First-quarter lighting data appears dim

By Electricity Forum


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“Troubling” is how the National Lighting Bureau (NLB) describes first-quarter-2008 NEMA Lighting Systems Index data.

The Index, established in 1998, is a composite measure of lamps, luminaires, ballasts, emergency lighting, exit signs, and other lighting products shipped nationally and internationally from the United States by the 430 companies that comprise the National Electrical Manufacturers Association (NEMA).

NEMA members manufacture a wide range of products used in the generation, transmission, distribution, and control of electricity, as well as innumerable end-use products in addition to those used in lighting.

The value of NEMA membersÂ’ annual shipments totals $100 billion.

According to NLB Communications Director John P. Bachner, “The latest Index results exceeded fourth-quarter-2007 results by 1.1%, due principally to increased emergency lighting equipment and miniature lamp shipments. Overall, however, the U.S. lighting market remained depressed for the second quarter in a row. The index was down more than five percent from its year-ago level.”

The near-term future does not seem to promise a rebound, Bachner commented. Particularly troubling is the slowdown in nonresidential construction, which, for the past year, has buoyed overall construction activity despite severe erosion in the residential sector.

According to NEMA Economic Analysis Director Brian Lego, “Data from the first quarter of 2008 show overall spending on commercial, industrial and other related nonresidential buildings sank by its largest annualized rate in nearly three years.”

Even more trouble could lie ahead, Lego said. He noted that the American Institute of Architects’ billings index, a forward-looking indicator, slid to an all-time low, “with readings for firms specializing in commercial and industrial work especially weak.

Overall, tighter lending standards, slower profit growth, rising energy costs, and a multitude of other financial and economic concerns pose significant headwinds to nonresidential construction activity.”

As for residential construction, the general consensus seems to be that conditions are unlikely to stabilize before late 2008. And even then, Lego commented, “any improvements will be slow and modest at best… as high inventory levels keep a lid on prices and construction activity.”

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China power cuts: What is causing the country's blackouts?

China Energy Crisis drives electricity shortages, power cuts, and blackouts as coal prices surge, carbon-neutrality rules tighten, and manufacturing hubs ration energy, disrupting supply chains and industrial output ahead of winter demand peaks.

 

Key Points

A power shortfall from costly coal, price caps, and emissions targets, causing blackouts and industrial rationing.

✅ Coal prices soar while electricity tariffs are capped

✅ Factories in northeast hubs face rationing and downtime

✅ Supply chains risk delays ahead of winter demand

 

China is struggling with a severe shortage of electricity which has left millions of homes and businesses hit by power cuts.

Blackouts are not that unusual in the country but this year a number of factors have contributed to a perfect storm for electricity suppliers, including surging electricity demand globally.

The problem is particularly serious in China's north eastern industrial hubs as winter approaches - and is something that could have implications for the rest of the world.

Why has China been hit by power shortages?
The country has in the past struggled to balance electricity supplies with demand, which has often left many of China's provinces at risk of power outages.

During times of peak power consumption in the summer and winter the problem becomes particularly acute.

But this year a number of factors have come together to make the issue especially serious.

As the world starts to reopen after the pandemic, demand for Chinese goods is surging and the factories making them need a lot more power, highlighting China's electricity appetite in recent months.

Rules imposed by Beijing as it attempts to make the country carbon neutral by 2060 have seen coal production slow, even as the country still relies on coal for more than half of its power and as low-emissions generation is set to cover most global demand growth.

And as electricity demand has risen, the price of coal has been pushed up.

But with the government strictly controlling electricity prices, coal-fired power plants are unwilling to operate at a loss, with many drastically reducing their output instead.

Who is being affected by the blackouts?
Homes and businesses have been affected by power cuts as electricity has been rationed in several provinces and regions.

A coal-burning power plant can be seen behind a factory in China"s Inner Mongolia Autonomous Region

The state-run Global Times newspaper said there had been outages in four provinces - Guangdong in the south and Heilongjiang, Jilin and Liaoning in the north east. There are also reports of power cuts in other parts of the country.

Companies in major manufacturing areas have been called on to reduce energy usage during periods of peak demand or limit the number of days that they operate.

Energy-intensive industries such as steel-making, aluminium smelting, cement manufacturing and fertiliser production are among the businesses hardest hit by the outages.

What has the impact been on China's economy?
Official figures have shown that in September 2021, Chinese factory activity shrunk to the lowest it had been since February 2020, when power demand dropped as coronavirus lockdowns crippled the economy.

