In addition to reducing and avoiding emissions, removing CO2 that’s already in the atmosphere is crucial to mitigating climate change. CO2 removal techniques aim to directly pull carbon from the air and store it permanently, either underground or in stable forms.
3.1. Direct Air Capture (DAC): Direct air capture involves using machines to pull CO2 directly out of the atmosphere and either storing it or using it in industrial applications. This technology has been gaining traction but remains expensive and energy-intensive. Advantages: Can potentially capture massive amounts of CO2 without relying on specific emission sources. Challenges: High energy consumption and costs, and the need for secure long-term storage solutions.
3.2. Reforestation and Afforestation: Trees naturally absorb CO2 as they grow. Planting more trees (afforestation) or restoring previously forested land (reforestation) is a relatively simple and cost-effective way to sequester carbon. Advantages: Natural, low-cost solution with additional biodiversity benefits. Challenges: Land availability, forest maintenance, and the long time scale required for trees to capture significant amounts of carbon.
3.3. Biochar: Biochar is a carbon-rich material created by heating organic biomass (e.g., agricultural waste, wood) in the absence of oxygen—a process called pyrolysis. When applied to soil, biochar has the potential to store carbon for hundreds or even thousands of years. Advantages: Biochar can lock carbon in stable forms that do not decompose or release CO2 back into the atmosphere. Challenges: scaling production and it’s applications to make a significant climate impact requires widespread adoption and infrastructure.
4. Biochar: A Promising Carbon Sequestration Technique
Biochar has significant potential in CO2 removal, especially when considered as a carbon sequestration technique with benefits for both climate mitigation and agriculture. Below, I’ll delve into some of the key benefits of biochar, drawing from the latest research and field knowledge…
Biochar is created through the pyrolysis of organic matter (such as agricultural waste, wood, or other biomass) under low oxygen conditions. This process produces a carbon-rich material that can be added to soils, where it remains stable for hundreds to thousands of years, effectively sequestering carbon that would otherwise be released as CO2 during natural decomposition. Biochar production has the added advantage of converting organic waste that would otherwise decompose and release CO2 (or even methane, a potent greenhouse gas) into a stable carbon form. For example, agricultural waste such as crop residues, forest thinning, or municipal green waste can be pyrolyzed to create biochar. The utilization of agricultural waste through biochar production could reduce methane emissions and contribute to a more sustainable waste management cycle promoting Circular economy.
Below pictures depict the value chains of biochar production, starting from feedstock to the final product as biochar. Later to this process, biochar get applied as soil amendments and other usage driving additionality (basically receiving addition benefits from an activity or actions). The process involves heating agricultural waste, wood chips, or other biomass to high temperatures, resulting in a substance that can be applied to soil as a soil amendment and other applications discussed later in this blog.
(Pictures taken during my field visit in August 2024)
Picture 1 depicts the feedstock used as source for making biochar. In Picture 2, feedstock were prepared to specific sizes those are manageable during the Pyrolysis process. Picture 3 is a Pyrolysis unit which maintain a high temperature environment without letting Oxygen involved in the process. And picture 4 is the biochar came out of a pyrolysis unit after the process. It is clearly evident the unique characteristics of biochar to retain the porous structure of the original biomass from which it was produced. This porous nature creates a vast surface area within the soil, which can hold water, nutrients, and air.
4.1 Additonality of Biochar
Biochar’s most significant advantage is its ability to lock away carbon in a stable form for hundreds to thousands of years. Unlike other forms of carbon sequestration, such as planting trees, which are susceptible to decay, fires, or deforestation; biochar remains inert in the soil, providing a reliable and long-term solution to CO2 removal. This carbon sequestration techniques entitles the biochar producers to get carbon credits in domestic and international markets and has commercial benefits. Research suggests that biochar can store up to 50% of the carbon present in the original biomass material. Depending on the scalability and adoption of the technology, the global potential of biochar is substantial. According to studies, biochar could remove and sequester between 0.5 to 2 gigatons of CO2 annually by 2050. Followings are the known applications of biochar once produced in prescribed pyrolysis techniques.
4.2 Soil Amendment
This physical structure of biochar (porous nature) is crucial for soil health, as it helps improve soil aeration, reduce compaction, and enhance water infiltration and retention.
