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Martha's Vineyard 100% Renewable Energy advances electrification across EVs, heat pumps, distributed solar, offshore wind, microgrids, and battery storage, cutting emissions, boosting efficiency, and strengthening grid resilience for storms and sea-level rise.

Key Points

It is an islandwide plan to electrify transport and buildings using wind, solar, storage, and a modern resilient grid.

✅ Electrify transport: EV adoption and SSA hybrid-electric ferries.

✅ Deploy heat pumps for efficient heating and cooling in buildings.

✅ Modernize the grid: distributed solar, batteries, microgrids, VPP.

Over the past year, it has become increasingly clear that climate change is accelerating. Here in coastal New England, annual temperatures and precipitation have risen more quickly than expected, tidal flooding is now commonplace, and storms have increased in frequency and intensity. The window for avoiding the worst consequences of a climate-changed planet is closing.

At their recent special town meeting, Oak Bluffs citizens voted to approve the 100 per cent renewable Martha’s Vineyard warrant article; now, all six towns have adopted the same goals for fossil fuel reduction and green electricity over the next two decades. Establishing these targets for the adoption of renewable energy, though, is only an initial step. Town and regional master plans for energy transformation are being developed, but this is a whole-community effort as well. Now is the time for action.

There is much to do to combat climate change, but our most important task is to transition our energy system from one heavily dependent on fossil fuels to one that is based on clean electricity. The good news is that this can be accomplished with currently available technology, and can be done in an economically efficient manner.

Electrification not only significantly lowers greenhouse gas emissions, but also is a powerful energy efficiency measure. So even though our detailed Island energy model indicates that eliminating all (or almost all) fossil fuel use will mean our electricity use will more than double, posing challenges for state power grids in some regions, our overall annual energy consumption will be significantly lower.

So what do we specifically need to do?

The primary targets for electrification are transportation (roughly 60 peer cent of current fossil fuel use on Martha’s Vineyard) and building heating and cooling (40 per cent).

Over the past two years, the increase in the number of electric vehicle models available across a wide range of price points has been remarkable — sedans, SUVs, crossovers, pickup trucks, even transit vans. When rebates and tax credits are considered, they are affordable. Range anxiety is being addressed both by increases in vehicle performance and the growing availability of charging locations (other than at home, which will be the predominant place for Islanders to refuel) and, over time, enable vehicle-to-grid support for our local system. An EV purchase should be something everyone should seriously consider when replacing a current fossil vehicle.

The elephant in the transportation sector room is the Steamship Authority. The SSA today uses roughly 10 per cent of the fossil fuel attributable to Martha’s Vineyard, largely but not totally in the ferries. The technology needed for fully electric short-haul vessels has been under development in Scandinavia for a number of years and fully electric ferries are in operation there. A conservative approach for the SSA would be to design new boats to be hybrid diesel-electric, retrofittable to plug-in hybrids to allow for shoreside charging infrastructure to be planned and deployed. Plug-in hybrid propulsion could result in a significant reduction in emissions — perhaps as much as 95 per cent, per the long-range plan for the Washington State ferries. While the SSA has contracted for an alternative fuel study for its next boat, given the long life of the vessels, an electrification master plan is needed soon.

For building heating and cooling, the answer for electrification is heat pumps, both for new construction and retrofits. These devices move heat from outside to inside (in the winter) or inside to outside (summer), and are increasingly integrated into connected home energy systems for smarter control. They are also remarkably efficient (at least three times more efficient than burning oil or propane), and today’s technology allows their operation even in sub-zero outside temperatures. Energy costs for electric heating via heat pumps on the Vineyard are significantly below either oil or propane, and up-front costs are comparable for new construction. For new construction and when replacing an existing system, heat pumps are the smart choice, and air conditioning for the increasingly hot summers comes with the package.

A frequent objection to electrification is that fossil-fueled generation emits greenhouse gases — thus a so-called green grid is required in order to meet our targets. The renewable energy fraction of our grid-supplied electricity is today about 30 per cent; by 2030, under current legislation that fraction will reach 54 per cent, and by 2040, 77 per cent. Proposed legislation will bring us even closer to our 2040 goals. The Vineyard Wind project will strongly contribute to the greening of our electricity supply, and our local solar generation (almost 10 per cent of our overall electricity use at this point) is non-negligible.

