Canada boasts great geothermal potential

Lockdown Electricity Demand Trends reveal later mornings, weaker afternoons, and delayed peaks as WFH, streaming, and video conferencing reshape energy demand curves, grid forecasting, and residential electricity usage across Europe, New York, Tokyo, and Singapore.

Key Points

Shifts in power use during lockdowns: later ramps, weaker afternoons, and higher, delayed evening peaks.

✅ Morning ramp starts later; midday demand dips

✅ Evening peak shifts 1-2 hours; higher late-night usage

✅ WFH and streaming raise residential load; industrial demand falls

Life in lockdown means getting up late, staying up till midnight and slacking off in the afternoons.

That’s what power market data in Europe show in the places where restrictions on activity have led to a widespread shift in daily routines of hundreds of millions of people.

It’s a similar story wherever lockdowns bite. In New York City electricity use has fallen as much as 18% from normal times at 8am. Tokyo and three nearby prefectures had a 5% drop in power use during weekdays after Japan declared a state of emergency on April 7, according to Tesla Asia Pacific, an energy forecaster.

Italy’s experience shows the trend most clearly since the curbs started there on March 5, before any other European country. Data from the grid operator Terna SpA gives a taste of what other places are also now starting to report, with global daily demand dips observed in many markets as well.

1. People are sleeping later

With no commute to the office people can sleep longer. Normally, electricity demand began to pick up between 6 a.m. and 8 a.m. Now in Germany, it’s clear coffee machines don’t go on until between 8 a.m. and 9 a.m., said Simon Rathjen, founder of the trading company MFT Energy A/S.

Germany, France and Italy -- which between them make up almost two thirds of the euro-zone economy -- all have furlough measures that allow workers to receive a salary while temporarily suspended from their jobs. The U.K. also has a support package. Many of these workers will be getting up later.

"Now I have quite a relaxed start to the morning,” said David Freeman, an analyst in financial services from London. "I don’t get up until about half an hour before I need to start work.”

2. Less productive afternoons

There is a deeper dip in electricity use in the afternoons. Previously, power use rose between 2pm and 5pm. Now it dips as people head out for a walk or some air, according to UK demand data from National Grid Plc

It’s "as though we are living through a month of Sundays”, said Iain Staffell, senior lecturer in sustainable energy at Imperial College London.

3. Evenings in

From 6pm electricity use begins to rise steeply as people finish work and start chores. Restrictions like work and home schooling that prevent much daytime TV watching lifts in the early evening. This following chart for Germany shows the evening peak for power use coming during later hours.

The evening is when electricity use is highest, with most people confined to their homes. Netflix Inc reported a record 15.8 million paid subscribers – almost double the figure forecast by Wall Street analysts. Video-streaming services like Netflix and YouTube have found a captive audience. The new Disney+ service surpassed 50 million subscribers in just five months, a faster pace than predicted.

Internet traffic is skyrocketing, with a surge in bandwidth-intensive applications like streaming services and Zoom. This may mean that monthly broadband consumption of as much as 600 gigabytes, about 35% higher than before, according to Bloomberg Intelligence.

In Singapore, electricity use has dropped off significantly since the country’s "circuit-breaker” efforts to keep people at home began April 7. Electricity use has fallen and stayed low during the day. But late at night is a different story, as power demand fell sharply immediately after the lockdown began, it has steadily crept back in the past two weeks, perhaps a sign that Tiger King and The Last Dance have been finding late-night fans in the city state.

In Ottawa, COVID-19 closures made it seem as if the city had fallen off the electricity grid, according to local reports.

4. Staying up late

We’re going to bed later too. Demand doesn’t start to drop off until 10pm to 12am, at least an hour later than before.

"My children are definitely going to bed later,” said Liz Stevens, a teaching assistant from London. "Our whole routine is out the window.”

It’s challenging for those that need to predict behaviour – power grids and electricity traders. Forecasting is based on historical data, and there isn’t anything to go into the models gauging use now.

The closest we can get is looking at big events like football World Championships when people are all sitting down at the same time, according to Rathjen at MFT.

"Forecasting demand right now is very tricky,” said Chris Kimmett, director of power grids at Reactive Technologies Ltd. "A global pandemic is uncharted territory."

What normal looks like when the crisis passes is also an open question. Different countries are set to unravel their measures in their own ways, and global power demand has already surged above pre-pandemic levels in some analyses, with Germany and Austria loosening restrictions first and Italy remaining under tight control. Some changes may be permanent, with both workers and employers becoming more comfortable with working from home.

