Lawmakers push bill to connect Texas grid to rest of the nation

ERCOT Ancillary Services Clawback and VOLL Pricing summarize PUCT and IMM actions on load shed, real-time pricing adders, clawbacks, and settlement corrections after the 2021 winter storm in the Texas power grid market.

Key Points

Policies addressing clawbacks for unprovided AS and correcting VOLL-based price adders after load shed ended in ERCOT.

✅ PUCT ordered clawbacks for ancillary services not delivered.

✅ IMM urged price correction after firm load shed ceased.

✅ ERCOT's VOLL adder raised costs by $16B during 32 hours.

Potomac Economics, the Independent Market Monitor (IMM) for the Electric Reliability Council of Texas (ERCOT), filed a report with the Public Utility Commission of Texas (PUCT) that certain payments were made by ERCOT for Ancillary Services (AS) that were not provided, even as ERCOT later issued a winter reliability RFP to procure capacity during subsequent seasons.

According to the IMM (emphasis added):

There were a number of instances during the operating days outlined above in which AS was not provided in real time because of forced outages or derations. For market participants that are not able to meet their AS responsibility, typically the ERCOT operator marks the short amount in the software. This causes the AS responsibility to be effectively removed and the day-ahead AS payment to be clawed back in settlement. However, the ERCOT operators did not complete this task during the winter event, echoing issues like the Ontario IESO phantom demand that cost customers millions, and therefore the "failure to provide" settlements were not invoked in real time.

Removing the operator intervention step and automating the "failure to provide" settlement was contemplated in NPRR947: Clarification to Ancillary Service Supply Responsibility Definition and Improvements to Determining and Charging for Ancillary Service Failed Quantities; however, the NPRR was withdrawn in August 2020 amid ongoing market reform discussions because of the system cost, some complexities related to AS trades, and the implementation of real-time co-optimization.

Invoking the "failure to provide" settlement for all AS that market participants failed to provide during the operating days outlined above will produce market outcomes and settlements consistent with underlying market principles. In this case, the principle is that market participants should not be paid for services that they do not provide, even as a separate ruling found power plants exempt from providing electricity in emergencies under Texas law, underscoring the distinction between obligations and settlements. Whether ERCOT marked the short amount in real-time or not should not affect the settlement of these ancillary services.

On March 3, 2021, the PUCT ordered (a related press release is here) that:

ERCOT shall claw back all payments for ancillary service that were made to an entity that did not provide its required ancillary service during real time on ERCOT operating days starting February 14, 2021 and ending on February 19,2021.

On March 4, 2021, the IMM filed another report and recommended that:

the [PUCT] direct ERCOT to correct the real-time prices from 0:00 February 18,2021, to 09:00 February 19, 2021, to remove the inappropriate pricing intervention that occurred during that time period.

The IMM approvingly noted the PUCT's February 15, 2021 order, which mandated that real-time energy prices reflect firm load shed by setting prices at the value of lost load (VOLL).1

According to the IMM (emphasis added):

This is essential in an energy-only market, like ERCOT's, where the Texas power grid faces recurring crisis risks, because it provides efficient economic signals to increase the electric generation needed to restore the load and service it reliably over the long term.

Conversely, it is equally important that prices not reflect VOLL when the system is not in shortage and load is being served, and experiences in capacity markets show auction payouts can fall sharply under different conditions. The Commission recognized this principle in its Order, expressly stating it is only ERCOT's out-of-market shedding firm load that is required to be reflected in prices. Unfortunately, ERCOT exceeded the mandate of the Commission by continuing to set process at VOLL long after it ceased the firm load shed.

ERCOT recalled the last of the firm load shed instructions at 23:55 on February 17, 2021. Therefore, in order to comply with the Commission Order, the pricing intervention that raised prices to VOLL should have ended immediately at that time. However, ERCOT continued to hold prices at VOLL by inflating the Real-Time On-Line Reliability Deployment Price Adder for an additional 32 hours through the morning of February 19. This decision resulted in $16 billion in additional costs to ERCOT's market, prompting legislative bailout proposals in Austin, of which roughly $1.5 billion was uplifted to load-serving entities to provide make-whole payments to generators for energy that was not needed or produced.

However, at its March 5, 2021, open meeting (related discussion begins around minute 20), although the PUCT acknowledged the "good points" raised by the IMM, the PUCT was not willing to retrospectively adjust its real-time pricing for this period out of concerns that some related transactions (ICE futures and others) may have already settled and for unintended consequences of such retroactive adjustments.  

