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Maine Hydropower Transmission Line revived by high court after referendum challenge, advancing NECEC, Hydro-Quebec supply, Central Maine Power partnership, clean energy integration, grid reliability, and lower rates across New England pending land-lease ruling.

Key Points

A court-revived NECEC line delivering 1,200 MW of Hydro-Quebec hydropower via CMP to strengthen the New England grid.

✅ Maine high court deems retroactive referendum unconstitutional

✅ Pending state land lease case may affect final route

✅ Project could lower rates and cut emissions in New England

Maine's highest court on Tuesday breathed new life into a $1-billion US transmission line that aims to serve as conduit for Canadian hydropower, after construction starts drew scrutiny, ruling that a statewide vote rebuking the project was unconstitutional.

The Supreme Judicial Court ruled that the retroactive nature of the referendum last year violated the project developer's constitutional rights, sending it back to a lower court for further proceedings.

The court did not rule in a separate case that focuses on a lease for a 1.6-kilometre portion of the proposed power line that crosses state land.

Central Maine Power's parent company and Hydro-Québec teamed up on the project that would supply up to 1,200 megawatts of Canadian hydropower, amid the ongoing Maine-Quebec corridor debate in the region. That's enough electricity for one million homes.

Most of the proposed 233-kilometre power transmission line would be built along existing corridors, but a new 85-kilometre section was needed to reach the Canadian border, echoing debates around the Northern Pass clash in New Hampshire.

Workers were already clearing trees and setting poles when the governor asked for work to be suspended after the referendum in November 2021, mirroring New Hampshire's earlier rejection of a Quebec-Massachusetts proposal that rerouted regional plans. The Maine Department of Environmental Protection later suspended its permit, but that could be reversed depending on the outcome of legal proceedings.

The high court was asked to weigh in on two separate lawsuits. Developers sought to declare the referendum unconstitutional while another lawsuit focused on a lease allowing transmission lines to cross a short segment of state-owned land.

Supporters say bold projects such as this one, funded by ratepayers in Massachusetts, are necessary to battle climate change and introduce additional electricity into a region that's heavily reliant on natural gas, which can cause spikes in energy costs, as seen with Nova Scotia rate increases recently across the Atlantic region.

Critics say the project's environmental benefits are overstated — and that it would harm the woodlands in western Maine.

It was the second time the Supreme Judicial Court was asked to weigh in on a referendum aimed at killing the project. The first referendum proposal never made it onto the ballot after the court raised constitutional concerns.

Although the project is funded by Massachusetts ratepayers, the introduction of so much electricity to the grid would serve to stabilize or reduce electricity rates for all consumers, proponents contend, even as Manitoba Hydro rate hikes face opposition elsewhere.

The referendum on the project was the costliest in Maine history, topping $90 million US and underscoring deep divisions.

The high-stakes campaign put environmental and conservation groups at odds, and pitted utilities backing the project, amid the Hydro One-Avista backlash, against operators of fossil fuel-powered plants that stand to lose money.

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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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Wave Energy Converters can deliver marine power to the grid, with DOE-backed PacWave enabling offshore testing, robust designs, and renewable electricity from oscillating waves to decarbonize coastal communities and replace diesel in remote regions.

Key Points

Wave energy converters are devices that transform waves' oscillatory motion into electricity for the grid or loads.

✅ DOE's PacWave enables full-scale, grid-connected offshore testing.

✅ Multiple designs convert oscillating motion into torque and power.

✅ Ideal for islands, microgrids, and replacing diesel generation.

Waves off the coast of the U.S. could generate 2.64 trillion kilowatt hours of electricity per year — that’s about 64% of last year’s total utility-scale electricity generation in the U.S. We won’t need that much, but one day experts do hope that wave energy will comprise about 10-20% of our electricity mix, alongside other marine energy technologies under development today.

“Wave power is really the last missing piece to help us to transition to 100% renewables, ” said Marcus Lehmann, co-founder and CEO of CalWave Power Technologies, one of a number of promising startups focused on building wave energy converters.

But while scientists have long understood the power of waves, it’s proven difficult to build machines that can harness that energy, due to the violent movement and corrosive nature of the ocean, combined with the complex motion of waves themselves, even as a recent wave and tidal market analysis highlights steady advances.

