Team CANDU New Brunswick to Conduct Feasibility Study for Second Nuclear Power Plant at Point Lepreau

EV Grid Capacity Management shows how smart charging, load balancing, and off-peak pricing align with utility demand response, DC fast charging networks, and renewable integration to keep national electricity infrastructure reliable as EV adoption scales

Key Points

EV Grid Capacity Management schedules charging and balances load to keep EV demand within utility capacity.

✅ Off-peak pricing and time-of-use tariffs shift charging demand.

✅ Smart chargers enable demand response and local load balancing.

✅ Gradual EV adoption allows utilities to plan upgrades efficiently.

One of the most frequent concerns you will see from electric vehicle haters is that the electricity grid can’t possibly cope with all cars becoming EVs, or that EVs will crash the grid entirely. However, they haven’t done the math properly. The grids in most developed nations will be just fine, so long as the demand is properly management. Here’s how.

The biggest mistake the social media keyboard warriors make is the very strange assumption that all cars could be charging at once. In the UK, there are currently 32,697,408 cars according to the UK Department of Transport. The UK national grid had a capacity of 75.8GW in 2020. If all the cars in the UK were EVs and charging at the same time at 7kW (the typical home charger rate), they would need 229GW – three times the UK grid capacity. If they were all charging at 50kW (a common public DC charger rate), they would need 1.6TW – 21.5 times the UK grid capacity. That sounds unworkable, and this is usually the kind of thinking behind those who claim the UK grid can't cope with EVs.

What they don’t seem to realize is that the chances of every single car charging all at once are infinitesimally low. Their arguments seem to assume that nobody ever drives their car, and just charges it all the time. If you look at averages, the absurdity of this position becomes particularly clear. The distance each UK car travels per year has been slowly dropping, and was 7,400 miles on average in 2019, again according to the UK Department of Transport. An EV will do somewhere between 2.5 and 4.5 miles per kWh on average, so let’s go in the middle and say 3.5 miles. In other words, each car will consume an average of 2,114kWh per year. Multiply that by the number of cars, and you get 69.1TWh. But the UK national grid produced 323TWh of power in 2019, so that is only 21.4% of the energy it produced for the year. Before you argue that’s still a problem, the UK grid produced 402TWh in 2005, which is more than the 2019 figure plus charging all the EVs in the UK put together. The capacity is there, and energy storage can help manage EV-driven peaks as well.

Let’s do the same calculation for the USA, where an EV boom is about to begin and planning matters. In 2020, there were 286.9 million cars registered in America. In 2020, while the US grid had 1,117.5TW of utility electricity capacity and 27.7GW of solar, according to the US Energy Information Administration. If all the cars were EVs charging at 7kW, they would need 2,008.3TW – nearly twice the grid capacity. If they charged at 50kW, they would need 14,345TW – 12.8 times the capacity.

However, in 2020, the US grid generated 4,007TWh of electricity. Americans drive further on average than Brits – 13,500 miles per year, according to the US Department of Transport’s Federal Highway Administration. That means an American car, if it were an EV, would need 3,857kWh per year, assuming the average efficiency figures above. If all US cars were EVs, they would need a total of 1,106.6TWh, which is 27.6% of what the American grid produced in 2020. US electricity consumption hasn’t shrunk in the same way since 2005 as it has in the UK, but it is clearly not unfeasible for all American cars to be EVs. The US grid could cope too, even as state power grids face challenges during the transition.

After all, the transition to electric isn’t going to happen overnight. The sales of EVs are growing fast, with for example more plug-ins sold in the UK in 2021 so far than the whole of the previous decade (2010-19) put together. Battery-electric vehicles are closing in on 10% of the market in the UK, and they were already 77.5% of new cars sold in Norway in September 2021. But that is new cars, leaving the vast majority of cars on the road fossil fuel powered. A gradual introduction is essential, too, because an overnight switchover would require a massive ramp up in charge point installation, particularly devices for people who don’t have the luxury of home charging. This will require considerable investment, but could be served by lots of chargers on street lamps, which allegedly only cost £1,000 ($1,300) each to install, usually with no need for extra wiring.