Facilitating Bacterial Growth and Soil Microbial Activity: The porous structure of biochar also provides an ideal habitat for soil microorganisms, including bacteria and fungi. These microorganisms play a critical role in soil health by breaking down organic matter, cycling nutrients, and supporting plant growth. Furthermore, biochar’s ability to adsorb and retain nutrients within its structure means that it can act as a slow-release reservoir of essential nutrients for plants and microbes.
Reduction in Soil Acidity: Biochar often has a liming effect, meaning it can raise the pH of acidic soils. This reduction in soil acidity creates a more favourable environment for microbial activity and plant growth, so by moderating soil pH, biochar further enhances the biological activity in the soil
Improvement in Soil Fertility and Plant Growth: As biochar improves the physical and biological properties of soil, it also directly contributes to better plant growth. The increased microbial activity facilitated by biochar leads to more efficient nutrient cycling, making nutrients like nitrogen, phosphorus, and potassium more available to plants.
4.3 Construction mix
Biochar can be mixed with concrete to act as an insulator and reduce the overall cement usage in construction. Biochar acts as a thermal insulator, its application reduces cement consumption and hence lowers overall carbon footprint of buildings. As the construction industry in developing world grows, there is a push towards sustainable building materials, and biochar can be integrated into green building practices. The demand for biochar in concrete can rise as the industry focuses more on reducing emissions from cement.
4.3 Water purification
Biochar can be used in water filtration systems due to its high adsorption capacity. Biochar removes contaminants from water, it has huge potential to improve water quality both in rural and urban areas, particularly in rural areas where access to clean water is a challenge.
4.4 Energy Co-production
In addition to producing biochar, the pyrolysis process generates bio-oil and syngas, both of which can be used as bioenergy sources, thus replacing fossil fuels and contributing to additional carbon savings. Studies suggest that integrating biochar production into bioenergy systems can result in net-negative emissions. The energy produced from the process can offset up to 25% of the emissions from fossil fuels used in electricity generation.
5. Conclusion
Addressing the climate crisis requires a comprehensive approach that tackles CO2 emissions on multiple fronts. Reducing emissions through cleaner energy and increased efficiency, avoiding future emissions through electrification and sustainable practices, and removing existing CO2 through techniques like biochar are all critical components of this effort. Biochar, in particular, holds promise as a sustainable, long-term carbon sequestration solution that can simultaneously improve soil health and bring multiple benefits if used appropriately. The path to a low-carbon future is complex, but through the combination of these strategies, we can make meaningful progress toward mitigating climate change.
According to the latest available data, there are approximately 17 billion connected Internet of Things (IoT) devices and this figure is expected to almost double to 29 billion by 2030. As per verified market research, IoT Devices Market size was valued at USD 125 B$ in 2023 and is projected to reach 620 B$ by 2031 (1).
The growing adoption of smart devices has driven demand for IoT devices, making sustainability more critical than ever as IoT’s role in business continues to expand. Most of the IoT devices have dangerous elements inside, ranging from heavy metals such as lead, mercury, cadmium and beryllium to hazardous chemicals like brominated flame retardants.
They are smaller in size!
The good news is; compared to other technology products, IoT devices has lesser environmental impact and they can deliver greener results. IoT devices are small physical devices, so their production requires fewer raw materials and lesser plastics and packaging materials, thus producing less e-waste.
The unique design of IoT devices has inherent restrictions in memory, so they use embedded systems programming which can run in such restricted conditions. IoT industry dictates the development of more complex systems that can be run on limited resources. IoT devices are compact and smaller than regular computers, designed for seamless integration into various environments. Despite their size, they can perform critical tasks, including real-time monitoring and data analysis. Their efficiency and versatility make them essential in smart systems and automation. Manufacturing of IoT devices requires less material as well as less energy than a large computers.
IoT devices are used primarily for data collection. They continuously collect information and send it to data centers for analysis. The whole process takes a lot of energy and is perhaps not always worth it. It would be a good practice to evaluate the real need for IoT use, in terms of what we gain and how much we spend in the race for popular digital instruments.
Where is the challenge?
The challenge is in it’s waste disposal, and associated environmental impact. Some of the critical concerns are:
Increased Volume of E-Waste: The proliferation of IoT devices leads to a significant increase in electronic waste, contributing to the growing global e-waste problem. 17B IoT devices as of today and it is growing exponentially.
