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India Solar Slowdown and Coal Surge highlights policy uncertainty, grid stability concerns, financing gaps, and land acquisition issues affecting renewable energy, emissions targets, energy security, storage deployment, and tendering delays across the solar value chain.

Key Points

Analysis of slowed solar growth and rising coal in India, examining policy, grid, finance, and emissions tradeoffs.

✅ Policy uncertainty and tender delays stall solar pipelines

✅ Grid bottlenecks, storage gaps, and curtailment risks persist

✅ Financing strains and DISCOM payment delays dampen investment

India, a global leader in renewable energy adoption where renewables surpassed coal in capacity recently, faces a pivotal moment as the growth of solar power output decelerates while coal generation sees an unexpected surge. This article examines the factors contributing to this shift, its implications for India's energy transition, and the challenges and opportunities it presents.

India's Renewable Energy Ambitions

India has set ambitious targets to expand its renewable energy capacity, including a goal to achieve 175 gigawatts (GW) of renewable energy by 2022, with a significant portion from solar power. Solar energy has been a focal point of India's renewable energy strategy, as documented in on-grid solar development studies, driven by falling costs, technological advancements, and environmental imperatives to reduce greenhouse gas emissions.

Factors Contributing to Slowdown in Solar Power Growth

Despite initial momentum, India's solar power growth has encountered several challenges that have contributed to a slowdown. These include policy uncertainties, regulatory hurdles, land acquisition issues, and financial constraints affecting project development and implementation, even as China's solar PV growth surged in recent years. Delays in tendering processes, grid connectivity issues, and payment delays from utilities have also hindered the expansion of solar capacity.

Surge in Coal Generation

Concurrently, India has witnessed an unexpected increase in coal generation in recent years. Coal continues to dominate India's energy mix, accounting for a significant portion of electricity generation due to its reliability, affordability, and existing infrastructure, even as wind and solar surpassed coal in the U.S. in recent periods. The surge in coal generation reflects the challenges in scaling up renewable energy quickly enough to meet growing energy demand and address grid stability concerns.

Implications for India's Energy Transition

The slowdown in solar power growth and the rise in coal generation pose significant implications for India's energy transition and climate goals. While renewable energy remains central to India's long-term energy strategy, and as global renewables top 30% of electricity generation worldwide, the persistence of coal-fired power plants complicates efforts to reduce carbon emissions and mitigate climate change impacts. Balancing economic development, energy security, and environmental sustainability remains a complex challenge for policymakers.

Challenges and Opportunities

Addressing the challenges facing India's solar sector requires concerted efforts to streamline regulatory processes, improve grid infrastructure, and enhance financial mechanisms to attract investment. Encouraging greater private sector participation, promoting technology innovation, and expanding renewable energy storage capacity are essential to overcoming barriers and accelerating solar power deployment, as wind and solar have doubled their global share in recent years, demonstrating the pace possible.

Policy and Regulatory Framework

India's government plays a crucial role in fostering a conducive policy and regulatory framework to support renewable energy growth and phase out coal dependence, particularly as renewable power is set to shatter records worldwide. This includes implementing renewable energy targets, providing incentives for solar and other clean energy technologies, and addressing systemic barriers that hinder renewable energy adoption.

Path Forward

To accelerate India's energy transition and achieve its renewable energy targets, stakeholders must prioritize integrated energy planning, grid modernization, and sustainable development practices. Investing in renewable energy infrastructure, promoting energy efficiency measures, and fostering international collaboration on technology transfer and capacity building are key to unlocking India's renewable energy potential.

Conclusion

India stands at a crossroads in its energy transition journey, balancing the need to expand renewable energy capacity while managing the challenges associated with coal dependence. By addressing regulatory barriers, enhancing grid reliability, and promoting sustainable energy practices, India can navigate towards a more diversified and resilient energy future. Embracing innovation, strengthening policy frameworks, and fostering public-private partnerships will be essential in realizing India's vision of a cleaner, more sustainable energy landscape for generations to come.

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US Electricity Demand Outlook examines EIA forecasts, GDP decoupling, energy efficiency, electrification, electric vehicles, grid load growth, and weather variability to frame long term demand trends and utility planning scenarios.

Key Points

An analysis of EIA projections showing demand decoupling from GDP, with EV adoption and efficiency shaping future grid load.

✅ EIA lowers load growth; demand decouples from GDP.

✅ Efficiency and sector shifts depress kWh sales.

✅ EV adoption could revive load and capacity needs.

Electricity producers and distributors are in an unusual business. The product they provide is available to all customers instantaneously, literally at the flip of a switch. But the large amount of equipment, both hardware and software to do this takes years to design, site and install.