This would be a perfectly viable way to provide charging for most people. For example, as I write this article, my own EV is attached to a lamppost down the street from my house. It is receiving 5.5kW costing 24p (32 cents) per kWh through SimpleSocket, a service run by Ubitricity (now owned by Shell) and installed by my local London council, Barnet. I plugged in at 11am and by 7.30pm, my car (which was on about 28% when I started) will have around 275 miles of range – enough for a couple more weeks. It will have cost me around £12 ($16) – way less than a tank of fossil fuel. It was a super-easy process involving the scanning of a QR code and entering of a credit card, very similar to many parking systems nowadays. If most lampposts had one of these charging plugs, not having off-street parking would be no problem at all for owning an EV.

With most EVs having a range of at least 200 miles these days, and the average mileage per day being 20 miles in the UK (the 7,400-mile annual figure divided by 365 days) or 37 miles in the USA, EVs won’t need charging more than once a week or even every week or two. On average, therefore, the grids in most developed nations will be fine. The important consideration is to balance the load, because if too many EVs are charging at once, there could be a problem, and some regions like California are looking to EVs for grid stability as part of the solution. This will be a matter of incentivizing charging during off-peak times such as at night, or making peak charging more expensive. It might also be necessary to have the option to reduce charging power rates locally, while providing the ability to prioritize where necessary – such as emergency services workers. But the problem is one of logistics, not impossibility.

There will be grids around the world that are not in such a good place for an EV revolution, at least not yet, and some critics argue that policies like Canada's 2035 EV mandate are unrealistic. But to argue that widespread EV adoption will be an insurmountable catastrophe for electricity supply in developed nations is just plain wrong. So long as the supply is managed correctly to make use of spare capacity when it’s available as much as possible, the grids will cope just fine.

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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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China Power Demand-Emissions Gap highlights surging grid demand outpacing renewables, with coal filling shortages despite record solar, wind, EV charging, and hydrogen growth, threatening decarbonization targets and net-zero pathways through 2030.

Key Points

China's power demand outpaces renewables, keeping coal dominant and raising emissions risk through the 2020s.

✅ Record solar and wind still lag fast grid demand growth

✅ Coal fills gaps as EV charging and hydrogen loads rise

✅ Forecasts diverge: CEC bullish vs IEA, BNEF conservative

Here’s a new obstacle that could prevent the world finally turning the corner on climate change: Imagine that over the coming decade a whole new economy the size of Russia were to pop up out of nowhere. With the world’s fourth-largest electricity sector and largest burden of power plant emissions after China, the U.S. and India, this new economy on its own would be enough to throw out efforts to halt global warming — especially if it keeps on growing through the 2030s.

That’s the risk inherent in China’s seemingly insatiable appetite for grid power, as surging electricity demand is putting systems under strain worldwide.

From the cracking pace of renewable build-out last year, you might think the country had broken the back of its carbon addiction. A record 55 gigawatts of solar power and 48 gigawatts of wind were connected — comparable to installing the generation capacity of Mexico in less than 12 months. This year will see an even faster pace, with 93 GW of solar and 50 GW of wind added, according to a report last week from the China Electricity Council, an industry association.

That progress could in theory see the country’s power sector emissions peak within months, rather than the late-2020s date the government has hinted at. Combined with a smaller quantity of hydro and nuclear, low-emissions sources will probably add about 310 terawatt-hours to zero-carbon generation this year. That 3.8% increase would be sufficient to power the U.K.

Countries that have reached China’s levels of per-capita electricity consumption (already on a par with most of Europe) typically see growth rates at less than half that level, even as global power demand has surged past pre-pandemic levels in recent years. Grid supply could grow at a faster pace than Brazil, Iran, South Korea or Thailand managed over the past decade without adding a ton of additional carbon to the atmosphere.

There’s a problem with that picture, however. If electricity demand grows at an even more headlong pace, there simply won’t be enough renewables to supply the grid. Fossil fuels, overwhelmingly coal, will fill the gap, a reminder of the iron law of climate dynamics in energy transitions.

