NIST seeks input on Smart Grid Cybersecurity Guidelines

NB Power copper thefts highlight risks at high-voltage substations, with vandalism, fatalities, infrastructure damage, ratepayer costs, and law enforcement alerts tied to metal prices, stolen electricity, and safety concerns across New Brunswick and Nova Scotia.

Key Points

Substation metal thefts causing fatalities, outages, safety risks, and higher costs that impact NB ratepayers.

✅ Spike aligns with copper price near $3 per pound

✅ Fatal break-ins at high-voltage facilities in Bathurst

✅ Repairs, delays, and safety risks for crews, customers

New Brunswick's power utility is urging people to stay away from its substations, saying the valuable copper they contain is proving hard to resist for thieves.

NB Power has seen almost as many incidents of theft and vandalism to its property in April and May of this year, than in all of last year.

In the 2018-2019 fiscal year, the utility recorded 16 cases of theft and/or vandalism.

In April and May, there have already been 13 cases.

One of those was a fatal incident in Bathurst. On April 13, a 41-year-old man was found unresponsive and later died, after breaking into a substation. It was the second fatality linked to a break-in at an NB Power facility in 10 years.

The investigation is still ongoing, but NB Power believes the man was trying to steal copper.

The power utility has been ramping up its efforts -- finding alternate ways to secure its properties, and educate the public -- on the dangers of copper theft, as utilities work to adapt to climate change that can exacerbate severe weather.

“We really, really, really want to stress that if you’re hitting the wrong wire, cutting the wrong wire, breaking in to or cutting fences, a lot of very bad things can happen,” said NB Power spokesperson Marc Belliveau.

In the 2017-2018 fiscal year, there were 24 recorded cases of theft and/or vandalism.

It also comes at a financial cost for NB Power, and ratepayers -- on average, $330,000 a year. About two-thirds of that is copper. The rest is vehicle break-ins or stolen electricity.

“We’ve done analysis,” Belliveau said. “Often the number of break-ins correspond with the price spiking in copper. So, right now, copper’s about $3 a pound. If it was half of that, there might be half as many incidents.”

New Brunswick Public Safety Minister Carl Urquhart says he knows the utility and police are working to dissuade people from the dangers of the theft, and notes that debates around Site C dam stability issues reflect broader infrastructure safety concerns.

“We all know of incident after incident of major injuries and death caused by, simply by, copper,” he said.

Last November, a Dawson Settlement substation was targeted during a major, storm-related power outage in the province.

It meant NB Power had to divert crews to fix and secure the substation, delaying restoration times for some residents and underscoring efforts to improve local reliability across the grid.

Belliveau says that’s “most frustrating.”

“We’re really trying to take a more proactive approach. And certainly, we encourage people that if you know somebody who’s thinking of doing something like that, to really try and talk them out of it because it’s unbelievably dangerous to break in to a substation,” he said.

Nova Scotia Power, connected through the Maritime Link, was not able to provide details on thefts at their substations, but spokesman David Rodenhiser said "the value of the stolen copper is minor in comparison to the risk that’s created when thieves break into our high-voltage electrical substations."

It's not just risky for the people breaking in, and public opposition to projects like Site C underscores broader community safety concerns.

"It also puts the safety of the workers who maintain our substations at risk, because when thieves steal copper, the protective safety devices in the substations don’t work properly," Rodenhiser said.

Additionally, in Nova Scotia, projects like the Maritime Link have advanced regional transmission, and Nova Scotia Power’s copper components have identifying markers, which make that copper difficult to fence. Anyone who buys or sells stolen propery is at risk of criminal charges.

Related News

• Electricity Forum News

• Overhead T&D News

Hourly Electricity Emissions Tracking maps grid balancing areas, embodied emissions, and imports/exports, revealing carbon intensity shifts across PJM, ERCOT, and California ISO, and clarifying renewable energy versus coal impacts on health and climate.

Key Points

An hourly method tracing generation, flows, and embodied emissions to quantify carbon intensity across US balancing areas.

✅ Hourly traces of imports/exports and generation mix

✅ Consumption-based carbon intensity by balancing area

✅ Policy insights for renewables, coal, health costs

In the United States, electricity generation accounts for nearly 30% of our carbon emissions. Some states have responded to that by setting aggressive renewable energy standards; others are hoping to see coal propped up even as its economics get worse. Complicating matters further is the fact that many regional grids are integrated, and as America goes electric the stakes grow, meaning power generated in one location may be exported and used in a different state entirely.

Tracking these electricity exports is critical for understanding how to lower our national carbon emissions. In addition, power from a dirty source like coal has health and environment impacts where it's produced, and the costs of these aren't always paid by the parties using the electricity. Unfortunately, getting reliable figures on how electricity is produced and where it's used is challenging, even for consumers trying to find where their electricity comes from in the first place, leaving some of the best estimates with a time resolution of only a month.

