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How IIT Kanpur is Paving the Way for a Solar-Powered Future in India’s Energy Transition

At IIT Kanpur, an ambitious solar energy project is reshaping the way India approaches renewable energy. By integrating solar power with smart grids and energy storage, the project aims to make communities more energy-independent and sustainable

Dipin Damodharan

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A house in the residential lanes of IIT Kanpur campus, equipped with a 5kWp Solar PV system and Smart Meters. Image credit: Dipin Damodharan

The narrow roads within IIT Kanpur’s campus wind through a vibrant residential neighbourhood, where compact, beautifully designed homes house the staff. Above these homes, solar panels gleam in the sunlight—not merely as an aesthetic feature, but as a symbol of a much larger energy transformation underway. This gleam reflects a bold vision for India’s energy future, one that’s driven by solar power, smart technology, and community participation.

At the heart of this transformation is IIT Kanpur, located in India’s Uttar Pradesh, lighting the way toward an energy future powered by clean, renewable energy. With innovation as its cornerstone, IIT Kanpur is shaping a new model of energy independence for India—a model that could be replicated across the country.

The spark of change

In 2017, the Indo-US partnership, known as the US-India Collaborative for Smart Distribution System with Storage (UI-ASSIST), was launched, bringing together top institutions from both countries. Led by Washington State University in the U.S. and IIT Kanpur in India, the partnership also includes IIT Delhi, IIT Madras, IIT Roorkee, IIT Bhubaneswar, and TERI (The Energy and Resources Institute). Their collective goal: to create scalable, sustainable solutions for integrating renewable energy into India’s power grid. “This new consortium demonstrates the U.S. and India’s commitment to ensuring access to affordable and reliable energy in both countries,” said then-U.S. Energy Secretary Rick Perry. “We know that continued grid innovation will foster economic growth and enhance energy security in both the United States and India.”

IIT Kanpur’s residential area has become a testing ground for this vision. Out of the 51 homes in residential lanes 32 and 33, 30 houses were selected based on a shadow analysis survey. These homes have been equipped with 5kWp Solar Photovoltaic (PV) systems and state-of-the-art smart meters, turning residents into active energy producers. This transformation was part of a larger vision to create a microgrid capable of providing energy independence to the community.

Image credit: Dipin Damodharan

A model of solar empowerment

Imagine this: families, once entirely dependent on the grid, now waking up to homes powered by the sun. “In Lane 32, 12 of the 21 homes are now powered by solar energy, while 18 out of 30 homes in Lane 33 have solar PV installations,” says Shiv Kumar Singh, Research Establishment Officer at IIT Kanpur’s Department of Electrical Engineering.

Image credit: Dipin Damodharan

These homes are no longer passive consumers. With 5 kW of solar capacity, they actively contribute to the energy network, providing power to the grid and helping to reduce the community’s overall carbon footprint. For IIT Kanpur, this project is more than just an experiment—it’s a proof of concept for how solar energy can be scaled beyond cities and industries and into residential communities.

The hidden power: Energy storage and control

At the core of this experiment lies a powerful duo: energy storage and smart management. According to Shiv Kumar Singh, the project integrates two centralized lithium-ion battery storage systems—one with a 140 kWh capacity and another with 100 kWh. These systems store excess solar energy generated during the day and return it to the grid during the evening, when the sun sets.

But it doesn’t stop there. The project is made even smarter by the use of data. Smart meters, installed throughout the system, constantly collect data on energy consumption. This data is fed into a SCADA control center, where it’s analyzed in real-time to optimize energy usage and ensure the grid operates as efficiently as possible. This intelligent, data-driven approach maximizes every watt of energy generated and consumed.

Semi-urban field pilot: Network architecture overview.

Driving the future of clean transportation

As solar energy begins to power homes, another puzzle piece is being put in place: clean transportation. At IIT Kanpur, two new electric vehicle (EV) charging stations have been set up near the main gate and the nearby Community Centre. These stations are equipped with a variety of chargers, including 50kW DC fast chargers, 22kW AC chargers, and 7.6kW Vehicle-to-Home (V2H) chargers, integrated with a 25kW solar PV array.

