BC Hydro completes $20-million upgrade at a Coquitlam substation

Germany's Joint Onshore Wind and Solar Tender invites 200 MW bids in an EEG auction, with PV and onshore wind competing on price per MWh, including grid integration costs and network fees under BNA rules.

Key Points

A BNA-run 200 MW EEG auction where PV and onshore wind compete on price per MWh, including grid integration costs.

✅ 200 MW cap; minimum project size 750 kW

✅ Max subsidy 87.50 per MWh; bids include network costs

✅ Solar capped at 10-20 MW; wind requires prior approval

Germany's Federal Network Agency (BNA) has launched its second joint onshore wind and solar photovoltaic (PV) tender, with a total capacity of 200 MW.

A maximum guaranteed subsidy payment has been set at 87.50 per MWh for both energy sources, which BNA says will have to compete against each other for the lowest price of electricity. According to auction rules, all projects must have a minimum of 750 kW.

The auction is due to be completed on 2 November.

The network regulator has capped solar projects at 10 MW, though this has been extended to 20 MW in some districts, amid calls to remove barriers to PV at the federal level. Onshore wind projects did not receive any such restrictions, though they require approval from Federal Immission Control three weeks prior to the bid date of 11 Octobe

Bids also require network and system integration costs to be included, and similar solicitations have been heavily subscribed, as an over-subscribed Duke Energy solar solicitation in the US market illustrates.

According to Germanys Renewable Energy Act (EEG), two joint onshore wind and solar auctions must take place each year between 2018 and 2021. After this, the government will review the scheme and decide whether to continue it beyond 2021.

The first tender, conducted in April, saw the entire 200 MW capacity given to solar PV projects, reflecting a broader solar power boost in Germany during the energy crisis. Of the 32 contracts awarded, value varied from 39.60 per MWh to 57.60 per MWh. Among the winning bids were five projects in agricultural and grassland sites in Bavaria, totalling 31 MW, and three in Baden-Wrttemberg at 17 MW.

According to the Agency, the joint tender scheme was initiated in an attempt to determine the financial support requirements for wind and solar in technology-specific auctions, however, solar powers sole win in the April auction meant it was met with criticism, even as clean energy accounts for 50% of Germany's electricity today.

The heads of the Federal Solar Industry Association (BSW-Solar) and German Wind Energy Association (BWE) saying the joint tender scheme is unsuitable for the build-out of the two technologies.

A BWE spokesman previously stressed the companys rejection of competition between wind and solar, saying: It is not clear how this could contribute to an economically meaningful balanced energy mix,

Technologies that are in various stages of development must not enter into direct competition with each other. Otherwise, innovation and development potential will be compromised.

Similarly, BSW-Solar president Carsten Krnig said: We are happy for the many solar winners, but consider the experiment a failure. The auction results prove the excellent price-performance ratio of new solar power plants, as solar-plus-storage is cheaper than conventional power in Germany, but not the suitability of joint tenders.

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

Key Points

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

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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European Electricity Market Trends 2020 highlight decarbonisation, rising renewables, EV adoption, shifting energy mix, COVID-19 impacts, fuel switching, hydro, wind and solar growth, gas price dynamics, and wholesale electricity price increases.

Key Points

EU power in 2020 saw lower emissions, more renewables, EV growth, demand shifts, and higher wholesale prices.

✅ Power sector CO2 down 14% on higher renewables, lower coal

✅ Renewables 39% vs fossil 36%; hydro, wind, solar expanded

✅ EV share hit 17%; wholesale prices rose with gas, ETS costs

According to the Market Observatory for Energy DG Energy report, the COVID-19 pandemic and favorable weather conditions are the two key drivers of the trends experienced within the European electricity market in 2020. However, the two drivers were exceptional or seasonal.

The key trends within Europe’s electricity market include:

1. Decrease in power sector’s carbon emissions

As a result of the increase in renewables generation and decrease in fossil-fueled power generation in 2020, the power sector was able to reduce its carbon footprint by 14% in 2020. The decrease in the sector’s carbon footprint in 2020 is similar to trends witnessed in 2019 when fuel switching was the main factor behind the decarbonisation trend.

However, most of the drivers in 2020 were exceptional or seasonal (the pandemic, warm winter, high
hydro generation). However, the opposite is expected in 2021, with the first months of 2021 having relatively cold weather, lower wind speeds and higher gas prices, with stunted hydro and nuclear output also cited, developments which suggest that the carbon emissions and intensity of the power sector could rise.