Concerns over the power cuts have contributed to global investment banks cutting their forecasts for the country's economic growth.

Goldman Sachs has estimated that as much as 44% of the country's industrial activity has been affected by power shortages. It now expects the world's second largest economy to expand by 7.8% this year, down from its previous prediction of 8.2%.

Globally, the outages could affect supply chains, including solar supply chains as the end-of-the-year shopping season approaches.

Since economies have reopened, retailers around the world have already been facing widespread disruption amid a surge in demand for imports.

China's economic planner, the National Development and Reform Commission (NDRC), has outlined a number of measures to resolve the problem, with energy supplies in the northeast of the country as its main priority this winter.

The measures include working closely with generating firms to increase output, ensuring full supplies of coal and promoting the rationing of electricity.

The China Electricity Council, which represents generating firms, has also said that coal-fired power companies were now "expanding their procurement channels at any cost" in order to guarantee winter heat and electricity supplies.

However, finding new sources of coal imports may not be straightforward.

Russia is already focused on its customers in Europe, Indonesian output has been hit by heavy rains and nearby Mongolia is facing a shortage of road haulage capacity,

Are energy shortages around the world connected?
Power cuts in China, UK petrol stations running out of fuel, energy bills jumping in Europe, near-blackouts in Japan and soaring crude oil, natural gas and coal prices on wholesale markets - it would be tempting to assume the world is suddenly in the grip of a global energy drought.

However, it is not quite as simple as that - there are some distinctly different issues around the world.

For example, in the UK petrol stations have run dry as motorists rushed to fill up their vehicles over concerns that a shortage of tanker drivers would mean fuel would soon become scarce.

Meanwhile, mainland Europe's rising energy bills and record electricity prices are due to a number of local factors, including low stockpiles of natural gas, weak output from the region's windmills and solar farms and maintenance work that has put generating operations out of action.
 

 

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5 ways Texas can improve electricity reliability and save our economy

Texas Power Grid Reliability faces ERCOT blackouts and winter storm risks; solutions span weatherization, natural gas coordination, PUC-ERCOT reform, capacity market signals, demand response, grid batteries, and geothermal to maintain resilient electricity supply.

 

Key Points

Texas Power Grid Reliability is ERCOT's ability to keep electricity flowing during extreme weather and demand spikes.

✅ Weatherize power plants and gas supply to prevent freeze-offs

✅ Merge PUC and Railroad Commission for end-to-end oversight

✅ Pay for firm capacity, demand response, and grid storage

 

The blackouts in February shined a light on the fragile infrastructure that supports modern life. More and more, every task in life requires electricity, and no one is in charge of making sure Texans have enough.

Of the 4.5 million Texans who lost power last winter, many of them also lost heat and at least 100 froze to death. Wi-Fi stopped working and phones soon lost their charges, making it harder for people to get help, find someplace warm to go or to check in on loved ones.

In some places pipes froze, and people couldn’t get water to drink or flush after power and water failures disrupted systems, and low water pressure left some health care facilities unable to properly care for patients. Many folks looking for gasoline were out of luck; pumps run on electricity.

But rather than scouting for ways to use less electricity, we keep plugging in more things. Automatic faucets and toilets, security systems and locks. Now we want to plug in our cars, so that if the grid goes down, we have to hope our Teslas have enough juice to get to Oklahoma.

The February freeze illuminated two problems with electricity sufficiency. First, power plants had mechanical failures, triggering outages for days. But also, Texans demanded a lot more electricity than usual as heaters kicked on because of the cold. The ugly truth is, the Texas power grid probably couldn’t have generated enough electricity to meet demand, even if the plants kept whirring. And that is what should chill us now.

The stories of the people who died because the electricity went out during the freeze are difficult to read. A paletero and cotton-candy vendor well known in Old East Dallas, Leobardo Torres Sánchez, was found dead in his armchair, bundled in quilts beside two heaters that had no power.

Arnulfo Escalante Lopez, 41, and Jose Anguiano Torres, 28, died from carbon monoxide poisoning after using a gas-powered generator to heat their apartment in Garland.

Pramod Bhattarai, 23, a college student from Nepal, died from carbon monoxide after using a charcoal grill to heat his home in Houston, according to news reports. And Loan Le, 75; Olivia Nguyen, 11; Edison Nguyen, 8; and Colette Nguyen, 5, died in Sugar Land after losing control of a fire they started in the fireplace to keep warm.

