Strengthened cyber security standards approved

China Power Rationing disrupts the solar supply chain as coal shortages, price controls, and dual-control emissions policy curb electricity, squeezing polysilicon, aluminum, and module production and raising equipment costs amid surging post-Covid industrial demand.

Key Points

China's electricity curbs from coal shortages, price caps, and emissions targets disrupt solar output and materials.

✅ Polysilicon and aluminum output cut by power rationing

✅ Coal price spikes and power price caps squeeze generators

✅ Dual-control emissions policy triggers provincial curbs

The solar manufacturing supply chain is among the industries being affected by a combination of soaring power demand, coal shortages, and carbon emission reduction measures which have seen widespread power cuts in China.

In Yunnan province, in southwest China, producers of the silicon metal which feeds polysilicon have been operating at 10% of the output they achieved in August. They are expected to continue to do so for the rest of the year as provincial authorities try to control electricity demand with a measure that is also affecting the phosphorus industry.

Fellow solar supply chain members from the aluminum industry in Guangxi province, in the south, have been forced to operate just two days per week, alongside peers in the concrete, steel, lime, and ceramics segments. Manufacturers in neighboring Guangdong have access to normal power supplies only on Fridays and Saturdays with electricity rationed to a 15% grid security load for the rest of the time.

pv magazine USA reported that a Tier 1 solar module manufacturer warned customers in an email that energy shortages in China have forced it to reduce or stop production at its Chinese manufacturing sites. The company warned the event will also affect output from its downstream cell and module production facilities in Southeast Asia.

The memo said that in order to recover from the effects of the “potential Force Majeure event,” it may delay or stop equipment delivery or seek to renegotiate contracts to pass through higher prices.

Raw material sourcing
With reports of drastic power shortages emerging from China in recent days, the country has actually been experiencing problems since late June, and similar pressures have seen India ration coal supplies this year, but rationing is not unusual during the peak summer hours.

What has changed this time is that the outages have continued and prompted rationing measures across 19 of the nation’s provinces for the rest of the year. The problems have been caused by a combination of rising post-Covid electricity demand at a time when the politically-motivated ban on imports of Australian coal has tightened supply; and the manner in which Beijing controls power prices, with the situation further exacerbated by carbon emissions reduction policy.

Demand
Electricity demand from industry, underscoring China’s electricity appetite, was 13.5 percentage points higher in the first eight months of the year than in the same period of 2020, at 3,585 TWh. That reflected a 13.8% year-on-year rise in total consumption, following earlier power demand drops when coronavirus shuttered plants, to 5.47 PWh, according to data from state energy industry trade body the China Electricity Council.

Figures produced by the China General Administration of Customs tell the same story: a rebound driven by the global recovery from the pandemic, as global power demand surges above pre-pandemic levels, with China recording import and export trade worth RMB2.48 trillion ($385 billion) in January-to-August. That was up 23.7% on the same period of last year and 22.8% higher than in the first eight months of 2019.

With Beijing having enforced an unofficial ban on imports of Australian coal for the last year or so – as the result of an ongoing diplomatic spat with Australia – rising demand for coal (which provided around 73% of Chinese electricity in the first half of the year) has further raised prices for the fossil fuel.

The problem for Chinese coal-fired power generators is that Beijing maintains strict controls on the price of electricity. As a result, input costs cannot be passed on to consumers. The mismatch between a liberalized coal market and centrally controlled end-user prices is illustrated by the current situation in Guangdong. There, a coal price of RMB1,560 per ton ($242) has pushed the cost of coal-fired electricity up to RMB0.472 per kilowatt-hour ($0.073). With coal power companies facing an electricity price ceiling of around RMB0.463/kWh ($0.071), generators are losing around RMB0.12 for every kilowatt-hour they generate. In that situation, rationing electricity supplies is an obvious remedy.

The crisis has been worsened by the introduction of China’s “dual control” energy policy, which aims to help meet President Xi Jinping’s climate change pledge of hitting peak carbon emissions this decade and a net zero economy by 2060, and to reduce coal power production over time. Dual control refers to attempts to wind down greenhouse gas emissions at both a national level and in more local areas, such as provinces and cities.

