No injuries after transformer fire

By Marietta Times


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Crews from four area volunteer fire departments responded to a transformer fire at American Electric Power's Muskingum River Plant near Beverly recently.

The fire was caused by a transformer failure that occurred around 4:30 p.m. November 22, according to Suzanne Priore, AEP Ohio spokeswoman.

No employees were injured and no customers lost power, Priore said.

First units from Beverly's Volunteer Fire Department arrived at the scene within 13 minutes, according to firefighter Jim Ullman.

"There was a lot of heavy smoke, but the fire suppression system was working, so the fire was confined to the transformer," he said.

Ullman said crews were unable to begin dousing the transformer right away because electrical power was still flowing through the unit.

"We weren't going to put any water on the transformer until it was de-energized," he said.

Once the electricity was cut off, a truck from Morgan County's M&M Volunteer Fire Department applied foam to smother the blaze.

Washington County Sheriff Larry Mincks said around 6:15 p.m. that the fire was under control.

Priore said the company was doing an assessment of the cause of the fire.

In addition to the Beverly and M&M departments, volunteer units from Watertown and Barlow also responded, along with the AEP facility's own fire crews.

"It was a great example of how all of these departments work together," Ullman said, adding that local fire companies train at AEP and other area plants at least once a year to handle such emergencies.

A 31-year veteran with the Beverly fire department, Ullman said the power plant has its own fire response unit, so area fire companies are rarely called to the facility.

"This one was just too big for them to handle alone," he said.

Local fire departments also responded to the facility in January 2007 when an explosion killed the employee of a supplier who was delivering hydrogen to the plant. The explosion was caused by a massive release of hydrogen gas, which then ignited.

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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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Nunavut's electricity price hike explained

Nunavut electricity rate increase sees QEC raise domestic electricity rates 6.6% over two years, affecting customer rates, base rates, subsidies, and kWh overage charges across communities, with public housing exempt and territory-wide pricing denied.

 

Key Points

A 6.6% QEC hike over 2018-2019, affecting customer rates, subsidies, and kWh overage; public housing remains exempt.

✅ 3.3% on May 1, 2018; 3.3% on Apr 1, 2019

✅ Subsidy caps: 1,000 kWh Oct-Mar; 700 kWh Apr-Sep

✅ Territory-wide base rate denied; public housing exempt

 

Ahead of the Nunavut government's approval of the general rate increase for the Qulliq Energy Corporation, many Nunavummiut wondered how the change would impact their electricity bills.

QEC's request for a 6.6-per-cent increase was approved by the government last week. The increase will be spread out over two years, a pattern similar to BC Hydro's two-year rate plan, with the first increase (3.3 per cent) effective May 1, 2018. The remaining 3.3 per cent will be applied on April 1, 2019.

Public housing units, however, are exempt from the government's increase altogether.

The power corporation also asked for a territory-wide rate, so every community would pay the same base rate (we'll go over specific terms in a minute if you're not familiar with them). But that request was denied, even as Manitoba Hydro scaled back increases next year, and QEC will now take the next two years reassessing each community's base rate.

#google#

So, what does this mean for your home's power bill? Well, there's a few things you need to know, which we'll get to in a second.

But in essence, as long as you don't go over the government-subsidized monthly electricity usage limit, you're paying an extra 3.61 cents per kilowatt hour (kWh).

To be clear, we're talking about non-government domestic rates — basically, private homeowners — and those living in a government-owned unit but pay for their own power.

 

The basics

First, some quick terminology. The "base rate" term we're going to use (and used above) in this story refers to the community rate. As in, what QEC charges customers in every community. The "customer rate" is the rate customers actually pay, after the government's subsidy.

 

The first thing you need to know is everyone in Nunavut starts off by paying the same customer rate, unlike jurisdictions using a price cap to limit spikes.

That's because the government subsidizes electricity costs, and that subsidy is different in every community, because the base rate is different.

