More than half of new power is green

By Reuters


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More than half of all new electricity capacity added in the United States and Europe last year was from renewable power such as wind and solar, a body backed by the International Energy Agency and the UN reported.

Last year was also a record year for the amount of new green power added to the grid, partly a result of shifting deployment and manufacture to emerging economies including Brazil, India and China, from flagging developed countries.

"In 2009, China produced 40 percent of the world's solar PV supply, 30 percent of the world's wind turbines, up from 10 percent in 2007," REN21, or the Renewable Energy Policy Network for the 21st Century, said in a report.

REN21, launched in 2005, is supported by the International Energy Agency IEA, which advises 28 industrialized countries — and by the United Nations Environment Programme.

Of an extra 80 gigawatts GW of new renewable power capacity added worldwide, China added 37 GW, more than any other country, said the study, titled "Renewables 2010, Global Status Report."

Despite the impact of the financial crisis and lower oil prices, renewable capacity grew at rates close to those in previous years, including solar photovoltaic PV power at 53 percent and wind power at 32 percent, the report said.

Grid-connected solar PV power had grown by an average of 60 percent every year for the past decade, increasing 100-fold since 2000.

That boom has been largely on the back of support in European countries, where a recent pullback following recession has raised investor jitters. But the wind and solar sectors were still poised for a record year in 2010, operators and investors say.

While China is making great strides in renewable energy deployment, its carbon emissions also accelerated in 2009 — placing it further ahead as the world's top emitter of the main greenhouse gas blamed for climate change.

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Medicine Hat Grant Winners to Upgrade Grid and Use AI for Energy Savings

Medicine Hat Smart Grid AI modernizes electricity distribution with automation, sensors, and demand response, enhancing energy efficiency and renewable integration while using predictive analytics and real-time data to reduce consumption and optimize grid operations.

 

Key Points

An initiative using smart grid tech and AI to optimize energy use, cut waste, and improve renewable integration.

✅ Predictive analytics forecast demand to balance load and prevent outages.

✅ Automation, sensors, and meters enable dynamic, resilient distribution.

✅ Integrates solar and wind with demand response to cut emissions.

 

The city of Medicine Hat, Alberta, is taking bold steps toward enhancing its energy infrastructure and reducing electricity consumption with the help of innovative technology. Recently, several grant winners have been selected to improve the city's electricity grid distribution and leverage artificial intelligence (AI) to adapt to electricity demands while optimizing energy use. These projects promise to not only streamline energy delivery but also contribute to more sustainable practices by reducing energy waste.

Advancing the Electricity Grid

Medicine Hat’s electricity grid is undergoing a significant transformation, thanks to a new set of initiatives funded by government grants that advance a smarter electricity infrastructure vision for the region. The city has long been known for its commitment to sustainable energy practices, and these new projects are part of that legacy. The winners of the grants aim to modernize the city’s electricity grid to make it more resilient, efficient, and adaptable to the changing demands of the future, aligning with macrogrid strategies adopted nationally.

At the core of these upgrades is the integration of smart grid technologies. A smart grid is a more advanced version of the traditional power grid, incorporating digital communications and real-time data to optimize the delivery and use of electricity. By connecting sensors, meters, and control systems across the grid, along with the integration of AI data centers where appropriate, the grid can detect and respond to changes in demand, adjust to faults or outages, and even integrate renewable energy sources more efficiently.

One of the key aspects of the grant-funded projects involves automating the grid. Automation allows for the dynamic adjustment of power distribution in response to changes in demand or supply, reducing the risk of blackouts or inefficiencies. For instance, if an area of the city experiences a surge in energy use, the grid can automatically reroute power from less-used areas or adjust the distribution to avoid overloading circuits. This kind of dynamic response is crucial for maintaining a stable and reliable electricity supply.

Moreover, the enhanced grid will be able to better incorporate renewable energy sources such as solar and wind power, reflecting British Columbia's clean-energy shift as well, which are increasingly important in Alberta’s energy mix. By utilizing a more flexible and responsive grid, Medicine Hat can make the most of renewable energy when it is available, reducing reliance on non-renewable sources.