Red status
With the finer details of the carbon reduction policy yet to be ironed out, government departments and provincial and city authorities have started to set their own emission-reduction targets. In mid-August, state planning body the China National Development and Reform Commission (NDRC) published a table of the energy control situation across the nation. With nine provinces marked red for their energy consumption, and a further 10 highlighted as yellow, officials received another motivation to introduce power rationing.

China’s solar industry is being impacted by coal shortages for electric power generation. In this 2014 photo, a thermal generating plant’s cooling towers loom over a street in Henan Province.
Image: flickr/V.T. Polywoda

The current approach of rolling blackouts seems unlikely to be a sustainable solution, as surging electricity demand strains power systems worldwide, given the damage it could inflict on industry and the resentment it would cause in parts of the nation already preparing for winter.

The choice facing China’s policymakers is whether to ramp up coal supplies to force prices down by using decommissioned domestic supplies and halting the ban on Australian imports, or to raise electricity prices to prompt generators to get the lights back on. While the drawbacks of raising household electricity bills seem obvious, the first approach of using more coal could endanger the nation’s climate change commitments on the even of the COP26 meeting in Glasgow, Scotland, in November. Sources close to the NDRC have suggested the electricity price may be set to rise soon.

GDP
What is clear is the effect the energy crisis is having on the Chinese economy and on the solar supply chain. Leading up to a  national day holiday in China, the coal price in northern China rose to around RMB2,000 per ton ($310), three times higher than at the beginning of the year.

Investment bank China International Capital Corp. blamed the dual control emission reduction policy for the electricity shortages. It predicted a 0.1-0.15 percentage point impact on economic growth in the last quarter of 2021.  Morgan Stanley has put that figure at 1% in the current quarter, if industrial output restrictions continue. And Japan’s Nomura Securities revised down its annual forecast on Chinese growth from 8.2% to 7.7%. It now expects GDP gains in the third and fourth quarters to cool from 5.1% to 4.7%, and from 4.4% to 3%, respectively.

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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London Gateway All-Electric Berth enables shore power and cold ironing for container ships, cutting emissions, improving efficiency, and supporting green logistics, IMO targets, and UK net-zero goals through grid connection and port electrification.

Key Points

It is a shore power berth supplying electricity to ships, cutting emissions and costs while boosting port efficiency.

✅ Grid connection enables cold ironing for container ships

✅ Supports IMO decarbonization and UK net-zero goals

✅ Stabilizes energy costs versus marine fuels

London Gateway, one of the UK’s premier deep-water ports, has unveiled the world’s first all-electric berth, marking a significant milestone in sustainable port operations. This innovative development aims to enhance the port's capacity while reducing its environmental impact. The all-electric berth, which powers vessels using electricity, similar to emerging offshore vessel charging solutions, instead of traditional fuel sources, is expected to greatly improve operational efficiency and cut emissions from ships docking at the port.

The launch of this electric berth is part of London Gateway’s broader strategy to become a leader in green logistics, with parallels in electric truck deployments at California ports that support port decarbonization, aligning with the UK’s ambitious climate goals. By transitioning to electric power, the port reduces reliance on fossil fuels and significantly lowers carbon emissions, contributing to a cleaner environment and supporting the maritime industry’s transition towards sustainability.

The berth will provide cleaner power to container ships, enabling them to connect to the grid while docked, similar to electric ships on the B.C. coast, rather than running their engines, which traditionally contribute to pollution. This innovation supports the UK's broader push for decarbonizing its transportation and logistics sector, especially as the global shipping industry faces increasing pressure to reduce its carbon footprint.

The new infrastructure is expected to increase London Gateway’s operational capacity, allowing for a higher volume of traffic while simultaneously addressing the environmental challenges posed by growing port activities. By integrating advanced technologies like the all-electric berth, and advances such as battery-electric high-speed ferries, the port can handle more shipments without expanding its reliance on traditional fuel-based power sources. This could lead to increased cargo throughput, as shipping lines are incentivized to use a greener, more efficient port for their operations.

The project aligns with broader global trends, including electric flying ferries in Berlin, as ports and shipping companies seek to meet international standards set by the International Maritime Organization (IMO) and other regulatory bodies. The IMO has set aggressive targets for reducing greenhouse gas emissions from shipping, and the UK has pledged to be net-zero by 2050, with the shipping sector playing a crucial role in that transition.