For example, Iqaluit's new base rate after the 3.3 per cent increase (remember, the 6.6 per cent is being applied over two years) is 56.69 cents per kWh, while Kugaaruk's base rate rose to 112.34 cents per kWh. Those, by the way, are the territory's lowest and highest respective base rates.

However, customers in both Iqaluit and Kugaaruk will each now pay 28.35 cents per kWh because, remember, the government subsidizes the base rates in every community.

Now, remember earlier we mentioned a "government-subsidized monthly electricity usage limit?" That's where customers in various communities start to pay different amounts.

As simply as we can explain it, the government will only cover so much electricity usage in a month, in every household.

Between October and March, the government will subsidize the first 1,000 kilowatt hours, and only 700 kilowatt hours from April to September. QEC says the average Nunavut home will use about 500 kilowatt hours every month over the course of a year.

But if your household goes over that limit, you're at the mercy of your community's base rate for any extra electricity you use. Homes in Kugaaruk in December, for instance, will have to pay that 122.34 cents for every extra kilowatt hour it uses, while homes in Iqaluit only have to pay 56.69 cents per kWh for its extra electricity.

That's where many Nunavummiut have criticized the current rate structure, because smaller communities are paying more for their extra costs than larger communities.

QEC had hoped — as it had asked for — to change the structure so every community pays the same base rate. So regardless of if people go over their electricity usage limits for the government subsidy, everyone would pay the same overage rates.

But the government denied that request.

 

New rate is actually lower

The one thing we should highlight, however, is the new rate after the increase is actually lower than what customers were paying in 2014.

For the past seven months, customers have been getting power from QEC at a discount, whereas Newfoundland customers began paying for Muskrat Falls during the same period, to different effect.

That's because when QEC sets its rates, it does so based on global oil price forecasts. Since 2014, the price of oil worldwide has slumped, and so QEC was able to purchase it at less than it had anticipated.

When that happens, and QEC makes more than $1 million within a six month period thanks to the lower oil prices, it refunds the excess profits back to customers through a discount on electricity base rates — a mechanism similar to a lump-sum credit used elsewhere — the government subsidy, however, doesn't change so the savings are passed on directly to customers.

Now, the 6.6 per cent increase to electricity rates, is actually being applied to the discounted base rate from the last seven months.

So again, while customers are paying more than they have been for the last seven months, it's lower than what they were paying in 2014.

Lastly, to be clear, all the figures used in this story are only for domestic non-government rates. Commercial rates and changes have not been explored in this story, given the differences in subsidy and rate application.

 

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UK's Energy Transition Stalled by Supply Delays

UK Clean Energy Supply Chain Delays are slowing decarbonization as transformer lead times, grid infrastructure bottlenecks, and battery storage contractors raise costs and risk 2030 targets despite manufacturing expansions by Siemens Energy and GE Vernova.

 

Key Points

Labor and equipment bottlenecks delay transformers and grid upgrades, risking the UK's 2030 clean power target.

✅ Transformer lead times doubled or tripled, raising project costs

✅ Grid infrastructure and battery storage contractors in short supply

✅ Firms expand capacity cautiously amid uncertain demand signals

 

The United Kingdom's ambitious plans to transition to clean energy are encountering significant obstacles due to prolonged delays in obtaining essential equipment such as transformers and other electrical components. These supply chain challenges are impeding the nation's progress toward decarbonizing its power sector by 2030, even as wind leads the power mix in key periods.

Supply Chain Challenges

The global surge in demand for renewable energy infrastructure, including large-scale storage solutions, has led to extended lead times for critical components. For example, Statera Energy's storage plant in Thurrock experienced a 16-month delay for transformers from Siemens Energy. Such delays threaten the UK's goal to decarbonize power supplies by 2030.

Economic Implications

These supply chain constraints have doubled or tripled lead times over the past decade, resulting in increased costs and straining the energy transition as wind became the main source of UK electricity in a recent milestone. Despite efforts to expand manufacturing capacity by companies like GE Vernova, Hitachi Energy, and Siemens Energy, the sector remains cautious about overinvesting without predictable demand, and setbacks at Hinkley Point C have reinforced concerns about delivery risks.