″Winds and currents, they go in one direction. It’s very easy to spin a turbine or a windmill when you’ve got linear movement. The waves really aren’t linear. They’re oscillating. And so we have to be able to turn this oscillatory energy into some sort of catchable form,” said Burke Hales, professor of cceanography at Oregon State University and chief scientist at PacWave, a Department of Energy-funded wave energy test site off the Oregon Coast. Currently under construction, PacWave is set to become the nation’s first full-scale, grid-connected test facility for these technologies, a milestone that parallels U.K. wind power lessons on scaling new industries, when it comes online in the next few years.

“PacWave really represents for us an opportunity to address one of the most critical barriers to enabling wave energy, and that’s getting devices into the open ocean,” said Jennifer Garson, Director of the Water Power Technologies Office at the U.S. Department of Energy.

At the beginning of the year, the DOE announced $25 million in funding for eight wave energy projects to test their technology at PacWave, as offshore wind forecasts underscore the growing investor interest in ocean-based energy. We spoke with a number of these companies, which all have different approaches to turning the oscillatory motion of the waves into electrical power.

Different approaches
Of the eight projects, Bay Area-based CalWave received the largest amount, $7.5 million. 

″The device we’re testing at PacWave will be a larger version of this,” said Lehmann. The x800, our megawatt-class system, produces enough power to power about 3,000 households.”

CalWave’s device operates completely below the surface of the water, and as waves rise and fall, surge forward and backward, and the water moves in a circular motion, the device moves too. Dampers inside the device slow down that motion and convert it into torque, which drives a generator to produce electricity, a principle mirrored in some wind energy kite systems as they harvest aerodynamic forces.

“And so the waves move the system up and down. And every time it moves down, we can generate power, and then the waves bring it back up. And so that oscillating motion, we can turn into electricity just like a wind turbine,” said Lehmann.

Another approach is being piloted by Seattle-based Oscilla Power, which was awarded $1.8 million from the DOE, and is getting ready to deploy its wave energy converter off the coast of Hawaii, at the U.S. Navy Wave Energy Test site.

Oscilla Power’s device is composed of two parts. One part floats on the surface and moves with the waves in all directions — up and down, side to side and rotationally. This float is connected to a large, ring-shaped structure which hangs below the surface, and is designed to stay relatively steady, much like how underwater kites leverage a stable reference to generate power. The difference in motion between the float and the ring generates force on the connecting lines, which is used to rotate a gearbox to drive a generator.

″The system that we’re deploying in Hawaii is what we call the Triton-C. This is a community-scale system,” said Balky Nair, CEO of Oscilla Power. “It’s about a third of the size of our flagship product. It’s designed to be 100 kilowatt rated, and it’s designed for islands and small communities.”

Nair is excited by wave energy’s potential to generate electricity in remote regions, which currently rely on expensive and polluting diesel imports to meet their energy needs when other renewables aren’t available, and similar tidal energy for remote communities efforts in Canada point to viable models. Before wave energy is adopted at-scale, many believe we’ll see wave energy replacing diesel generators in off-the-grid communities.

A third company, C-Power, based in Charlottesville, Virginia, was awarded more than $4 million to test its grid-scale wave energy converter at PacWave. But first, the company wants to commercialize its smaller scale system, the SeaRAY, which is designed for lower-power applications. 

″Think about sensors in the ocean, research, metocean data gathering, maybe it’s monitoring or inspection,” said C-Power CEO Reenst Lesemann on the initial applications of his device.

The SeaRAY consists of two floats and a central body, the nacelle, which contains the drivetrain. As waves pass by, the floats bob up and down, rotating about the nacelle and turning their own respective gearboxes which power the electric generators.

Eventually, C-Power plans to scale up its SeaRAY so that it’s capable of satellite communications and deep water deployments, before building a larger system, called the StingRAY, for terrestrial electricity generation.

Meanwhile, one Swedish company, Eco Wave Power, is taking another approach completely, eschewing offshore technologies in favor of simpler wave power devices that can be installed on breakwaters, piers, and jetties.

