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Scotland Wind Energy delivered record renewable power as wind turbines and farms generated 9,831,320 MWh in H1 2019, supplying clean electricity for every home twice and supporting northern England, according to WWF data.

Key Points

Term for Scotland's wind power output, highlighting 2019 records, clean electricity, and progress on decarbonization.

✅ 9,831,320 MWh generated Jan-Jun 2019 by wind farms

✅ Enough to power 4.47 million homes twice in that period

✅ Advances decarbonization and 2030 renewables, 2050 net-zero goals

Wind turbines in Scotland produced enough electricity in the first half of 2019, reflecting periods when wind led the power mix across the UK, to power every home in the country twice over, according to new data by the analytics group WeatherEnergy. The wind farms generated 9,831,320 megawatt-hours between January and June, as the UK set a wind generation record in comparable periods, equal to the total electricity consumption of 4.47 million homes during that same period.

The electricity generated by wind in early 2019 is enough to power all of Scotland’s homes, as well as a large portion of northern England’s, highlighting how wind and solar exceeded nuclear in the UK in recent milestones as well, and events such as record UK output during Storm Malik underscore this capacity.

“These are amazing figures,” Robin Parker, climate and energy policy manager at WWF, which highlighted the new data, said in a statement. “Scotland’s wind energy revolution is clearly continuing to power ahead, as wind became the UK’s main electricity source in a recent first. Up and down the country, we are all benefitting from cleaner energy and so is the climate.”

Scotland currently has a target of generating half its electricity from renewables by 2030, a goal buoyed by milestones like more UK electricity from wind than coal in 2016, and decarbonizing its energy system almost entirely by 2050. Experts say the latest wind energy data shows the country could reach its goal far sooner than originally anticipated, especially with complementary technologies such as tidal power in Scottish waters gaining traction.

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US January power generation climbed to 373.2 TWh, EIA data shows, with coal edging natural gas, record wind output, record nuclear generation, rising hydro, and stable utility-scale solar amid higher Henry Hub prices.

Key Points

US January power generation hit 373.2 TWh; coal led gas, wind and nuclear set records, with solar edging higher.

✅ Coal 31.8% share; gas 29.4%; coal output 118.7 TWh, gas 109.6 TWh.

✅ Wind hit record 26.8 TWh; nuclear record 74.6 TWh.

✅ Total generation 373.2 TWh, highest January since 2014.

The US generated 373.2 TWh of power in January, up 7.9% from 345.9 TWh in December and 9.3% higher than the same month in 2017, Energy Information Administration data shows.

The monthly total was the highest amount in January since 377.3 TWh was generated in January 2014.

Coal generation totaled 118.7 TWh in January, up 11.4% from 106.58 TWh in December and up 2.8% from the year-ago month, consistent with projections of a coal-fired generation increase for the first time since 2014. It was also the highest amount generated in January since 132.4 TWh in 2015.

For the second straight month, more power was generated from coal than natural gas, as 109.6 TWh came from gas, up 3.3% from 106.14 TWh in December and up 19.9% on the year.

However, the 118.7 TWh generated from coal was down 9.6% from the five-year average for the month, due to the higher usage of gas and renewables and a rising share of non-fossil generation in the overall mix.

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Coal made up 31.8% of the total US power generation in January, up from 30.8% in December but down from 33.8% in January 2017.

Gas` generation share was at 29.4% in the latest month, with momentum from record gas-fired electricity earlier in the period, down from 30.7% in December but up from 26.8% in the year-ago month.

In January, the NYMEX Henry Hub gas futures price averaged $3.16/MMBtu, up 13.9% from $2.78/MMBtu averaged in December but down 4% from $3.29/MMBtu averaged in the year-ago month.

WIND, NUCLEAR GENERATION AT RECORD HIGHS

Wind generation was at a record-high 26.8 TWh in January, up 29.3% from 22.8 TWh in December and the highest amount on record, according to EIA data going back to January 2001. Wind generated 7.2% of the nation`s power in January, as an EIA summer outlook anticipates larger wind and solar contributions, up from 6.6% in December and 6.1% in the year-ago month.