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Ireland electricity support measures include PSO levy rebates, RESS 2 renewables, CRU-directed EirGrid backup capacity, and grid investment for the Celtic Interconnector, cutting bills, boosting security of supply, and reducing reliance on imported fossil fuels.

Key Points

Government steps to cut bills and secure supply via PSO rebates, RESS 2 renewables, backup power, and grid upgrades.

✅ PSO levy rebates lower domestic electricity bills.

✅ RESS 2 adds wind, solar, and hydro to the grid.

✅ EirGrid to procure temporary backup capacity for winter peaks.

Ireland's Cabinet has approved a package of measures to help mitigate the rising cost of rising electricity bills, as Irish provider price increases continue to pressure consumers, and to ensure secure supplies to electricity for households and business across Ireland over the coming years.

The package of measures includes changes to the Public Service Obligation (PSO) levy (beyond those announced earlier in the year), which align with emerging EU plans for more fixed-price electricity contracts to improve price stability. The changes will result in rebates, and thus savings, for domestic electricity bills over the course of the next PSO year beginning in October. This further reduction in the PSO levy occurs because of a fall in the relative cost of renewable energy, compared to fossil fuel generation.

The Government has also approved the final results of the second onshore Renewable Electricity Support Scheme (RESS 2) auction, echoing how Ontario's electricity auctions have aimed to lower costs for consumers. This will bring significantly more indigenous wind, solar and hydro-electric energy onto the National Grid. This, in turn, will reduce our reliance on increasingly expensive imported fossil fuels, as the UK explores ending the gas-electricity price link to curb bills.

The package also includes Government approval for the provision of funding for back-up generation capacity, to address risks to security of electricity supply over the coming winters, similar to the UK's forthcoming energy security law approach in this area. The Commission for the Regulation of Utilities (CRU), which has statutory responsibility for security of supply, has directed EirGrid to procure additional temporary emergency generation capacity (for the winters of 2023/2024 to 2025/2026). This will ultimately provide flexible and temporary back-up capacity, to safeguard secure supplies of electricity for households and businesses as we deploy longer-term generation capacity.

Today’s measures also see an increased borrowing limit (€3 billion) for EirGrid – to strengthen our National Grid as part of 'Shaping Our Electricity Future' and to deliver the Celtic (Ireland-France) Interconnector, amid wider European moves to revamp the electricity market that could enhance cross-border resilience. An increased borrowing limit (€650 million) for Bord na Móna will drive greater deployment of indigenous renewable energy across the Midlands and beyond – as part of its 'Brown to Green' strategy, while measures like the UK's household energy price cap illustrate the scale of consumer support elsewhere.

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India Industrial Output Slowdown deepens as power demand slumps, IIP contracts, and electricity, manufacturing, and mining weaken; capital goods plunge while RBI rate cuts struggle to lift GDP growth, infrastructure, and fuel demand.

Key Points

A downturn where IIP contracts as power demand, manufacturing, mining, and capital goods fall despite RBI rate cuts.

✅ IIP fell 4.3% in Sep, worst since Feb 2013.

✅ Power demand dropped for a third month, signaling weak industry.

✅ Capital goods output plunged 20.7%, highlighting weak investment.

India's power demand fell at the fastest pace in at least 12 years in October, signalling a continued decline in the industrial output, mirroring how China's power demand dropped when plants were shuttered, according to government data. Electricity has about 8% weighting in the country's index for industrial production.

India needs electricity to fuel its expanding economy and has at times rationed coal supplies when demand surged, but a third decline in power consumption in as many months points to tapering industrial activity in a nation that aims to become a $5 trillion economy by 2024.

India's industrial output fell at the fastest pace in over six years in September, adding to a series of weak indicators that suggests that the country’s economic slowdown is deep-rooted and interest rate cuts alone may not be enough to revive growth.

Annual industrial output contracted 4.3% in September, government data showed on Monday. It was the worst performance since a 4.4% contraction in February 2013, according to Refinitiv data.

Analysts polled by Reuters had forecast industrial output to fall 2% for the month.

“A contraction of industrial production by 4.3% in September is serious and indicative of a significant slowdown as both investment and consumption demand have collapsed,” said Rupa Rege Nitsure, chief economist of L&T Finance Holdings.

The industrial output figure is the latest in a series of worrying economic data in Asia's third largest economy, which is also the world's third-largest electricity producer as well.

Economists say that weak series of data could mean economic growth for July-September period will remain near April-June quarter levels of 5%, which was a six-year low, and some analysts argue for rewiring India's electricity to bolster productivity. The Indian government is likely to release April-September economic growth figures by the end of this month.

Subdued inflation and an economic slowdown have prompted the Reserve Bank of India (RBI) to cut interest rates by a total of 135 basis points this year, while coal and electricity shortages eased in recent months.