In addition to its environmental benefits, the electric berth also helps reduce the operational costs for shipping lines, as seen with electric ferries scaling in B.C. programs across the sector. Traditional fuel costs can be volatile, whereas electric power offers a more stable and predictable expense. This cost stability could make London Gateway an even more attractive port for international shipping companies, further boosting its competitive position in the global market.

Furthermore, the project is expected to have broader economic benefits, generating jobs and fostering innovation, such as hydrogen crane projects in Vancouver, within the green technology and maritime sectors. London Gateway has already made significant strides in sustainable practices, including a focus on automated systems and energy-efficient logistics solutions. The introduction of the all-electric berth is the latest in a series of initiatives aimed at strengthening the port’s sustainability credentials.

This groundbreaking development sets a precedent for other global ports to adopt similar sustainable technologies. As more ports embrace electrification and other green solutions, the shipping industry could experience a dramatic reduction in its environmental footprint. This shift could have a cascading effect on the wider logistics and supply chain industries, leading to cleaner and more efficient global trade.

London Gateway’s all-electric berth represents a forward-thinking approach to the challenges of climate change and the need for sustainability in the maritime sector. With its ability to reduce emissions, improve port capacity, and enhance operational efficiency, this pioneering project is poised to reshape the future of global shipping. As more ports around the world follow suit, the potential for widespread environmental impact in the shipping industry is significant, providing hope for a greener future in international trade.

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EU-UK Coal Power Decline 2020 underscores Covid-19's impact on power generation, with renewables rising, carbon emissions falling, and electricity demand down, revealing resilient grids and accelerating the energy transition across European markets.

Key Points

Covid-19's impact on EU-UK power: coal down, renewables up, lower emissions intensity and reduced electricity demand.

✅ Coal generation down 25.5% EU-UK; 29% in March 10-April 10 period

✅ Renewables share up to 46%; grids remained stable and flexible

✅ Electricity demand fell 10%; emissions intensity dropped 19.5%

Coal based power generation has fallen by over a quarter (25.5%) across the European Union (EU) and United Kingdom (UK) in the first three months of 2020, compared to 2019, as a result of the response to Covid-19, with renewable energy reaching a 43% share, as wind and solar outpaced gas across the EU, according to new analysis by the technology group Wärtsilä.

The impact is even more stark in the last month, with coal generation collapsing by almost one third (29%) between March 10 and April 10 compared to the same period in 2019, making up only 12% of total EU and UK generation. By contrast, renewables delivered almost half (46%) of generation – an increase of 8% compared to 2019.

In total, demand for electricity across the continent is down by one tenth (10%), mirroring global demand declines of around 15%, due to measures taken to combat Covid-19, the biggest drop in demand since the Second World War. The result is an unprecedented fall in carbon emissions from the power sector, with emission intensity falling by 19.5% compared to the same March 10-April 10 period last year. The analysis comes from the Wärtsilä Energy Transition Lab, a new free-to-use data platform developed by Wärtsilä to help the industry, policy makers and the public understand the impact of Covid-19 on European electricity markets and analyse what this means for the future design and operation of its energy systems. The goal is to help accelerate the transition to 100% renewables.

Björn Ullbro, Vice President for Europe & Africa at Wärtsilä Energy Business, said: “The impact of the Covid-19 crisis on European energy systems is extraordinary. We are seeing levels of renewable electricity that some people believed would cause systems to collapse, yet they haven’t – in fact they are coping well. The question is, what does this mean for the future?”

“What we can see today is how our energy systems cope with much more renewable power – knowledge that will be invaluable, aligning with IAEA low-carbon insights, to accelerate the energy transition. We are making this new platform freely available to support the energy industry to adapt and use the momentum this tragic crisis has created to deliver a better, cleaner energy system, faster.”

The figures mark a dramatic shift in Europe’s energy mix – one that was not anticipated to occur until the end of the decade. The impact of the Covid-19 crisis has effectively accelerated the energy transition in the short-term, even as later lockdowns saw power demand hold firm in parts of Europe, providing a unique opportunity to see how energy systems function with far higher levels of renewables.