A 65-year-old San Antonio man with esophageal cancer died after power outages cut off supply from his oxygen machine. And local Abilene media reported that a man died in a local hospital when a loss of water pressure prevented staff from treating him.

Gloria Jones of Hillsboro, 87, was living by herself, healthy and social. According to the Houston Chronicle, as the cold weather descended, she told her friends and family she was fine. But when her children checked on her after she didn’t answer her phone, they found her on the floor beside her bed. Hospital workers tried to warm her, but they soon pronounced her dead.

Officials said in July that 210 people died because of the freezing weather, including those who died in car crashes and other weather-related causes, but that figure will be updated. The Department of State Health Services said most of those deaths were due to hypothermia.


Policy recommendation: Weatherize power plants and fuel suppliers

Texas could have avoided those deaths if power plants had worked properly. It’s mechanically possible to generate electricity in freezing temperatures; the Swedes and Finns have electricity in winter. But preparing equipment for the winter costs money, and now that the Public Utility Commission set new requirements for plant owners to weatherize equipment, we expect better reliability.

The PUC officials certainly expect better performance. Chairman Peter Lake earlier this month promised: “We go into this winter knowing that because of all these efforts the lights will stay on.”

Yet, there’s no matching requirement to weatherize key fuel supplies for natural gas-fired power plants. While the PUC and the Electric Reliability Council of Texas were busy this year coming up with standards and enforcement processes, the Texas Railroad Commission, which regulates oil and gas production, was not.

The Railroad Commission is working to ensure that natural gas producers who supply power plants have filed the proper paperwork so that they do not lose electricity in a blackout, rendering them unable to provide vital fuel. But weatherization regulations will not happen for some months, not in time for this winter.


Policy recommendation: Combine the state’s Public Utility Commission and Railroad Commission into one energy agency

Electricity and natural gas regulators came to realize the importance of natural gas suppliers communicating their electricity needs with the PUC to avoid getting cut off when the fuel is needed the most. Not last year; they realized this ten years ago, when the same thing happened and triggered a day of rolling outages.

Why did it take a decade for the companies regulated by one agency to get their paperwork in order with a separate agency? It makes more sense for a single agency to regulate the entire energy process, from wellhead to lightbulb. (Or well-to-wheel, as cars increasingly need electricity, too.)

Over the years, various legislative sunset commissions have recommended combining the agencies, with different governance suggestions, none of which passed the Legislature. We urge lawmakers in 2023 to take up the idea in earnest, hammer out the governance details, and make sure the resulting agency has the heft and resources to regulate energy in a way that keeps the industry healthy and holds it accountable.


Policy recommendation: Incentivize building more power plants

Regardless, if energy companies in February had operated their equipment exactly right, the lights likely would have still gone out. Perhaps for a shorter period, perhaps in a more shared way, allowing people to keep homes above freezing and phones charged between rolling blackouts. But Texas was heading for trouble.

Before the winter freeze, ERCOT anticipated Texas would have 74,000 MW of power generation capacity for the winter of 2021. That’s less than the usual summer fleet as some plants go down for maintenance in the winter, but sufficient to meet their wildest predictions of winter electricity demand. The power generation on hand for the winter would have met the historic record winter demand, at 65,918 MW. Even in ERCOT’s planning scenario with extreme generator failures, the grid had enough capacity.

But during the second week of February, as weather forecasts became more dire, grid operators began rapidly hiking their estimates of electricity demand. On Valentine’s Day, ERCOT estimated demand would rise to 75,573 MW in the coming week.

Clearly that is more demand than all of Texas’ winter power generation fleet of 74,000 MW could handle. Demand never reached that level because ERCOT turned off service to millions of customers when power plants failed.

This raises questions about whether the Texas grid has enough power plants to remain resilient as climate change brings more frequent bouts of extreme weather and blackout risks across the U.S. Or if we have enough power to grow, as more people and companies, more homes and businesses and manufacturing plants, move to Texas.

What a shame if the Texas Miracle, our robust and growing economy, died because we ran out of electricity.

This is no exaggeration. In November, ERCOT released its seasonal assessment of whether Texas will have enough electricity resources for the coming winter. If weather is normal, yes, Texas will be in good shape. But if extreme weather again pushes Texas to use an inordinate amount of electricity for heat, and if wind and solar output are low, there won’t be enough. In that scenario, even if power plants mostly continue to operate properly, we should brace for outages.

