Why Fort Frances wants to build an integrated microgrid to deliver its electricity


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Fort Frances Microgrid aims to boost reliability in Ontario with grid-connected and island modes, Siemens feasibility study, renewable energy integration, EV charging expansion, and resilience modeled after First Nations projects and regional biomass initiatives.

 

Key Points

A community microgrid in Fort Frances enabling grid and island modes to improve reliability and integrate renewables.

✅ Siemens-led feasibility via FedNor funding

✅ Grid-connected or islanded for outage resilience

✅ Integrates renewables, EV charging, and industry growth

 

When the power goes out in Fort Frances, Ont., the community may be left in the dark for hours.

The hydro system's unreliability — caused by its location on the provincial power grid — has prompted the town to seek a creative solution: its own self-contained electricity grid with its own source of power, known as a microgrid. 

Located more than 340 kilometres west of Thunder Bay, Ont., on the border of Minnesota, near the Great Northern Transmission Line corridor, Fort Frances gets its power from a single supply point on Ontario's grid. 

"Sometimes, it's inevitable that we have to have like a six- to eight-hour power outage while equipment is being worked on, and that is no longer acceptable to many of our customers," said Joerg Ruppenstein, president and chief executive officer of Fort Frances Power Corporation.

While Ontario's electrical grid serves the entire province, and national efforts explore macrogrids, a microgrid is contained within a community. Fort Frances hopes to develop an integrated, community-based electric microgrid system that can operate in two modes:

  • Grid-connected mode, which means it's connected to the provincial grid and informed by western grid planning approaches
  • Island mode, which means it's disconnected from the provincial grid and operates independently

The ability to switch between modes allows flexibility. If a storm knocks down a line, the community will still have power.

The town has been given grant funding from the Federal Economic Development Agency for Northern Ontario (FedNor), echoing smart grid funding in Sault Ste. Marie initiatives, for the project. On Monday night, council voted to grant a request for proposal to Siemens Canada Limited to conduct a feasibility study into a microgrid system.

The study, anticipated to be completed by the end of 2023 or early 2024, will assess what an integrated community-based microgrid system could look like in the town of just over 7,000 people, said Faisal Anwar, chief administrative officer of Fort Frances. A timeline for construction will be determined after that. 

The community is still reeling from the closure of the Resolute Forest Products pulp and paper mill in 2014 and faces a declining population, said Ruppenstein. It's hoped the microgrid system will help attract new industry to replace those lost workers and jobs, drawing on Manitoba's hydro experience as a model.

This gives the town a competitive advantage.

"If we were conceivably to attract a larger industrial player that would consume a considerable amount of energy, it would result in reduced rates for everyone…we're the only utility really in Ontario that can offer that model," Ruppenstein said.

The project can also incorporate renewable energy like solar or wind power, as seen in B.C.'s clean energy shift efforts, into the microgrid system, and support the growth of electric vehicles, he said. Many residents fill their gas tanks in Minnesota because it's cheaper, but Fort Frances has the potential to become a hub for electric vehicle charging.

A few remote First Nations have recently switched to microgrid systems fuelled by green energy, including Gull Bay First Nation and Fort Severn First Nation. These are communities that have historically relied on diesel fuel either flown in, which is incredibly expensive, or transported via ice roads, which are seeing shorter seasons each year.

Natural Resources Minister Jonathan Wilkinson was in Thunder Bay, Ont., to announce $35 million for a biomass generation facility in Whitesand First Nation, complementing federal funding for the Manitoba-Saskatchewan transmission line elsewhere in the region.

 

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Wind and solar make more electricity than nuclear for first time in UK

UK Renewables Surpass Nuclear Milestone as wind farms and solar panels outpace atomic output, cutting greenhouse gas emissions. BEIS data show low-carbon power generation rising while onshore wind subsidies and auction timelines face policy debate.

 

Key Points

It is the quarter when UK wind and solar generated more electricity than nuclear, signaling cleaner, low-carbon growth.

✅ BEIS reports wind and solar at 18.33 TWh vs nuclear 16.69 TWh

✅ Energy sector emissions fell 8% as coal use dropped

✅ Calls grow to reopen onshore wind support via CFD auctions

 

Wind farms and solar panels, with wind leading the power mix during key periods, produced more electricity than the UK’s eight nuclear power stations for the first time at the end of last year, official figures show.

Britain’s greenhouse gas emissions also continued to fall, dropping 3% in 2017, as coal use fell and the use of renewables climbed, though low-carbon generation stalled in 2019 according to later data.

Energy experienced the biggest drop in emissions of any UK sector, of 8%, while pollution from transport and businesses stayed flat.

Energy industry chiefs said the figures showed that the government should rethink its ban on onshore wind subsidies, a move that ministers have hinted could happen soon.