Such an outcome looks distinctly possible. Electricity consumption in 2021 grew at an extraordinary rate of 10%, and will increase again by between 5% and 6% this year, according to the CEC. That suggests the country is on pace to match the CEC’s forecasts of bullish grid demand over the coming decade, with generation hitting 11,300 terawatt-hours in 2030. External analysts, such as the International Energy Agency and BloombergNEF, envisage a more modest growth to around 10,000 TWh. 

The difference between those two outlooks is vast — equivalent to all the electricity produced by Russia or Japan. If the CEC is right and the IEA and BloombergNEF are wrong, even the furious rate of renewable installations we’re seeing now won’t be enough to rein in China’s power-sector emissions.

Who’s correct? On one hand, it’s fair to say that power planners usually err on the side of overestimation. If your forecast for electricity demand is too high, state-owned generators will be less profitable than they otherwise would have been — but if it’s too low, you’ll see power cuts and shutdowns like China witnessed last autumn, with resulting power woes affecting supply chains beyond its borders.

On the other hand, the decarbonization of China’s economy itself should drive electricity demand well above what we’ve seen in the past, with some projections such as electricity meeting 60% of energy use by 2060 pointing to a profound shift. Some 3.3 million electric vehicles were sold in 2021 and BloombergNEF estimates a further 5.7 million will be bought in 2022. Every million EVs will likely add in the region of 2 TWh of load to the grid. Those sums quickly mounts up in a country where electric drivetrains are taking over a market that shifts more than 25 million new cars a year.

Decarbonizing industry, a key element on China’s road to zero emissions, could also change the picture. The IEA sees the country building 25 GW of electolysers to produce hydrogen by 2030, enough to consume some 200 TWh on their own if run close to full-time.

That’s still not enough to justify the scale of demand being forecast, though. China is already one of the least efficient countries in the world when it comes to translating energy into economic growth, and despite official pressure on the most wasteful, so called “dual-high” industries such as steel, oil refining, glass and cement, its targets for more thrifty energy usage remain pedestrian.

The countries that have decarbonized fastest are those, such as Germany, the U.K and the U.S., where Americans are using less electricity, that have seen power demand plateau or even decline, giving new renewable power a chance to swap out fossil-fired generators without chasing an ever-increasing burden on the grid. China’s inability to do this as its population peaks and energy consumption hits developed-country levels isn’t a sign of strength.

Instead, it’s a sign of a country that’s chronically unable to make the transition away from polluting heavy industry and toward the common prosperity and ecological civilization that its president keeps promising. Until China reins in that credit-fueled development model, the risks to its economy and the global climate will only increase.

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Offshore Wind Cost Competitiveness is rising as larger turbines boost megawatt output, cut LCOE, and trim maintenance and installation time, enabling projects in New England to rival natural gas pricing while scaling reliably.

Key Points

It describes how larger offshore turbines lower LCOE and O&M, making U.S. projects price competitive with natural gas.

✅ Larger turbines boost MW output and reduce LCOE.

✅ Lower O&M and faster installation cut lifecycle costs.

✅ Competes with gas in New England bids, per BNEF.

Massive offshore wind turbines keep getting bigger, as projects like the biggest UK offshore wind farm come online, and that’s helping make the power cheaper — to the point where developers say new projects in U.S. waters can compete with natural gas.

The price “is going to be a real eye-opener,” said Bryan Martin, chairman of Deepwater Wind LLC, which won an auction in May to build a 400-megawatt wind farm southeast of Rhode Island.

Deepwater built the only U.S. offshore wind farm, a 30-megawatt project that was completed south of Block Island in 2016. The company’s bid was selected by Rhode Island the same day that Massachusetts picked Vineyard Wind to build an 800-megawatt wind farm in the same area, while international investors such as Japanese utilities in UK projects signal growing confidence.

#google#

Bigger turbines that make more electricity have cut the cost per megawatt by about half, a trend aided by higher-than-expected wind potential in many markets, said Tom Harries, a wind analyst at Bloomberg New Energy Finance. That also reduces maintenance expenses and installation time. All of this is helping offshore wind vie with conventional power plants.