From a long range planning perspective, just as important as a good engineering design is an accurate sales projections. For the US electric utility industry the most authoritative electricity demand projec-tions come from the Department of Energy’s Energy Information Administration (EIA). EIA's compre-hensive reports combine econometric analysis with judgment calls on social and economic trends like the adoption rate of new technologies that could affect future electricity demand, things like LED light-ing and battery powered cars, and the rise of renewables overtaking coal in generation.

Before the Great Recession almost a decade ago, the EIA projected annual growth in US electricity production at roughly 1.5 percent per year. After the Great Recession began, the EIA lowered its projections of US electricity consumption growth to below 1 percent. Actual growth has been closer to zero. While the EIA did not antici-pate the last recession or its aftermath, we cannot fault them on that.

After the event, though, the EIA also trimmed its estimates of economic growth. For the 2015-2030 period it now predicts 2.1 percent economic and 0.3 percent electricity growth, down from previously projections of 2.7 percent and 1.3 percent respectively. (See Figures 1 and 2.)

Table 1. EIA electric generation projections by year of forecast (kWh billions)

Table 2. EIA forecast of GDP by year of forecast (billion 2009 $)

Back in 2007, the EIA figured that every one percent increase in economic activity required a 0.48 percent in-crease in electric generation to support it. By 2017, the EIA calculated that a 1 percent growth in economic activity now only required a 0.14 percent increase in electric output. What accounts for such a downgrade or disconnect between electricity usage and economic growth? And what factors might turn the numbers 
around?

First, the US economy lost energy intensive heavy industry like smelting, steel mills and refineries; patterns in China's electricity sector highlight how industrial shifts can reshape power demand. A more service oriented economy (think health care) relies more heavily on the movement of data or information and uses far less power than a manufacturing-oriented economy.

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Second, internet shopping has hurt so-called "brick and mortar" retailers. Despite the departure of heavy industry, in years past a burgeoning US commercial sector increased its demand and usage of electricity to offset the industrial decline. But not anymore. Energy efficiency measures as well as per-haps greater concern about global warming and greenhouse gas emissions and have cut into electricity sales. “Do more with less” has the right ring to it.

But there may be other components to the ongoing decline in electricity usage. Academic studies show that electricity usage seems to increase with income along an S curve, and flattens out after a certain income level. That is, if you earn $1 billion per year you do not (or cannot) use ten times a much electricity as someone earning only $100 million.

But people at typical, middle income levels increase or decrease electricity usage when incomes rise or fall. The squeeze on middle income families was discussed often in the late presidential campaign. In recent decades an increasing percentage of income has gone to a small percentage of the population at the top of the income scale. This trend probably accounts for some weakness in residential sales. This suggests that government policy addressing income inequality would also boost electricity sales.

Population growth affects demand for electricity as well as the economy as a whole. The EIA has made few changes in its projections, showing 0.7 percent per year population growth in 2015- 2030 in both the 2007 and 2017 forecasts. Recent studies, however, have shown a drop in the birth rate to record lows. More troubling, from a national health perspective is that the average age of death may have stopped rising. Those two factors point to lower population growth, especially if the government also restricts immi-gration. Thus, the US may be approaching a period of rather modest population growth.

All of the above factors point to minimal sales growth for electricity producers in the US--perhaps even lower than the seemingly conservative EIA estimates. But the cloud on the horizon has a silver lining in the shape of an electric car. Both the United Kingdom and France have set dates to end of production of automobiles with internal combustion engines. Several European car makers have declared that 20 percent of their output will be electric vehicles by the early 2020s. If we adopt automobiles powered by electricity and not gasoline or diesel, electricity sales would increase by one third. For the power indus-try, electric vehicles represent the next big thing.

We don’t pretend to know how electric car sales will progress. But assume vehicle turnover rates re-main at the current 7 percent per year and electric cars account for 5 percent of sales in the first five years (as op-posed to 1 percent now), 20 percent in the next five years and 50 percent in the third five year period. Wildly optimistic assumptions? Maybe. By 2030, electric cars would constitute 28 percent of the vehicle fleet. They would add about 10 percent to kilowatt hour sales by that date, assuming that battery efficiencies do not improved by then. Those added sales would require increased electric generation output, with low-emissions sources expected to cover almost all the growth globally. They would also raise long term growth rates for 2015-2030 from the present 0.3 percent to 1.0 percent. The slow upturn in demand should give the electric companies time to gear up so to speak.

In the meantime, weather will continue to play a big role in electricity consumption. Record heat-induced demand peaks are being set here in the US even as surging global demand puts power systems under strain worldwide.

