Many offices get low to average green scores

By Reuters


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Despite a trend toward going green, most U.S. offices get low or average grades for being environmentally friendly and few use renewable energy sources, according to workers in a poll released.

Fewer than a third of office workers said their buildings are environmentally friendly, according to the poll of 6,486 office workers conducted for IBM Corp.

Slightly more than a third cited their buildings as average in terms of being environmentally friendly, and a third gave their buildings high scores, it found.

Fourteen percent said their buildings use renewable energy sources, while 60 percent said they do not, and 26 percent did not know or were unsure, it said.

While were beginning to see some very good examples of green or energy efficient buildings around the world, around the country, theres still plenty of room for improvement, said Rich Lechner, IBM vice president, energy and environment.

Typically, half of the electricity going into commercial buildings is wasted, such as lights being left on, IBM said.

Roughly onequarter of workers said their buildings adjust the office environment, such as lights and temperature, automatically, based on occupancy, the survey said.

Los Angeles scored highest for building efficiency among the 16 U.S. cities surveyed, with the most respondents saying their buildings automatically adjust lights and temperature and the most saying their buildings use renewable energy sources.

The IBM Smarter Buildings study, conducted by Survey Sampling International, surveyed 6,486 office workers online in 16 major U.S. cities on issues such as lights turning off automatically, presence of sensors that adjust lights and temperature, use of renewable energy sources, lowflow toilets and use of airfriendly products.

The survey was conducted from March 30 to April 12, and the overall statistical margin of error was plus or minus 2 percentage points.

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B.C. Diverting Critical Minerals, Energy from U.S

Canadian Softwood Lumber Tariffs challenge British Columbia's forestry sector, strain U.S.-Canada trade, and risk redirecting critical minerals and energy resources, threatening North American supply chains, manufacturing, and energy security across integrated markets.

 

Key Points

Duties imposed by the U.S. on Canadian lumber, affecting BC forestry, trade flows, and North American energy security.

✅ U.S. duties strain BC forestry and cross-border supply chains

✅ Risks redirecting critical minerals and energy exports

✅ Tariff rollback could bolster North American energy security

 

British Columbia Premier David Eby has raised concerns that U.S. tariffs on Canadian softwood lumber are prompting the province to redirect its critical minerals and energy resources, while B.C. challenges Alberta's electricity export restrictions domestically, away from the United States. In a recent interview, Eby emphasized the broader implications of these tariffs, suggesting they could undermine North American energy security and put electricity exports at risk across the border.

Since 2017, the U.S. Department of Commerce has imposed tariffs on Canadian softwood lumber imports, alleging that Canadian producers benefit from unfair subsidies. These duties have been a persistent source of tension between the two nations, coinciding with Canadian support for energy and mineral tariffs and significantly impacting British Columbia's forestry sector—a cornerstone of the province's economy.

Premier Eby highlighted that the financial strain imposed by these tariffs not only jeopardizes the Canadian forestry industry but also has unintended repercussions for the United States. He pointed out that the economic challenges faced by Canadian producers might lead them to seek alternative markets for their critical minerals and energy resources, as tariff threats boost support for Canadian energy projects domestically, thereby reducing the supply to the U.S. British Columbia is endowed with an abundance of critical minerals essential for various industries, including technology and defense.

The potential redirection of these resources could have significant consequences for American industries that depend on a stable and affordable supply of critical minerals and energy. Eby suggested that the tariffs might incentivize Canadian producers to explore other international markets, even as experts advise against cutting Quebec's energy exports amid the tariff dispute, diminishing the availability of these vital resources to the U.S.

In light of these concerns, Premier Eby has advocated for a reassessment of the tariffs, urging a more cooperative approach between Canada and the United States. He contends that eliminating the tariffs would be mutually beneficial, aligning with views that Biden is better for Canada's energy sector and cross-border collaboration, ensuring a consistent supply of critical resources and fostering economic growth in both countries.

The issue of U.S. tariffs on Canadian softwood lumber remains complex and contentious, with far-reaching implications for trade relations and resource distribution between the two nations. As discussions continue, stakeholders on both sides of the border are closely monitoring the situation, noting that Ford has threatened to cut U.S. electricity exports amid trade tensions, recognizing the importance of collaboration in addressing shared economic and security challenges.

 

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SaskPower to buy more electricity from Manitoba Hydro

SaskPower-Manitoba Hydro Power Sale outlines up to 215 MW of clean hydroelectric baseload for Saskatchewan, supporting renewable energy targets, lower greenhouse gas emissions, and interprovincial transmission line capacity starting 2022 under a 30-year agreement.