Resource Consumption and Toxicity: IoT devices often contain rare earth metals and hazardous materials that are challenging to recycle and can be toxic to the environment if not disposed of properly.
Short Lifespan: Many IoT devices have short lifespans and are not designed for easy disassembly or recycling, leading to more frequent disposal and accumulation of waste in landfills.
As we discussed at the beginning, IoT devices often contain heavy metals such as lead, mercury, and cadmium. These metals can leach into soil and water, causing environmental contamination and health issues like neurological damage, kidney disease, and cancer. Lead exposure can cause high blood pressure and brain, kidney and reproductive health issues in adults. Exposure to mercury may cause irritation to the eyes, skin, and stomach, cough, chest pain, or difficulty breathing, insomnia, irritability, among others. IoT devices often contain lithium-ion batteries in them, which can pose fire hazards if damaged. Improper disposal can lead to toxic leaks, causing soil and water contamination.
What are sustainable approaches?
To reduce the environmental impact of IoT devices in terms of e-waste, several approaches can be considered:
Design for Longevity and Repairability: Develop IoT devices with longer lifespans, modular components, and easy repairability to reduce the need for frequent replacements.
Use of Sustainable Materials: Utilise recyclable and non-toxic materials in the manufacturing of IoT devices to minimise environmental harm.
Improved Recycling Programs: Establish and promote efficient e-waste recycling programs to ensure proper disposal and recovery of valuable materials from discarded IoT devices.
Standardisation and Interoperability: Encourage standardisation of components and interoperability between devices to reduce the need for multiple, redundant gadgets.
Manufacturer Take-Back Schemes: Implement take-back programs where manufacturers are responsible for collecting and recycling their products at the end of their lifecycle.
Consumer Awareness and Education: Educate consumers about the environmental impact of e-waste and encourage responsible purchasing, usage, and disposal of IoT devices.
Legislation and Regulation: Advocate for stricter regulations and policies that mandate environmentally friendly practices in the production, usage, and disposal of IoT devices.
Can GenAI come to the rescue?
Identifying alternative materials used in IoT devices is crucial as we use more and more connected devices and in-order-to address environmental concerns. The search for eco-friendly materials can reduce the environmental impact and promote the development of greener technologies. Generative AI (GenAI) can play a pivotal role in this process by analysing vast amounts of data to predict and discover new materials with desirable properties. GenAI can simulate the performance of these materials in various conditions, accelerating the research and development process. Additionally, GenAI can optimise manufacturing processes to incorporate these new materials efficiently, ensuring that IoT devices are not only sustainable but also cost-effective and high-performing.
Conclusion
The market demand for IoT devices is rapidly increasing as industries and consumers want to harness the power of connected technologies for enhanced efficiency, convenience, and innovation. However, this surge in demand brings about significant environmental challenges due to the materials and manufacturing processes currently used. Adopting sustainable approaches in the production and deployment of IoT devices is critical to mitigating these environmental impacts. Sustainable practices, such as using eco-friendly materials, improving energy efficiency, and implementing robust recycling programs, ensure that the growth of IoT does not come at the expense of our planet. By prioritising sustainability, manufacturers not only will meet regulatory requirements but also will contribute to a greener future while maintaining the technological advancements that IoT devices offer.
Climate change is a global phenomenon, meaning it affects all parts of the world, regardless of geographic location. This interconnected impact is due to the Earth’s atmosphere and oceans being part of a global system, where changes in one region can have ripple effects across the globe. Here are several examples to justify why climate change is a global phenomenon:
Rising Sea Levels is due to various factors: increase in temperature driven by CO2 emissions into the atmosphere since late 19thcentury resulting into melting of polar ice that is adding more water to the oceanic system and expansion of water volume as the oceanic temperature increases. And we can see the global impact of rising sea levels that threaten coastal communities worldwide, including cities like New York, Shanghai, and Mumbai. This also impacts island nations such as the Maldives, which face the threat of becoming uninhabitable.
“While climate change is a global issue, effective mitigation and adaptation actions need to be localised“
“Formulating climate solutions requires a thorough understanding of the specific influencing factors, constraints, and opportunities within each region. Technology will play a more crucial role than ever before in enabling these localised solutions”
Over the past few weeks, the author has focused his research on climate change, particularly examining the region of Odisha, a coastal state in India. His aim has been to understand the various dynamics driving extreme weather conditions and to explore potential approaches for developing solutions addressing the climate change in this region.