Now, three Stanford researchers—Jacques A. de Chalendar, John Taggart, and Sally M. Benson—have greatly improved on that standard, and they have managed to track power generation and use on an hourly basis. The researchers found that, of the 66 grid balancing areas within the United States, only three have carbon emissions equivalent to our national average, and they have found that imports and exports of electricity have both seasonal and daily changes. de Chalendar et al. discovered that the net results can be substantial, with imported electricity increasing California's emissions/power by 20%.

Hour by hour
To figure out the US energy trading landscape, the researchers obtained 2016 data for grid features called balancing areas. The continental US has 66 of these, providing much better spatial resolution on the data than the larger grid subdivisions. This doesn't cover everything—several balancing areas in Canada and Mexico are tied in to the US grid—and some of these balancing areas are much larger than others. The PJM grid, serving Pennsylvania, New Jersey, and Maryland, for example, is more than twice as large as Texas' ERCOT, in a state that produces and consumes the most electricity in the US.

Despite these limitations, it's possible to get hourly figures on how much electricity was generated, what was used to produce it, and whether it was used locally or exported to another balancing area. Information on the generating sources allowed the researchers to attach an emissions figure to each unit of electricity produced. Coal, for example, produces double the emissions of natural gas, which in turn produces more than an order of magnitude more carbon dioxide than the manufacturing of solar, wind, or hydro facilities. These figures were turned into what the authors call "embodied emissions" that can be traced to where they're eventually used.

Similar figures were also generated for sulfur dioxide and nitrogen oxides. Released by the burning of fossil fuels, these can both influence the global climate and produce local health problems.

Huge variation
The results were striking. "The consumption-based carbon intensity of electricity varies by almost an order of magnitude across the different regions in the US electricity system," the authors conclude. The low is the Bonneville Power grid region, which is largely supplied by hydropower; it has typical emissions below 100kg of carbon dioxide per megawatt-hour. The highest emissions come in the Ohio Valley Electric region, where emissions clear 900kg/MW-hr. Only three regional grids match the overall grid emissions intensity, although that includes the very large PJM (where capacity auction payouts recently fell), ERCOT, and Southern Co balancing areas.

Most of the low-emissions power that's exported comes from the Pacific Northwest's abundant hydropower, while the Rocky Mountains area exports electricity with the highest associated emissions. That leads to some striking asymmetries. Local generation in the hydro-rich Idaho Power Company has embodied emissions of only 71kg/MW-hr, while its imports, coming primarily from Rocky Mountain states, have a carbon content of 625kg/MW-hr.

The reliance on hydropower also makes the asymmetry seasonal. Local generation is highest in the spring as snow melts, but imports become a larger source outside this time of year. As solar and wind can also have pronounced seasonal shifts, similar changes will likely be seen as these become larger contributors to many of these regional grids. Similar things occur daily, as both demand and solar production (and, to a lesser extent, wind) have distinct daily profiles.

The Golden State
California's CISO provides another instructive case. Imports represent less than 30% of its total electric use in 2016, yet California electricity imports provided 40% of its embodied emissions. Some of these, however, come internally from California, provided by the Los Angeles Department of Water and Power. The state itself, however, has only had limited tracking of imported emissions, lumping many of its sources as "other," and has been exporting its energy policies to Western states in ways that shape regional markets.

Overall, the 2016 inventory provides a narrow picture of the US grid, as plenty of trends are rapidly changing our country's emissions profile, including the rise of renewables and the widespread adoption of efficiency measures and other utility trends in 2017 that continue to evolve. The method developed here can, however, allow for annual updates, providing us with a much better picture of trends. That could be quite valuable to track things like how the rapid rise in solar power is altering the daily production of clean power.

More significantly, it provides a basis for more informed policymaking. States that wish to promote low-emissions power can use the information here to either alter the source of their imports or to encourage the sites where they're produced to adopt more renewable power. And those states that are exporting electricity produced primarily through fossil fuels could ensure that the locations where the power is used pay a price that includes the health costs of its production.

Related News

• Electricity Forum News

• Energy Policy News

AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

Related News

• Electricity Forum News

• Grid Technologies News

Wind And Solar Energy Growth is reshaping the global power mix, accelerating grid decarbonization as coal declines; boosted by pandemic demand drops, renewables now supply near 10% of electricity, advancing climate targets toward net-zero trajectories.

Key Points

It is the rise in wind and solar's share of electricity, driving decarbonization and displacing coal globally.