The European Union is targeting to completely decarbonise its power sector by 2050 through the introduction of supporting policies such as the EU Emissions Trading Scheme, the Renewable Energy Directive and legislation addressing air pollutant emissions from industrial installations, with expectations that low-emissions sources will cover most demand growth in the coming years.

According to the European Environment Agency, Europe halved its power sector’s carbon emissions in 2019 from 1990 levels.

2. Changes in energy consumption

EU consumption of electricity fell by -4% as majority of industries did not operate at full level during the first half of 2020. Although majority of EU residents stayed at home, meaning an increase in residential energy use, rising demand by households could not reverse falls in other sectors of the economy.

However, as countries renewed COVID-19 restrictions, energy consumption during the 4th quarter was closer to the “normal levels” than in the first three quarters of 2020. 

The increase in energy consumption in the fourth quarter of 2020 was also partly due to colder temperatures compared to 2019 and signs of surging electricity demand in global markets.

3. Increase in demand for EVs

As the electrification of the transport system intensifies, the demand for electric vehicles increased in 2020 with almost half a million new registrations in the fourth quarter of 2020. This was the highest figure on record and translated into an unprecedented 17% market share, more than two times higher than in China and six times higher than in the United States.

However, the European Environment Agency (EEA)argues that the EV registrations were lower in 2020 compared to 2019. EEA states that in 2019, electric car registrations were close to 550 000 units, having reached 300 000 units in 2018.

4. Changes in the region’s energy mix and increase in renewable energy generation

The structure of the region’s energy mix changed in 2020, according to the report.

Owing to favorable weather conditions, hydro energy generation was very high and Europe was able to expand its portfolio of renewable energy generation such that renewables (39%) exceeded the share of fossil fuels (36%) for the first time ever in the EU energy mix.

Rising renewable generation was greatly assisted by 29 GW of wind and solar capacity additions in 2020, which is comparable to 2019 levels. Despite disrupting the supply chains of wind and solar resulting in project delays, the pandemic did not significantly slow down renewables’ expansion.

In fact, coal and lignite energy generation fell by 22% (-87 TWh) and nuclear output dropped by 11% (-79 TWh). On the other hand, gas energy generation was not significantly impacted owing to favorable prices which intensified coal-to-gas and lignite-to-gas switching, even as renewables crowd out gas in parts of the market.

5. Retirement of coal energy generation intensify

 As the outlook for emission-intensive technologies worsens and carbon prices rise, more and more early coal retirements have been announced. Utilities in Europe are expected to continue transitioning from coal energy generation under efforts to meet stringent carbon emissions reduction targets and as they try to prepare themselves for future business models that they anticipate to be entirely low-carbon reliant.

6. Increase in wholesale electricity prices

In recent months, more expensive emission allowances, along with rising gas prices, have driven up wholesale electricity prices on many European markets to levels last seen at the beginning of 2019. The effect was most pronounced in countries that are dependent on coal and lignite. The wholesale electricity prices dynamic is expected to filter through to retail prices.

The rapid sales growth in the EVs sector was accompanied by expanding charging infrastructure. The number of high-power charging points per 100 km of highways rose from 12 to 20 in 2020.

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Peterborough Distribution Inc. Sale to Hydro One delivers a $105 million deal pending Ontario Energy Board approval, a 1% distribution rate cut, five-year rate freeze, job protections, and a new operations centre and fleet facility.

Key Points

A $105M acquisition of PDI by Hydro One, with OEB review, rate freeze, job protections, and a new operations centre.

✅ $105 million purchase; Ontario Energy Board approval required

✅ 1% distribution rate cut and a five-year rate freeze

✅ New operations centre; PDI employees offered roles at Hydro One

The City of Peterborough said Wednesday it has agreed to sell Peterborough Distribution Inc. to Hydro One for $105 million, amid a period when Hydro One shares fell after leadership changes.

The deal requires approval from the Ontario Energy Board before it can proceed.

According to the city, the deal includes a one per cent distribution rate reduction and a five-year freeze in distribution rates for customers, plus:

• A second five-year period with distribution rate increases limited to inflation and an earnings sharing mechanism to offset rates in year 11 and onward
• Protections for PDI employees with employees receiving employment offers to move to Hydro One
• A sale price of $105 million
• An agreement to develop a regional operations centre and new fleet maintenance facility in Peterborough

“Hydro One was unique in its ability to offer new investment and job creation in our community through the addition of a new operations centre to serve customers throughout the broader region,” Mayor Daryl Bennett said.

“We’re surrounded by Hydro One territory — in fact, we already have Hydro One customers within the City of Peterborough and new subdivisions will be in Hydro One territory. Hydro One will be able to create efficiencies by better utilizing its existing infrastructure, benefiting customers and supporting growth.”