“You could not build a thermal gas plant in New England for the price of the wind bids in Massachusetts and Rhode Island,” Martin said Friday at the U.S. Offshore Wind Conference in Boston. “It’s very cost-effective for consumers.”

The Massachusetts project could be about $100 to $120 a megawatt hour, according to a February estimate from Harries, though recent UK price spikes during low wind highlight volatility. The actual prices there and in Rhode Island weren’t disclosed.

For comparison, a new U.S. combine-cycle gas turbine ranges from $40 to $60 a megawatt-hour, and a new coal plant is $67 to $113, according to BNEF data.

A new power plant in land-constrained New England would probably be higher than that, and during winter peaks the region has seen record oil-fired generation in New England that underscores reliability concerns. More importantly, gas plants get a significant portion of their revenue from being able to guarantee that power is always available, something wind farms can’t do, said William Nelson, a New York-based analyst with BNEF. Looking only at the price at which offshore turbines can deliver electricity is a “narrow mindset,” he said.

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EU Renewable Energy Shift is cutting gas dependence as wind and solar expand, reshaping Europe's power mix, curbing emissions, and pressuring coal use amid a supply crisis and rising natural gas prices.

Key Points

An EU trend where wind and solar growth reduce gas reliance, curb coal, and lower power-sector emissions.

✅ Wind and solar displace gas in EU power mix

✅ Coal use rises as gas prices surge

✅ Emissions fall, but not fast enough for 1.5 C target

The European Union’s renewable energy sources are helping reduce its dependence on natural gas, under the current European electricity pricing framework, that’s still costing the region dearly.

Renewables growth has helped reduce the EU’s dependence on gas, as wind and solar outpaced gas across the bloc last year, which has soared in price since the middle of last year as the region grapples with a supply crisis that’s dealt blows to industries as well as ordinary consumers’ pockets. More than half of new renewable generation since 2019 has replaced gas power, according to a study by London-based climate think tank Ember, with the rest replacing mainly nuclear and coal sources.

“These are moments and paradigm shifts when governments and businesses start taking this much more seriously,” said Charles Moore, the lead author on the study, amid Covid-19 responses accelerating the transition across Europe. “The alternatives are available, they are cheaper, and they are likely to get even cheaper and more competitive. Renewables are now an opportunity, not a cost.”

The high price of gas relative to coal has meant utilities are leaning more on coal as a back-up for renewable generation, as stunted hydro and nuclear output has constrained low-carbon alternatives in parts of Europe, which risks the trajectory of Europe’s phase-out of the dirtiest fossil fuel. Last year, the EU’s coal use jumped disproportionately high relative to the rise in power generation as high gas prices boosted the relative profitability of burning coal instead.

Europe Coal Use Jumps as Costly Gas Turns Firms to Dirty Fuel
EU power generation from renewables reached a record high in 2021 of 547 terawatt-hours last year, accounting for an 11% increase compared to two years before, according to Ember’s Europe Electricity Review. It’s more than doubled in a decade, representing a 157% increase since 2011. 

Gas use declined last year for the second year in a row, as Europe explores storing electricity in gas pipelines to leverage existing infrastructure, reaching a level 8.1% lower than 2019. By contrast, coal use fell just 3.3% in the same period. Put simply, wind and solar did a great job of replacing coal during 2011-2019 but since then renewables have mostly been nudging out gas-fired power stations.

Ember’s Moore warned that the slowing phase-out of coal might require legislation to accelerate. The International Energy Agency recommends OECD countries cease using coal by the end of the decade to ensure alignment with the Paris Agreement target of keeping the world’s temperature increase below 1.5 Celsius, with renewables poised to eclipse coal globally by the mid-2020s lending momentum. 

“Europe can accelerate the phasing out of coal by building more renewable energy and faster,” said Felicia Aminoff,  an energy-transition analyst at BloombergNEF. “Wind and solar have no fuel costs, so as soon as you have made the initial investments to build wind and solar capacity it will start replacing generation that uses any kind of fuel, whether it is coal or gas.”