Key Extreme Weather Events witnessed by people of Odisha are:
Heatwaves. A significant increase in the frequency and intensity of heatwaves have been observed where the state regularly experiences temperatures soaring above 40°C during summer, particularly affecting the western and interior regions. This has severe health impacts, leading to increased cases of heatstroke and dehydration.
Cyclones. Odisha’s coastline is prone to cyclones originating from the Bay of Bengal. The frequency and intensity of these cyclones have increased, with notable recent examples including Cyclone Fani (2019) and Cyclone Amphan (2020). Cyclones cause widespread damage to infrastructure, homes, and agriculture. They also result in significant economic losses and displacement of communities.
Flooding. The monsoon season brings heavy rainfall, often leading to severe flooding in low-lying and coastal areas. The erratic nature of monsoon patterns due to climate change exacerbates the frequency and severity of floods. Flooding results in loss of life, damage to property, and disruption of livelihoods. It also poses health risks due to waterborne diseases and hampers access to clean water and sanitation.
Drought. While certain areas of Odisha experience excessive rainfall, others suffer from prolonged dry spells. This irregularity in rainfall patterns contributes to drought conditions, especially in the western and interior districts. Droughts lead to water scarcity, reduced agricultural productivity, and increased food insecurity. They also affect the availability of drinking water and can lead to conflicts over water resources.
Causes of extreme weather
Global Climate Change. The increase in global temperatures due to greenhouse gas emissions is a primary driver of extreme weather events. Higher temperatures exacerbate heatwaves and influence ocean temperatures, contributing to more intense cyclones.
Deforestation. Deforestation and changes in land use, such as mining excavations, urbanization and industrialization, reduce the land’s natural ability to regulate temperature and absorb rainfall, leading to increased vulnerability to extreme weather.
Oceanic and Atmospheric Circulation. The Bay of Bengal’s warm waters and atmospheric conditions play a crucial role in the formation and intensification of cyclones. Changes in oceanic circulation patterns due to climate change further enhance these conditions.
These above are the obvious reasons for climate change. But, the author wants to introduce a new dynamics to this discussion that is topology of a region and how it plays a bigger role in trapping or releasing heat Odisha, plays a significant role in how heat is trapped on the land. Several geographical and climatic factors contribute to this phenomenon:
Geographical Features
The Eastern Ghats: The Eastern Ghats run parallel to the coast but are relatively low in altitude compared to the other parts of Eastern Ghat and Western Ghats. They do not act as significant barriers to the movement of moist air from the Bay of Bengal, allowing more humid air to move inland but not sufficiently high to block or reflect solar radiation. So Mountainous relief also called orographic lifting phenomenon to provide rlief from heat doesn’t occur.
Coastal Plains: Odisha’s coastal plains are flat and expansive, making them more susceptible to the accumulation of heat. The lack of significant elevation means there is little to disrupt the direct heating of the land surface by solar radiation.
Inland Water bodies: The presence of large rivers like the Mahanadi and various lakes and reservoirs can also affect local microclimates. Water bodies absorb heat during the day and release it slowly at night, which can moderate temperature fluctuations but also contribute to higher overall temperatures.
Solution Approach
In this case, we not only have man made challenges, but we have the topological adversity playing a bigger role. High humidity levels, especially after the monsoon season, can trap heat in the lower atmosphere, leading to increased night-time temperatures. This reduces the cooling effect that typically occurs during the night.
While everyone is working towards reduced CO2 emission to tackle the global temperature rise, this may not yield greater result for region like Odisha unless we look at the holistic view and have adaptation actions for topological adversity discussed above.
How to reduce direct heating of the land?
Planation and agriculture practices that can use humidity from the atmosphere and doesn’t rely on monsoon rain.
Some of the strategy considered to reduce direct heating are:
Reforestation and Afforestation: Planting trees and restoring forests in rural and peri-urban areas can significantly increase the amount of shaded land and improve local microclimates.
Deploying solar panels: Covering the open space and surface of the water bodies with solar panels, will help to reduce the amount of heat absorbed by the land and water. Solar panels on water bodies in turn, can help to reduce evaporation, save water and maintain a healthy aquatic ecosystem.
