Indian companies scouting for overseas coal acquisitions

U.S. Solar Generation 2017 surpassed biomass, delivering 77 million MWh versus 64 million MWh, trailing only hydro and wind; driven by PV expansion, capacity additions, and utility-scale and small-scale growth, per EIA.

Key Points

It was the year U.S. solar electricity exceeded biomass, hitting 77 million MWh and trailing only hydro and wind.

✅ Solar: 77 million MWh; Biomass: 64 million MWh (2017, EIA)

✅ PV expansion; late-year capacity additions dampen annual generation

✅ Hydro: 300 and wind: 254 million MWh; solar thermal ~3 million MWh

Electricity generation from solar resources in the United States reached 77 million megawatthours (MWh) in 2017, surpassing for the first time annual generation from biomass resources, which generated 64 million MWh in 2017. Among renewable sources, only hydro and wind generated more electricity in 2017, at 300 million MWh and 254 million MWh, respectively. Biomass generating capacity has remained relatively unchanged in recent years, while solar generating capacity has consistently grown.

Annual growth in solar generation often lags annual capacity additions because generating capacity tends to be added late in the year. For example, in 2016, 29% of total utility-scale solar generating capacity additions occurred in December, leaving few days for an installed project to contribute to total annual generation despite being counted in annual generating capacity additions. In 2017, December solar additions accounted for 21% of the annual total. Overall, solar technologies operate at lower annual capacity factors and experience more seasonal variation than biomass technologies.

Biomass electricity generation comes from multiple fuel sources, such as wood solids (68% of total biomass electricity generation in 2017), landfill gas (17%), municipal solid waste (11%), and other biogenic and nonbiogenic materials (4%).These shares of biomass generation have remained relatively constant in recent years, even as renewables' rise in 2020 across the grid.

Solar can be divided into three types: solar thermal, which converts sunlight to steam to produce power; large-scale solar photovoltaic (PV), which uses PV cells to directly produce electricity from sunlight; and small-scale solar, which are PV installations of 1 megawatt or smaller. Generation from solar thermal sources has remained relatively flat in recent years, at about 3 million MWh, even as renewables surpassed coal in 2022 nationwide. The most recent addition of solar thermal capacity was the Crescent Dunes Solar Energy plant installed in Nevada in 2015, and currently no solar thermal generators are under construction in the United States.

Solar photovoltaic systems, however, have consistently grown in recent years, as indicated by 2022 U.S. solar growth metrics across the sector. In 2014, large-scale solar PV systems generated 15 million MWh, and small-scale PV systems generated 11 million MWh. By 2017, annual electricity from those sources had increased to 50 million MWh and 24 million MWh, respectively, with projections that solar could reach 20% by 2050 in the U.S. mix. By the end of 2018, EIA expects an additional 5,067 MW of large-scale PV to come online, according to EIA’s Preliminary Monthly Electric Generator Inventory, with solar and storage momentum expected to accelerate. Information about planned small-scale PV systems (one megawatt and below) is not collected in that survey.

Related News

• Electricity Forum News

• Renewable Energy News

Philippines Nuclear Energy Policy aims to add nuclear power to the energy mix via executive order, meeting rising electricity demand with 24/7 baseload while balancing safety, renewables, and imported fuel dependence in the Philippines.

Key Points

A government plan to include nuclear power in the energy mix to meet demand, ensure baseload, and uphold safety.

✅ Executive order proposed by Energy Secretary Alfonso Cusi

✅ Targets 24/7 baseload, rising electricity demand

✅ Balances safety, renewables, and energy security

Phillipines Presidential spokesman Salvador Panelo said Energy Secretary Alfonso Cusi made the proposal during last Monday's Cabinet meeting in Malacaaang. "Secretary Cusi likewise sought the approval of the issuance of a proposed executive order for the inclusion of nuclear power, including next-gen nuclear options in the country's energy mix as the Philippines is expected to the rapid growth in electricity and electricity demand, in which, 24/7 power is essential and necessary," Panelo said in a statement.

Panelo said Duterte would study the energy chief's proposal, as China's nuclear development underscores regional momentum. In the 1960s until the mid 80s, the late president Ferdinand Marcos adopted a nuclear energy program and built the Bataan Nuclear Plant.

The nuclear plant was mothballed after Corazon Aquino became president in 1986. There have been calls to revive the nuclear plant, saying it would help address the Philippines' energy supply issues. Some groups, however, said such move would be expensive and would endanger the lives of people living near the facility, citing Three Mile Island as a cautionary example.

Panelo said proposals to revive the Bataan Nuclear Plant were not discussed during the Cabinet meeting, even as debates like California's renewable classification continue to shape perceptions. Indigenous energy sources natural gas, hydro, coal, oil, geothermal, wind, solar, biomassand ethanol constitute more than half or 59.6%of the Philippines' energy mix.

