Aclara TWACS chosen by Idaho Power for AMI

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The TWACS power-line communications solution, one of the Aclara-brand technologies of ESCO Technologies Inc., St. Louis, has been selected by Idaho Power for its proposed advanced metering infrastructure (AMI) project.

Idaho Power is involved in the generation, purchase, transmission, distribution and sale of electric energy in a 24,000-square-mile area in southern Idaho and eastern Oregon, serving approximately 500,000 metered endpoints.

Idaho Power initially deployed the TWACS power-line solution several years ago with a 25,000 unit deployment intended to substantiate the business case for AMI and to test customer response to time-of-use billing and demand response/load control programs.

The successful performance of this technology over the past few years was a significant factor in Idaho PowerÂ’s decision to expand to a system-wide TWACS deployment.

Idaho Power plans to purchase the most advanced TWACS meter modules to collect interval data for current billing needs and to support planned time-of-use billing and demand response programs that are designed to allow the utility and its customers to better manage energy consumption and related energy costs.

The total value of purchase orders anticipated to be issued under this contract is approximately $25 million and the system is expected to be deployed over a three-year period beginning in early 2009.

Bruce Kessler, president of Aclara Power-Line Systems Inc., commented, “We are pleased that Idaho Power has decided to expand its existing TWACS installation to meet its AMI needs within its vast service territory. We believe Aclara’s versatile, proven-at-scale power-line solution is the most cost-effective AMI system for utilities such as Idaho Power, which have both rural and urban service areas, to collect meter data and to provide advanced demand response and time-of-use programs to meet customers’ energy needs today and well into the future.”

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Why Is Central Asia Suffering From Severe Electricity Shortages?

Central Asia power shortages strain grids across Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan, driven by drought-hit hydropower, aging coal and gas plants, rising demand, cryptomining loads, and winter peak consumption risks.

 

Key Points

Regionwide blackouts from drought, aging plants and grids, rising demand, and winter peaks stressing Central Asia.

✅ Drought slashes hydropower in Kyrgyzstan, Tajikistan, Uzbekistan

✅ Aging coal and gas TPPs and weak grids cause frequent outages

✅ Cryptomining loads and winter heating spike demand and stress supply

 

Central Asians from western Kazakhstan to southern Tajikistan are suffering from power and energy shortages that have caused hardship and emergency situations affecting the lives of millions of people.

On October 14, several units at three power plants in northeastern Kazakhstan were shut down in an emergency that resulted in a loss of more than 1,000 megawatts (MW) of electricity.

It serves as an example of the kind of power failures that plague the region 30 years after the Central Asian countries gained independence and despite hundreds of millions of dollars being invested in energy infrastructure and power grids, and echo risks seen in other advanced markets such as Japan's near-blackouts during recent cold snaps.

Some of the reasons for these problems are clear, but with all the money these countries have allocated to their energy sectors and financial help they have received from international financial institutions, it is curious the situation is already so desperate with winter officially still weeks away.


The Current Problems
Three power plants were affected in the October 14 shutdowns of units: Ekibastuz-1, Ekibastuz-2, and the Aksu power plant.

Ekibastuz-1 is the largest power plant in Kazakhstan, capable of generating some 4,000 MW, roughly 13 percent of Kazakhstan’s total power output.

The Kazakhstan Electricity Grid Operating Company (KEGOC) explained the problems resulted partially from malfunctions and repair work, but also from overuse of the system that the government would later say was due to cryptominers, a large number of whom have moved to Kazakhstan recently from China after Beijing banned the mining needed by Bitcoin and other cryptocurrencies, amid its own China's power cuts across several provinces in 2021.

But between November 8 and 9, rolling blackouts were reported in the East Kazakhstan, North Kazakhstan, and Kyzylorda provinces, as well as the area around Almaty, Kazakhstan’s biggest city, and Shymkent, its third largest city.

People in Uzbekistan say they, too, are facing blackouts that the Energy Ministry described as “short-term outages,” even as authorities have looked to export electricity to Afghanistan to support regional demand, though it has been clear for several weeks that the country will have problems with natural gas supplies this winter.