Lawrence Slade, chief executive of the big six lobby group Energy UK, said: “We need to keep up the pace ... by ensuring that the lowest cost renewables are no longer excluded from the market.”

Across the whole year, low-carbon sources of power – wind, solar, biomass and nuclear – provided a record 50.4% of electricity, up from 45.7% in 2016, when wind beat coal for the first time.

But in the fourth quarter of 2017, high wind speeds, new renewables installations and lower nuclear output saw wind and solar becoming the second biggest source of power for the first time.

Wind and solar generated 18.33 terawatt hours (TWh), with nuclear on 16.69TWh, and the UK later set a new record for wind power during 2019, the figures published by the Department for Business, Energy and Industrial Strategy show.

But renewables still have a long way to go to catch up with gas, the UK’s top source of electricity at 36.12TWh, which saw its share of generation fall slightly, though at times wind became the main source as capacity expanded.

Greenpeace said the figures showed the government should capitalise on its lead in renewables and “stop wasting time and money propping up nuclear power”.

Horizon Nuclear Power, a subsidiary of the Japanese conglomerate Hitachi, is in talks with Whitehall officials for a financial support package from the government, which it says it needs by midsummer.

By contrast, large-scale solar and onshore wind projects are not eligible for support, after the Conservative government cut subsidies in 2015.

However the energy minister, Claire Perry, recently told House Magazine that “we will have another auction that brings forward wind and solar, we just haven’t yet said when”.

 

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Power grab: 5 arrested after Hydro-Québec busts electricity theft ring

Hydro-Qubec Electricity Theft Ring exposed after a utility investigation into identity theft, rental property fraud, and conspiracies using stolen customer data; arrests, charges, and a tip line highlight ongoing enforcement.

 

Key Points

A five-year identity-theft scheme defrauding Hydro-Qubec through utility accounts leading to arrests and fraud charges.

✅ Five arrests; 25 counts: fraud, conspiracy, identity theft

✅ Losses up to $300,000 in electricity, 2014-2019

✅ Tip line: 1-877-816-1212 for suspected Hydro-Qubec fraud

 

Five people have been arrested in connection with an electricity theft ring alleged to have operated for five years, a pattern seen in India electricity theft arrests as well.

The thefts were allegedly committed by the owners of rental properties who used stolen personal information to create accounts with Hydro-Québec, which also recently dealt with a manhole fire outage affecting thousands.

The utility alleges that between 2014 and 2019, Mario Brousseau, Simon Brousseau-Ouellette and their accomplices defrauded Hydro-Québec of up to $300,000 worth of electricity, highlighting concerns about consumption trends as residential electricity use rose during the pandemic. It was impossible for Hydro-Québec’s customer service section to detect the fraud because the information on the accounts, while stolen, was also genuine, even as the utility reported pandemic-related losses later on.

The suspects are expected to face 25 counts of fraud, conspiracy and identity theft, issues that Ontario utilities warn about regularly.

Hydro-Québec noted the thefts were detected through an investigation by the utility into 10 fraud cases, a process that can lead to retroactive charges for affected accounts.

Anyone concerned that a fraud is being committed against Hydro-Québec, or wary of scammers threatening shutoffs, is urged to call 1-877-816-1212.

 

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Tackling climate change with machine learning: Covid-19 and the energy transition

Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

 

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

 

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

 

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

 

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

 

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

 

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

 

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Ambitious clean energy target will mean lower electricity prices, modelling says

Australia Clean Energy Target drives renewables in the National Electricity Market, with RepuTex modelling and the Finkel Review showing lower wholesale prices and emissions as gas generators set prices less often under ambitious targets.

 

Key Points

Policy boosting low emissions generation to cut electricity emissions and lower wholesale prices across Australia.

✅ Ambitious targets lower wholesale prices through added generation

✅ RepuTex modelling shows renewables displace costly gas peakers

✅ Finkel Review suggests CET cuts emissions and boosts reliability

 

The more ambitious a clean energy target is, the lower Australian wholesale electricity prices will be, according to new modelling by energy analysis firm RepuTex.

The Finkel review, released last month recommended the government introduce a clean energy target (CET), which it found would cut emissions from the national electricity market and put downward pressure on both wholesale and retail prices, aligning with calls to favor consumers over generators in market design.

The Finkel review only modelled a CET that would cut emissions from the electricity sector by 28% below 2005 levels by 2030. But all available analysis has demonstrated that such a cut would not be enough to meet Australia’s overall emissions reductions made as part of the Paris agreement, which themselves were too weak to help meet the central aim of that agreement – to keep global warming to “well below 2C”.