Can we discern a pattern in weather conditions 15 years out? Maybe we can, but that is one topic we don’t expect a government agency to tackle in public right now. Meantime, weather will affect sales more than anything else and we cannot predict the weather. Or can we?

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Small Modular Reactors in Canada are advancing through provincial collaboration, offering nuclear energy, clean power and carbon reductions for grids, remote communities, and mines, with factory-built modules, regulatory roadmaps, and pre-licensing by the nuclear regulator.

Key Points

Compact, factory-built nuclear units for clean power, cutting carbon for grids, remote communities, and industry.

✅ Provinces: Ontario, Saskatchewan, New Brunswick collaborate

✅ Targets coal replacement, carbon cuts, clean baseload power

✅ Modular, factory-made units; 5-10 year deployment horizon

The premiers of Ontario, Saskatchewan and New Brunswick have committed to collaborate on developing nuclear reactor technology in Canada. 

Doug Ford, Scott Moe and Blaine Higgs made the announcement and signed a memorandum of understanding on Sunday in advance of a meeting of all the premiers. 

They will be working on the research, development and building of small modular reactors as a way to help their individual provinces reduce carbon emissions and move away from non-renewable energy sources like coal. 

Small modular reactors are easy to construct, are safer than large reactors and are regarded as cleaner energy than coal, the premiers say. They can be small enough to fit in a school gym. 

SMRs are actually not very close to entering operation in Canada, though Ontario broke ground on its first SMR at Darlington recently, signaling early progress. Natural Resources Canada released an "SMR roadmap" last year, with a series of recommendations about regulation readiness and waste management for SMRs.

In Canada, about a dozen companies are currently in pre-licensing with the Canadian Nuclear Safety Commission, which is reviewing their designs.

"Canadians working together, like we are here today, from coast to coast, can play an even larger role in addressing climate change in Canada and around the world," Moe said.  

Canada's Paris targets are to lower total emissions 30 per cent below 2005 levels by 2030, and nuclear's role in climate goals has been emphasized by the federal minister in recent remarks. Moe says the reactors would help Saskatchewan reach a 70 per cent reduction by that year.

The provinces' three energy ministries will meet in the new year to discuss how to move forward and by the fall a fully-fledged strategy for the reactors is expected to be ready.

However, don't expect to see them popping up in a nearby field anytime soon. It's estimated it will take five to 10 years before they're built. 

Ford lauds economic possibilities
The provincial leaders said it could be an opportunity for economic growth, estimating the Canadian market for this energy at $10 billion and the global market at $150 billion.

Ford called it an "opportunity for Canada to be a true leader." At a time when Ottawa and the provinces are at odds, Higgs said it's the perfect time to show unity. 

"It's showing how provinces come together on issues of the future." 

P.E.I. premier predicts unity at Toronto premiers' meeting
No other premiers have signed on to the deal at this point, but Ford said all are welcome and "the more, the merrier."

But developing new energy technologies is a daunting task. Higgs admitted the project will need national support of some kind, though he didn't specify what. The agreement signed by the premiers is also not binding. 

About 8.6 per cent of Canada's electricity comes from coal-fired generation. In New Brunswick that figure is much higher — 15.8 per cent — and New Brunswick's small-nuclear debate has intensified as New Brunswick Premier Blaine Higgs has said he worries about his province's energy producers being hit by the federal carbon tax.

Ontario has no coal-fired power plants, and OPG's SMR commitment aligns with its clean electricity strategy today. In Saskatchewan, burning coal generates 46.6 per cent of the province's electricity.

How would it work?
The federal government describes small modular reactors (SMRs) as the "next wave of innovation" in nuclear energy technology, and collaborations like the OPG and TVA partnership are advancing development efforts, and an "important technology opportunity for Canada."

Traditional nuclear reactors used in Canada typically generate about 800 megawatts of electricity, and Ontario is exploring new large-scale nuclear plants alongside SMRs, or enough to power about 600,000 homes at once (assuming that 1 megawatt can power about 750 homes).

The International Atomic Energy Agency (IAEA), the UN organization for nuclear co-operation, considers a nuclear reactor to be "small" if it generates under 300 megawatts.

Designs for small reactors ranging from just 3 megawatts to 300 megawatts have been submitted to Canada's nuclear regulator, the Canadian Nuclear Safety Commission, for review as part of a pre-licensing process, while plans for four SMRs at Darlington outline a potential build-out pathway that regulators will assess.

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Such reactors are considered "modular" because they're designed to work either independently or as modules in a bigger complex (as is already the case with traditional, larger reactors at most Canadian nuclear power plants). A power plant could be expanded incrementally by adding additional modules.