The sale comes after months of negotiations amid investor concerns about Hydro One’s uncertainties. At one point, it looked like the sale wouldn’t go through, after it was announced that Hydro One had walked away from the bargaining table.

City council approved the sale of PDI in December 2016, despite a strong public opposition and debate over proposals to make hydro public again among some parties.

Elsewhere in Canada, political decisions around utilities have also sparked debate, as seen when Manitoba Hydro faced controversy over policy shifts.

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Expanded Hoa Binh Hydropower Plant increases EVN capacity with 480MW turbines, commercial loan financing, grid stability, flood control, and Da River reliability, supported by PECC1 feasibility work and CMSC collaboration on site clearance.

Key Points

A 480MW EVN expansion on the Da River to enhance grid stability, flood control, and seasonal water supply in Vietnam.

✅ 480MW, two turbines, EVN-led financing without guarantees

✅ Improves frequency modulation and national grid stability

✅ Supports flood control and dry-season water supply

The extended Hoa Binh Hydropower Plant, which is expected to break ground in October 2020, is considered the largest power project to be constructed this year, even as Vietnam advances a mega wind project planned for 2025.

Covering an area of 99.2 hectares, the project is invested by Electricity of Vietnam (EVN). Besides, Vietnam Electricity Power Projects Management Board No.1 (EVNPMB1) is the representative of the investor and Power Engineering Consulting JSC 1 (EVNPECC1) is in charge of building the feasibility report for the project. The expanded Hoa Binh Hydro Power Plant has a total investment of VND9.22 trillion ($400.87 million), 30 per cent of which is EVN’s equity and the remaining 70 per cent comes from commercial loans without a government guarantee.

According to the initial plan, EVN will begin the construction of the project in the second quarter of this year and is expected to take the first unit into operation in the third quarter of 2023, a timeline reminiscent of Barakah Unit 1 reaching full power, and the second one in the fourth quarter of the same year.

Chairman of the Committee for Management of State Capital at Enterprises (CMSC) Nguyen Hoang Anh said that in order to start the construction in time, CMSC will co-operate with EVN to work with partners as well as local and foreign banks to mobilise capital, reflecting broader nuclear project milestones across the energy sector.

In addition, EVN will co-operate with Hoa Binh People’s Committee to implement site clearance, remove Ba Cap port and select contractors.

Once completed, the project will contribute to preventing floods in the rainy season and supply water in the dry season. The plant expansion will include two turbines with the total capacity of 480MW, similar in scale to the 525-MW hydropower station China is building on a Yangtze tributary, and electricity output of about 488.3 million kWh per year.

In addition, it will help improve frequency modulation capability and stabilise the frequency of the national electricity system through approaches like pumped storage capacity, and reduce the working intensity of available turbines of the plant, thus prolonging the life of the equipment and saving maintenance and repair costs.

Built in the Da River basin in the northern mountainous province of Hoa Binh, at the time of its conception in 1979, Hoa Binh was the largest hydropower plant in Southeast Asia, while projects such as China’s Lawa hydropower station now dwarf earlier benchmarks.

The construction was supported by the Soviet Union all the way through, designing, supplying equipment, supervising, and helping it go on stream. Construction began in November 1979 and was completed 15 years later in December 1994, when it was officially commissioned, similar to two new BC generating stations recently brought online.

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Utility Battery Storage Rankings measure grid-connected capacity, not ownership, highlighting MW, MWh, and watts per customer across PJM, MISO, and California IOUs, featuring Duke Energy, IPL, ancillary services, and frequency regulation benefits.

Key Points

Rankings that track energy storage connected to utility grids, comparing MW, MWh, and W/customer rather than ownership.

✅ Ranks by MW, MWh, and watts per customer, not asset ownership

✅ Highlights PJM, MISO cases and California IOUs' deployments

✅ Examples: Duke Energy, IPL, IID; ancillary services, frequency response

The rankings do not tally how much energy storage a utility built or owns, but how much was connected to their system. So while IPL built and owns the storage facility in its territory, Duke does not own the 16 MW of storage that connected to its system in 2016. Similarly, while California’s utilities are permitted to own some energy storage assets, they do not necessarily own all the storage facilities connected to their systems.

Measured by energy (MWh), IPL ranked fourth with 20 MWh, and Duke Energy Ohio ranked eighth with 6.1 MWh.

Ranked by energy storage watts per customer, IPL and Duke actually beat the California utilities, ranking fifth and sixth with 42 W/customer and 23 W/customer, respectively.