“All the expensive conversion machinery, instead of being inside the floaters like in the competing technologies, is on land just like a regular power station. So basically this enables a very low installation, operation, and maintenance cost,” explained CEO Inna Braverman.

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Just Transition for Coal and Nuclear Workers explains policy frameworks, compensation packages, retraining, and community support during decarbonization, plant closures, and energy shifts across Europe and the U.S., including Diablo Canyon and Uniper strategies.

Key Points

A policy approach to protect and retrain legacy power workers as coal and nuclear plants retire during decarbonization.

✅ Germany and Spain fund closures with compensation and retraining.

✅ U.S. lacks federal support; Diablo Canyon is a notable exception.

✅ Firms like Uniper convert coal sites to gas and clean energy roles.

The coronavirus pandemic has not changed the grim reality facing workers at coal and nuclear power plants in the U.S. and Europe. How those workers will fare in the years ahead will vary greatly based on where they live and the prevailing political winds.

In Europe, the retirement of aging plants is increasingly seen as a matter of national concern. Germany this year agreed to a €40 billion ($45 billion) compensation package for workers affected by the country's planned phaseout of coal generation by 2038, amid its broader exit from nuclear power as part of its energy transition. Last month the Spanish authorities agreed on a just transition plan affecting 2,300 workers across 12 thermal power plants that are due to close this year.

In contrast, there is no federal support plan for such workers in the U.S., said Tim Judson, executive director at the Maryland-based Nuclear Information and Resource Service, which lobbies for an end to nuclear and fossil-fuel power.

For all of President Donald Trump’s professed love of blue-collar workers in sectors such as coal, “where there are economic transitions going on, we’re terrible at supporting workers and communities,” Judson said of the U.S. Even at the state level, support for such workers is "almost nonexistent,” he said, “although there are a lot of efforts going on right now to start putting in place just transition programs, especially for the energy sector.”

One example that stands out in the U.S. is the support package secured for workers at utility PG&E's Diablo Canyon Power Plant, California's last operating nuclear power plant that is scheduled for permanent closure in 2025. “There was a settlement between the utility, environmental groups and labor unions to phase out that plant that included a very robust just transition package for the workers and the local community,” Judson said.

Are there enough clean energy jobs to replace those being lost?
Governments are more likely to step in with "just transition" plans where they have been responsible for plant closures in the first place. This is the case for California, Germany and Spain, all moving aggressively to decarbonize their energy sectors and pursue net-zero emissions policy goals.

Some companies are beginning to take a more proactive approach to helping their workers with the transition. German energy giant Uniper, for example, is working with authorities to save jobs by seeking to turn coal plants into lower-emissions gas-fired units.

Germany’s coal phaseout will force Uniper to shut down 1.5 gigawatts of hard-coal capacity by 2022, but the company has said it is looking at "forward-looking" options for its plants that "will be geared toward tomorrow's energy world and offer long-term employment prospects."

Christine Bossak, Uniper’s manager of external communications, told GTM this approach would be adopted in all the countries where Uniper operates coal plants.

Job losses are usually inevitable when a plant is closed, Bossak acknowledged. “But the extent of the reduction depends on the alternative possibilities that can be created at the site or other locations. We will take care of every single employee, should he or she be affected by a closure. We work with the works council and our local partners to find sustainable solutions.”

Diana Junquera Curiel, energy industry director for the global union federation IndustriALL, said such corporate commitments looked good on paper — but the level of practical support depends on the prevailing political sentiment in a country, as seen in Germany's nuclear debate over climate strategy.

Even in Spain, where the closure of coal plants was being discussed 15 years ago, a final agreement had to be rushed through at the last minute upon the arrival of a socialist government, Junquera Curiel said. An earlier right-wing administration had sat on the plan for eight years, she added.

The hope is that heel-dragging over just transition programs will diminish as the scale of legacy plant closures grows.

Nuclear industry facing a similar challenge as coal
One reason why government support is so important is there's no guarantee a burgeoning clean energy economy will be able to absorb all the workers losing legacy generation jobs. Although the construction of renewable energy projects requires large crews, it often takes no more than a handful of people to operate and maintain a wind or solar plant once it's up and running, Junquera Curiel observed.