 

Key Points

A long-term deal supplying up to 215 MW of hydroelectric baseload from Manitoba to Saskatchewan to cut emissions.

✅ Up to 215 MW delivered starting 2022 via new intertie

✅ Supports 40% GHG reduction target by 2030

✅ 30-year term; complements wind and solar integration

 

Saskatchewan's Crown-owned electric utility has made an agreement to buy more hydroelectricty from Manitoba.

A term sheet providing for a new long--term power sale has been signed between Manitoba Hydro and SaskPower which will see up to 215 megawatts flow from Manitoba to Saskatchewan, as new turbine investments advance in Manitoba, beginning in 2022.

SaskPower has two existing power purchase agreements with Manitoba Hydro that were made in 2015 and 2016, but the newest one announced Monday is the largest, as financial pressures at Manitoba Hydro continue.

SaskPower President and CEO Mike Marsh says in a news release that the clean, hydroelectric power represents a significant step forward when it comes to reaching the utility's goal of reducing greenhouse gas emissions by 40 per cent by 2030, aligning with progress on renewable electricity by 2030 initiatives.

Marsh says it's also reliable baseload electricity, which SaskPower will need as it adds more intermittent generation options like wind and solar.

SaskPower says a final legal contract for the sale is expected to be concluded by mid-2019 and be in effect by 2022, and the purchase agreement would last up to 30 years.

"Manitoba Hydro has been a valued neighbour and business partner over the years and this is a demonstration of that relationship," Marsh said in the news release.

The financial terms of the agreement are not being released, though SaskPower's latest annual report offers context on its finances.

Both parties say the sale will partially rely on the capacity provided by a new transmission line planned for construction between Tantallon, Sask. and Birtle, Man. that was previously announced in 2015 and is expected to be in service by 2021.

"Revenues from this sale will assist in keeping electricity rates affordable for our Manitoba customers, while helping SaskPower expand and diversify its renewable energy supply," Manitoba Hydro president and CEO Kelvin Shepherd said in the utility's own news release.

In 2015, SaskPower signed a 25 megawatt agreement with Manitoba Hydro that lasts until 2022. A 20-year agreement for 100 megawatts was signed in 2016 and comes into effect in 2020, and SaskPower is also exploring a purchase from Flying Dust First Nation to further diversify supply.

The deals are part of a memorandum of understanding signed in 2013 involving up to 500 megawatts.
 

 

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Hydro One stock has too much political risk to recommend, Industrial Alliance says

Hydro One Avista merger faces regulatory scrutiny in Washington, Oregon, and Idaho, as political risk outweighs defensive utilities fundamentals like stable cash flow, rate base growth, EPS outlook, and a near 5% dividend yield.

 

Key Points

A planned Hydro One-Avista acquisition awaiting key state approvals amid elevated political and regulatory risk.

✅ Hold rating, $24 price target, 28.1% implied return

✅ EPS forecast: $1.27 in 2018; $1.38 in 2019

✅ Defensive utility: stable cash flow, 4-6% rate base growth

 

A seemingly positive development for Hydro One is overshadowed by ongoing political and regulatory risk, as seen after the CEO and board ouster, Industrial Alliance Securities analyst Jeremy Rosenfield says.

On October 4, staff from the Washington Utilities and Transportation Commission filed updated testimony in support of the merger of Hydro One and natural gas distributor Avista, which had previously received U.S. antitrust clearance from federal authorities.

The merger, which was announced in July of 2017 has received the green light from federal and key states, with Washington, Oregon and Idaho being exceptions, though the companies would later seek reconsideration from U.S. regulators in the process.

But Rosenfield says even though decisions from Oregon and Idaho are expected by December, there are still too many unknowns about Hydro One to recommend investors jump into the stock.

 

Hydro One stock defensive but risky

“We continue to view Hydro One as a fundamentally defensive investment, underpinned by (1) stable earnings and cash flows from its regulated utility businesses (2) healthy organic rate base and earning growth (4-6%/year through 2022) and (3) an attractive dividend (~5% yield, 70-80% target payout),” the analyst says. “In the meantime, and ahead of key regulatory approvals in the AVA transaction, we continue to see heightened political/regulatory risk as an overhand on the stock, outweighing Hydro One’s fundamentals in the near term.”

In a research update to clients today, Rosenfield maintained his “Hold” rating and one year price target of $24.00 on Hydro One, implying a return of 28.1 per cent at the time of publication.