Mangroves and Coastal Forests: Coastal forests, including mangrove ecosystems, play a significant role in cooling the coastal areas. These green cover areas provide shade, reduce the heat island effect, and help maintain cooler temperatures through transpiration.
Reflective: Using light-colored or reflective materials for buildings, roads, and other infrastructure that will reflect more sunlight and absorb less heat.
Cool Roofs: Installing cool roofs with reflective coatings or materials can reduce the amount of heat absorbed by buildings, thereby lowering surrounding temperatures.
Urban Greening: Planting trees, shrubs, and other vegetation in urban areas can provide shade and reduce surface temperatures through transpiration.
Parks and Green Spaces: Designing urban areas with ample parks and green spaces can reduce overall temperatures by providing shaded areas and promoting natural cooling.
Permeable Surfaces: Using permeable materials for pavements and roads allows rainwater to infiltrate the ground, which can reduce surface temperatures and promote cooling through evaporation.
Conclusion
Odisha’s vulnerability to extreme weather events due to climate change necessitates a comprehensive approach involving mitigation, adaptation, and community resilience-building. The combination of Odisha’s flat coastal plains, low mountain ranges, humid climate, extensive deforestation, and urbanization leads to the trapping of heat on the land. These factors, combined with seasonal weather patterns, result in the region experiencing high temperatures, especially during the post-monsoon and dry seasons. Understanding these geographical and climatic influences is crucial for developing strategies to mitigate heat-related impacts in the region.
This is initial findings and thoughts from the author which needs more detail study in-order to come-up with effective mitigation and adaptation actions. These solution approaches need to be combined with policy actions because of the inhernet complexity and broader scope.
Author is open for comments and potential collaborative works in this area.
Generative AI is dominating conversations due to its transformative impact across industries. From generating creative content to aiding in problem-solving, these systems are revolutionizing how we approach tasks. With their ability to innovate, automate, and personalize, Generative AI technologies are at the forefront of shaping the future of technology and human interaction. Ensuring technology advancements benefit all, not just the privileged few, is paramount. While major tech players and governments strive for inclusive and equitable technology use, individuals must also acquire basic skills to prevent widening skill gaps. Accessible technology empowers everyone to participate fully in the digital age, fostering a more equitable and prosperous society.
Crafting well-designed prompts empowers users to steer the AI towards desired outcomes, maximizing creativity and relevance
Introduction
Rule based systems vs Trained systems
Trained systems learn from the data, they adapt and improve over time. Whereas, programmed systems follow predefined instructions without any learning capabilities. Today’s intelligent systems (using AI technology) are trained, not programmed. Instead of programming or writing specific rules to solve a problem, AI systems are fed with examples of ‘what it will encounter’ in the real world. AI systems then detect the patterns and produce their own ‘rules’ based on the examples. While trained systems offer flexibility and adaptation, programmed ones excel in precise execution.
So, Artificial Intelligence (AI) is the science and engineering of making intelligent machines, that can perform tasks which typically requires human intelligence (John McCarthy, 2007). At its simplest form, Artificial Intelligence is a field which combines Computer Science with robust data set.
AI systems typically perform functions like ‘classifying data’ (e.g. assigning labels to images), ‘grouping data’ (e.g. identifying customer segments with similar purchasing behavior), or ‘choosing actions’ (e.g. steering an autonomous vehicle).
What is Generative AI?
Generative AI (GenAI) is the latest development in AI field, where the primary function of the AI system is to generate content, content that is similar to/ indistinguishable from human-created content.
Generative AI is crucial because it empowers us to create new content, ranging from art to music to text, with minimal human intervention. Mastering generative AI allows for innovative problem-solving, creative expression, and automation across various fields, making it a valuable skill in today’s rapidly evolving technological landscape.
Who are the consumers?
Consumers of generative AI systems can be diverse, ranging from individual creators and artists to businesses and organizations across industries such as entertainment, marketing, design, education, healthcare, and more. These systems cater to anyone seeking automated content generation, personalized recommendations, enhanced creativity, or improved efficiency in their work processes. Additionally, consumers could include developers and researchers interested in advancing the capabilities of generative AI itself.
Why to embrace generative AI?