Using AI to Reduce Energy Consumption

While improving the grid infrastructure is an essential first step, the real innovation comes in the form of using artificial intelligence (AI) to reduce energy consumption. Several of the grant winners are focused on developing AI-driven solutions that can predict energy demand patterns, optimize energy use in real-time, and encourage consumers to reduce unnecessary energy consumption.

AI can be used to analyze vast amounts of data from across the electricity grid, such as weather forecasts, historical energy usage, and real-time consumption data. This analysis can then be used to make predictions about future energy needs. For example, AI can predict when the demand for electricity will peak, allowing the grid operators to adjust supply ahead of time, ensuring a more efficient distribution of power. By predicting high-demand periods, AI can also assist in optimizing the use of renewable energy sources, ensuring that solar and wind power are utilized when they are most abundant.

In addition to grid management, AI can help consumers save energy by making smarter decisions about how and when to use electricity. For instance, AI-powered smart home devices can learn household routines and adjust heating, cooling, and appliance usage to reduce energy consumption without compromising comfort. By using data to optimize energy use, these technologies not only reduce costs for consumers but also decrease overall demand on the grid, leading to a more sustainable energy system.

The AI initiatives are also expected to assist businesses in reducing their carbon footprints. By using AI to monitor and optimize energy use, industrial and commercial enterprises can cut down on waste and reduce energy-related operational costs, while anticipating digital load growth signaled by an Alberta data centre agreement in the province. This has the potential to make Medicine Hat a more energy-efficient city, benefiting both residents and businesses alike.

A Sustainable Future

The integration of smart grid technology and AI-driven solutions is positioning Medicine Hat as a leader in sustainable energy practices. The city’s approach is focused not only on improving energy efficiency and reducing waste but also on making electricity consumption more manageable and adaptable in a rapidly changing world. These innovations are a crucial part of Medicine Hat's long-term strategy to reduce carbon emissions and meet climate goals while ensuring reliable and affordable energy for its residents.

In addition to the immediate benefits of these projects, the broader impact is likely to influence other municipalities across Canada, including insights from Toronto's electricity planning for rapid growth, and beyond. As the technology matures and proves successful, it could set a benchmark for other cities looking to modernize their energy grids and adopt sustainable, AI-driven solutions.

By investing in these forward-thinking technologies, Medicine Hat is not only future-proofing its energy infrastructure but also taking decisive steps toward a greener, more energy-efficient future. The collaboration between local government, technology providers, and the community marks a significant milestone in the city’s commitment to innovation and sustainability.

 

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Multi-billion-dollar hydro generation project proposed for Meaford military base

Meaford Pumped Storage Project aims to balance the grid with hydro-electric generation, a hilltop reservoir, and transmission lines near Georgian Bay, pending environmental assessment, permitting, and federal review of impacts on fish and drinking water.

 

Key Points

TC Energy proposal to pump water uphill off-peak and generate 1,000 MW at peak, pending studies and approvals.

✅ Balances grid by storing off-peak energy and generating at peak.

✅ Requires reservoir, break wall, transmission lines, generating station.

✅ Environmental studies and federal review underway before approvals.

 

Plans for a $3.3 billion hydro-electric project in Meaford are still in the early study stages, but some residents have concerns about what it might mean for the environment, as past Site C stability issues have illustrated for large hydro projects.

A one-year permit was granted for TC Energy Corporation (TC Energy) to begin studies on the proposed location back in May, and cross-border projects like the New England Clean Power Link require federal permits as well to proceed. Local municipalities were informed of the project in June.

TC Energy is proposing to have a pumped storage project at the 4th Canadian Division Training (4CDTC) Meaford property, which is on federal lands.

A letter sent to local municipalities explains that the plan is to balance supply and demand on the electrical grid by pumping water uphill during off-peak hours. It would then release the water back into Georgian Bay during peak periods, generating up to 1,000 megawatts of electricity.

The project is expected to create 800 jobs over four years of construction, in addition to long-term operational positions.


 

According to the company's website, the proposed pump station would require a large reservoir on the military base, a generating station, transmission lines infrastructure, and a break wall 850 metres from shore.