5. Different sectors consume more

In China, which is further along recovering from the pandemic than Europe or the US, the sharp contraction in overall power output masks a shift in daily routines.

Eating habits have changed. Restaurants are expanding delivery and even offering grocery services as the preference for dining at home persists. Household electricity consumption in China probably increased from activities such as cooking and heating, according to IHS Markit, which said that residential demand rose by 2.4% in the first two months as people stayed in.

The increase in technology use also drove China’s power demand from the telecom and web-service sectors to rise by 27%, the consultancy said.

Overall, China power demand in the first quarter of the year fell 6.5% from the same period in 2019 to 1.57 trillion kilowatt-hours, China’s National Energy Administration said last week. Industry uses about 70% of the country’s electricity, while the commercial sector and households account for 14% each. – Bloomberg

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GE Wind Turbine Collapse Brazil raises safety concerns at Omega Energia's Delta VI wind farm in Maranhe3o, with GE Renewable Energy probing root-cause of turbine failure after a worker injury and similar incidents in 2024.

Key Points

An SEO focus on the Brazil GE turbine collapse, its causes, safety investigation, and related 2024 incidents.

✅ Incident at Omega Energia's Delta VI, Maranhao; one worker injured

✅ GE Renewable Energy conducts root-cause investigation and containment

✅ Fifth GE turbine collapse in 2024 across Brazil and the United States

A GE Renewable Energy turbine collapsed at a wind farm in north-east Brazil, injuring a worker and sparking a probe into the fifth such incident this year, the manufacturer confirmed.

One of the manufacturer’s GE 2.72-116 turbines collapsed at Omega Energia’s Delta VI project in Maranhão, which was commissioned in 2018.

Three GE employees were on site at the time of the collapse on Tuesday (3 September), the US manufacturer confirmed, even as U.S. offshore wind developers signal growing competitiveness with gas. 

One worker was injured and is currently receiving medical treatment, GE added.

"We are working to determine the root cause of this incident and to provide proper support as needed," it said

The turbine collapse in Brazil is the fifth such incident involving GE turbines this year, even as the UK's biggest offshore windfarm begins power supply this week, underscoring broader sector momentum.

On 16 February, a turbine collapsed at NextEra Energy Resources’ Casa Mesa wind farm in New Mexico, US, while giant wind components were being transported to a project in Saskatchewan, Canada. The site uses GE’s 2.3-116 and 2.5-127 models.

The New Mexico incident was followed by another collapse in the US — as a Scottish North Sea wind farm resumed construction after Covid-19 — this time a GE 2.4-107 unit at Tradewind Energy’s Chisholm View 2 project in Oklahoma on 21 May.

Two GE turbines then collapsed at projects in July: a 2.5-116 unit at Invenergy’s Upstreamwind farm in Nebraska on 5 July, followed by a 1.7-103 model at the Actis Group-owned Ventos de São Clemente complex in Pernambuco, north-eastern Brazil, even as tidal power in Scotland generated enough electricity to power nearly 4,000 homes.

No employees were injured in the first four turbine collapses of the year, in contrast with concerns at a Hawaii geothermal plant over potential meltdown risk.

In response to the latest incident, GE Renewable Energy added: "It is too early to speculate about the root cause of this week’s turbine collapse.

"Based on our learnings from the previous turbine collapses, we have teams in place focused on containing and resolving these issues quickly, to ensure the safe and reliable operation of our turbines."

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Hydro Quebec transmission expansion aims to move surplus hydroelectric capacity from record reservoirs to the US grid via new interties, increasing exports to New England and New York amid rising winter peak demand.

Key Points

A plan to add capacity and intertie links to export surplus hydro power from Quebec's reservoirs to the US grid.

✅ 245 MW added in 2021; portfolio reaches 37,012 MW

✅ Reservoirs at unprecedented levels; export potential high

✅ Lacks US transmission; working on new interties

Hydro Quebec plans to add an incremental 245 MW of hydro-electric generation capacity in 2021 to its expansive portfolio in the north of the province, while Quebec authorized nearly 1,000 MW for industrial projects across the region, bringing the total capacity to 37,012 MW, an official said Friday

Quebec`s highest peak demand of 39,240 MW occurred on January 22, 2014.

A little over 75% of Quebec`s population heat their homes with electricity, Sutherland said, aligning with Hydro Quebec's strategy to wean the province off fossil fuels over time.