Meanwhile, the job losses are unlikely to slow. In Europe, Austria and Sweden both closed their last coal-fired units recently, even as Europe loses nuclear capacity in key markets.

In the U.S., the Energy Information Administration's base-case prediction is that coal's share of power generation will fall from 24 percent in 2019 to 13 percent in 2050, while nuclear's will fall from 20 percent to 12 percent over that time horizon. The EIA has long underestimated the growth trajectory of renewables in the mix; only in 2020 did it concede that renewables will eventually overtake natural gas as the country's largest source of power.

The Institute for Energy Economics and Financial Analysis has predicted that even a coronavirus-inspired halt to renewables is unlikely to stop a calamitous drop in coal’s contribution to U.S. generation.

The nuclear sector faces a similar challenge as coal, albeit over a longer timeline. Last year saw the nuclear industry starting to lose capacity worldwide in what could be the beginning of a terminal decline, highlighted by Germany's shutdown of its last three reactors in 2023. Last week, the Indian Point Energy Center closed permanently after nearly half a century of cranking out power for New York City.*

“Amid ongoing debates over whether to keep struggling reactors online in certain markets, the industry position would be that governments should support continued operation of existing reactors and new build as part of an overall policy to transition to a sustainable clean energy system,” said Jonathan Cobb, senior communication manager at the World Nuclear Association.

If this doesn’t happen, plant workers will be hoping they can at least get a Diablo Canyon treatment. Based on the progress of just transition plans so far, that may depend on how they vote just as much as who they work for.

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Commercial Electric Tariffs explain utility rate structures, peak demand charges, kWh vs kW pricing, time-of-use periods, voltage, delivery, capacity ratchets, and riders, guiding facility managers in tariff analysis for accurate energy savings.

Key Points

Commercial electric tariffs define utility pricing for energy, demand, delivery, time-of-use periods, riders, and ratchet charges.

✅ Separate kWh charges from kW peak demand fees.

✅ Verify time-of-use windows and demand interval length.

✅ Review riders, capacity ratchets, and minimum demand clauses.

Especially during these tough economic times, as major changes to electric bills are debated in some states, facility executives who don’t understand how their power is priced have been disappointed when their energy projects failed to produce expected dollar savings. Here’s how not to be one of them.

Your electric rate is spelled out in a document called a “tariff” that can be downloaded from your utility’s web page. A tariff should clearly spell out the costs for each component that is part of your rate, reflecting cost allocation practices in your region. Don’t be surprised to learn that it contains a bunch of them. Unlike residential electric rates, commercial electric bills are not based solely on the quantity of kilowatt-hours (kWh) consumed in a billing period (in the United States, that’s a month). Instead, different rates may apply to how your power is supplied, how it is delivered via electricity delivery charges, when it was consumed, its voltage, how fast it was used (in kW), and other factors.

If a tariff’s lingo and word structure are too opaque, spend some time with a utility account rep to translate it. Many state utility commissions also have customer advocates that may assist as they explore new utility rate designs that affect customers. Alternatively, for a fee, facility managers can privately chat with an energy consultant.

Common mistakes

Many facility managers try to estimate savings based on an averaged electric rate, i.e., annual electric spend divided by annual kWh. However, in markets where electricity demand is flat, such a number may obscure the fastest rising cost component: monthly peak demand charges, measured in dollars per kW (or kilo-volt-amperes, kVA).

This charge is like a monthly speeding ticket, based solely on the highest speed you drove during that time. In some areas, peak demand charges now account for 30 to 60 percent of a facility’s annual electric spend. When projecting energy cost savings, failing to separately account for kW peak demand and kWh consumption may result in erroneous results, and a lot of questions from the C-suite.

How peak demand charges are calculated varies among utilities. Some base it on the highest average speed of use across one hour in a month, while others may use the highest average speed during a 15- or 30-minute period. Others may average several of the highest speeds within a defined time period (for example, 8 a.m. to 6 p.m. on weekdays). It is whatever your tariff says it is.

Because some power-consuming (or producing) devices, including those tied to smart home electricity networks, vary in their operation or abilities, they may save money on a few — but not all — of those rate components. If an equipment vendor calculates savings from its product by using an average electric rate, take pause. Tell the vendor to return after the proposal has been redone using tariff-based numbers.