RepuTex modelled the effect of a CET that cut emissions from the electricity sector by 28% – like that modelled in the Finkel Review – as well as one it said was consistent with 2C of global warming, which would cut emissions from electricity by 45% below 2005 levels by 2030.

It found both scenarios caused wholesale prices to drop significantly compared to doing nothing, despite IEA warnings on falling energy investment that could lead to shortages, with the more ambitious scenario resulting in lower wholesale prices between 2025 and 2030.

In the “business as usual scenario”, RepuTex found wholesale prices would hover roughly around the current price of $100 per MWh.

Under a CET that reduced electricity emissions by 28%, prices would drop to under $40 around 2023, and then rise to nearly $60 by 2030.

The more ambitious CET had a broadly similar effect on wholesale prices. But RepuTex found it would drive prices down a little slower, but then keep them down for longer, stabilising at about $40 to $50 for most of the 2020s.

It found a CET would drive prices down by incentivising more generation into the market. The more ambitious CET would further suppress prices by introducing more renewable energy, resulting in expensive gas generators less often being able to set the price of electricity in the wholesale market, a dynamic seen with UK natural gas price pressures recently.

The downward pressure of a CET on wholesale prices was more dramatic in the RepuTex report than in Finkel’s own modelling. But that was largely because, as Alan Finkel himself acknowledged, the estimates of the costs of renewable energy in the Finkel review modelling were conservative.

Speaking at the National Press Club, Finkel said: “We were conservative in our estimates of wind and large-scale solar generator prices. Indeed, in recent months the prices for wind generation have already come in lower than what we modelled.”

The RepuTex modelling also found the economics of the national electricity market no longer supported traditional baseload generation – such as coal power plants that were unable to respond flexibly to demand, with debates over power market overhauls in Alberta underscoring similar tensions – and so they would not be built without the government distorting the market.

“With a premium placed on flexible generation that can ramp up or down, baseload only generation – irrespective of how clean or dirty it is – is likely to be too inflexible to compete in Australia’s future electricity system,” the report said.

“In this context, renewable energy remains attractive to the market given it is able to deliver energy reliability, with no emissions, at low cost prices, with clean grid and battery trends in Canada informing the shift for policymakers. This affirms that renewables are a lay down misere to out-compete traditionally fossil-fuel sources in Australia for the foreseeable future.”

 

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Swiss Earthquake Service and ETH Zurich aim to make geothermal energy safer

Advanced Traffic Light System for Geothermal Safety models fracture growth and friction with rock physics, geophones, and supercomputers to predict induced seismicity during hydraulic stimulation, enabling real-time risk control for ETH Zurich and SED.

 

Key Points

ATLS uses rock physics, geophones, and HPC to forecast induced seismicity in real time during geothermal stimulation.

✅ Real-time seismic risk forecasts during hydraulic stimulation

✅ Uses rock physics, friction, and fracture modeling on HPC

✅ Supports ETH Zurich and SED field tests in Iceland and Bedretto

 

The Swiss Earthquake Service and ETH Zurich want to make geothermal energy safer, so news piece from Switzerland earlier this month. This is to be made possible by new software, including machine learning, and the computing power of supercomputers. The first geothermal tests have already been carried out in Iceland, and more will follow in the Bedretto laboratory.

In areas with volcanic activity, the conditions for operating geothermal plants are ideal. In Iceland, the Hellisheidi power plant makes an important contribution to sustainable energy use, alongside innovations like electricity from snow in cold regions.

Deep geothermal energy still has potential. This is the basis of the 2050 energy strategy. While the inexhaustible source of energy in volcanically active areas along fault zones of the earth’s crust can be tapped with comparatively little effort and, where viable, HVDC transmission used to move power to demand centers, access on the continents is often much more difficult and risky. Because the geology of Switzerland creates conditions that are more difficult for sustainable energy production.

Improve the water permeability of the rock

On one hand, you have to drill four to five kilometers deep to reach the correspondingly heated layers of earth in Switzerland. It is only at this depth that temperatures between 160 and 180 degrees Celsius can be reached, which is necessary for an economically usable water cycle. On the other hand, the problem of low permeability arises with rock at these depths. “We need a permeability of at least 10 millidarcy, but you can typically only find a thousandth of this value at a depth of four to five kilometers,” says Thomas Driesner, professor at the Institute of Geochemistry and Petrology at ETH Zurich.

In order to improve the permeability, water is pumped into the subsurface using the so-called “fracture”. The water acts against friction, any fracture surfaces shift against each other and tensions are released. This hydraulic stimulation expands fractures in the rock so that the water can circulate in the hot crust. The fractures in the earth’s crust originate from tectonic tensions, caused in Switzerland by the Adriatic plate, which moves northwards and presses against the Eurasian plate.