Modules are generally designed to be small enough to make in a factory and be transported easily — for example, via a standard shipping container.

In Canada, there are three main areas where SMRs could be used:

Traditional, on-grid power generation, especially in provinces looking for zero-emissions replacements for CO2-emitting coal plants.
Remote communities that currently rely on polluting diesel generation.
Resource extraction sites, such as mining and oil and gas.
 

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DOE Wind Energy Funding backs 13 R&D projects advancing offshore wind, distributed energy, and utility-scale turbines, including microgrids, battery storage, nacelle and blade testing, tall towers, and rural grid integration across the United States.

Key Points

DOE Wind Energy Funding is a $28M R&D effort in offshore, distributed, and utility-scale wind to lower cost and risk.

✅ $6M for rural microgrids, storage, and grid integration.

✅ $7M for offshore R&D, nacelle and long-blade testing.

✅ Up to $10M demos; $5M for tall tower technology.

The U.S. Department of Energy announced that in order to advance wind energy in the U.S., 13 projects have been selected to receive $28 million. Project topics focus on technology development while covering distributed, offshore wind growth and utility-scale wind found on land.

The selections were announced by the DOE’s Assistant Secretary for the Office of Energy Efficiency and Renewable Energy, Daniel R. Simmons, at the American Wind Energy Association Offshore Windpower Conference in Boston, as New York's offshore project momentum grows nationwide.

Wind Project Awards

According to the DOE, four Wind Innovations for Rural Economic Development projects will receive a total of $6 million to go toward supporting rural utilities via facilitating research drawing on U.K. wind lessons for deployment that will allow wind projects to integrate with other distributed energy resources.

These endeavors include:

Bergey WindPower (Norman, Oklahoma) working on developing a standardized distributed wind/battery/generator micro-grid system for rural utilities;

Electric Power Research Institute (Palo Alto, California) working on developing modeling and operations for wind energy and battery storage technologies, as large-scale projects in New York progress, that can both help boost wind energy and facilitate rural grid stability;

Iowa State University (Ames, Iowa) working on optimization models and control algorithms to help rural utilities balance wind and other energy resources; and

The National Rural Electric Cooperative Association (Arlington, Virginia) providing the development of standardized wind engineering options to help rural-area adoption of wind.

Another six projects are to receive a total of $7 million to facilitate research and development in offshore wind, as New York site investigations advance, with these projects including:

Clemson University (North Charleston, South Carolina) improving offshore-scale wind turbine nacelle testing via a “hardware-in-the-loop capability enabling concurrent mechanical, electrical and controller testing on the 7.5-megawatt dynamometer at its Wind Turbine Drivetrain Testing Facility to accelerate 1 GW on the grid progress”; and

The Massachusetts Clean Energy Center (Boston) upgrading its Wind Technology Testing Center to facilitate structural testing of 85- to 120-meter-long (roughly 278- to 393-foot-long) blades, as BOEM lease requests expand, among other projects.

Additionally, two offshore wind technology demonstration projects will receive up to $10 million for developing initiatives connected to reducing wind energy risk and cost. One last project will also be granted $5 million for the development of tall tower technology that can help overcome restrictions associated with transportation.

“These projects will be instrumental in driving down technology costs and increasing consumer options for wind across the United States as part of our comprehensive energy portfolio,” said Simmons.

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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Goreway Power Station Overbilling exposed by Ontario Energy Board shows IESO oversight failures, GCG gaming, and $100M in inappropriate payments at the Brampton natural gas plant, penalized with fines and repayments impacting Ontario ratepayers.

Key Points

Goreway exploited IESO GCG flaws, causing about $100M in improper payouts and fines.

✅ OEB probe flagged $89M in ineligible start-up O&M charges

✅ IESO fined Goreway $10M; majority of excess costs recovered

✅ Audit found $200M in overbilling across nine generators

Hydro customers shelled out about $100 million in "inappropriate" payments to a natural gas plant that exploited flaws in how Ontario manages its private electricity generators, according to the Ontario Energy Board.

The company operating the Goreway Power Station in Brampton "gamed" the system for at least three years, according to an investigation by the provincial energy regulator. 

The investigation also delivers stinging criticism of the provincial government's Independent Electricity System Operator (IESO), slamming it for a lack of oversight. The probe by the Ontario Energy Board's market surveillance panel was completed nearly a year ago, but was only made public in November because it was buried on its website without a news release. CBC News is the first media outlet to report on the investigation.  