Some residents fear the project will threaten the bay and the fish, echoing Site C dam concerns shared with northerners, and the region's drinking water.

Meaford's mayor says the town has no jurisdiction on federal lands, but that a list of concerns has been forwarded to the company, while Ontario First Nations have urged government action on urgent transmission needs elsewhere.

TC Energy will tackle preliminary engineering and environmental studies to determine the feasibility of the proposed location, which could take up to two years.

Once the assessments are done, they need to be presented to the government for further review and approval, as seen when Ottawa's Site C stance left work paused pending a treaty rights challenge.

TC Energy's website states that the company anticipates construction to begin in 2022 if it gets all the go-ahead, with the plant to begin operations four years later.

Input from residents is being collected until April 2020, similar to when the National Energy Board heard oral traditional evidence on the Manitoba-Minnesota transmission line.

 

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GM president: Electric cars won't go mainstream until we fix these problems

Electric Vehicle Adoption Barriers include range anxiety, charging infrastructure, and cost parity; consumer demand, tax credits, lithium-ion batteries, and performance benefits are accelerating EV uptake, pushing SUVs and self-driving tech toward mainstream mobility.

 

Key Points

They are the key hurdles to mainstream EV uptake: range anxiety, sparse charging networks, and high upfront costs.

✅ Range targets of 300+ miles reduce anxiety and match ICE convenience

✅ Expanded home, work, and public charging speeds adoption

✅ Falling battery costs and incentives drive price parity

 

The automotive industry is hurtling toward a future that will change transportation the same way electricity changed how we light the world. Electric and self-driving vehicles will alter the automotive landscape forever — it's only a question of how soon, and whether the age of electric cars arrives ahead of schedule.

Like any revolution, this one will be created by market demand.
Beyond the environmental benefit, electric vehicle owners enjoy the performance, quiet operation, robust acceleration, style and interior space. And EV owners like not having to buy gasoline. We believe the majority of these customers will stay loyal to electric cars, and U.S. EV sales are soaring into 2024 as this loyalty grows.

But what about non-EV owners? Will they want to buy electric, and is it time to buy an electric car for them yet? About 25 years ago, when we first considered getting into the electric vehicle business with a small car that had about 70 miles of range, the answer was no. But today, the results are far more encouraging.

We recently held consumer clinics in Los Angeles and Chicago and presented people with six SUV choices: three gasoline and three electric. When we asked for their first choice to purchase, 40% of the Chicago respondents chose an electric SUV, and 45% in LA did the same. This is despite a several thousand-dollar premium on the price of the electric models, and despite that EV sales still lag gas cars nationally today, consumer interest was strong (but also before crucial government tax credits that we believe will continue to drive people toward electric vehicles and help fuel market demand).

They had concerns, to be sure. Most people said they want vehicles that can match gasoline-powered vehicles in range, ease of ownership and cost. The sooner we can break down these three critical barriers, the sooner electric cars will become mainstream.

Range
Range is the single biggest barrier to EV acceptance. Just as demand for gas mileage doesn't go down when there are more gas stations, demand for better range won't ease even as charging infrastructure improves. People will still want to drive as long as possible between charges.

Most consumers surveyed during our clinics said they want at least 300 miles of range. And if you look at the market today, which is driven by early adapters, electric cars have hit an inflection point in demand, and the numbers bear that out. The vast majority of electric vehicles sold — almost 90% — are six models with the highest range of 238 miles or more — three Tesla models, the Chevrolet Bolt EV, the Hyundai Kona and the Kia Niro, according to IHS Markit data.

Lithium-ion batteries, which power virtually all electric cars on the road today, are rapidly improving, increasing range with each generation. At GM, we recently announced that our 2020 Chevrolet Bolt EV will have a range of 259 miles, a 21-mile improvement over the previous model. Range will continue to improve across the industry, and range anxiety will dissipate.

Charging infrastructure
Our research also shows that, among those who have considered buying an electric vehicle, but haven't, the lack of charging stations is the number one reason why.