Utility-scale solar generated 3.3 TWh in January, up 1.3% from 3.1 TWh in December and up 51.6% on the year. In January, utility-scale solar generation made up 0.9% of US power generation, during a period when solar and wind supplied 10% of US electricity in early 2018, flat from December but up from 0.6% in January 2017.

Nuclear generation was also at a record-high 74.6 TWh in January, up 1.3% month on month and the highest monthly total since the EIA started tracking it in January 2001, eclipsing the previous record of 74.3 TWh set in July 2008. Nuclear generation made up 20% of the US power in January, down from 21.3% in December and 21.4% in the year-ago month.

Hydro power totaled 25.4 TWh in January, making up 6.8% of US power generation during the month, up from 6.5% in December but down from 8.2% in January 2017.

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COVID-19 Solar Job Losses are erasing five years of workforce growth, SEIA reports, with U.S. installations and capacity down, layoffs accelerating, 3 GW expected in Q2, and policy support key for economic recovery.

Key Points

COVID-19 Solar Job Losses describe the pandemic-driven decline in U.S. solar employment, installations, and capacity.

✅ SEIA reports a 38% national drop in solar jobs

✅ Q2 installs projected at 3 GW, below forecasts

✅ Layoffs outpace U.S. economy without swift policy aid

Job losses associated with the COVID-19 crisis have wiped out the past five years of workforce growth in the solar energy field, according to a new industry analysis.

The expected June 2020 solar workforce of 188,000 people across the United States is 114,000 below the pre-pandemic forecast of 302,000 workers, a shortfall tied to the solar construction slowdown according to the Solar Energy Industries Association, which said in a statement Monday that the solar industry is now losing jobs at a faster rate than the U.S. economy.

In Massachusetts, the loss of 4,284 solar jobs represents a 52 percent decline from previous projections, according to the association’s analysis.

The national 38 percent drop in solar jobs coincides with a 37 percent decrease in expected solar installations in the second quarter of 2020, and similar pressures have put wind investments at risk across the sector, the association stated. The U.S. is now on track to install 3 gigawatts of new capacity this quarter, though subsequent forecasts anticipated solar and storage growth as investments returned, and the association said the decrease from the expected capacity is equivalent to the electricity needed to power 288,000 homes.

“Thousands of solar workers are being laid off each week, but with swift action from Congress, we know that solar can be a crucial part of our economic recovery,” with proposals such as the Biden solar plan offering a potential policy path, SEIA President and CEO Abigail Ross Hopper said in a statement, as recent analyses point to US solar and wind growth under supportive policies.

Subsequent data showed record U.S. panel shipments as the market rebounded.

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Gulf Power Hurricane Michael Response details rapid power restoration, grid rebuilding, and linemen support across the Florida Panhandle, Panama City, and coastal areas after catastrophic winds, rain, and storm surge damaged transmission lines and substations.

Key Points

Gulf Power's effort to restore electricity after Hurricane Michael, including grid rebuilding and storm recovery.

✅ 3,000+ crews deployed for restoration and rebuilding

✅ Transmission, distribution, and substations severely damaged

✅ Panhandle customers warned of multi-week outages

Less than 24 hours ago, Hurricane Micheal devastated the residents in the Florida Panhandle with its heavy winds, rainfall and storm surge, as reflected in impact numbers across the region.

Gulf Power crews worked quickly through the night to restore power to their customers.

Linemen crews were dispatched from numerous of cities all over the U. S., reflecting FPL's massive Irma response to help those impacted by Hurricane Michael.

According to Jeff Rogers, Gulf Power spokesperson; “This was an unprecedented storm, and our customers will see an unprecedented response from Gulf Power. The destruction we’ve seen so far to this community and our electrical system is devastating — we’re seeing damage across our system, including distribution lines, transmission lines and substations.”

Gulf Power told Channel 3 said they dealt with issues like trees and heavy debris blocking roads from strong winds, and communications down can slow down the rebuilding and restoration process, but Gulf Power said they are prepared for this type of storm devastation.

According to Gulf Power, Hurricane Micheal caused so much damage to Panama City's electrical grid that crews not only had repair the lines, they had to rebuild the electrical system, a scenario similar to a complete rebuild seen after Hurricane Laura in Louisiana.