This isn’t just about charging vehicles; it’s about creating a self-sustaining ecosystem where transportation and energy generation are interconnected. By using clean energy to charge electric vehicles, IIT Kanpur is contributing to a future where urban mobility is powered by renewable resources, significantly reducing the carbon footprint of transportation.

Smart and sustainable: The microgrid revolution

The centerpiece of this entire initiative is the microgrid, which is controlled and optimized by a sophisticated Microgrid Controller. This technology ensures that energy is distributed efficiently among solar PV systems, storage units, and EV charging stations, keeping everything balanced and functioning smoothly. Thanks to real-time data analysis from the smart meters and SCADA center, the system isn’t just reactive—it’s proactive, learning from its environment and optimizing energy use as it goes.

Urban field demonstration pilot at IIT Kanpur

With growing urban energy demands, India faces a unique set of challenges. Multi-story buildings, high air-conditioning loads, and reliance on Diesel Generators (DGs) for backup power add significant strain to the grid and contribute to pollution. IIT Kanpur is tackling these issues head-on with two groundbreaking sub-pilots that demonstrate innovative energy solutions.

Shiv Kumar Singh explaining the project at the Smart Grid Control Centre at IIT Kanpur.Image Credit: Dipin Damodharan

The first sub-pilot features a small, grid-connected microgrid designed to supply energy to two multi-story residential towers. By integrating Solar PV systems and Battery Energy Storage Systems (BESS), this project reduces the reliance on DGs and provides a more sustainable, reliable energy source. During power outages, BESS ensures uninterrupted power for essential services, such as lifts and lighting in common areas.

The second sub-pilot showcases the potential of Thermal Energy Storage (TES) system, which, inaugurated in November 2020, help reduce peak air-conditioning loads. By storing cool energy during off-peak hours, TES systems cut energy consumption during peak demand times. This system has already been installed at IIT Kanpur’s Centre for Environmental Science and Engineering, where a 775 TRHR TES system is actively reducing air-conditioning loads, further enhancing energy efficiency.

The environmental impact

IIT Kanpur’s approach goes beyond technology; it’s about creating lasting environmental and social benefits. By integrating TES and solar PV systems, the initiative not only reduces peak load but also cuts carbon emissions, contributing to India’s carbon-neutral goals. The integration of BESS ensures that the urban microgrid remains reliable even during power outages, helping foster long-term sustainability.

The 775 TRHR TES system at the Centre for Environmental Science and Engineering plays a key role in reducing the building’s air-conditioning demand. By using phase change materials with glycol solution as the coolant, it absorbs off-peak energy to cool the building during peak periods, leading to significant energy savings.

According to a research paper (2022) by Suresh Chandra Srivastava, Sameer Khandekar, Shiv Kumar Singh, Vinay Kumar Tiwari, and Ankush Sharma from IIT Kanpur, this system has led to a reduction in peak load energy consumption, as verified through data recorded by the SCADA system monitoring the Institute’s power distribution network. By discharging during peak hours and charging during off-peak hours, the system helps reduce peak load and offers potential cost savings, as electricity costs are higher during peak times.

Thermal Energy Storage (TES) system at IIT Kanpur’s Centre for Environmental Science and Engineering.Image Credit: Dipin Damodharan

This technology has the potential for widespread adoption in smart cities and data centers across India, further advancing the country’s renewable energy vision.

Shaping India’s renewable energy future

India’s goal of achieving 500 GW of renewable energy capacity by 2030, with a significant portion coming from solar, is ambitious but increasingly attainable with projects like IIT Kanpur’s. With nearly 40% of solar PV installations expected to be on rooftops connected to the distribution network, initiatives like this one are essential for meeting the country’s renewable energy targets.

By demonstrating how solar energy, energy storage, and sustainable infrastructure can be integrated at the community level, IIT Kanpur is not just building a model for India—it’s creating a blueprint for the world. As the world shifts towards a cleaner, more sustainable future, IIT Kanpur is leading the way.