In addition to geothermal energy, the “Advanced Traffic Light System” could also be used in underground construction or in construction projects for the storage of carbon dioxide.

Quake due to water injection

The disadvantage of such hydraulic stimulations are vibrations, which are often so weak or cannot be perceived without measuring instruments. But that was not the case with the geothermal projects in St. Gallen 2013 and Basel 2016. A total of around 11,000 cubic meters of water were pumped into the borehole in Basel, causing the pressure to rise. Using statistical surveys, the magnitudes 2.4 and 2.9 defined two limit values ??for the maximum permitted magnitude of the earthquakes generated. If these are reached, the water supply is stopped.

In Basel, however, there was a series of vibrations after a loud bang, with a time delay there were stronger earthquakes, which startled the residents. In both cities, earthquakes with a magnitude greater than 3 have been recorded. Since then it has been clear that reaching threshold values ??determines the stop of the water discharge, but this does not guarantee safety during the actual drilling process.

Simulation during stimulation

The Swiss Seismological Service SED and the ETH Zurich are now pursuing a new approach that can be used to predict in real time, building on advances by electricity prediction specialists in Europe, during a hydraulic stimulation whether noticeable earthquakes are expected in the further course. This is to be made possible by the so-called “Advanced Traffic Light System” based on rock physics, a software developed by the SED, which carries out the analysis on a high-performance computer.

Geophones measure the ground vibrations around the borehole, which serve as indicators for the probability of noticeable earthquakes. The supercomputer then runs through millions of possible scenarios, similar to algorithms to prevent power blackouts during ransomware attacks, based on the number and type of fractures to be expected, the friction and tensions in the rock. Finally, you can filter out the scenario that best reflects the underground.

Further tests in the mountain

However, research is currently still lacking any real test facility for the system, because incorrect measurements must be eliminated and a certain data format adhered to before the calculations on the supercomputer. The first tests were carried out in Iceland last year, with more to follow in the Bedretto geothermal laboratory in late summer, where reliable backup power from fuel cell solutions can keep instrumentation running. An optimum can now be found between increasing the permeability of rock layers and an adequate water supply.

The new approach could make geothermal energy safer and ultimately help this energy source to become more accepted, while grid upgrades like superconducting cables improve efficiency. Research also sees areas of application wherever artificially caused earthquakes can occur, such as in underground mining or in the storage of carbon dioxide underground.

 

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Bruce Power cranking out more electricity after upgrade

Bruce Power Capacity Uprate boosts nuclear output through generator stator upgrades, turbine and transformer enhancements, and cooling pump improvements at Bruce A and B, unlocking megawatts and efficiency gains from legacy heavy water design capacity.

 

Key Points

Upgrades that raise Bruce Power capacity via stator, turbine, transformer, and cooling enhancements.

✅ Generator stator replacement increases electrical conversion efficiency

✅ Turbine and transformer upgrades enable higher MW output

✅ Cooling pump enhancements optimize plant thermal performance

 

Bruce Power’s Unit 3 nuclear reactor will squeeze out an extra 22 megawatts of electricity, thanks to upgrades during its recent planned outage for refurbishment.

Similar gains are anticipated at its three sister reactors at Bruce A generating station, which presents the opportunity for the biggest efficiency gains and broader economic benefits for Ontario, due to a design difference over Bruce B’s four reactors, Bruce Power spokesman John Peevers said.

Bruce A reactor efficiency gains stem mainly from the fact Bruce A’s non-nuclear side, including turbines and the generator, was sized at 88 per cent of the nuclear capacity, Peevers said, while early Bruce C exploration work advances.

This allowed 12 per cent of the energy, in the form of steam, to be used for heavy water production, which was discontinued at the plant years ago. Heavy water, or deuterium, is used to moderate the reactors.

That design difference left a potential excess capacity that Bruce Power is making use of through various non-nuclear enhancements. But the nuclear operator, which also made major PPE donations during the pandemic, will be looking at enhancements at Bruce B as well, Peevers said.

Bruce Power’s efficiency gain came from “technology advancements,” including a “generator-stator improvement project that was integral to the uprate,” and contributed to an operating record at the site, a Bruce Power news release said July 11.

Peevers said the stationary coils and the associated iron cores inside the generator are referred to as the stator. The stator acts as a conductor for the main generator current, while the turbine provides the mechanical torque on the shaft of the generator.

“Some of the other things we’re working on are transformer replacement and cooling pump enhancements, backed by recent manufacturing contracts, which also help efficiency and contribute to greater megawatt output,” Peevers said.

The added efficiency improvements raised the nuclear operator’s peak generating capacity to 6,430 MW, as projects like Pickering life extensions continue across Ontario.

 

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