✅ Share doubled in five years across 83% of global electricity

✅ Coal's share fell; renewables neared 10% in H1 2020

✅ Growth still insufficient for 1.5 C; needs ~13% coal cuts yearly

Wind and solar energy doubled its share of the global power mix over the last five years, with renewable power records underscoring the trend, moving the world closer to a path that would limit the worst effects of global warming.

The sources of renewable energy made up nearly 10% of power in most parts of the world in the first half of this year, according to analysis from U.K. environmental group Ember, while globally over 30% of electricity is renewable in broader assessments.

That decarbonization of the power grid was boosted this year as shutdowns to contain the coronavirus reduced demand overall, leaving renewables to pick up the slack.

Ember analyzed generation in 48 countries that represent 83% of global electricity. The data showed wind and solar power increased 14% in the first half of 2020 compared with the same period last year while global demand fell 3% because of the impact of the coronavirus.

At the same time that wind turbines and solar panels have proliferated, coal’s share of the mix has fallen around the world. In some, mainly western European countries, where renewables surpassed fossil fuels, coal has been all but eliminated from electricity generation.

China relied on the dirtiest fossil fuel for 68% of its power five years ago, and solar PV growth in China has accelerated since then. That share dipped to 62% this year and renewables made up 10% of all electricity generated.

Still, the growth of renewables may not be going fast enough for the world to hit its climate goals, even as the U.S. is projected to have one-fourth of electricity from renewables soon, and coal is still being burnt for power in many parts of the world.

Coal use needs to fall by about 79% by 2030 from last year’s levels - a fall of 13% every year throughout the decade to come, and in the U.S. renewable electricity surpassed coal in 2022, Ember said.

New installations of wind farms are set to hold more or less steady in the next five years, according to data from BloombergNEF on deployment trends. That will make it difficult to realize a sustained pace of doubling renewable power every five years.

“If your expectations are that we need to be on target for 1.5 degrees, clearly we’re not going fast enough,” said Dave Jones, an analyst at Ember. “We’re not on a trajectory where we’re reducing coal emissions fast enough.”

Related News

• Electricity Forum News

• Renewable Energy News

5G Energy Costs highlight base station power consumption, carrier electricity bills, and carbon emissions in China, while advances in energy efficiency, sleep modes, and cooling systems aim to optimize low-latency networks and reduce operational expenses.

Key Points

5G energy costs rise with power-hungry base stations, yet per-bit efficiency and sleep modes help cut bills.

✅ 5G base stations use ~4x 4G electricity

✅ Per-bit 5G energy efficiency is ~4x better than 4G

✅ Sleep modes and advanced cooling reduce OPEX and emissions

As 5G developers look desperately for a "killer app" to prove the usefulness of the superfast wireless technology, mobile carriers in China are complaining about the high energy cost of 5G signal towers.

And the situation is, according to experts, more complicated than many have thought.

The costly 5G

5G technology can be 10 or more times faster than 4G and significantly more responsive to users' input, but the speed comes at a cost.

A 5G base station consumes "four times more electricity" than its 4G counterpart, said Ding Haiyu, head of wireless and terminals at the China Mobile Research Institute, during a symposium on 5G and carbon neutrality in Beijing, a key focus for countries pursuing a net-zero grid by 2050 worldwide.

But concerning each bit of data transmitted, 5G is four times more energy-efficient than 4G, according to Ding.

This means that mobile carriers should fully occupy their 5G network for as long time as possible, but that can be hard at this moment, as many people are still holding 4G smartphones.

"When the 5G stations are running without people using them, they are really electricity guzzlers," said Zhu Qingfeng, head of power supply design at China Information Technology Designing and Consulting Institute Co., Ltd., who represents China Unicom at the symposium. "Each of the three telecom carrier giants are emitting about ten million tonnes of carbon in the air."

"We have to shut down some 5G base stations at night to reduce emission," he added.

Some utilities are testing fuel cell solutions to keep backup batteries charged much longer, supporting network resilience at lower emissions.

A representative from China Telecom said electricity bills of the nationwide carrier reached a new high of 100 billion yuan (about $15 billion) a year, mirroring the power challenges for utilities as data center demand booms elsewhere.

Getting better

While admitting the excessive cost of 5G, experts at the symposium also agreed that the situation is improving, even as climate pressures on the grid continue to mount.

Ding listed a series of recent technologies that is helping reduce the energy use of 5G, including chips of better process, automatic sleeping and wake-up of base stations and liquid nitrogen-based cooling system, and superconducting cables as part of ongoing upgrades.

"We are aiming at halving the 5G electricity cost to only two times of 4G in two years," Ding said.

Experts also discussed the possibility of making use of 5G's low latency features to help monitoring the electricity grid, thus making the digital grid smarter and more cost effective.