(This story is produced as part of the Internews Earth Journalism Network’s Science Communicators Workshop on renewable energy)

Dipin is Co-founder and Editor-in-Chief at EdPublica. A journalist and editor with over 15 years of experience leading and co-founding print and digital media outlets, his pieces on education, politics, and culture have been published in global media outlets, including The Huffington Post, The Himalayan Times, DailyO, Education Insider and so on.

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Expanding Roads in Africa’s Mountains Threaten Endangered Wildlife

As road networks expand into Africa’s mountainous regions, endangered and vulnerable wildlife face increasing risks of roadkill. Experts warn that without better monitoring and conservation efforts, this growing threat could decimate unique biodiversity

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African Wild Dog. Image credit: Wikimedia Commons/AfricanConservation

The remote mountain regions of the world, once pristine and largely untouched by human development, are becoming increasingly perilous for wildlife. As road networks extend into these rugged terrains, endangered and vulnerable species are facing an ominous new threat—roadkill.

Species such as the African wild dog (endangered), lions and leopards (both vulnerable), elephants (endangered), and honey badgers (near threatened) are at grave risk, according to new research presented by Professor Aliza le Roux, Assistant Dean of the Faculty of Natural and Agricultural Sciences at the University of the Free State. These animals, many classified by the International Union for Conservation of Nature (IUCN) as at risk, face an increasingly perilous existence.

Professor Aliza le Roux

In her compelling presentation at the Southern African Mountain Conference (SAMC2025), she revealed the stark reality that these once-untouched ecosystems are now being invaded by expanding roads that are leading to more wildlife-vehicle collisions, many of them fatal.

“Wildlife in these regions is incredibly vulnerable, and as roads push deeper into mountainous areas, we’re seeing a dramatic rise in roadkill incidents,” said Prof Le Roux. “Among the casualties, we’re finding not just mammals, but also critically endangered birds like the hooded vulture and the steppe eagle.”

The conference, which brought together leading researchers, policymakers, and environmental experts, focused on the dire state of mountain ecosystems, communities, and biodiversity. UNESCO, in partnership with the University of the Free State’s Afromontane Research Unit, the African Mountain Research Foundation, and the Global Mountain Safeguard Research Programme, facilitated the gathering.

For the past several months, Prof Le Roux and her colleagues—Dr Katlego Mashiane, a lecturer at the UFS Department of Geography, and Dr Clara Grilo of the BIOPOLIS project in Portugal—have scoured decades’ worth of data on roadkill, analyzing published papers from 1971 to 2024. The findings were both alarming and illuminating, revealing that the majority of roadkill data available for Africa has emerged only in the 21st century.

A Growing Threat to Wildlife

In mountainous regions, amphibians were found to be the most frequent roadkill victims, while mammals, particularly those most vulnerable to extinction, were most often killed in the low-lying regions. In some high-elevation mountains, nearly 8% of mammals killed on the roads were species classified as endangered or vulnerable. Even more alarming, the roadkill rate in these regions continues to rise as human development accelerates.

“Many smaller species—those weighing less than 1 kilogram—fall victim to vehicles simply because we don’t see them. However, larger mammals, such as elephants or antelope, are often noticed only after the crash,” Prof Le Roux explained. “When these large animals are killed, it’s not just a loss for the species; it’s a loss for us too, as these collisions can cause significant damage to vehicles and pose a danger to human drivers.”

The risk is compounded by unpredictable weather and treacherous mountain roads, where sudden changes in terrain and visibility make it difficult for both drivers and wildlife to react in time. Prof Le Roux and her team noted that the ruggedness of these areas makes it harder for animals to detect oncoming vehicles, raising the likelihood of accidents.

“These regions are already dangerous for drivers, but for wildlife, the roads are a death trap,” Prof Le Roux said. “The increased number of vehicles, combined with better-paved roads, is putting more and more wildlife at risk.”

Using sophisticated tools like Google Earth Engine’s geospatial platform, the researchers analyzed data from a variety of terrains, classifying areas by elevation. High-elevation mountains, defined as regions above 2,000 meters, moderate elevations between 1,500 and 2,000 meters, and lowland areas below 1,500 meters were all found to have significant roadkill rates, particularly among mammals and birds of conservation concern.