Understanding generative AI skills can be incredibly valuable for several reasons:
Creative Expression: Generative AI empowers individuals to express their creativity in new and exciting ways, whether it’s through generating art, music, literature, or even entirely new concepts. This skill allows for innovative exploration and pushes the boundaries of traditional creative processes.
Problem Solving: Generative AI techniques can be applied to various problem-solving scenarios, such as generating synthetic data for training machine learning models, designing optimized structures in engineering, or simulating complex systems for research purposes. By mastering generative AI, individuals gain a powerful toolset for addressing real-world challenges.
Career Opportunities: With the increasing integration of AI technologies across industries, proficiency in generative AI can open up numerous career opportunities. From roles in software development and data science to creative fields like design and entertainment, individuals with generative AI skills are in high demand and can command competitive salaries in the job market.
Can Gen AI systems make mistakes?
A big yes. While it strives for accuracy and coherence in it’s response; there might be occasions where AI systems can misinterpret the context and provide information that’s outdated or inaccurate.
Large Language Models (LLM)
Large language models are advanced AI systems trained on vast amounts of text data, capable of understanding and generating human-like language. They exhibit impressive language comprehension, enabling them to perform tasks such as text generation, summarization, translation, and question answering.
Generative AI systems are based on large language models which forces users to understand how they are trained. Training a LLM involves feeding it vast amounts of text data to learn patterns and language nuances. The process begins with pre-training on a diverse dataset to impart general knowledge and language understanding to the model. Fine-tuning is the next step which involves training the LLM on a more specific dataset for a particular task or domain. During training, the model adjusts its internal parameters through iterations to minimize prediction errors and improve performance. Finally, validation datasets are used to monitor the model’s performance and prevent overfitting during training.
Despite their capabilities, challenges such as ethical concerns, biases, and energy consumption highlight the need for responsible development and deployment of these models.
Key advantages of Gen AI systems
Creative Output: Gen AI can generate novel and creative content, including images, music, and text, which can be valuable for artistic endeavors, content creation, and design projects.
Automation of Tasks: Gen AI can automate repetitive tasks, such as data entry, image generation, and text summarization, freeing up human resources for more complex and creative endeavors.
Personalization: Gen AI can analyze large datasets and user preferences to generate personalized recommendations and experiences, enhancing customer engagement and satisfaction in various industries such as e-commerce, entertainment, and marketing.
Problem-solving: Gen AI can assist in problem-solving by generating solutions, optimizing processes, and identifying patterns in data, enabling organizations to make data-driven decisions and innovate more effectively.
Efficiency and Scalability: Gen AI can improve efficiency and scalability by automating workflows, optimizing resource allocation, and accelerating innovation cycles, leading to cost savings and competitive advantages for businesses and organizations.
Known dis-advantages of Gen AI systems.
While Generative AI (Gen AI) offers numerous benefits, it also presents some disadvantages:
Ethical Concerns: Gen AI raises ethical concerns regarding the authenticity and ownership of generated content. There are debates surrounding the potential misuse of AI-generated content for spreading misinformation, creating fake news, and manipulating public opinion.
Bias and Discrimination: Gen AI models trained on biased datasets may inadvertently perpetuate biases and discrimination in generated content. This can lead to unfair outcomes, reinforce stereotypes, and exacerbate societal inequalities.
Security Risks: Gen AI poses security risks, including the potential for malicious actors to exploit vulnerabilities in AI systems to generate fake identities, bypass authentication mechanisms, or launch cyberattacks such as phishing scams and social engineering attacks.
Loss of Jobs: The automation capabilities of Gen AI may lead to job displacement and unemployment in certain industries, as AI systems can perform tasks more efficiently and cost-effectively than humans. This can have socio-economic implications and require workforce retraining and reskilling initiatives.
Hallucination/ Dependence on Data: Gen AI models require large volumes of high-quality data for training, which can be expensive, time-consuming, and resource-intensive. Additionally, reliance on data may raise privacy concerns and require compliance with data protection regulations. Moreover, if the data is biased or incomplete, it can lead to inaccurate or unreliable AI-generated outputs.
As per Mckinsey report, economic potential of Generative AI is $4.1 Trillion each year, that is 4.4% of the total economic output. Generative AI has the potential to change the anatomy of work, augmenting the capabilities of individual workers by automating some of their individual activities. Generative AI will have a significant impact across all industry sectors. Banking, high tech, and life sciences are among the industries that could see the biggest impact as a percentage of their revenues from generative AI.