A final important facet of our energy system transformation is resilience. We are dependent today on our electricity supply, and this dependence will grow. As we navigate the challenges of climate change, with increasingly more frequent and more serious storms, 2021 electricity lessons underscore that resilience of electricity supply is of paramount importance. In many ways, today’s electricity distribution system is basically the same approach developed by Edison in the late 19th century. In partnership with our electric utility, we need to modernize the grid to achieve our resiliency goals.

While the full scope of this modernization effort is still being developed, the outline is clear. First, we need to increase the amount of energy generated on-Island — to perhaps 25 per cent of our total electricity use. This will be via distributed energy resources (in the form of distributed solar and battery installations as well as community solar projects) and the application of advanced grid control systems. For emergency critical needs, the concept of local microgrids that are detachable from the main grid when that grid suffers an outage are an approach that is technically sound and being deployed elsewhere. Grid coordination of distributed resources by the utility allows for handling of peak power demand; in the early 2030s this could result in what is known as a virtual power plant on the Island.

The adoption of the 100 renewable Martha’s Vineyard warrant articles is an important milestone for our community. While the global and national efforts in the climate crisis may sometimes seem fraught, we can take some considerable pride in what we have accomplished so far and will accomplish in coming years. As with many change efforts, the old catch-phrase applies: think globally, act locally.
 

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Ontario-Quebec Energy Swap streamlines electricity exchange, balancing peak demand across clean grids with hydroelectric and nuclear power, enhancing reliability, capacity banking, and interprovincial load management for industry growth, EV adoption, and seasonal heating-cooling needs.

Key Points

10-year, no-cash power swap aligning peaks; hydro and nuclear enhance reliability and let Ontario bank capacity.

✅ Up to 600 MW exchanged yearly; reviews adjust volumes

✅ Peaks differ: summer A/C in Ontario, winter heating in Quebec

✅ Capacity banking enables future-year withdrawals

Ontario and Quebec have agreed to swap energy to build on an electricity deal to help each other out when electricity demands peak.

The provinces' electricity operators, the Independent Electricity System Operator holds capacity auctions and Hydro-Quebec, will trade up to 600 megawatts of energy each year, said Ontario Energy Minister Todd Smith.

“The deal just makes a lot of sense from both sides,” Smith said in an interview.

“The beauty as well is that Quebec and Ontario are amongst the cleanest grids around.”

The majority of Ontario's power comes from nuclear energy while the majority of Quebec's energy comes from hydroelectric power, including Labrador power in regional transmission networks.

The deal works because Ontario and Quebec's energy peaks come at different times, Smith said.

Ontario's energy demands spike in the summer, largely driven by air conditioning on hot days, and the province has occasionally set off-peak electricity prices to provide temporary relief, he said.

Quebec's energy needs peak in the winter, mostly due to electric heating on cold days.

The deal will last 10 years, with reviews along the way to adjust energy amounts based on usage.

“With the increase in energy demand, we must adopt more energy efficiency programs like Peak Perks and intelligent measures in order to better manage peak electricity consumption,” Quebec's Energy Minister Pierre Fitzgibbon wrote in a statement.

Smith said the energy deal is a straight swap, with no payments on either side, and won't reduce hydro bills as the transfer could begin as early as this winter.

Ontario will also be able to bank unused energy to save capacity until it is needed in future years, Smith said.

Both provinces are preparing for future energy needs, as electricity demands are expected to grow dramatically in the coming years with increased demand from industry and the rise of electric vehicles, and Ontario has tabled legislation to lower electricity rates to support consumers.

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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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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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Puerto Rico Power Restoration advances as PREPA, FEMA, and the Army Corps rebuild the grid after Hurricane Maria; 75% of customers powered, amid privatization debate, Whitefish contract fallout, and a continuing island-wide boil-water advisory.

Key Points

Effort to rebuild Puerto Rico's grid and restore power, led by PREPA with FEMA support after Hurricane Maria.