Workforce and Manufacturing Capacity

Additionally, there is a limited number of companies capable of constructing and maintaining battery sites, adding to the challenges. These issues underscore the necessity for new factories and a trained workforce to support the electrification plans and meet the 2030 targets.

Government Initiatives

In response to these challenges, the UK government is exploring various strategies to bolster domestic manufacturing capabilities and streamline supply chains while supporting grid reform efforts underway to improve system resilience. Investments in infrastructure and workforce development are being considered to mitigate the impact of global supply chain disruptions and advance the UK's green industrial revolution for next-generation reactors.

The UK's energy transition is at a critical juncture, with supply chain delays posing substantial risks to achieving decarbonization goals, including the planned end of coal power after 142 years for the UK. Addressing these challenges will require coordinated efforts between the government, industry stakeholders, and international partners to ensure a sustainable and timely shift to clean energy.

 

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U.S. Residents Averaged Fewer Power Outages in 2022

2022 U.S. Power Outage Statistics show lower SAIDI as fewer major events hit, with SAIFI trends, electric reliability, outage duration and frequency shaped by hurricanes, winter storms, vegetation, and utility practices across states.

 

Key Points

They report SAIDI and SAIFI for 2022, showing outage duration, frequency, and impacts of major weather events.

✅ 2022 SAIDI averaged 5.6 hours; SAIFI averaged 1.4 interruptions.

✅ Fewer major events lowered outage duration versus 2021.

✅ Hurricanes and winter storms drove long outages in several states.

 

In 2022, U.S. electricity consumers on average experienced about 5.5 hours of power disruptions, a decrease from nearly two hours compared to 2021. This information comes from the latest Annual Electric Power Industry Report. The reduction in yearly power interruptions primarily resulted from fewer significant events in 2022 compared to the previous year, and utility disaster planning continues to support grid resilience as severe weather persists.

Since 2013, excluding major events, the annual average duration of power interruptions has consistently hovered around two hours. Factors contributing to major power disruptions include weather-related incidents, vegetation interference near power lines, and specific utility practices, while pandemic-related grid operations influenced workforce planning more than outage frequency. To assess the reliability of U.S. electric utilities, two key indexes are utilized:

  • The System Average Interruption Duration Index (SAIDI) calculates the total length (in hours) an average customer endures non-brief power interruptions over a year.
  • The System Average Interruption Frequency Index (SAIFI) tracks the number of times interruptions occur.

The influence of major events on electrical reliability is gauged by comparing affected states' SAIDI and SAIFI values against the U.S. average, which was 5.6 hours of outages and 1.4 outages per customer in 2022. The year witnessed 18 weather-related disasters in the U.S., each resulting in over $1 billion in damages, and COVID-19 grid assessments indicated the electricity system was largely safe from pandemic impacts. Noteworthy major events include:

  • Hurricane Ian in September 2022, leaving over 2.6 million Floridian customers without electricity, with restoration in some areas taking weeks rather than days.
  • Hurricane Nicole in November 2022, causing over 300,000 Florida customers to lose power.
  • Winter Storm Elliott in December 2022, affecting over 1.5 million customers in multiple states including Texas where utilities struggled after Hurricane Harvey to restore service, and Florida, and bringing up to four feet of snow in parts of New York.

In 2022, states like Florida, West Virginia, Maine, Vermont, and New Hampshire experienced the most prolonged power interruptions, with New Hampshire averaging 10.3 hours and Florida 19.1 hours, and FPL's Irma storm response illustrates how restoration can take days or weeks in severe cases. Conversely, the District of Columbia, Delaware, Rhode Island, Nebraska, and Iowa had the shortest total interruptions, with the District of Columbia averaging just 34 minutes and Iowa 85 minutes.