Power lines in Uzbekistan
Kyrgyz President Sadyr Japarov continues to say there won't be any power rationing in Kyrgyzstan this winter, but at the end of September the National Energy Holding Company ordered “restrictions on the lighting of secondary streets, advertisements, and facades of shops, cafes, and other nonresidential customers.”

Many parts of Tajikistan are already experiencing intermittent supplies of electricity.

Even in Turkmenistan, a country with the fourth-largest reserves of natural gas in the world, there were reports of problems with electricity and heating in the capital, Ashgabat.


What Is Going On?
The causes of some of these problems are easy to see.

The population of the region has grown significantly, with the population of Central Asia when the Soviet Union collapsed in late 1991 being some 50 million and today about 75 million.

Kyrgyzstan and Tajikistan are mountainous countries that have long been touted for their hydropower potential and some 90 percent of Kyrgyzstan’s domestically produced electricity and 98 percent of Tajikistan’s come from hydropower.

But a severe drought that struck Central Asia this year has resulted in less hydropower and, in general, less energy for the region, similar to constraints seen in Europe's reduced hydro and nuclear output this year.

Tajik authorities have not reported how low the water in the country’s key reservoirs is, but Kyrgyzstan has reported the water level in the reservoir at its Toktogul hydropower plant (HPP) is 11.8 billion cubic meters (bcm), the lowest level in years and far less than the 14.7 bcm of water it had in November 2020.

The Toktogul HPP, with an installed capacity of 1,200 MW, provides some 40 percent of the country's domestically produced electricity, but operating the HPP this winter to generate desperately needed energy brings the risk of leaving water levels at the reservoir critically low next spring and summer when the water is also needed for agricultural purposes.

This year’s drought is something Kyrgyzstan and Tajikistan will have to take into consideration as they plan how to provide power for their growing populations in the future. Hydropower is a desirable option but may be less reliable with the onset of climate change, prompting interest in alternatives such as Ukraine's wind power to diversify generation.

Uzbekistan is also feeling the effects of this year’s drought, and, like the South Caucasus where Georgia's electricity imports have increased, supply shortfalls are testing grids.

According to the International Energy Agency, HPPs account for some 12 percent of Uzbekistan’s generating capacity.

Uzbekistan’s Energy Ministry attributed low water levels at HPPs that have caused a 23 percent decrease in hydropower generation this year.


A reservoir in Kyrgyzstan
Kazakhstan and Uzbekistan are the most populous Central Asian countries, and both depend on thermal power plants (TPP) for generating most of their electricity.

Most of the TPPs in Kazakhstan are coal-fired, while most of the TPPs in Uzbekistan are gas-fired.

Kazakhstan has 68 power plants, 80 percent of which are coal-fired TPPs, and most are in the northern part of the country where the largest deposits of coal are located. Kazakhstan has the world's 10th largest reserves of coal.

About 88 percent of Uzbekistan’s electricity comes from TTPs, most of which use natural gas.

Uzbekistan’s proven reserves are some 800 billion cubic meters, but gas production in Uzbekistan has been decreasing.

In December 2020, Uzbek President Shavkat Mirziyoev ordered a halt to the country’s gas exports and instructed that gas to be redirected for domestic use. Mirziyoev has already given similar instructions for this coming winter.


How Did It Come To This?
The biggest problem with the energy infrastructure in Central Asia is that it is generally very old. Nearly all of its power plants date back to the Soviet era -- and some well back into the Soviet period.

The use of power plants and transmission lines that some describe as “obsolete” and a few call “decrepit” has unfortunately been a necessity in Central Asia, even as regional players pursue new interconnections like Iran's plan to transmit electricity to Europe as a power hub.

Reporting on Kazakhstan in September 2016, the Asian Development Bank (ADB) said, “70 percent of the power generation infrastructure is in need of rehabilitation.”

The Ekibastuz-1 TPP is relatively new by the power-plant standards of Central Asia. The first unit of the eight units of the TPP was commissioned in 1980.