How to unlock the potential of Gen AI?
To unlock the potential of Generative AI as an individual, one should learn and experiment by diving into learning Generative AI techniques/ tools/ frameworks. Experiment with small projects to understand its capabilities and limitations.
Continuous Learning is needed to keep up with the latest research, advancements, and best practices in Generative AI. Individual may want to share findings, insights, and projects output with the community in order to foster collaboration and exchange ideas, expertise for growth and learning.
The key is to also stay informed about ethical considerations surrounding generative AI, such as bias mitigation and privacy concerns; and ensure responsible usage and deployment of AI-generated content.
Be a prompt engineer
Prompt engineering is a strategic and creative endeavor that shapes the interactions between humans and artificial intelligence systems. This is the process of crafting effective and specific prompts to guide artificial intelligence systems. It involves designing questions or statements that elicit desired responses from AI models. It is crucial in influencing the output and behavior of AI, ensuring accuracy and relevance in the generated content. By carefully constructing prompts, engineers can control the direction and focus of AI models, leading to more tailored and useful responses.
The effectiveness of prompt engineering can greatly impact the overall user experience and usefulness of AI-powered tools and services.
Conclusion
In summary, prompt engineering serves as a strategic tool for harnessing the power of Generative AI, by guiding the model’s output towards desired outcomes. Crafting well-designed prompts can steer the generative AI model to produce outputs that align with specific goals or criteria, ensuring precision and relevance in the generated content. Prompt engineering can help mitigate biases in generative AI outputs by providing prompts that encourage fair and unbiased content generation, promoting diversity and inclusivity. And finally, tailoring prompts to specific domains or tasks enables generative AI models to produce content that is relevant and useful within those contexts, enhancing their practical applicability.
Smart city is not a new concept, it exists for more than a decade now. Rather, I would say the definition of Smart city has changed over the time. During early 2000, definition of Smart City was more towards, connecting all disparate systems like land management system, traffic, telecommunication, electricity network, water supply, sewerage system; to operate the city in a seamless fashion. Focus was more on responding to crisis; either caused by nature or man-made, orchestrating various sub systems of a city to work in tandem and act in a wholistic manner. I call this as smart city 1.0. In the second wave, it was more towards deploying various types of technology methods, sensors devices to collect real-time data and use the Insights gained from those data to better manage the assets and resources. In this Smart City 2.0, focus was more on making city services more efficient by making sure bottlenecks in road infrastructure, energy distributions, sewerage network are identified and addressed before even they arise. Now we are in 3rd wave of Smart city which I termed as Smart City 3.0, where the focus is to address the human aspects, the community aspects, to drive economic growth and at the same time to improve the quality of life and improve collaboration among citizens. Extreme urbanization has got many challenges for the cities, either people have migrated from rural areas to the city centers or people live in city’s outskirts and drive to their work place as housing near city centers are not affordable. This housing crisis is due to Euclidean zoning where city divides land into residential, commercial, and industrial areas that resulted into road congestions as people travel long distance to work on daily basis.
Following are key characteristics of the smart city 3.0 where technology as enabler, is going to play major role in transforming it:
Making city more liveable. More than 50% of city’s landscape is occupied by roads and parking lots (Gardner, 2011), cars on the road are oversized, no place for pedestrians, and not enough playgrounds for kids. Challenge is to plan/design our cities for people and not for machines.
Affordable housing. Housing in cities became expensive for young professionals and lower income group citizens. Ideas and plan for affordable housing for all sections of people to be promoted.
Reduced traffic congestion. City to offer workplaces closer to affordable housing and provide access to all the services like schools, restaurants, shopping and other within walking distance where they live. This will not only cut down traffic congestions but will promote collaborations among citizens.
Ride sharing. Electric vehicles will solve the air pollution problem, but wouldn’t address the road congestion challenges that cities are facing today. Culture of ride sharing needs to be nurtured in the city. Research has shown that the risk of collision between pedestrians and motorised vehicles reduces when more number of people starts riding cycles (Elvik, 2009).
Innovation Districts: Establishing innovation districts in city center with closer proximity to university will attract young talents into the city, will promote new and diverse ideas.