G's energy cost is seen as a hot topic for the incoming World 5G Convention in Beijing in early August, alongside smart grid transformation themes. Stay tuned to CGTN Digital as we bring you the latest news about the convention and 5G technology.
 

Related News

• Electricity Forum News

• Grid Technologies News

Mississauga Fuel Cell Electric Buses advance zero-emission public transit, leveraging hydrogen fuel cells, green hydrogen supply, rapid refueling, and extended range to cut GHGs, improve air quality, and modernize sustainable urban mobility.

Key Points

Hydrogen fuel cell buses power electric drivetrains for zero-emission service, long range, and quick refueling.

✅ Zero tailpipe emissions improve urban air quality

✅ Longer route range than battery-electric buses

✅ Hydrogen fueling is rapid, enabling high uptime

Mississauga, Ontario, is gearing up for a significant shift in its public transportation landscape with the introduction of fuel cell electric buses (FCEBs). This initiative marks a pivotal step toward reducing greenhouse gas emissions and enhancing the sustainability of public transport in the region. The city, known for its vibrant urban environment and bustling economy, is making strides to ensure that its transit system evolves in harmony with environmental goals.

The recent announcement highlights the commitment of Mississauga to embrace clean energy solutions. The integration of FCEBs is part of a broader strategy to modernize the transit fleet while tackling climate change. As cities around the world seek to reduce their carbon footprints, Mississauga’s initiative aligns with global trends toward greener urban transport, where projects like the TTC battery-electric buses demonstrate practical pathways.

What are Fuel Cell Electric Buses?

Fuel cell electric buses utilize hydrogen fuel cells to generate electricity, which powers the vehicle's electric motor. Unlike traditional buses that run on diesel or gasoline, FCEBs produce zero tailpipe emissions, making them an environmentally friendly alternative. The only byproducts of their operation are water and heat, significantly reducing air pollution in urban areas.

The technology behind FCEBs is becoming increasingly viable as hydrogen production becomes more sustainable. With the advancement of green hydrogen production methods, which use renewable energy sources to create hydrogen, and because some electricity in Canada still comes from fossil fuels, the environmental benefits of fuel cell technology are further amplified. Mississauga’s investment in these buses is not only a commitment to cleaner air but also a boost for innovative technology in the transportation sector.

Benefits for Mississauga

The introduction of FCEBs is poised to offer numerous benefits to the residents of Mississauga. Firstly, the reduction in greenhouse gas emissions aligns with the city’s climate action goals and complements Canada’s EV goals at the national level. By investing in cleaner public transit options, Mississauga is taking significant steps to improve air quality and combat climate change.

Moreover, FCEBs are known for their efficiency and longer range compared to battery electric buses, such as the Metro Vancouver fleet now operating across the region, commonly used in Canadian cities. This means they can operate longer routes without the need for frequent recharging, making them ideal for busy transit systems. The use of hydrogen fuel can also result in shorter fueling times compared to electric charging, enhancing operational efficiency.

In addition to environmental and operational advantages, the introduction of these buses presents economic opportunities. The deployment of FCEBs can create jobs in the local economy, from maintenance to hydrogen production facilities, similar to how St. Albert’s electric buses supported local capabilities. This aligns with broader trends of sustainable economic development that prioritize green jobs.

Challenges Ahead

While the potential benefits of FCEBs are clear, the transition to this technology is not without its challenges. One of the main hurdles is the establishment of a robust hydrogen infrastructure. To support the operation of fuel cell buses, Mississauga will need to invest in hydrogen production, storage, and fueling stations, much as Edmonton’s first electric bus required dedicated charging infrastructure. Collaboration with regional and provincial partners will be crucial to develop this infrastructure effectively.

Additionally, public acceptance and awareness of hydrogen technology will be essential. As with any new technology, there may be skepticism regarding safety and efficiency. Educational campaigns will be necessary to inform the public about the advantages of FCEBs and how they contribute to a more sustainable future, and recent TTC’s battery-electric rollout offers a useful reference for outreach efforts.

Looking Forward

As Mississauga embarks on this innovative journey, the introduction of fuel cell electric buses signifies a forward-thinking approach to public transportation. The city’s commitment to sustainability not only enhances its transit system but also sets a precedent for other municipalities to follow.

In conclusion, the shift towards fuel cell electric buses in Mississauga exemplifies a significant leap toward greener public transport. With ongoing efforts to tackle climate change and improve urban air quality, Mississauga is positioning itself as a leader in sustainable transit solutions. The future looks promising for both the city and its residents as they embrace cleaner, more efficient transportation options. As this initiative unfolds, it will be closely watched by other cities looking to implement similar sustainable practices in their own transit systems.

Related News

• Electricity Forum News

• EV Infrastructure News