The first unit at the AKSU TPP was commissioned in 1968, and the first unit of the gas- and fuel-fired TPP in southern Kazakhstan’s Zhambyl Province was commissioned in 1967.

 

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Ontario introduces new 'ultra-low' overnight hydro pricing

Ontario Ultra-Low Overnight Electricity Rates cut costs for shift workers and EV charging, with time-of-use pricing, off-peak savings, on-peak premiums, kilowatt-hour details, and Ontario Energy Board guidance for homes and businesses across participating utilities.

 

Key Points

Ontario's ultra-low overnight plan: 2.4c/kWh 11pm-7am for EVs, shift workers; higher daytime on-peak pricing.

✅ 2.4c/kWh 11pm-7am; 24c/kWh on-peak 4pm-9pm

✅ Best for EV charging, shift work, night usage

✅ Available provincewide by Nov 1 via local utilities

 

The Ontario government is introducing a new ultra-low overnight price plan that can benefit shift workers and individuals who charge electric vehicles while they sleep.

Speaking at a news conference on Tuesday, Energy Minister Todd Smith said the new plan could save customers up to $90 a year.

“Consumer preferences are still changing and our government realized there was more we could do, especially as the province continues to have an excess supply of clean electricity at night when province-wide electricity demand is lower,” Smith said, noting a trend underscored by Ottawa's demand decline during the pandemic.

The new rate, which will be available as an opt-in option as of May 1, will be 2.4 cents per kilowatt-hour from 11 p.m. to 7 a.m. Officials say this is 67 per cent lower than the current off-peak rate, which saw a off-peak relief extension during the pandemic.

However, customers should be aware that this plan will mean a higher on-peak rate, as unlike earlier calls to cut peak rates, Hydro One peak charges remained unchanged for self-isolating customers.

The new plan will be offered by Toronto Hydro, London Hydro, Centre Wellington Hydro, Hearst Power, Renfrew Hydro, Wasaga Distribution, and Sioux Lookout Hydro by May. Officials have said this will be expanded to all local distribution companies by Nov. 1.

With the new addition of the “ultra low” pricing, there are now three different electricity plans that Ontarians can choose from. Here is what you have to know about the new hydro options:

TIME OF USE:
Most residential customers, businesses and farms are eligible for these rates, similar to BC Hydro time-of-use proposals in another province, which are divided into off-peak, mid-peak and on-peak hours.

This is what customers will pay as of May 1 according to the Ontario Energy Board, following earlier COVID-19 electricity relief measures that temporarily adjusted rates:

 Off-peak (Weekdays between 7 p.m. and 7 a.m. and on weekends/holidays): 7.4 cents per kilowatt-hour
 Mid-Peak (Weekdays between 7 a.m. and 11 a.m., and between 5 p.m. and 7 p.m.): 10.2 cents per kilowatt-hour
 On-Peak ( Weekdays 11 a.m. to 5 p.m.): 15.1 cents per kilowatt-hour

TIERED RATES
This plan allows customers to get a standard rate depending on how much electricity is used. There are various thresholds per tier, and once a household exceeds that threshold, a higher price applies. Officials say this option may be beneficial for retirees who are home often during the day or those who use less electricity overall.

The tiers change depending on the season. This is what customers will pay as of May 1:

 Residential households that use 600 kilowatts of electricity per month and non-residential businesses that use 750 kilowatts per month: 8.7 cents per kilowatt-hour.
 Residences and businesses that use more than that will pay a flat rate of 10.3 cents per kilowatt-hour


ULTRA-LOW OVERNIGHT RATES
Customers can opt-in to this plan if they use most of their electricity overnight.

This is what customers will pay as of May 1:

  •  Between 11 p.m. and 7 a.m.: 2.4 cents per kilowatt-hour
  •  Weekends and holidays between 7 a.m. and 11 p.m.: 7.4 cents per kilowatt-hour
  •  Mid-Peak (Weekdays between 7 a.m. and 4 p.m., and between 9 p.m. and 11 p.m.): 10.2 cents per kilowatt-hour
  •  On-Peak (weekdays between 4 p.m. and 9 p.m.): 24 cents per kilowatt-hour

More information on these plans can be found on the Ontario Energy Board website, alongside stable pricing for industrial and commercial updates from the province.