Overall, EU power sector emissions fell at less than half the rate required to hit that target, Ember’s report said. Spain produced the largest emissions reduction in the last two years, with renewables adding about 25 TWh and gas falling 15 TWh, and in Germany renewables topped coal and nuclear for the first time to support the shift. In contrast, heavy use of coal dragged down the bloc’s climate progress in Poland, where coal use rose about 8 TWh and renewables gained only 4 TWh.

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Canada 2035 Clean Electricity Target faces a 48.4GW shortfall as renewable capacity lags; accelerating wind, solar PV, grid upgrades, and coherent federal-provincial policy is vital to reach zero-emissions power and strengthen transmission and distribution.

Key Points

Canada's plan to supply nearly 100% of electricity from zero-emitting sources by 2035, requiring renewable buildout.

✅ Average adds 2.6GW; shortfall totals 48.4GW by 2035

✅ Expand wind, solar PV, storage, and grid modernization

✅ Align federal-province policy; retire or convert thermal plants

GlobalData’s latest report, ‘Canada Power Market Size and Trends by Installed Capacity, Generation, Transmission, Distribution and Technology, Regulations, Key Players and Forecast, 2022-2035’, discusses the power market structure of Canada and, amid looming power challenges, provides historical and forecast numbers for capacity, generation and consumption up to 2035. Detailed analysis of the country’s power market regulatory structure, competitive landscape and a list of major power plants are provided. The report also gives a snapshot of the power sector in the country on broad parameters of macroeconomics, supply security, generation infrastructure, transmission and distribution infrastructure, electricity import and export scenario, degree of competition, regulatory scenario, and future potential. An analysis of the deals in the country’s power sector is also included in the report.

Canada is expected to fall short of its 2035 clean electricity target after reviewing the country’s current renewable capacity activity. The country has targeted to produce nearly 100% of its electricity from zero-emitting sources by 2035, while electricity associations' net-zero goals extend to 2050; however, the country is adding only 2.6GW of annual renewable capacity additions on average every year, which would mean a cumulative shortfall of 48.4GW.

Canada has good governmental support, but it is not doing enough to ensure its targets are met. If the country is to meet its target to produce nearly 100% of electricity from zero-emitting sources by 2035, the country should both increase the capacity and efficiency of renewable power plants, as well as provide comprehensive end-to-end policies at both the federal and provincial levels, as debates over whether Ontario is embracing clean power continue across provinces. It should also involve communities and businesses in raising awareness of the benefits of adopting renewable energy.

The country has a large amount of proven natural gas and oil reserves that are proving too tempting an opportunity, and the Canadian Government is planning to increase the capacity of its gas-based plants under net-zero regulations permit some gas in the power mix, to secure real-time demand and supply. However, the country’s dependency on gas-based plants creates a major challenge to achieve its 2035 clean electricity target.

If the Canadian Government is to meet its 2035 targets, it should draw on examples from its European counterparts and add renewable capacity at a rapid pace, while balancing demand and emissions in key provinces. One advantage for Canada here is that it does not have land constraints, which is common in other major renewable power-generating countries. This could give the country an estimated 6.1GW of renewable capacity every year on average during the 2021-2035 period: enough capacity to meet its target. Most of these installations are expected to be for wind and solar PV.

Changing provincial governments are not helpful when it comes to implementing long-term projects, especially as Ontario faces looming electricity shortfalls that heighten planning risks, and continued stopping and starting of projects like this will only be damaging to renewable goals. Another way the country can achieve its target is by converting thermal power plants into clean energy plants and providing a roadmap or timeline for provinces to retire thermal power plants completely, even as scrapping coal can be costly for some systems.

Canada’s GDP (at constant prices) increased from $1,617.3bn in 2010 to $1,924.5bn in 2021, at a CAGR of 1.6%. The GDP (at constant prices) of the country declined sharply from $1,943.8bn in 2019 to $1,840.5bn in 2020 because of Covid-19 pandemic. After the recommencement of regular industrial and trade activities, the GDP grew by 4.6% in 2021 from 2020. The GDP is expected to cross pre-pandemic levels by the end of 2022.

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