The province-owned company produced 205.1 TWh of power in 2017 and its net exports were 34.4 TWh that year, while Ontario chose not to renew a power deal in a separate development.

Sutherland said Hydro Quebec`s reservoirs are currently at "unprecedented levels" and the company could export more of its electricity to New England and New York, but faces transmission constraints that limit its ability to do so.

Hydro Quebec is working with US transmission developers, electric distribution companies, independent system operators and state government agencies to expand that transmission capacity in order to delivery more power from its hydro system to the US, Sutherland said.

Separately, NB Power signed three deals to bring more Quebec electricity into the province, reflecting growing regional demand.

The last major intertie connection between Quebec and the US was completed close to 30 years ago. The roughly 2,000 MW capacity transmission line that connects into the Boston area was completed in the late 1990s, according to Hydro Quebec spokeswoman Lynn St-Laurent.

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EU Energy Price Surge is driving up electricity and gas costs, inflation, and cost of living across the EU, prompting tax cuts, price caps, subsidies, and household support measures in France, Italy, Spain, and Germany.

Key Points

A surge in EU gas and electricity costs driving inflation and prompting government subsidies, tax cuts, and price caps.

✅ Low-income EU households now spend 50-70 percent more on energy.

✅ Governments deploy tax cuts, price caps, and direct subsidies.

✅ Gas-dependent power markets drive electricity price spikes.

Higher energy prices, including for natural gas, are pushing up electricity prices and the cost of living for households across the EU, prompting governments to cut taxes and provide financial support to the tune of several billion euros.

In the United Kingdom, households are bracing for high winter energy bills this season.

A series of reports published by Cambridge Econometrics in October and November 2022 found that households in EU countries are spending much more on energy than in 2020 and that governments are spending billions of euros to help consumers pay bills and cut taxes.

In France, for example, the poorest households now spend roughly one-third more on energy than in 2020. Between August 2020 and August 2022, household energy prices increased by 37 percent, while overall inflation increased by 9.2 percent.

“We estimate that the increase in household energy prices make an average French household €410 worse off in 2022 compared to 2020, mostly due to higher gas prices,” said the report.

In response to rising energy prices, the French government has adopted price caps and support measures forecast to cost over €71 billion, equivalent to 2.9 percent of French GDP, according to the U.K.-based consultancy.

In Italy, fossil fuels alone were responsible for roughly 30 percent of the country’s annual rate of inflation during spring 2022, according to Cambridge Econometrics. Unlike in other European countries, retail electricity prices have outpaced other energy prices in Italy and were 112 percent higher in July 2022 than in August 2020, the report found. Over the same time period, retail petrol prices were up 14 percent, diesel up 22 percent, and natural gas up 42 percent.

We estimate that households in the lowest-income quintile now spend about 50 percent more on energy than in 2020.

“We estimate that before government support, an average Italian household will be spending around €1,400 more on energy and fuel bills this year than in 2020,” the report said. “Low-income households are worse affected by the increasing energy prices: we estimate that households in the lowest-income quintile now spend about 50 percent more on energy than in 2020.”

Electricity production in Italy is dominated by natural gas, which has also led to a spike in wholesale electricity prices. In 2010, natural gas accounted for 50 percent of all electricity production. The share of natural gas fell to 33 percent in 2014, but then rose again, reaching 48 percent in 2021, and 56 percent in the first half of 2022, according to the report, as gas filled the gap of record low hydro power production in 2022.

In Spain, where electricity prices have seen extreme spikes, low-income households are now spending an estimated 70% more on energy than in 2020, according to Cambridge Econometrics.

Low-income squeeze
In Spain, low-income households are now spending an estimated 70% more on energy than in 2020, according to Cambridge Econometrics. It noted that the Spanish government has intervened heavily in energy markets by cutting taxes, introducing cash transfers for households, and capping the price of natural gas for power generators. The latter has led to lower electricity prices than in many other EU countries.

These support measures are forecast to cost the Spanish government over €35 billion, equivalent to nearly 3 percent of Spain’s GDP. Yet consumers will still feel the burden of higher costs of living, and rolling back electricity prices may prove difficult in the near term.

In March, electricity prices alone were responsible for 45 percent of year-on-year inflation in Spain but prices have since fallen as a result of government intervention, Cambridge Econometrics said. Between May and July, fossil fuels prices accounted for 19-25 percent of the overall inflation rate, and electricity prices for 16 percent.