The frequency of outages, unlike their duration, is more often linked to non-major events. Across the nation, Alaska recorded the highest number of power disruptions per customer (averaging 3.5), followed by several heavily forested states like Tennessee and Maine. Power outages due to falling tree branches are common, particularly during winter storms that burden tree limbs and power lines, as seen in a North Seattle outage affecting 13,000 customers. The District of Columbia stood out with the shortest and fewest outages per customer.

 

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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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Notley announces plans to move Alberta's electricity grid to net-zero by 2035 if elected

Alberta NDP Net-Zero Electricity Plan targets a 2035 clean grid, expands renewable energy, cuts emissions, creates jobs, and boosts economic diversification and rural connectivity, aligning Alberta with Canada's 2050 climate goals.

 

Key Points

A policy to achieve a net-zero electricity grid by 2035, advance renewable energy, cut emissions, and grow jobs.

✅ Net-zero electricity grid target set for 2035

✅ Scales renewable energy and emissions reductions

✅ Focus on jobs, rural connectivity, and diversification

 

Ahead of the NDP’s weekend convention, Alberta’s Opposition leader has committed to transforming the province’s energy sector and moving the province’s electricity grid to net-zero by 2035, despite debate over the federal 2035 net-zero electricity grid target in other provinces, should an orange crush wash over Alberta in the next election.

NDP Leader Rachel Notley said they would achieve this as part of the path towards Canada’s 2050 net-zero emissions goal, aligning with broader clean grids trends, which will help preserve and create jobs in the province.

“I think it’s an important goal. It’s a way of framing the work that we’re going to do within our energy industry and our energy sector, including how Alberta produces and pays for electricity going forward,” said Notley. “We know the world is moving toward different objectives and we still have the ability to lead on that front, but we need to lay down the markers early and focus on reaching those goals.”

Premier Jason Kenney has previously called the 2050 target “aspirational,” and, as the electricity sector faces profound change in Alberta, Notley said, once the work begins, it’s likely they would meet the objective earlier than proposed to reduce greenhouse gas emissions that contribute to global warming.

This is just one key issue that will be addressed at the party’s online convention, which is the first since the NDP’s defeat by the UCP in the last provincial election. Notley said other key issues will address economic diversification, economic recovery, job creation and social issues, as Alberta’s electricity market is headed for a reshuffle too. The focus, as she puts it, is “jobs, jobs, jobs.”

Attendees will also debate more than 140 policy resolutions over the weekend, including the development of a safe supply drug policy, banning coal mining in the Rocky Mountains and providing paid sick leave for workers.

Outside the formal agenda, debate over electricity market competition continues in Alberta as stakeholders weigh options.

Notley said an area of growing focus for the NDP will be rural Alberta, which is typically a conservative stronghold. One panel presentation during the convention will focus on connecting and building relationships with rural Albertans and growing the NDP profile in those areas.

“We think that we have a lot to offer rural Alberta and that, quite frankly, the UCP and (Kenney), in particular, have profoundly taken rural Alberta for granted,” she said. “Because of that, we think with a renewed energy amongst our membership to go out to parts of the province where we haven’t been previously as active, and talk about what they have been subjected to in the last two years, that we have huge opportunities there.”

Delegates will be asked to support a call for high-speed internet coverage across Alberta, which would remove barriers to access in rural Alberta and Indigenous communities, said the convention guidebook.

The convention comes as the NDP has a wide lead on the UCP, according to the latest polls. A Leger online survey of 1,001 Albertans conducted between March 5 to 8 found 40 per cent of respondents support the NDP, compared to just 20 per cent for the UCP.

Notley said it’s “encouraging” to see, but they aren’t taking anything for granted.

“I’ve always believed that Alberta Democrats have to work twice as hard as anybody else in the political spectrum, or the political arena,” she said. “So what we’re going to do is continue to do exactly what we have been, not only being a strong and I would argue fearless Opposition, but also trying to match every oppositional position with something that is propositional — offering Albertans a different vision, including an Alberta path to clean electricity where possible.”

 

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