Ullbro added: “Electricity demand across Europe has fallen due to the lockdown measures applied by governments to stop the spread of the coronavirus. However, total renewable generation has remained at pre-crisis levels with low electricity prices, combined with renewables-friendly policy measures, crowding out gas and fossil fuel power generation, especially coal. This sets the scene for the next decade of the energy transition.”

These Europe-wide impacts are mirrored at a national level, for example:

• In the UK, renewables now have a 43% share of generation, following a stall in low-carbon progress in 2019 (up 10% on the same March 10-April 10 period in 2019) with coal power down 35% and gas down 24%.
• Germany has seen the share of renewables reach 60% (up 12%) and coal generation fall 44%, resulting in a fall in the carbon intensity of its electricity of over 30%.
• Spain currently has 49% renewables with coal power down by 41%.
• Italy has seen the steepest fall in demand, down 21% so far.

An industry first, the Wärtsilä Energy Transition Lab has been specifically developed as an open-data platform for the energy industry to understand the impact of Covid-19 and help accelerate the energy transition. The tool provides detailed data on electricity generation, demand and pricing for all 27 EU countries and the UK, combining Entso-E data in a single, easy to use platform. It will also allow users to model how systems could operate in future with higher renewables, as global power demand surpasses pre-pandemic levels, helping pinpoint problem areas and highlight where to focus policy and investment.

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Canadian Industrial IoT Cybersecurity Standards aim to unify device security for utilities, smart grids, SCADA, and OT systems, aligning with NERC CIP, enabling certification, trust marks, compliance testing, and safer energy sector deployments.

Key Points

National standards to secure industrial IoT for utilities and grids, enabling certification and NERC CIP alignment.

✅ Aligns with NERC CIP and NIST frameworks for energy sector security

✅ Defines certification, testing tools, and a trusted device repository

✅ Enhances OT, SCADA, and smart grid resilience against cyber threats

The Canadian energy sector has been buying Internet-connected sensors for monitoring a range of activities in generating plants, distribution networks facing harsh weather risks and home smart meters for several years. However, so far industrial IoT device makers have been creating their own security standards for devices, leaving energy producers and utilities at their mercy.

The industry hopes to change that by creating national cybersecurity standards for industrial IoT devices, with the goal of improving its ability to predict, prevent, respond to and recover from cyber threats, such as emerging ransomware attacks across the grid.

To help, the federal government today announced an $818,000 grant support a CIO Strategy Council project oversee the setting of standards.

In an interview council executive director Keith Jansa said the money will help a three-year effort that will include holding a set of cross-country meetings with industry, government, academics and interest groups to create the standards, tools to be able to test devices against the standards and the development of product repository of IoT safe devices companies can consult before making purchases.

“The challenge is there are a number of these devices that will be coming online over the next few years,” Jansa said. “IoT devices are designed for convenience and not for security, so how do you ensure that a technology an electricity utility secures is in fact safeguarded against cyber threats? Currently, there is no associated trust mark or certification that gives confidence associated with these devices.”

He also said the council will work with the North American Electric Reliability Corporation (NERC), which sets North American-wide utility safety procedural standards and informs efforts on protecting the power grid across jurisdictions. The industrial IoT standards will be product standards.

According to Robert Wong, vice-president and CIO of Toronto Hydro, all the big provincial utilities are subject to adhering to NERC CIP standards which have requirements for both cyber and physical security. Ontario is different from most provinces in that it has local distribution companies — like Toronto Hydro — which buy electricity in bulk and resell it to customers.  These LDCs don’t own or operate critical infrastructure and therefore don’t have to follow the NERC CIP standards.

Regional reforms, such as regulatory changes in Atlantic Canada, aim to bring greener power options to the grid.

Electricity is considered around the world as one of a country’s critical national infrastructure. Threats to the grid can be used for ransom or by a country for political pressure. Ukraine had its power network knocked offline in 2015 and 2016 by what were believed to be Russian-linked attackers operating against utilities.