Support measures
Rising inflation is also a real challenge in Germany, Europe’s largest economy, where German power prices have surged this year, adding pressure. Also there, higher gas prices are to blame.

“We estimate that the increase in energy prices currently make an average household €735 worse off in 2022 compared to 2020, mostly due to higher gas prices,” Cambridge Econometrics said, in a report focused on Germany.

The German government has introduced a number of support measures in order to help households, businesses and industry to pay energy bills, amid rising heating and electricity costs for consumers, including price caps that are expected to take effect in March next year. Moreover, households’ energy bills for December this year will be paid by the state. According to the report, these interventions will mitigate the impact of higher prices “to some extent”, but the aid measures are forecast to cost the government nearly 5 percent of GDP.

Fossil-fuel effect
In addition to gas, higher coal prices have also pushed up inflation in some countries, and U.S. electricity prices have reached multi-decade highs as inflation endures.

In Poland, which is heavily dependent on coal for electricity generation, fossil fuels accounted for roughly 40 percent of Poland’s overall year-on-year inflation rate in June 2022, which stood at over 14 percent, the consultancy said.

The price of household coal, which is widely used in heating Polish homes, increased by 157 percent between August 2021 and August 2022.

Higher energy prices in Poland are partly due to Polish and EU sanctions against Russian gas and coal. Other drivers are the weakening of the Polish zloty against the U.S. dollar and the euro, and the uptick in global demand after COVID-19 lockdowns, said Cambridge Econometrics.

Electricity prices have risen at a much slower pace than energy for transport and heating, with an annualized increase of 5.1 percent.

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Grid Modernization drives utilities to integrate DER, AMI, and battery storage while balancing reliability, safety, and affordability; regulators pursue cost-benefit analyses, new rate design, and policy actions to guide investment and protect customer-owned resources.

Key Points

Upgrading the grid to manage DER with digital tools, while maintaining reliability, safety, and customer affordability.

✅ Cost-benefit analyses guide prudent grid investments

✅ AMI and storage deployments enable DER visibility and control

✅ Rate design reforms support customer-owned resources

Utilities’ pursuit of a modern grid, including the digital grid concept, to maintain the reliability and safety pillars of electricity delivery has raised a lot of questions about the third pillar — affordability.

Utilities are seeing rising penetrations of emerging technologies, highlighted in recent grid edge trends reports, like distributed solar, behind-the-meter battery storage, and electric vehicles. These new distributed energy resources (DER) do not eliminate utilities' need to keep distribution systems safe and reliable.

But the need for modern tools to manage DER imposes costs on utilities, prompting calls to invest in smarter infrastructure even as some regulators, lawmakers and policymakers are concerned those costs could drive up electricity rates.

The result is an increasing number of legislative and regulatory grid modernization actions aimed at identifying what is necessary to serve the coming power sector transformation and address climate change risks across the grid.

The rise of grid modernization

Grid modernization, which is supported by both conservatives and distributed energy resources advocates, got a lot of attention last year. According to the 2017 review of grid modernization policy by the North Carolina Clean Energy Technology Center (NCCETC), 288 grid modernization policy actions were proposed, pending or enacted in 39 states.

These numbers from NCCETC's first annual review of policy activity set a benchmark against which future years' activity can be measured.

The most common type of state actions, by far, were those that focused on the deployment of advanced metering infrastructure (AMI) and battery energy storage. Those are two of the 2017 trends identified in NCCETC’s 50 States of Grid Modernization report. But deployment of those technologies, while foundational to an updated grid, only begins to prepare distribution systems for the coming power sector transformation.

Bigger advances, including the newest energy system management tools, are being held back by 2017’s other policy actions requiring more deliberation and fact-finding, even as grid vulnerability report cards underscore the risks that modernization seeks to mitigate.

Utilities’ proposals to more fully prepare their grids to deliver 21st century technologies are being met with questions about completeness and cost.

Utilities are being asked to address these questions in comprehensive, public utility commission-led cost-benefit analyses and studies. This is also one of NCCETC’s top 2017 policy action trends for grid modernization. The outcome to date appears to be an increased, but still incomplete, understanding of what is needed to build a 21st century grid.

Among the top objectives of those driving the policy actions are resolving questions about private sector participation in grid modernizaton buildouts and developing new rate designs to protect and support customer-owned distributed energy resources. Actions on those topics are also on NCCETC’s list of 2017 policy trends.

Altogether, the trend list is dominated by actions that do not lead to completion of grid modernization but to more work on it.

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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.

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