For EVs to gain widespread acceptance, manufacturers, charging companies, industry groups and governments at all levels must work together to make public charging available in as many locations as possible. For example, we are seeing increased partnership activity between manufacturers and charging station companies, as well as construction companies that build large infrastructure projects, as the American EV boom approaches, with the goal of adding thousands of additional public charging stations in the United States.

Private charging stations are just as important. Nearly 80% of electric vehicle owners charge their vehicles at home, and almost 15% at work, with the rest at public stations, our research shows. Therefore, continuing to make charging easy and seamless is vital. To that end, more partnerships with companies that will install the chargers in consumers' homes conveniently and affordably will be a boon for both buyers and sellers.

Cost
Another benefit to EV ownership is a lower cost of operation. Most EV owners report that their average cost of operation is about one-third of what a gasoline-powered car owner pays. But the purchase price is typically significantly higher, and that's where we should see change as each generation of battery technology improves efficiency and reduces cost.

Looking forward, we think electric vehicle propulsion systems will achieve cost parity with internal combustion engines within a decade or sooner, and will only get better after that, driving sticker prices down and widening the appeal to the average consumer. That will be driven by a number of factors, including improvements with each generation of batteries and vehicles, as well as expected increased regulatory costs on gasoline and diesel engines.

Removing these barriers will lead to what I consider the ultimate key to widespread EV adoption — the emergence of the EV as a consumer's primary vehicle — not a single-purpose or secondary vehicle. That will happen when we as an industry are able to offer the utility, cost parity and convenience of today's internal combustion-based cars and trucks.

To get the electric vehicle to first-string status, manufacturers simply must make it as good or better than the cars, trucks and crossovers most people are used to driving today. And we must deliver on our promise of making affordable, appealing EVs in the widest range of sizes and body styles possible. When we do that, electric vehicle adoption and acceptance will be widespread, and it can happen sooner than most people think.

Mark Reuss is president of GM. The opinions expressed in this commentary are his own.

 

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Parisians vote to ban rental e-scooters from French capital by huge margin

Paris E-Scooter Ban: Voters back ending rental scooters after a public consultation, citing road safety, pedestrian clutter, and urban mobility concerns; impacts Lime, Dott, and Tier operations across the capital.

 

Key Points

A citywide prohibition on rental e-scooters, approved by voters, to improve safety, order, and walkability.

✅ Non-binding vote shows about 90% support citywide.

✅ About 15,000 rental scooters from Lime, Dott, Tier affected.

✅ Cites 2022 injuries, fatalities, and sidewalk clutter.

 

Parisians have voted to rid the streets of the French capital of rental electric scooters, with an overwhelming 90% of votes cast supporting a ban, official results show, amid a wider debate over the limits of the electric-car revolution and its real-world impact.

Paris was a pioneer when it introduced e-scooters, or trottinettes, in 2018 as the city’s authorities sought to promote non-polluting forms of urban transport, amid record EV adoption in France across the country.

But as the two-wheeled vehicles grew in popularity, especially among young people, and, with similar safety concerns prompting the TTC winter ban on lithium-ion e-bikes and scooters in Toronto, so did the number of accidents: in 2022, three people died and 459 were injured in e-scooter accidents in Paris.

In what was billed as a “public consultation” voters were asked: “For or against self-service scooters?”

Twenty-one polling stations were set up across the city and were open until 7pm local time. Although 1.6 million people are eligible to vote, turnout is expected to be low.

The ban won between 85.77% and 91.77% of the votes in the 20 Paris districts that published results, according to the City of Paris website on what was billed as a rare “public consultation” and prompted long queues at ballot boxes around the city. The vote was non-binding but city authorities have vowed to follow the result, echoing Britain's transport rethink that questions simple fixes.

Paris’s socialist mayor, Anne Hidalgo, has promoted cycling and bike-sharing but supported a ban on e-scooters, as France rolls out new EV incentive rules affecting Chinese manufacturers.

In an interview with Agence France-Presses last week, Hidalgo said “self-service scooters are the source of tension and worry” for Parisians and that a ban would “reduce nuisance” in public spaces, with broader benefits for air quality noted in EV use linked to fewer asthma ER visits in recent studies as well.