All the big provincial utilities operate “critical infrastructure” and are subject to adhering to NERC CIP (critical infrastructure protection) standards, which have requirements for both cyber and physical security, as similar compromises at U.S. electric utilities have highlighted recently.  There are audited on a regular basis for compliance and can face hefty fines if they fail to meet the requirements.  The LDCs in Ontario don’t own or operate “critical infrastructure” and therefore are not required to adopt NERC CIP standards (at least for now).

The CIO Strategy Council is a forum for chief information officers that is helping set standards in a number of areas. In January it announced a partnership with the Internet Society’s Canada Chapter to create standards of practice for IoT security for consumer devices. As part of the federal government’s updated national cybersecurity strategy it is also developing a national cybersecurity standard for small and medium-sized businesses. That strategy would allow SMBs to advertise to customers that they meet minimum security requirements.

“The security of Canadians and our critical infrastructure is paramount,” federal minister of natural resources Seamus O’Regan said in a statement with today’s announcement. “Cyber attacks are becoming more common and dangerous. That’s why we are supporting this innovative project to protect the Canadian electricity sector.”

The announcement was welcomed by Robert Wong, Toronto Hydro’s vice-president and CIO. “Any additional investment towards strengthening the safeguards against cyberattacks to Canada’s critical infrastructure is definitely good news.  From the perspective of the electricity sector, the convergence of IT and OT (operational technology) has been happening for some time now as the traditional electricity grid has been transforming into a Smart Grid with the introduction of smart meters, SCADA systems, electronic sensors and monitors, smart relays, intelligent automated switching capabilities, distributed energy resources, and storage technologies (batteries, flywheels, compressed air, etc.).

“In my experience, many OT device and system manufacturers and vendors are still lagging the traditional IT vendors in incorporating Security by Design philosophies and effective security features into their products.  This, in turn, creates greater risks and challenges for utilities to protecting their critical infrastructures and ensuring a reliable supply of electricity to its customers.”

The Ontario Energy Board, which regulates the industry in the province, has led an initiative for all utilities to adopt the National Institute of Standards and Technology (NIST) Cybersecurity Framework, along with the ES-C2M2 maturity and Privacy By Design models, he noted.  Toronto Hydro has been managing its cybersecurity practice in adherence to these standards, as the city addresses growing electricity needs as well, he said.

“Other jurisdictions, such as Israel, have invested heavily on a national level in developing its cybersecurity capabilities and are seen as global leaders.  I am confident that given the availability of talent, capabilities and resources in Canada (especially around the GTA) if we get strong support and leadership at a federal level we can also emerge as a leader in this area as well.”

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Thermoelectric Materials convert waste heat into electricity via the Seebeck effect; quantum computations and semiconductors accelerate discovery, enabling clean energy, higher efficiency, and scalable heat-to-power conversion from abundant, non-toxic, cost-effective compounds.

Key Points

Thermoelectric materials turn waste heat into electricity via the Seebeck effect, improving energy efficiency.

✅ Convert waste heat to electricity via the Seebeck effect

✅ Quantum computations rapidly identify high-performance candidates

✅ Target efficient, low-thermal-conductivity, non-toxic, abundant compounds

The need to transition to clean energy is apparent, urgent and inescapable. We must limit Earth’s rising temperature to within 1.5 C to avoid the worst effects of climate change — an especially daunting challenge in the face of the steadily increasing global demand for energy and the need for reliable clean power, with concepts that can generate electricity at night now being explored worldwide.

Part of the answer is using energy more efficiently. More than 72 per cent of all energy produced worldwide is lost in the form of heat, and advances in turning thermal energy into electricity could recover some of it. For example, the engine in a car uses only about 30 per cent of the gasoline it burns to move the car. The remainder is dissipated as heat.

Recovering even a tiny fraction of that lost energy would have a tremendous impact on climate change. Thermoelectric materials, which convert wasted heat into useful electricity, can help, especially as researchers pursue low-cost heat-to-electricity materials for scalable deployment.

Until recently, the identification of these materials had been slow. My colleagues and I have used quantum computations — a computer-based modelling approach to predict materials’ properties — to speed up that process and identify more than 500 thermoelectric materials that could convert excess heat to electricity, and help improve energy efficiency.