 

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BloombergNEF: World offshore wind costs 'drop 32% per cent'

Global Renewable LCOE Trends reveal offshore wind costs down 32%, with 10MW turbines, lower CAPEX and OPEX, and parity for solar PV and onshore wind in Europe, China, and California, per BloombergNEF analysis.

 

Key Points

Benchmarks showing falling LCOE for offshore wind, onshore wind, and solar PV, driven by larger turbines and lower CAPEX

✅ Offshore wind LCOE $78/MWh; $53-64/MWh in DK/NL excl. transmission

✅ Onshore wind $47/MWh; solar PV $51/MWh, best $26-36/MWh

✅ Cost drivers: 10MW turbines, lower CAPEX/OPEX, weak China demand

 

World offshore wind costs have fallen 32% from just a year ago and 12% compared with the first half of 2019, according to a BNEF long-term outlook from BloombergNEF.

In its latest Levelized Cost of Electricity (LCOE) Update, BloombergNEF said its current global benchmark LCOE estimate for offshore wind is $78 a megawatt-hour.

“New offshore wind projects throughout Europe, including the UK's build-out, now deploy turbines with power ratings up to 10MW, unlocking CAPEX and OPEX savings,” BloombergNEF said.

In Denmark and the Netherlands, it expects the most recent projects financed to achieve $53-64/MWh excluding transmission.

New solar and onshore wind projects have reached parity with average wholesale power prices in California and parts of Europe, while in China levelised costs are below the benchmark average regulated coal price, according to BloombergNEF.

The company's global benchmark levelized cost figures for onshore wind and PV projects financed in the last six months are at $47 and $51 a megawatt-hours, underscoring that renewables are now the cheapest new electricity option in many regions, down 6% and 11% respectively compared with the first half of 2019.

BloombergNEF said for wind this is mainly down to a fall in the price of turbines – 7% lower on average globally compared with the end of 2018.

In China, the world’s largest solar market, the CAPEX of utility-scale PV plants has dropped 11% in the last six months, reaching $0.57m per MW.

“Weak demand for new plants in China has left developers and engineering, procurement and construction firms eager for business, and this has put pressure on CAPEX,” BloombergNEF said.

It added that estimates of the cheapest PV projects financed recently – in India, Chile and Australia – will be able to achieve an LCOE of $27-36/MWh, assuming competitive returns for their equity investors.

Best-in-class onshore wind farms in Brazil, India, Mexico and Texas can reach levelized costs as low as $26-31/MWh already, the research said.

Programs such as the World Bank wind program are helping developing countries accelerate wind deployment as costs continue to drop.

BloombergNEF associate in the energy economics team Tifenn Brandily said: “This is a three- stage process. In phase one, new solar and wind get cheaper than new gas and coal plants on a cost-of- energy basis.

“In phase two, renewables reach parity with power prices. In phase three, they become even cheaper than running existing thermal plants.

“Our analysis shows that phase one has now been reached for two-thirds of the global population.

“Phase two started with California, China and parts of Europe. We expect phase three to be reached on a global scale by 2030.

“As this all plays out, thermal power plants will increasingly be relegated to a balancing role, looking for opportunities to generate when the sun doesn’t shine or the wind doesn’t blow.”

 

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Purdue: As Ransomware Attacks Increase, New Algorithm May Help Prevent Power Blackouts

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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UK windfarms generate record amount of electricity during Storm Malik

UK Wind Power Record as Storm Malik boosts renewable electricity, with National Grid reporting 19,500 megawatts in Scotland, cutting fossil fuel use and easing market prices on the path toward net zero targets.

 

Key Points

An all-time peak in UK wind generation, reaching 19,500 MW during Storm Malik, supplying over half of electricity.

✅ Peak: 19,500 MW, over 50% of UK electricity.

✅ Driven by Storm Malik; strongest winds in Scotland.