Rosenfield thinks Hydro One will generate EPS of $1.27 per share in fiscal 2018, even though its Q2 profit plunged 23% as electricity revenue fell. He expects that number will improve to EPS of $1.38 a share the following year.

 

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Duke solar solicitation nearly 6x over-subscribed

Duke Energy Carolinas Solar RFP draws 3.9 GW of utility-scale bids, oversubscribed in DEP and DEC, below avoided cost rates, minimal battery storage, strict PPA terms, and interconnection challenges across North and South Carolina.

 

Key Points

Utility-scale solar procurement in DEC and DEP, evaluated against avoided cost, with few storage bids and PPA terms.

✅ 3.9 GW bids for 680 MW; DEP most oversubscribed

✅ Most projects 7-80 MWac; few include battery storage

✅ Bids must price below 20-year avoided cost estimate

 

Last week the independent administrator for Duke’s 680 MW solar solicitation revealed data about the projects which have bid in response to the offer, showing a massive amount of interest in the opportunity.

Overall, 18 individuals submitted bids for projects in Duke Energy Carolinas (DEC) territory and 10 in Duke Energy Progress (DEP), with a total of more than 3.9 GW of proposals – more nearly 6x the available volume. DEP was relatively more over-subscribed, with 1.2 GWac of projects vying for only 80 MW of available capacity.

This is despite a requirement that such projects come in below the estimate of Duke’s avoided cost for the next 20 years, and amid changes in solar compensation that could affect project economics. Individual projects varied in capacity from 7-80 MWac, with most coming within the upper portion of that range.

These bids will be evaluated in the spring of 2019, and as Duke Energy Renewables continues to expand its portfolio, Duke Energy Communications Manager Randy Wheeless says he expects the plants to come online in a year or two.

 

Lack of storage

Despite recent trends in affordable batteries, of the 78 bids that came in only four included integrated battery storage. Tyler Norris, Cypress Creek Renewables’ market lead for North Carolina, says that this reflects that the methodology used is not properly valuing storage.

“The lack of storage in these bids is a missed opportunity for the state, and it reflects a poorly designed avoided cost rate structure that improperly values storage resources, commercially unreasonable PPA provisions, and unfavorable interconnection treatment toward independent storage,” Norris told pv magazine.

“We’re hopeful that these issues will be addressed in the second RFP tranche and in the current regulatory proceedings on avoided cost and state interconnection standards and grid upgrades across the region.”

 

Limited volume for North Carolina?

Another curious feature of the bids is that nearly the same volume of solar has been proposed for South Carolina as North Carolina – despite this solicitation being in response to a North Carolina law and ongoing legal disputes such as a church solar case that challenged the state’s monopoly model.

 

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Ontario plunging into energy storage as electricity supply crunch looms

Ontario Energy Storage Procurement accelerates grid flexibility as IESO seeks lithium batteries, pumped storage, compressed air, and flywheels to balance renewables, support EV charging, and complement gas peakers during Pickering refits and rising electricity demand.

 

Key Points

Ontario's plan to procure 2,500 MW of storage to firm renewables, aid EV charging, and add flexible grid capacity.

✅ 2,500 MW storage plus 1,500 MW gas for 2025-2027 reliability

✅ Mix: lithium batteries, pumped storage, compressed air, flywheels

✅ Enables VPPs via EVs, demand response, and hybrid solar-storage

 

Ontario is staring down an electricity supply crunch and amid a rush to secure more power, it is plunging into the world of energy storage — a relatively unknown solution for the grid that experts say could also change energy use at home.

Beyond the sprawling nuclear plants and waterfalls that generate most of the province’s electricity sit the batteries, the underground caverns storing compressed air to generate electricity, and the spinning flywheels waiting to store energy at times of low demand and inject it back into the system when needed.

The province’s energy needs are quickly rising, with the proliferation of electric vehicles and growing Canada-U.S. collaboration on EV adoption, and increasing manufacturing demand for electricity on the horizon just as a large nuclear plant that supplies 14 per cent of Ontario’s electricity is set to be retired and other units are being refurbished.

The government is seeking to extend the life of the Pickering Nuclear Generating Station, planning an import agreement for power with Quebec, rolling out conservation programs, and — controversially — relying on more natural gas to fill the looming gap between demand and supply, amid Northern Ontario sustainability debates.

Officials with the Independent Electricity System Operator say a key advantage of natural gas generation is that it can quickly ramp up and down to meet changes in demand. Energy storage can provide that same flexibility, those in the industry say.