Imported oil make up 31.7% while imported coal, reflecting the country's coal dependency, contribute about 8.7%.

Imported ethanol make up 0.1% of the energy mix, even as interest in atomic energy rises globally.

In 2018, Duterte said safety should be the priority when deciding whether to tap nuclear energy for the country's power needs, as countries like India's nuclear restart proceed with their own safeguards.

Related News

• Electricity Forum News

• Power Generation News

France Diesel Prices at Pre-Ukraine Levels reflect energy market stabilization as supply chains adapt and subsidies help; easing fuel costs, inflation, and logistics burdens for households, transport firms, and the wider economy.

Key Points

They mark normalization as oil supply stabilizes, easing fuel costs and logistics expenses for consumers and firms.

✅ Lower transport and logistics operating costs

✅ Softer inflation and improved household budgets

✅ Market stabilization amid adjusted oil supply chains

In a significant development for French consumers and businesses alike, diesel prices in France have recently fallen back to levels last seen before the Ukrainian conflict began, mirroring European gas prices returning to pre-war levels across the region. This drop comes as a relief to many who have been grappling with volatile energy costs and their impact on the cost of living and business operations. The return to lower diesel prices is a noteworthy shift in the energy landscape, with implications for the French economy, transportation sector, and broader European market.

Context of Rising Diesel Prices

The onset of the Ukrainian conflict in early 2022 triggered a dramatic increase in global energy prices, including diesel. The conflict's disruption of supply chains, coupled with sanctions on Russian oil and gas exports, contributed to a steep rise in fuel prices across Europe, prompting the EU to weigh emergency electricity price measures to shield consumers. For France, this meant that diesel prices soared to unprecedented levels, putting significant pressure on consumers and businesses that rely heavily on diesel for transportation and logistics.

The impact was felt across various sectors. Transportation companies faced higher operational costs, which were often passed down to consumers in the form of increased prices for goods and services. Additionally, higher fuel costs contributed to broader inflationary pressures, with EU inflation hitting lower-income households hardest, affecting household budgets and overall economic stability.

Recent Price Trends and Market Adjustments

The recent decline in diesel prices in France is a welcome reversal from the peak levels experienced during the height of the conflict. Several factors have contributed to this price reduction. Firstly, there has been a stabilization of global oil markets as geopolitical tensions have somewhat eased and supply chains have adjusted to new realities. The gradual return of Russian oil to global markets, albeit under complex sanctions and trading arrangements, has also played a role in moderating prices.

Moreover, France's strategic reserves and diversified energy sources have helped cushion the impact of global price fluctuations. The French government has also implemented measures to stabilize energy prices, including subsidies and tax adjustments, and a new electricity pricing scheme to satisfy EU concerns, which have helped alleviate some of the financial pressure on consumers.

Implications for the French Economy

The return to pre-conflict diesel price levels brings several positive implications for the French economy. For consumers, the decrease in fuel prices means lower transportation costs, which can ease inflationary pressures and improve disposable income, and, alongside the EDF electricity price deal, reduce overall utility burdens for households. This is particularly beneficial for households with long commutes or those relying on diesel-powered vehicles.

For businesses, especially those in the transportation and logistics sectors, the drop in diesel prices translates into reduced operational costs. This can help lower the cost of goods and services, potentially leading to lower prices for consumers and improved profitability for businesses. In a broader sense, stabilized fuel prices can contribute to overall economic stability and growth, as lower energy costs can support consumer spending and business investment.

Environmental and Policy Considerations

While the decrease in diesel prices is advantageous in the short term, it also raises questions about long-term energy policy and environmental impact, with the recent crisis framed as a wake-up call for Europe to accelerate the shift away from fossil fuels. Diesel, as a fossil fuel, continues to pose environmental challenges, including greenhouse gas emissions and air pollution. The drop in prices might inadvertently discourage investments in cleaner energy alternatives, such as electric and hybrid vehicles, which are crucial for achieving long-term sustainability goals.

In response, there is a growing call for continued investment in renewable energy and energy efficiency measures. France has been actively pursuing policies to reduce its reliance on fossil fuels and increase the adoption of cleaner technologies, amid ongoing EU electricity reform debates with Germany. The government’s support for green energy initiatives and incentives for low-emission vehicles will be essential in balancing short-term benefits with long-term environmental objectives.

Conclusion

The recent return of French diesel prices to pre-Ukrainian conflict levels marks a significant shift in the energy market, offering relief to both consumers and businesses. While this decline brings immediate financial benefits and supports economic stability, it also underscores the ongoing need for a strategic approach to energy policy and environmental sustainability. As France navigates the evolving energy landscape, the focus will need to remain on fostering a transition towards cleaner energy sources while managing the economic and environmental impacts of fuel price fluctuations.