✅ Lowered market prices; reduced fossil fuel generation.

 

The UK’s windfarms generated a new record for wind power generation over the weekend as Storm Malik battered parts of Scotland and northern England.

Wind speeds of up to 100 miles an hour recorded in Scotland's wind farms helped wind power generation to rise to a provisional all-time high of more than 19,500 megawatts – or more than half the UK’s electricity – according to data from National Grid.

National Grid’s electricity system operator said that although it recognised the new milestone towards the UK’s ‘net zero’ carbon future, where wind is leading the power mix according to recent analyses, it was “also thinking of those affected by Storm Malik”.

The deadly storm caused widespread disruption over the weekend, leaving thousands without electricity and killing two people.

Many of the areas affected by Storm Malik were also hit in December by Storm Arwen, which caused the most severe disruption to power supplies since 2005, leaving almost a million homes without power for up to 12 days.

The winter storms have followed a summer of low wind power generation across the UK and Europe, even though wind produced more electricity than coal for the first time in 2016, which caused increased use of gas power plants during a global supply shortfall.

Gas markets around the world reached record highs due to rising demand for gas, and UK electricity prices hit a 10-year high as economies have rebounded from the economic shock of the Covid-19 pandemic. In the UK, electricity market prices reached an all-time high of more than £424.60 a megawatt-hour in September, compared with an average price of £44/MWh in the same month the year before.

The UK’s weekend surge in renewable electricity helped to provide a temporary reprieve from its heavy reliance on fossil fuel generation in recent months, and on some days wind has been the main source of UK electricity, which has caused market prices to reach record highs.

The market price for electricity on Saturday fell to £150.59 pounds a megawatt-hour, the lowest level since 3 January, while UK peak power prices have risen with the price for power on Sunday, when wind was expected to fall, jumping to more than £193.50/MWh.

The new wind generation record bettered a high recorded last year when the gusty May bank holiday weekend recorded 17.6GW.

 

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Lawmakers question FERC licensing process for dams in West Virginia

FERC Hydropower Licensing Dispute centers on FERC authority, Clean Water Act compliance, state water quality certifications, Federal Power Act timelines, and Army Corps dams on West Virginia's Monongahela River licenses.

 

Key Points

An inquiry into FERC's licensing process and state water quality authority for hydropower at Monongahela River dams.

✅ Questions on omitted state water quality conditions

✅ Debate over starting Clean Water Act certification timelines

✅ Potential impacts on states' rights and licensing schedules

 

As federal lawmakers, including Democrats pressing FERC, plan to consider a bill that would expand Federal Energy Regulatory Commission (FERC) licensing authority, questions emerged on Tuesday about the process used by FERC to issue two hydropower licenses for existing dams in West Virginia.

In a letter to FERC Chairman Neil Chatterjee, Democratic leaders of the House Energy and Commerce Committee, as electricity pricing changes were being debated, raised questions about hydropower licenses issued for two dams operated by the U.S. Army Corps of Engineers on the Monongahela River in West Virginia.

U.S. Reps. Frank Pallone Jr. (D-NJ), the ranking member of the Subcommittee on Energy, Bobby Rush (D-IL), the ranking member of the Subcommittee on Environment, and John Sarbanes (D-MD), amid Maryland clean energy enforcement concerns, questioned why FERC did not incorporate all conditions outlined in a West Virginia Department of Environmental Protection water quality certificate into plans for the projects.

“By denying the state its allotted time to review this application and submit requirements on these licenses, FERC is undermining the state’s authority under the Clean Water Act and Federal Power Act to impose conditions that will ensure water quality standards are met,” the letter stated.

The House of Representatives was slated to consider the Hydropower Policy Modernization Act of 2017, H.R. 3043, later in the week. The measure would expand FERC authority over licensing processes, a theme mirrored in Maine's transmission line debate over interstate energy projects. Opponents of the bill argue that the changes would make it more difficult for states to protect their clean water interests.

West Virginia has announced plans to challenge FERC hydropower licenses for the dams on the Monongahela River, echoing Northern Pass opposition seen in New Hampshire.

 

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