Further, there are few investors planning to build more power plants in Texas, other than solar and wind. Renewable plants have many good qualities, but reliability isn’t one of them. Some investors are building grid-scale batteries, a technology that promises to add reliability to the grid.

How come power plant developers aren’t building more generators, especially with flat electricity demand in many markets today?


Policy recommendation: Incentivize reliability

The Texas electrical grid, independent of the rest of the U.S., operates as a competitive market. No regulator plans a power plant; investors choose to build plants based on expectations of profit.

How it works is, power generators offer their electricity into the market at the price of their choosing. ERCOT accepts the lowest bids first, working up to higher bids as demand for power increases in the course of a day.

The idea is that Texans always get the lowest possible price, and if prices rise high, investors will build more power plants. Basic supply and demand. When the market was first set up, this worked pretty well, because the big, reliable baseload generators, the coal and nuclear industries, were the cheapest to operate and bid their power at prices that kept them online all the time. The more agile natural gas-fired plants ramped up and down to meet demand minute-by-minute, at higher prices.

Renewable energy disrupts the market in ways that are great, generating cheap, clean power that has forced some high-polluting coal plants to mothball. But the disruption also undermines reliability. Wind and solar plants are the cheapest and quickest power generation to build and they have the lowest operating cost, allowing them to bid very low prices into the power market. Wind tends to blow hardest in West Texas at night, so the abundance of wind turbines has pushed many of those old baseload plants out of the market.

That’s how markets work, and we’re not crying for coal plant operators. But ERCOT has to figure out how to operate the market differently to keep the lights on.

The PUC announced a slew of electricity market reforms last week to address this very problem, including new to market pricing and an emergency reliability service for ERCOT to contract for more back-up power. These changes cost money, but failing to make any changes could cost more lives.

Texas became the No. 1 wind state thanks in part to a smart renewable energy credit system that created financial incentives to erect wind turbines. But those credits mean that sometimes at night, wind generators bid electricity into the market at negative prices, because they will make money off of the renewable energy credits.

It’s time for the Legislature to review the credit program to determine if it’s still needed, of a similar program could be added to incentivize reliability. The market-based program worked better than anyone could have expected to produce clean energy. Why not use this approach to create what we need now: clean and reliable energy?

We were pleased that PUC commissioners discussed last week an idea that would create a market for reliable power generation capacity by adding requirements that power market participants meet a standard of reliability guarantees.

A market for reliable electricity capacity will cost more, and we hope regulators keep the requirements as modest as possible. Renewable requirements were modest, but turned out to be powerful in a competitive market.

We expect a reliability program to be flexible enough that entrepreneurs can participate with new technology, such as batteries or geothermal energy or something that hasn’t been invented yet, rather than just old reliable fossil fuels.

We also welcome the PUC’s review of pricing rules for the market. Commissioners intend for a new pricing formula to offer early price signals of pending scarcity, to allow time for industrial customers to reduce consumption or suppliers to ramp up. This is intriguing, but we hope the final implementation keeps market interventions at a minimum.

We witnessed in February a scenario in which extremely high prices on the power market did nothing to attract more electricity into the market. Power plants broke down; there was no way to generate more power, no matter how high market prices went. So the PUC was silly to intervene in the market and keep prices artificially high; the outcome was billions of dollars of debt and a proposed electricity market bailout that electricity customers will end up paying.

Nor did this PUC pricing intervention prompt power generation developers to say: “I tell you what, let’s build more plants in Texas.” In the next few years, ERCOT can expect more solar power generation to come online, but little else.

Natural gas plant operators have told the PUC that market price signals show that a new plant wouldn’t be profitable. Natural gas plants are cheaper and faster to build than nuclear reactors; if those developers cannot figure out how to make money, then the prospect of a new nuclear reactor in Texas is a fantasy, even setting aside the environmental and political opposition.


Policy proposal: Use less energy

Politicians like to imagine that technology will solve our energy problem. But the quickest, cheapest, cleanest solution to all of our energy problems is to use less. Investing some federal infrastructure money to make homes more energy efficient would cut energy use, and could help homes retain heat in an emergency.

The PUC’s plan to offer more incentives for major power users to reduce demand in a grid emergency is a good idea. Bravo – next let’s take this benefit to the masses.

Upgrading building codes to require efficiency for office buildings and apartments can help, and might have prevented the frozen pipes in so many multifamily housing units that left people without water.