✅ 75.35% of customers have power; 90.8% grid generating

✅ PREPA, FEMA, and Army Corps lead restoration work

✅ Privatization debate, Whitefish contract scrutiny

Nearly six months after Hurricane Maria decimated Puerto Rico, the island's electricity has been restored to 75 percent capacity, according to its utility company, a contrast to California power shutdowns implemented for different reasons.

The Puerto Rico Electric Power Authority said Sunday that 75.35 percent of customers now have electricity. It added that 90.8 percent of the electrical grid, already anemic even before the Sept. 20 storm barrelled through the island, is generating power again, though demand dynamics can vary widely as seen in Spain's power demand during lockdowns.

Thousands of power restoration personnel made up of the Puerto Rico Electric Power Authority (PREPA), the Federal Emergency Management Agency (FEMA), industry workers from the mainland, and the Army Corps of Engineers have made marked progress in recent weeks, even as California power shutoffs highlight grid risks elsewhere.

Despite this, 65 people in shelters and an island-wide boil water advisory is still in effect even though almost 100 percent of Puerto Ricans have access to drinking water, local government records show.

The issue of power became controversial after Puerto Rico Gov. Ricardo Rossello recently announced plans to privatize PREPA after it chose to allocate a $300 million power restoration contract to Whitefish, a Montana-based company with only a few staffers, rather than put it through the mutual-aid network of public utilities usually called upon to coordinate power restoration after major disasters, and unlike investor-owned utilities overseen by regulators such as the Florida PSC on the mainland.

That contract was nixed and Whitefish stopped working in Puerto Rico after FEMA raised "significant concerns" over the procurement process, scrutiny mirrored by the fallout from Taiwan's widespread outage where the economic minister resigned.

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European Solar Inverter Demand surges as photovoltaics and residential solar expand during the clean energy transition, driven by high natural gas prices; Germany leads, boosting Enphase and SolarEdge sales for rooftop systems and grid-tied installations.

Key Points

Rising European need for solar inverters, fueled by residential PV growth, high energy costs, and clean energy policies.

✅ Germany leads EU rooftop PV installations

✅ Enphase and SolarEdge see revenue growth

✅ High gas prices and policies spur adoption

Solar equipment makers are expected to post higher quarterly profit, benefiting from strong demand in Europe for critical components that convert energy from the sun into electricity, amid record renewable momentum worldwide.

The continent is emerging as a major market for solar firms as it looks to reduce its dependence on the Russian energy supply and accelerate its clean energy transition, with solar already reshaping power prices in Northern Europe across the region, brightening up businesses of companies such as Enphase Energy (ENPH.O) and SolarEdge Technologies (SEDG.O), which make solar inverters.

Wall Street expects Enphase and SolarEdge to post a combined adjusted net income of $323.8 million for the April-June quarter, a 56.7% jump from a year earlier, even as demand growth slows in the United States.

The energy crisis in Europe is not as acute as last year when Western sanctions on Russia severely crimped supplies, but prices of natural gas and electricity continue to be much higher than in the United States, Raymond James analyst Pavel Molchanov said.

As a result, demand for residential solar keeps growing at a strong pace in the region, with Germany being one of the top markets and solar adoption in Poland also accelerating in recent years across the region.

About 159,000 residential solar systems became operational in the first quarter in Germany amid a solar power boost that reflects policy and demand, a 146% rise from a year earlier, according to BSW solar power association.

Adoption of solar is also helping European homeowners have greater control over their energy costs as fossil fuel prices tend to be more volatile, Morningstar analyst Brett Castelli said.

SolarEdge, which has a bigger exposure to Europe than Enphase, said its first-quarter revenue from the continent more than doubled compared with last year.

In comparison, growth in the United States has been tepid due to lukewarm demand in states like Texas and Arizona where cheaper electricity prices make the economics of residential solar less attractive, even though solar is now cheaper than gas in parts of the U.S. market.

Higher interest rates following the U.S. Federal Reserve's recent actions to tame inflation are also weighing on demand, even as power outage risks rise across the United States.

Analysts also expect weakness in California where a new metering reform reduces the money credited to rooftop solar owners for sending excess power into the grid, underscoring how policy shifts can reshape the sector. The sunshine state accounts for nearly a third of the U.S. residential solar market.

Enphase will report its results on Thursday after the bell, while SolarEdge will release its second-quarter numbers on Aug. 1.

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