Data Gaps and Underreporting

The study highlighted a critical issue: limited data. Despite the alarming trends, the lack of comprehensive, systematic data across much of the African continent has left major gaps in understanding the full scope of the roadkill crisis. Data was available for only 10 countries, and much of the information consisted of ‘snapshots’ rather than long-term, continuous monitoring.

“There is so much we don’t know about the true scale of this issue across Africa, particularly in the central and western regions,” Prof Le Roux lamented. “What we do know is that these collisions are happening in areas that are home to species that exist nowhere else. We cannot afford to ignore the threat to biodiversity in these mountain ecosystems.”

As the push for infrastructure development grows, the consequences for wildlife have never been clearer. The growing mortality rate among vulnerable species, many of which are already at risk of extinction, could result in devastating losses for biodiversity.

Prof Le Roux and her colleagues urge immediate action to mitigate these risks, calling for more comprehensive data collection, better road planning, and the implementation of wildlife corridors to safeguard these precious ecosystems.

“We must recognize that as we expand our roads into these high-risk areas, we’re also taking a toll on the very creatures that make these mountains so unique,” Prof Le Roux said, emphasizing the urgent need for a balanced approach to development and conservation.

As the conference came to a close, one message echoed throughout the halls: The future of Africa’s mountainous wildlife depends on the actions we take now. The clock is ticking, and the road ahead may be the final journey for some of the continent’s most endangered creatures.

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$4.3 Trillion Economic Loss: The Rising Cost of Climate Change and the Urgent Need for Early Warning Systems

Early warning systems, which are proven to reduce the economic and human costs of extreme weather, remain inaccessible to nearly half of the world’s countries

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Photo by Vincent M.A. Janssen: Pexels.com

The world is paying an increasingly heavy price for the devastating effects of climate change. In the last five decades alone, global economic losses due to weather, climate, and water-related disasters have soared to an eye-watering $4.3 trillion. The death toll, though falling, remains tragically high with over 2 million people having lost their lives to these extreme events. As the planet continues to heat up, with 2024 marked as the hottest year on record, the financial toll of these disasters is only set to rise.

The problem isn’t just the scale of these losses, but the lack of adequate systems in place to mitigate them. Early warning systems, which are proven to reduce the economic and human costs of extreme weather, remain inaccessible to nearly half of the world’s countries. While the technology exists, the disparity in access to life-saving forecasting and warning systems is leaving millions vulnerable to storms, floods, wildfires, and droughts that could otherwise be anticipated.

When Green Peace Brazil activists unfurled a banner measuring 45 by 18 meters in an arid landscape, where one of the largest rivers in the Amazon basin used to flow, to denounce the impacts of the climate crisis in the Amazon and how it affects the lives of local communities that depend entirely on the river for their way of life on 20/09/2024. Image credit: Nilmar Lage / Greenpeace

“We are more than just weather forecasters,” said Celeste Saulo, Secretary-General of the World Meteorological Organization (WMO), which recently marked its 75th anniversary. “WMO makes the world safer, more secure, and prosperous.” Yet, despite decades of advancements in forecasting, gaps remain. Countries with limited resources struggle to set up the infrastructure needed to protect their populations, which often face the brunt of the most severe consequences of climate change.

In his message for World Meteorological Day, UN Secretary-General António Guterres highlighted the stark reality: “It is disgraceful that, in a digital age, lives and livelihoods are being lost because people have no access to effective early warning systems.” The warning from Guterres couldn’t be clearer: early warning systems are not luxuries. They are necessities—and crucial investments that offer nearly a ten-fold return.

The data is irrefutable. From satellite feeds to ocean buoys, billions of measurements are collected daily from across the globe. Yet, in many parts of the world, these critical insights into climate and weather patterns do not reach those who need them most. Gaps in observation networks and forecasting accuracy continue to undermine the ability of vulnerable communities to prepare for and respond to disasters.

WMO’s Early Warnings for All initiative seeks to address this crisis by ensuring that by 2027, every country, no matter how economically or technologically challenged, has access to effective early warning systems. As of 2024, 108 countries report some capacity for multi-hazard early warning systems—more than double the number from 2015. However, this progress is not fast enough to prevent future calamities. The economic costs of inaction are simply too high.