Paris has almost 15,000 e-scooters across its streets, operated by companies including Lime, Dott and Tier. Detractors argue that e-scooter users disrespect the rules of the road and regularly flout a ban on riding on pavements, even as France moves to discourage Chinese EV purchases to shape the broader mobility market. The vehicles are also often haphazardly parked or thrown into the River Seine.

In June 2021, a 31-year-old Italian woman was killed after being hit by an e-scooter with two passengers onboard while walking along the Seine.

“Scooters have become my biggest enemy. I’m scared of them,” Suzon Lambert, a 50-year-old teacher from Paris, told AFP. “Paris has become a sort of anarchy. There’s no space any more for pedestrians.”


Another Parisian told BFMTV: “It’s dangerous, and people use them badly. I’m fed up.”

Julian Sezgin, aged 15, said he often saw groups of two or three teenagers on e-scooters zooming past cars on busy roads. “I avoid going on e-scooters and prefer e-bikes as, in my opinion, they are safer and more efficient,” he told the Guardian.

Bianca Sclavi, an Italian who has lived in Paris for years, said the scooters go “too fast” and should be mechanically limited so they go slower. “They are dangerous because they zip in and out of traffic,” she said. “However, it is not as bad as when they first arrived … the most dangerous are the drunk tourists!”

 

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The Impact of AI on Corporate Electricity Bills

AI Energy Consumption strains corporate electricity bills as data centers and HPC workloads run nonstop, driving carbon emissions. Efficiency upgrades, renewable energy, and algorithm optimization help control costs and enhance sustainability across industries.

 

Key Points

AI Energy Consumption is the power used by AI compute and data centers, impacting costs and sustainability.

✅ Optimize cooling, hardware, and workloads to cut kWh per inference

✅ Integrate on-site solar, wind, or PPAs to offset data center power

✅ Tune models and algorithms to reduce compute and latency

 

Artificial Intelligence (AI) is revolutionizing industries with its promise of increased efficiency and productivity. However, as businesses integrate AI technologies into their operations, there's a significant and often overlooked impact: the strain on corporate electricity bills.

AI's Growing Energy Demand

The adoption of AI entails the deployment of high-performance computing systems, data centers, and sophisticated algorithms that require substantial energy consumption. These systems operate around the clock, processing massive amounts of data and performing complex computations, and, much like the impact on utilities seen with major EV rollouts, contributing to a notable increase in electricity usage for businesses.

Industries Affected

Various sectors, including finance, healthcare, manufacturing, and technology, rely on AI-driven applications for tasks ranging from data analysis and predictive modeling to customer service automation and supply chain optimization, while manufacturing is influenced by ongoing electric motor market growth that increases electrified processes.

Cost Implications

The rise in electricity consumption due to AI deployments translates into higher operational costs for businesses. Corporate entities must budget accordingly for increased electricity bills, which can impact profit margins and financial planning, especially in regions experiencing electricity price volatility in Europe amid market reforms. Managing these costs effectively becomes crucial to maintaining competitiveness and sustainability in the marketplace.

Sustainability Challenges

The environmental impact of heightened electricity consumption cannot be overlooked. Increased energy demand from AI technologies contributes to carbon emissions and environmental footprints, alongside rising e-mobility demand forecasts that pressure grids, posing challenges for businesses striving to meet sustainability goals and regulatory requirements.

Mitigation Strategies

To address the escalating electricity bills associated with AI, businesses are exploring various mitigation strategies:

  1. Energy Efficiency Measures: Implementing energy-efficient practices, such as optimizing data center cooling systems, upgrading to energy-efficient hardware, and adopting smart energy management solutions, can help reduce electricity consumption.

  2. Renewable Energy Integration: Investing in renewable energy sources like solar or wind power and energy storage solutions to enhance flexibility can offset electricity costs and align with corporate sustainability initiatives.

  3. Algorithm Optimization: Fine-tuning AI algorithms to improve computational efficiency and reduce processing times can lower energy demands without compromising performance.