When North Texas power-line utility Oncor invested in smart grid technology in past decades, part of the promise was to help users reduce demand when electricity prices rise or in emergencies. A review and upgrade of the smart technology could allow more customers to benefit from discounts in exchange for turning things off when electricity supply is tight.

Problem is, we seem to be going in the opposite direction as consumers. Forget turning off the TV and unplugging the coffee machine as we leave the house each morning; now everything is always-on and always connected to Wi-Fi. Our appliances, electronics and the services that operate them can text us when anything interesting happens, like the laundry finishes or somebody opens the patio door or the first season of Murder She Wrote is available for streaming.

As Texans plug in electric vehicles, we will need even more power generation capacity. Researchers at the University of Texas at Austin estimated that if every Texan switched to an electric vehicle, demand for electricity would rise about 30%.

Texans will need to think realistically and rationally about where that electricity is going to come from. Before we march toward a utopian vision of an all-electric world, we need to make sure we have enough electricity.

Getting this right is a matter of life and death for each of one us and for Texas.

 

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Seven small UK energy suppliers must pay renewables fees or risk losing licence

Ofgem Renewables Obligations drive supplier payments for renewables fees, feed-in tariffs, and renewable generation, with non-payment risking supply licences amid the price cap and volatile wholesale prices across the UK energy market.

 

Key Points

Mandatory payments by suppliers funding renewables via feed-in tariffs; non-payment can trigger supply licence revoking.

✅ Covers Renewables Obligation and Feed-in Tariff scheme compliance.

✅ Non-payment can lead to Ofgem action and licence loss.

✅ Affected by price cap and wholesale price volatility.

 

Seven small British energy suppliers owe a total of 34 million pounds ($43.74 million) in renewables fees, amid a renewables backlog that has stalled projects, and could face losing their supply licences if they cannot pay, energy regulator Ofgem reports.

Under Britain’s energy market rules, suppliers of energy must meet so-called renewables obligations and feed-in tariffs, including households' ability to sell solar power back to energy firms, which are imposed on them by the government to help fund renewable power generation.

Several small energy companies have gone bust over the past two years, a trend echoed by findings from a global utility study on renewable priorities, as they struggled to pay the renewables fees and as their profits were affected by a price cap on the most commonly used tariffs and fluctuating wholesale prices, even as a 10 GW contract brings new renewable capacity onto the UK grid.

Ofgem has called on the companies to make necessary payments by Oct. 31, as moves to offer community-generated power to all UK customers progress.

“If they do not pay Ofgem could start the process of revoking their licences to supply energy,” it said in a statement, as offshore wind power continues to scale nationwide.

The seven suppliers are, amid debates over clean energy impacts, Co-Operative Energy Limited; Flow Energy Limited; MA Energy Limited; Nabuh Energy Limited; Robin Hood Energy Limited; Symbio Energy Limited and Tonik Energy Limited. ($1 = 0.7773 pounds)

 

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A tenth of all electricity is lost in the grid - superconducting cables can help

High-Temperature Superconducting Cables enable lossless, high-voltage, underground transmission for grid modernization, linking renewable energy to cities with liquid nitrogen cooling, boosting efficiency, cutting emissions, reducing land use, and improving resilience against disasters and extreme weather.

 

Key Points

Liquid-nitrogen-cooled power cables delivering electricity with near-zero losses, lower voltage, and greater resilience.

✅ Near-lossless transmission links renewables to cities efficiently

✅ Operate at lower voltage, reducing substation size and cost

✅ Underground, compact, and resilient to extreme weather events

 

For most of us, transmitting power is an invisible part of modern life. You flick the switch and the light goes on.

But the way we transport electricity is vital. For us to quit fossil fuels, we will need a better grid, with macrogrid planning connecting renewable energy in the regions with cities.

Electricity grids are big, complex systems. Building new high-voltage transmission lines often spurs backlash from communities, as seen in Hydro-Que9bec power line opposition over aesthetics and land use, worried about the visual impact of the towers. And our 20th century grid loses around 10% of the power generated as heat.

One solution? Use superconducting cables for key sections of the grid. A single 17-centimeter cable can carry the entire output of several nuclear plants. Cities and regions around the world have done this to cut emissions, increase efficiency, protect key infrastructure against disasters and run powerlines underground. As Australia prepares to modernize its grid, it should follow suit with smarter electricity infrastructure initiatives seen elsewhere. It's a once-in-a-generation opportunity.