Making great strides towards broad applications
The transformation of heat into electrical energy by thermoelectric materials is based on the “Seebeck effect.” In 1826, German physicist Thomas Johann Seebeck observed that exposing the ends of joined pieces of dissimilar metals to different temperatures generated a magnetic field, which was later recognized to be caused by an electric current.

Shortly after his discovery, metallic thermoelectric generators were fabricated to convert heat from gas burners into an electric current. But, as it turned out, metals exhibit only a low Seebeck effect — they are not very efficient at converting heat into electricity.

In 1929, the Russian scientist Abraham Ioffe revolutionized the field of thermoelectricity. He observed that semiconductors — materials whose ability to conduct electricity falls between that of metals (like copper) and insulators (like glass) — exhibit a significantly higher Seebeck effect than metals, boosting thermoelectric efficiency 40-fold, from 0.1 per cent to four per cent.

This discovery led to the development of the first widely used thermoelectric generator, the Russian lamp — a kerosene lamp that heated a thermoelectric material to power a radio.

Are we there yet?
Today, thermoelectric applications range from energy generation in space probes to cooling devices in portable refrigerators, and include emerging thin-film waste-heat harvesters for electronics as well. For example, space explorations are powered by radioisotope thermoelectric generators, converting the heat from naturally decaying plutonium into electricity. In the movie The Martian, for example, a box of plutonium saved the life of the character played by Matt Damon, by keeping him warm on Mars.

In the 2015 film, The Martian, astronaut Mark Watney (Matt Damon) digs up a buried thermoelectric generator to use the power source as a heater.

Despite this vast diversity of applications, wide-scale commercialization of thermoelectric materials is still limited by their low efficiency.

What’s holding them back? Two key factors must be considered: the conductive properties of the materials, and their ability to maintain a temperature difference, as seen in nighttime electricity from cold concepts, which makes it possible to generate electricity.

The best thermoelectric material would have the electronic properties of semiconductors and the poor heat conduction of glass. But this unique combination of properties is not found in naturally occurring materials. We have to engineer them, drawing on advances such as carbon nanotube energy harvesters to guide design choices.

Searching for a needle in a haystack
In the past decade, new strategies to engineer thermoelectric materials have emerged due to an enhanced understanding of their underlying physics. In a recent study in Nature Materials, researchers from Seoul National University, Aachen University and Northwestern University reported they had engineered a material called tin selenide with the highest thermoelectric performance to date, nearly twice that of 20 years ago. But it took them nearly a decade to optimize it.

To speed up the discovery process, my colleagues and I have used quantum calculations to search for new thermoelectric candidates with high efficiencies. We searched a database containing thousands of materials to look for those that would have high electronic qualities and low levels of heat conduction, based on their chemical and physical properties. These insights helped us find the best materials to synthesize and test, and calculate their thermoelectric efficiency.

We are almost at the point where thermoelectric materials can be widely applied, but first we need to develop much more efficient materials. With so many possibilities and variables, finding the way forward is like searching for a tiny needle in an enormous haystack.

Just as a metal detector can zero in on a needle in a haystack, quantum computations can accelerate the discovery of efficient thermoelectric materials. Such calculations can accurately predict electron and heat conduction (including the Seebeck effect) for thousands of materials and unveil the previously hidden and highly complex interactions between those properties, which can influence a material’s efficiency.

Large-scale applications will require themoelectric materials that are inexpensive, non-toxic and abundant. Lead and tellurium are found in today’s thermoelectric materials, but their cost and negative environmental impact make them good targets for replacement.

Quantum calculations can be applied in a way to search for specific sets of materials using parameters such as scarcity, cost and efficiency, and insights can even inform exploratory devices that generate electricity out of thin air in parallel fields. Although those calculations can reveal optimum thermoelectric materials, synthesizing the materials with the desired properties remains a challenge.

A multi-institutional effort involving government-run laboratories and universities in the United States, Canada and Europe has revealed more than 500 previously unexplored materials with high predicted thermoelectric efficiency. My colleagues and I are currently investigating the thermoelectric performance of those materials in experiments, and have already discovered new sources of high thermoelectric efficiency.

Those initial results strongly suggest that further quantum computations can pinpoint the most efficient combinations of materials to make clean energy from wasted heat and the avert the catastrophe that looms over our planet.

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