Duke ready for next step

Given Duke’s plans, including projects in Florida that are moving ahead, the utility is likely to stay high in the rankings and be more of a driving force in development. “Battery technology has matured, and we are ready to take the next step,” Duke spokesman Randy Wheeless told Utility Dive. “We can go to regulators and say this makes economic sense.”

Duke began exploring energy storage in 2012, and until now most of its energy storage efforts were focused on commercial projects in competitive markets where it was possible to earn revenues. Those included its 36 MW Notrees battery storage project developed in partnership with the Department of Energy in 2012 that provides frequency regulation for the Electric Reliability Council of Texas market and two 2 MW storage projects at its retired W.C. Beckjord plant in New Richmond, Ohio, that sells ancillary services into the PJM Interconnection market.

On the regulated side, most of Duke’s storage projects have had “an R&D slant to them,” Wheeless said, but “we are moving beyond the R&D concept in our regulated territory and are looking at storage more as a regulated asset.”

“We have done the demos, and they have proved out,” Wheeless said. Storage may not be ready for prime time everywhere, he said, but in certain locations, especially where it can it can be used to do more than one thing, it can make sense.

Wheeless said Duke would be making “a number of energy storage announcements in the next few months in our regulated states.” He could not provide details on those projects.

More flexible resources
Location can be a determining factor when building a storage facility. For IPL, serving the wholesale market was a driving factor in the rationale to build its 20 MW, 20 MWh storage facility in Indianapolis.

IPL built the project to address a need for more flexible resources in light of “recent changes in our resource mix,” including decreasing coal-fired generation and increasing renewables and natural gas-fired generation, as other regions plan to rely on battery storage to meet rising demand, Joan Soller, IPL’s director of resource planning, told Utility Dive in an email. The storage facility is used to provide primary frequency response necessary for grid stability.

The Harding Street storage facility in May. It was the first energy storage project in the Midcontinent ISO. But the regulatory path in MISO is not as clear as it is in PJM, whereas initiatives such as Ontario storage framework are clarifying participation. In November, IPL with the Federal Energy Regulatory Commission, asking the regulator to find that MISO’s rules for energy storage are deficient and should be revised.

Soller said IPL has “no imminent plans to install energy storage in the future but will continue to monitor battery costs and capabilities as potential resources in future Integrated Resource Plans.”

California legislative and regulatory push

In California, energy storage did not have to wait for regulations to catch up with technology. With legislative and regulatory mandates, including CEC long-duration storage funding announced recently, as a push, California’s IOUs took high places in SEPA’s rankings.

Southern California Edison and San Diego Gas & Electric were first and fourth (63.2 MW and 17.2 MW), respectively, in terms of capacity. SoCal Ed and SDG&E were first and second (104 MWh and 28.4 MWh), respectively, and Pacific Gas and Electric was fifth (17 MWh) in terms of energy.

But a public power utility, the Imperial Irrigation District (IID), ended up high in the rankings – second in capacity (30 MW) and third  in energy (20 MWh) – even though as a public power entity it is not subject to the state’s energy storage mandates.

But while IID was not under state mandate, it had a compelling regulatory reason to build the storage project. It was part of a settlement reached with FERC over a September 2011 outage, IID spokeswoman Marion Champion said.

IID agreed to a $12 million fine as part of the settlement, of which $9 million was applied to physical improvements of IID’s system.

IID ended up building a 30 MW, 20 MWh lithium-ion battery storage system at its El Centro generating station. The system went into service in October 2016 and in May, IID used the system’s 44 MW combined-cycle natural gas turbine at the generating station.

Passing savings to customers
The cost of the storage system was about $31 million, and based on its experience with the El Centro project, Champion said IID plans to add to the existing batteries. “We are continuing to see real savings and are passing those savings on to our customers,” she said.

Champion said the battery system gives IID the ability to provide ancillary services without having to run its larger generation units, such as El Centro Unit 4, at its minimum output. With gas prices at $3.59 per million British thermal units, it costs about $26,880 a day to run Unit 4, she said.

IID’s territory is in southeastern California, an area with a lot of renewable resources. IID is also not part of the California ISO and acts as its own balancing authority. The battery system gives the utility greater operational flexibility, in addition to the ability to use more of the surrounding renewable resources, Champion said.

In May, IID’s board gave the utility’s staff approval to enter into contract negotiations for a 7 MW, 4 MWh expansion of its El Centro storage facility. The negotiations are ongoing, but approval could come in the next couple months, Champion said.

The heart of the issue, though, is “the ability of the battery system to lower costs for our ratepayers,” Champion said. “Our planning section will continue to utilize the battery, and we are looking forward to its expansion,” she said.” I expect it will play an even more important role as we continue to increase our percentage of renewables.”

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