What's wrong with our tried-and-true technology?
Plenty.

The main advantage of high voltage transmission lines is they're relatively cheap.

But cheap to build comes with hidden costs later. A survey of 140 countries found the electricity currently wasted in transmission accounts for a staggering half-billion tons of carbon dioxide—each year.

These unnecessary emissions are higher than the exhaust from all the world's trucks, or from all the methane burned off at oil rigs.

Inefficient power transmission also means countries have to build extra power plants to compensate for losses on the grid.

Labor has pledged A$20 billion to make the grid ready for clean energy, and international moves such as US-Canada cross-border approvals show the scale of ambition needed. This includes an extra 10,000 kilometers of transmission lines. But what type of lines? At present, the plans are for the conventional high voltage overhead cables you see dotting the countryside.

System planning by Australia's energy market operator shows many grid-modernizing projects will use last century's technologies, the conventional high voltage overhead cables, even as Europe's HVDC expansion gathers pace across its network. If these plans proceed without considering superconductors, it will be a huge missed opportunity.


How could superconducting cables help?
Superconduction is where electrons can flow without resistance or loss. Built into power cables, it holds out the promise of lossless electricity transfer, over both long and short distances. That's important, given Australia's remarkable wind and solar resources are often located far from energy users in the cities.

High voltage superconducting cables would allow us to deliver power with minimal losses from heat or electrical resistance and with footprints at least 100 times smaller than a conventional copper cable for the same power output.

And they are far more resilient to disasters and extreme weather, as they are located underground.

Even more important, a typical superconducting cable can deliver the same or greater power at a much lower voltage than a conventional transmission cable. That means the space needed for transformers and grid connections falls from the size of a large gym to only a double garage.

Bringing these technologies into our power grid offers social, environmental, commercial and efficiency dividends.

Unfortunately, while superconductors are commonplace in Australia's medical community (where they are routinely used in MRI machines and diagnostic instruments) they have not yet found their home in our power sector.

One reason is that superconductors must be cooled to work. But rapid progress in cryogenics means you no longer have to lower their temperature almost to absolute zero (-273℃). Modern "high temperature" superconductors only need to be cooled to -200℃, which can be done with liquid nitrogen—a cheap, readily available substance.

Overseas, however, they are proving themselves daily. Perhaps the most well-known example to date is in Germany's city of Essen. In 2014, engineers installed a 10 kilovolt (kV) superconducting cable in the dense city center. Even though it was only one kilometer long, it avoided the higher cost of building a third substation in an area where there was very limited space for infrastructure. Essen's cable is unobtrusive in a meter-wide easement and only 70cm below ground.

Superconducting cables can be laid underground with a minimal footprint and cost-effectively. They need vastly less land.

A conventional high voltage overhead cable requires an easement of about 130 meters wide, with pylons up to 80 meters high to allow for safety. By contrast, an underground superconducting cable would take up an easement of six meters wide, and up to 2 meters deep.

This has another benefit: overcoming community skepticism. At present, many locals are concerned about the vulnerability of high voltage overhead cables in bushfire-prone and environmentally sensitive regions, as well as the visual impact of the large towers and lines. Communities and farmers in some regions are vocally against plans for new 85-meter high towers and power lines running through or near their land.

Climate extremes, unprecedented windstorms, excessive rainfall and lightning strikes can disrupt power supply networks, as the Victorian town of Moorabool discovered in 2021.

What about cost? This is hard to pin down, as it depends on the scale, nature and complexity of the task. But consider this—the Essen cable cost around $20m in 2014. Replacing the six 500kV towers destroyed by windstorms near Moorabool in January 2020 cost $26 million.

While superconducting cables will cost more up front, you save by avoiding large easements, requiring fewer substations (as the power is at a lower voltage), and streamlining approvals.


Where would superconductors have most effect?
Queensland. The sunshine state is planning four new high-voltage transmission projects, to be built by the mid-2030s. The goal is to link clean energy production in the north of the state with the population centers of the south, similar to sending Canadian hydropower to New York to meet demand.

Right now, there are major congestion issues between southern and central Queensland, and subsea links like Scotland-England renewable corridors highlight how to move power at scale. Strategically locating superconducting cables here would be the best location, serving to future-proof infrastructure, reduce emissions and avoid power loss.

 

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How utilities are using AI to adapt to electricity demands

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.”

 

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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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