Gulf Power officials say, "Less than 24 hours after the storm, more than 3,000 storm personnel from around the country arrived in the Panama City area Thursday to begin the restoration and rebuilding process. So far, more than 4,000 customers have been restored on Panama City Beach. Power has been restored to all customers in Escambia, Santa Rosa and Okaloosa counties, and it’s expected that customers in Walton County will be restored tonight. But customers in the hardest hit areas should prepare to be without power for weeks, not days in some areas. Initial evaluations by Gulf Power indicate widespread, heavy damage to the electrical system in the Panama City area."

According to Gulf Power, crews have restored power to more than 32,000 Gulf Power customers in the wake of Hurricane Michael, but the work is just beginning for power restoration in the Panama City area.

Rogers said, “We’re heartbroken for our customers and our teammates who live in and near the Panama City area,” said Rogers. “This is the type of storm that changes lives — so aside from restoring power to our customers quickly and safely, our focus in the coming days and weeks will also be to help restore hope to these communities and help give them a sense of normalcy as soon as possible.”

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Community Power Tariff UK delivers clean electricity from community energy projects, sourcing renewable energy from local wind and solar farms, with carbon offset gas, transparent provenance, fair pricing, and reinvestment in local generators across Britain.

Key Points

UK energy plan delivering 100% community renewable power with carbon-offset gas, sourced from local wind and solar.

✅ 100% community-generated electricity from UK wind and solar

✅ Fair prices with profits reinvested in local projects

✅ Carbon-offset gas and verified, transparent provenance

UK homes will soon be able to plug into community wind and solar farms from anywhere in the country through the first energy tariff to offer clean electricity exclusively from community projects.

The deal from Co-op Energy comes as green energy suppliers race to prove their sustainability credentials amid rising competition for eco-conscious customers and “greenwashing” in the market.

The energy supplier will charge an extra £5 a month over Co-op’s regular tariff to provide electricity from community energy projects and gas which includes a carbon offset in the price.

Co-op, which is operated by Octopus Energy after it bought the business from the Midcounties Co-operative last year, will source the clean electricity for its new tariff directly from 90 local renewable energy generation projects across the UK, including the Westmill wind and solar farms in Oxfordshire. It plans to use all profits to reinvest in maintaining the community projects and building new ones.

Phil Ponsonby, the chief executive of Midcounties Co-operative, said the tariff is the UK’s only one to be powered by 100% community-generated electricity and would ensure a fair price is paid to community generators too, amid a renewable energy auction boost that supports wider deployment.

Customers on the Community Power tariff will be able to “see exactly where it is being generated at small scale sites across the UK, and, with new rights to sell solar power back to energy firms, they know it is benefiting local communities”, he said.

Co-op, which has about 300,000 customers, has set itself apart from a rising number of energy supply deals which are marked as 100% renewable, but are not as green as they seem, even as many renewable projects are on hold due to grid constraints.

Consumer group Which? has found that many suppliers offer renewable energy tariffs but do not generate renewable electricity themselves or have contracts to buy any renewable electricity directly from generators.

Instead, the “pale green” suppliers exploit a loophole in the energy market by snapping up cheap renewable energy certificates, without necessarily buying energy from renewables projects.

The certificates are issued by the regulator to renewable energy developers for each megawatt generated, but these can be sold separately from the electricity for a fraction of the price.

A survey conducted last year found that one in 10 people believe that a renewables tariff means that the supplier generates at least some of its electricity from its own renewable energy projects.

Ponsonby said the wind and solar schemes that generate electricity for the Community Power tariff “plough the profits they make back into their neighbourhoods or into helping other similar projects get off the ground”.

Greg Jackson, the chief executive of Octopus Energy, said being able to buy locally-sourced clean, green energy is “a massive jump in the right direction” which will help grow the UK’s green electricity capacity nationwide.

“Investing in more local energy infrastructure and getting Britain’s homes run by the sun when it’s shining and wind energy when it’s blowing can end our reliance on dirty fossil fuels sooner than we hoped,” he said.

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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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