Key Data Points
$4.3 Trillion – Total global economic losses from weather, climate, and water-related hazards between 1970 and 2021.
2 Million+ – Number of lives lost to weather, climate, and water-related disasters between 1970 and 2021.
108 Countries – The number of countries with some capacity for multi-hazard early warning systems as of 2024, more than double the 52 countries in 2015.
$1 Investment in Early Warning Systems – The potential return on investment is nearly ten times the cost, according to UN Secretary-General António Guterres.
2024 – The year marked as the hottest year on record.
75 Years – The number of years the World Meteorological Organization (WMO) has been a UN specialized agency, working to improve global resilience to climate change.
Source: WMO

Between 1970 and 2021, climate-related disasters cost the global economy $4.3 trillion—a figure that continues to climb year after year. Without early warnings, this loss is compounded by the inability of countries to adapt or respond in time, resulting in more widespread destruction and human suffering. But for every dollar invested in early warning systems, the potential savings and lives saved are immense.

“The staff of National Meteorological and Hydrological Services are like doctors and nurses – working 24/7 to safeguard and promote public well-being,” Saulo emphasized. These services are crucial for monitoring climate and weather changes and issuing warnings, but much of the world’s population still lacks access to these vital resources.

WMO’s call to action on World Meteorological Day, though after the fact, remains urgent: “We need high-level political support, increased technology sharing, greater collaboration between governments and businesses, and a major effort to scale-up finance,” said Guterres. He emphasized the importance of boosting the lending capacity of multilateral development banks to ensure that resources reach the nations most at risk.

As the planet faces increasingly volatile climate conditions, the economic costs of inaction are mounting. Without the necessary investment in early warning systems, millions will continue to suffer, and the global economy will pay the price. The time to act is now. Climate change may be an overwhelming challenge, but with the right systems in place, we can mitigate the damage, save lives, and protect our collective future.

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Global Renewable Energy Future Hinges on Climate-Informed Planning, New Report Reveals

The findings underscore the urgent need for integrating climate data into energy strategies to meet the ambitious renewable energy and energy efficiency goals set for 2030

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Image credit: WMO

As the global transition to renewable energy gathers pace, accurate weather and climate insights are becoming crucial for ensuring the reliability and resilience of energy systems, as well as for effectively planning electricity demand and supplies. A new report, 2023 Year in Review: Climate-driven Global Renewable Energy Potential Resources and Energy Demand, highlights the essential role of climate-informed and diversified energy solutions to meet global targets for renewable energy expansion.

The report, a collaborative effort from the World Meteorological Organization (WMO), the International Renewable Energy Agency (IRENA), and the Copernicus Climate Change Service (C3S), which is operated by the European Centre for Medium-Range Weather Forecasts (ECMWF), underscores the need for a comprehensive approach in planning renewable energy systems.

“Whether it is solar power generation in drier-than-average conditions, wind power generation in regions experiencing shifts from La Niña to El Niño conditions, or hydropower generation in the face of fluctuating precipitation patterns, climate has a direct bearing on both electricity supply and demand. Such challenges also present unprecedented opportunities: the integration of climate insights into energy planning yields more reliable power generation, helps anticipate seasonal peaks in demand and strengthens the adaptability of future infrastructure development,” said WMO Secretary-General Celeste Saulo, IRENA Director-General Francesco Camera, and C3S Director Carlo Buontempo in a joint foreword.

The report focuses on the year 2023, which marked a transition from La Niña to El Niño conditions, significantly affecting climatic variables critical to the energy sector, including wind speed, solar radiation, precipitation, and temperature. Notably, 2023 was the warmest year on record until it was surpassed by 2024.

This report is being released ahead of the Sustainable Energy for All Global Forum, set to take place in Barbados on 12-13 March 2025.

According to a press statement issued by the organizations involved, the findings underscore the urgent need for integrating climate data into energy strategies to meet the ambitious renewable energy and energy efficiency goals set for 2030.

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