  4. Cost-Benefit Analysis: Conducting thorough cost-benefit analyses of AI deployments to assess energy consumption against operational benefits and potential rate impacts, informed by cases where EV adoption can benefit customers in broader electricity markets, helps businesses make informed decisions and prioritize energy-saving initiatives.

Future Outlook

As AI continues to evolve and permeate more aspects of business operations, the demand for electricity will likely intensify and may coincide with broader EV demand projections that increase grid loads. Balancing the benefits of AI-driven innovation with the challenges of increased energy consumption requires proactive energy management strategies and investments in sustainable technologies.

Conclusion

The integration of AI technologies presents significant opportunities for businesses to enhance productivity and competitiveness. However, the corresponding surge in electricity bills underscores the importance of proactive energy management and sustainability practices. By adopting energy-efficient measures, leveraging renewable energy sources, and optimizing AI deployments, businesses can mitigate cost impacts, reduce environmental footprints, and foster long-term operational resilience in an increasingly AI-driven economy.

 

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Germany shuts down its last three nuclear power plants

Germany Nuclear Phase-Out ends power generation from reactors, prioritizing energy security, renewables, and emissions goals amid the Ukraine war, natural gas shortages, decommissioning plans, and climate change debates across Europe and the national power grid.

 

Key Points

Germany Nuclear Phase-Out ends reactors, shifting to renewables to balance energy security, emissions, climate goals.

✅ Three reactors closed: Emsland, Isar II, Neckarwestheim II

✅ Pivot to renewables, efficiency, and grid resilience

✅ Continued roles in fuel fabrication and decommissioning

 

Germany is no longer producing any electricity from nuclear power plants, a move widely seen as turning its back on nuclear for good.

Closures of the Emsland, Isar II, and Neckarwestheim II nuclear plants in Germany were expected. The country announced plans to phase out nuclear power in 2011. However, in the fall of 2022, with the Ukraine war constraining access to energy, especially in Europe, Germany decided to extend nuclear power operations for an additional few months to bolster supplies.

“This was a highly anticipated action. The German government extended the lifetimes of these plants for a few months but never planned beyond that,” David Victor, a professor of innovation and public policy at UC San Diego, said.

Responses to the closures ranged from aghast that Germany would shut down a clean source of energy production, especially as Europe is losing nuclear power just when it really needs energy. In contrast, the global response to anthropogenic climate change continues to be insufficient to celebratory that the country will avoid any nuclear accidents like those that have happened in other parts of the world.

A collection of esteemed scientists, including two Nobel laureates and professors from MIT and Columbia, made a last-minute plea in an open letter published on April 14 on the nuclear advocacy group’s website, RePlaneteers, to keep the reactors operating, reviving questions about a resurgence of nuclear energy in Germany today.

“Given the threat that climate change poses to life on our planet and the obvious energy crisis in which Germany and Europe find themselves due to the unavailability of Russian natural gas, we call on you to continue operating the last remaining German nuclear power plants,” the letter states.

The open letter states that the Emsland, Isar II, and Neckarwestheim II facilities provided more than 10 million German households with electricity, even as some officials argued that nuclear would do little to solve the gas issue then. That’s a quarter of the population.

“This is hugely disappointing, when a secure low carbon 24/7 source of energy such as nuclear was available and could have continued operation for another 40 years,” Henry Preston, spokesperson for the World Nuclear Association. “Germany’s nuclear industry has been world-class. All three reactors shut down at the weekend performed extremely well.”

Despite the shutdown, some segments of nuclear industrial processes will continue to operate. “Germany’s nuclear sector will continue to be first class in the wider nuclear supply chain in areas such as fuel fabrication and decommissioning,” Preston said.

While the open letter did not succeed in keeping the nuclear reactors open, it does underscore a crucial reason why nuclear power has been part of global energy conversations recently, with some arguing it is a needed option for climate policy after a generational lull in the construction of nuclear power plants: climate change.

Generating electricity with nuclear reactors does not create any greenhouse gases. And as global climate change response efforts continue to fall short of emission targets, atomic energy is getting renewed consideration, and Germany has even considered a U-turn on its phaseout amid renewed debate.

 

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