The excess payments to Goreway Power Station included:

• $89 million in ineligible expenses billed as the costs of firing up power production. 
• $5.6 million paid in three months from a flaw in how IESO calculated top-ups for the company committing to generate power a day in advance.   
• Of $11.2 million paid to compensate the company for IESO ordering it to start or stop generating power, the investigation concluded "a substantial portion ... was the result of gaming."  

Most privately-owned natural gas-fired plants in the province do not generate electricity constantly, but start and stop production in response to fluctuating market demand, even as the energy minister has requested an halt to natural gas generation across the grid.  IESO pays them a premium for the costs of firing up production, through what it calls "generation cost guarantee" programs. 

But the investigation found IESO did little checking into the details of Goreway Power Station's billings. 

Goreway Power Station, located near Highway 407 in Brampton, Ont., is an 875 megawatt natural gas power plant. (Goreway)

"Conservatively, at least $89 million of Goreway's submissions were clearly ineligible by any reasonable measure," concludes the report.

"Goreway routinely submitted what were obviously inappropriate expenses to be reimbursed by the IESO, and ultimately borne by Ontario ratepayers,"

The investigation panel found an "extraordinary pattern" to these billings by Goreway Power Station, suggesting the IESO should have caught on sooner. The company submitted more than $100 million in start-up operating and maintenance costs during the three-year period investigated — more than all other gas-fired generators in the province combined. The company's costs per start-up were more than double the next most expensive power generator. 

"Goreway repeatedly exploited defects in the GCG (generation cost guarantee) program, and in doing so received at least $89 million in gamed GCG payments." 

Company fined $10M

The investigation covered a three-year period from when Goreway Power Station began generating power in June 2009. Investigators said that delays in releasing documents slowed down their probe, and they only obtained all the records they needed in April 2016.

The investigating panel does not have the power to impose penalties on companies it found broke the rules. 

The IESO fined Goreway Power Station $10 million. The company has also repaid IESO "a substantial portion" of the excess payments it received during its first six years of operating, but the exact figure is blacked out in the investigation report that was made public. 

The control room from which the provincial government's Independent Electricity System Operator manages Ontario's power supply. The agency is also responsible for managing contracts with private power producers.(IESO)

"Goreway does not agree with many of the draft report's findings and conclusions, including any suggestion that Goreway engaged in gaming or that it deliberately misled the IESO," writes lawyer George Vegh on behalf of the company in a response to the investigation report, dated Aug. 1.

"Goreway has implemented initiatives designed to ensure that compliance is a chief operating principle."     

The power station, located near Highway 407 in Brampton, is a joint venture between Toyota Tsusho Corp. and JERA Co. Inc. During the period under scrutiny, the project was run by Toyota Tsusho and Chubu Electric Power Inc., both headquartered in Japan. 

Investigators fear 'same situation' exists today

The report blames the provincially-controlled IESO for creating a system with defects that allowed the over-billing. 

"Goreway was able to — and repeatedly did — exploit these defects," says the investigation report. It goes on to explain the flaws "have created opportunities for exploitation, to the serious financial disadvantage of Ontario's ratepayers," even as greening Ontario's grid could entail massive costs.

The investigation suggests IESO hasn't made adequate changes to ensure it won't happen again, at a time when an analysis of a dirtier grid is raising concerns.   

"Goreway stands as a clear example of how generators are able to exploit the generation costs guarantee regime," says the report.

"The Panel is concerned that the same situation remains in place today." 

PC energy critic Todd Smith raised CBC News' report on the Goreway Power Station in Tuesday's question period. (Ontario Legislature)

After CBC News broke the story Tuesday, the provincial government was forced to respond in question period, amid a broader push for new gas plants to boost electricity production. 

"Here we have yet another gas plant scandal in Peel region that's costing electricity customers over $100 million," said PC energy critic Todd Smith. He slammed "the incompetence of a government that once again failed to look out for electricity customers." 

Economic Development Minister Brad Duguid said: "There is no excuse for any company in this province to ever game the system."

Nine companies overbilled $200M: audit 

The IESO found out about the overbilling "some time ago," said Duguid.

"They fully investigated, they've recovered most of the cost, they delivered a $10 million fine — the biggest fine on record."

The program that Goreway exploited became the subject of an audit that the IESO launched in 2011. The agency uncovered $200 million in ineligible billings by nine power producers, wrote the IESO vice president for policy Terry Young in an email to CBC News.

The IESO has recovered up to 85 per cent of those ineligible costs, Young noted.

Reforms to the design of the the program have removed the potential for overpayments and made it more efficient, he said, even as Ontario weighs embracing clean power more broadly. Last year, its total annual costs dropped to $23 million, down from $61 million in 2014.

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