Related News

• Electricity Forum News

• Energy Policy News

Latvia Astravets electricity imports weigh AST purchases from the Belarusian nuclear plant, impacting the Baltic grid, Lithuania market, energy security, and cross-border trading as Latvia seeks to mitigate supply risks and stabilize power flows.

Key Points

Proposed AST purchases of power from Belarus's Astravets plant to bolster Baltic grid supply via Lithuania.

✅ AST evaluates imports to mitigate supply risk

✅ Energy could enter Lithuania via existing trading route

✅ Debate centers on nuclear safety and Baltic grid impacts

Latvia’s electricity transmission system operator, AST, is looking at the possibility of purchasing electricity from the soon-to-be completed Belarusian nuclear power plant in Astravets, at a time when Ukraine's electricity exports have resumed in the region, long criticised by the Lithuanian government, Belsat TV has reported.

According to the Latvian media, the Latvian government is seeking to mitigate the risk of a possible drop in electricity supplies amid price spikes in Ireland highlighting dispatchable power concerns, given that energy trading between the Baltic states and third parties is currently carried out only through the Belarusian-Lithuanian border, including Latvian imports from Lithuania.

If AST starts importing electricity from the Belarusian plant to Latvia, in a pattern similar to Georgia's electricity imports during peak demand, the energy is expected to enter the Lithuanian market as well.

Such cross-border flows also mirror responses to Central Asia's electricity shortages seen recently.

The Lithuanian government has repeatedly criticised the nuclear power over national security and environmental safety concerns, as well as a number of emergencies that took place during construction, particularly as Europe is losing nuclear power and confronting energy security challenges.

Debates over infrastructure and safety have also intensified by projects like power lines to reactivate Zaporizhzhia in Ukraine.

The first Astravets reactor, which is being built close to the Lithuanian border in the Hrodno region, is expected to be operational by the end of 2019, a year that saw Belgium's nuclear exports rise across Europe.

Related News

• Electricity Forum News

• Power Generation News

UK Coal-Free Grid Streak highlights record hours without coal, as renewable energy, wind and solar boost electricity generation, cutting CO2 emissions, reducing fossil fuel reliance, and accelerating grid decarbonization amid volatile gas markets.

Key Points

It is the UKs longest coal-free power run, driven by renewables, signaling decarbonization and reduced gas reliance.

✅ Record-breaking hours of electricity with zero coal generation

✅ Enabled by wind, solar, and growing offshore wind capacity

✅ Highlights need to cut gas use and expand renewable investment

Today is the fourth the UK has entered with not a watt of electricity generated by coal.

It’s the longest such streak since the 1880s and comes only days after the last modern era coal-free power record of 55 hours was set.

That represents good news for those of us who have children and would rather like there to be a planet for them to live on when we’re gone.

Coal generated power is dirty power, and not just through the carbon that gets pumped into the atmosphere when it burns.

The fact that the UK is increasingly able to call upon cleaner alternatives for its requirements, to the extent that records are being regularly broken and coal's share has fallen to record lows, is a welcome development.

The trouble is one of those alternatives is gas, and while it is better than coal it still throws off CO2, among other pollutants. The UK’s use of it, for electricity generation and most of its heating, comes with the added disadvantage of leaving it in hock to volatile international markets and producers that aren’t always friendly.

It was only last month, with the country in the middle of a cold snap, that the Grid was issuing a deficit warning (its first in eight years).

As I wrote at the time, we need to burn less of the stuff as low-carbon progress stalled in 2019 shows, too.

As such, Greenpeace’s call for more investment in renewable energy technology and generation, including solar, onshore wind and offshore wind, which is making an increasing contribution as wind beat coal in 2016 demonstrated, was well made.

Those who complain about onshore wind farms, particularly when they are built in windy places that are pretty, seem willfully blind to the pollution caused by gas.

The need to be listened to less. So do those, like British Gas owner Centrica, that bellyache about green taxes.

It bears repeating that fossil fuels are subsidised still more. It’s just that the subsidies are typically hidden.

A report issued last year by a coalition of environmental organisations found the UK provided $972m (£695m) of annual financing for fossil fuels on average between 2013 and 2015, compared with $172m for renewable energy.

But while they come up with wildly varying amounts as a result of wildly varying approaches, the OECD, the IMF and the International Energy Agency have all quantified substantial subsidies for fossils fuels. Their annual estimates have ranged from $160bn to $5.3tn (yes you read that rate and the number was the IMF’s) globally.

So by all means celebrate coal free days, and a full week without coal power as milestones. But we need more of them more quickly and we need more renewable energy to pick up the slack. As such, the philosophy and approach of government needs to change.

Related News

• Electricity Forum News

• Power Generation News

Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

Related News

• Electricity Forum News

• Grid Technologies News