Energy Minister Todd Smith has directed the IESO to secure 1,500 megawatts of new natural gas capacity between 2025 and 2027, along with 2,500 megawatts of clean technology such as energy storage that can be deployed quickly, which together would be enough to power the city of Toronto.

It’s a far cry from the 54 megawatts of energy storage in use in Ontario’s grid right now.

Smith said in an interview that it’s the largest active procurement for energy storage in North America.

“The one thing that we want to ensure that we do is continue to add clean generation as much as possible, and affordable and clean generation that’s reliable,” he said.

Rupp Carriveau, director of the Environmental Energy Institute at the University of Windsor, said the timing is good.

“The space is there, the technology is there, and the willingness among private industry to respond is all there,” he said. “I know of a lot of companies that have been rubbing their hands together, looking at this potential to construct storage capacity.”

Justin Rangooni, the executive director of Energy Storage Canada, said because of the relatively tight timelines, the 2,500 megawatts is likely to be mostly lithium batteries. But there are many other ways to store energy, other than a simple battery.

“As we get to future procurements and as years pass, you’ll start to see possibly pump storage, compressed air, thermal storage, different battery chemistry,” he said.

Pump storage involves using electricity during off-peak periods to pump water into a reservoir and slowly releasing it to run a turbine and generate electricity when it’s needed. Compressed air works similarly, and old salt caverns in Goderich, Ont., are being used to store the compressed air.

In thermal storage, electricity is used to heat water when demand is low and when it’s needed, water stored in tanks can be used as heat or hot water.

Flywheels are large spinning tops that can store kinetic energy, which can be used to power a turbine and produce electricity. A flywheel facility in Minto, Ont., also installed solar panels on its roof and became the first solar storage hybrid facility in Ontario, said a top IESO official.

Katherine Sparkes, the IESO’s director of innovation, research and development, said it’s exciting, from a grid perspective.

“As we kind of look to the future and we think about gas phase out and electrification, one of the big challenges that all power systems across North America and around the world are looking at is: how do you accommodate increasing amounts of variable, renewable resources and just make better use of your grid assets,” she said.

“Hybrids, storage generation pairings, gives you that opportunity to deal with the variability of renewables, so to store electricity when the sun isn’t shining, or the wind isn’t blowing, and use it when you need it to.”

The small amount of storage already in the system provides more fine tuning of the electricity system, whereas 2,500 megawatts will be a more “foundational” part of the toolkit, said Sparkes.

But what’s currently on the grid is far from the only storage in the province. Many commercial and industrial consumers, such as large manufacturing facilities or downtown office buildings, are using storage to manage their electricity usage, relying on battery energy when prices are high.

The IESO sees that as an opportunity and has changed market rules to allow those customers to sell electricity back to the grid when needed.

As well, the IESO has its eye on the thousands of mobile batteries in electric vehicles, a trend seen in California, that shuttle people around the province every day but sit unused for much of the time.

“If we can enable those batteries to work together in aggregation, or work with other types of technologies like solar or smart building systems in a configuration, like a group of technologies, that becomes a virtual power plant,” Sparkes said.

Peak Power, a company that seeks to “make power plants obsolete,” is running a pilot project with electric vehicles in three downtown Toronto office buildings in which the car batteries can provide electricity to reduce the facility’s overall demand during peak periods using vehicle-to-building charging with bidirectional chargers.

In that model, one vehicle can earn $8,000 per year, said cofounder and chief operating officer Matthew Sachs.

“Battery energy storage will change the energy industry in the same way and for the same reasons that refrigeration changed the milk industry,” he said.

“As you had refrigeration, you could store your commodity and that changed the distribution channels of it. So I believe that energy storage is going to radically change the distribution channels of energy.”

If every home has a solar panel, an electric vehicle and a residential battery, it becomes a generating station, a decentralization that’s not only more environmentally friendly, but also relies less on “monopolized utilities,” Sachs said.

In the next decade, energy demand from electric vehicles is projected to skyrocket, making vehicle-to-grid integration increasingly relevant, and Sachs said the grid can’t grow enough to accommodate a peak demand of hundreds of thousands of vehicles being plugged in to charge at the end of the workday commute. Authorities need to be looking at more incentives such as time-of-use pricing and price signals to ensure the demand is evened out, he said.

“It’s a big risk as much as it’s a big opportunity,” he said. “If we do it wrong, it will cost us billions to fix. If we do it right, it can save us billions.”

Jack Gibbons, the chair of the Ontario Clean Air Alliance, said the provincial and federal governments need to fund and install bidirectional chargers in order to fully take advantage of electric vehicles.

“This is a huge missed opportunity,” he said.

 

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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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