When a vendor is the only person calculating potential savings from using a product, there’s also a built-in conflict of interest: The person profiting from an equipment sale should not also be the one calculating its expected financial return. Before signing any energy project contracts, it’s essential that someone independent of the deal reviews projected savings. That person (typically an energy or engineering consultant) should be quite familiar with your facility’s electric tariff, including any special provisions, riders, discounts, etc., that may pertain. When this doesn’t happen, savings often don’t occur as planned. 

For example, some utilities add another form of demand charge, based on the highest kW in a year. It has various names: capacity, contract demand, or the generic term “ratchet charge.” Some utilities also have a minimum ratchet charge which may be based on a percent of a facility’s annual kW peak. It ensures collection of sufficient utility revenue to cover the cost of installed transmission and distribution even when a customer significantly cuts its peak demand.

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Raindrop Triboelectric Energy Harvesting converts falling water into electricity using Teflon (PTFE) on indium tin oxide and an aluminum electrode, forming a transient water bridge; a low frequency nanogenerator for renewable, static electricity harvesting.

Key Points

A method using PTFE, ITO, and an aluminum electrode to turn raindrop impacts into low frequency electrical power.

✅ PTFE on ITO boosts charge transfer efficiency.

✅ Water bridge links electrodes for rapid discharge.

✅ Low frequency output suits continuous energy harvesting.

Scientists at the City University of Hong Kong have used a Teflon-coated surface and a phenomenon called triboelectricity to generate a charge from raindrops. “Here we develop a device to harvest energy from impinging water droplets by using an architecture that comprises a polytetrafluoroethylene [Teflon] film on an indium tin oxide substrate plus an aluminium electrode,” they explain in their new paper in Nature as a step toward cheap, abundant electricity in the long term.

Triboelectricity itself is an old concept. The word means “friction electricity”—from the Greek tribo, to rub or wear down, which is why a diatribe tires you out—and dates back a long, long time. Static electricity is the most famous kind of triboelectric, and related work has shown electricity from the night sky can be harvested as well in niche setups. In most naturally occurring kinds, scientists have studied triboelectric in order to avoid its effects, like explosions inside of grain silos or hospital workers touching off pure oxygen. (Blowing sand causes an electric field, and NASA even worries about static when astronauts eventually land on Mars.)

One of the most studied forms of intentional and useful triboelectric is in systems such as ocean wave generators where the natural friction of waves meets nanogenerators of triboelectric energy. These even already use Teflon, which has natural conductivity that makes it ideal for this job. But triboelectricity is chaotic, and harnessing it generally involves a bunch of complicated, intersecting variables that can vary with the hourly weather. Promises of static electricity charging devices have often been, well, so much hot, sandy wind.

The scientists at City University of Hong Kong used triboelectric ideas to turn falling raindrops into energy. They say previous versions of the same idea were not very efficient, with materials that didn’t allow for high-fidelity transfer of electrical charge. (Many sources of renewable energy aren’t yet as efficient to turn into power, both because of developing technology and because their renewability means even less efficient use could be better than, for example, fossil fuels, and advances in renewable energy storage could help.)

“[A]chieving a high density of electrical power generation is challenging,” the team explains in its paper. “Traditional hydraulic power generation mainly uses electromagnetic generators that are heavy, bulky, and become inefficient with low water supply.” Diversifying how power is generated by water sources such as oceans and rivers is good for the existing infrastructure as well as new installations.

The research team found that as simulated raindrops fell on their device, the way the water accumulated and spread created a link between their two electrodes, one Teflon-coated and the other aluminum. This watery de facto wire link closes the loop and allows accumulated energy to move through the system. Because it’s a mechanical setup, it’s not limited to salty seawater, and because the medium is already water, its potential isn’t affected by ambient humidity either.

Raindrop energy is very low frequency, which means this tech joins many other existing pushes to harvest continuously available, low frequency natural energy, including underwater 'kites' that exploit steady currents. To make an interface that increases “instantaneous power density by several orders of magnitude over equivalent devices,” as the researchers say they’ve done here, could represent a major step toward feasibility in triboelectric generation.

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