“These are tough times for the RBI, as it cannot do much about it but there will be pressures on it to act ...Blunt tools like monetary policy may not be effective anymore,” Nitsure said.

Data showed in September mining sector fell 8.5%, while manufacturing and electricity fell 3.9% and 2.6% respectively, even as imported coal volumes rose during April-October. Capital goods output during the month fell 20.7%, indicating sluggish demand.

“IIP (Index of Industrial Production) growth in October 2019 is also likely to be in negative territory and only since November 2019 one can expect mild IIP expansion, said Devendra Kumar Pant, Chief Economist and Senior Director, Public Finance, India Ratings & Research (Fitch Group).

Infrastructure output, which comprises eight main sectors, in September showed a contraction of 5.2%, the worst in 14 years, even as global daily electricity demand fell about 15% during pandemic lockdowns.

India's fuel demand fell to its lowest in more than two years in September, with consumption of diesel to its lowest levels since January 2017. Diesel and gasoline together make up over 7.4% of the IIP weightage.

In 2019/20 India's fuel demand — also seen as an indicator of economic and industrial activity — is expected to post the slowest growth in about six years.

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Transcranial electrical stimulation synchronizes brain waves to bolster working memory, aligning neural oscillations across the prefrontal and temporal cortex. This noninvasive brain stimulation may counter cognitive aging by restoring network coupling and improving short-term recall.

Key Points

Transcranial electrical stimulation applies scalp currents to synchronize brain waves, briefly enhancing working memory.

✅ Synchronizes prefrontal-temporal networks to restore coupling

✅ Noninvasive tES/tACS protocols show rapid, reversible gains

✅ Effects lasted under an hour; durability remains to be tested

To read this sentence, you hold the words in your mind for a few seconds until you reach the period. As you do, neurons in your brain fire in coordinated bursts, generating electrical waves that let you hold information for as long as it is needed, much as novel devices can generate electricity from falling snow under specific conditions. But as we age, these brain waves start to get out of sync, causing short-term memory to falter. A new study finds that jolting specific brain areas with a periodic burst of electricity might reverse the deficit—temporarily, at least.

The work makes “a strong case” for the idea that out-of-sync brain waves in specific regions can drive cognitive aging, says Vincent Clark, a neuroscientist at the University of New Mexico in Albuquerque, who was not involved in the research. He adds that the brain stimulation approach in the study may result in a new electrical therapy for age-related deficits in working memory.

Working memory is “the sketchpad of the mind,” allowing us to hold information in our minds over a period of seconds. This short-term memory is critical to accomplishing everyday tasks such as planning and counting, says Robert Reinhart, a neuroscientist at Boston University who led the study. Scientists think that when we use this type of memory, millions of neurons in different brain areas communicate through coupled bursts of activity, a form of electrical conduction that coordinates timing across networks. “Cells that fire together, wire together,” Reinhart says.

But despite its critical role, working memory is a fragile cognitive resource that declines with age, Reinhart says. Previous studies had suggested that reduced working-memory performance in the elderly is linked to uncoupled activity in different brain areas. So Reinhart and his team set out to test whether recoupling brain waves in older adults could boost the brain’s ability to temporarily store information, a systems-level coordination challenge akin to efforts to use AI for energy savings on modern power grids.

To do so, the researchers used jolts of weak electrical current to synchronize waves in the prefrontal and temporal cortex—two brain areas critical for cognition, a targeted approach not unlike how grids use batteries to stabilize power during strain—and applied the current to the scalps of 42 healthy people in their 60s and 70s who showed no signs of decline in mental ability. Before their brains were zapped, participants looked at a series of images: an everyday object, followed briefly by a blank screen, and then either an identical or a modified version of the same object. The goal was to spot whether the two images were different.

Then the participants took the test again, while their brains were stimulated with a current. After about 25 minutes of applying electricity, participants were on average more accurate at identifying changes in the images than they were before the stimulation. Following stimulation, their performance in the test was indistinguishable from that of a group of 42 people in their 20s. And the waves in the prefrontal and temporal cortex, which had previously been out of sync in most of the participants, started to fire in sync, the researchers report today in Nature Neuroscience, a synchronization imperative reminiscent of safeguards that prevent power blackouts on threatened grids. No such effects occurred in a second group of older people who received jolts of current that didn’t synchronize waves in the prefrontal and temporal cortex.

By using bursts of current to knock brain waves out of sync, the researchers also modulated the brain chatter in healthy people in their 20s, making them slower and less accurate at spotting differences in the image test.

“This is a very nice and clear demonstration of how functional connections underlie memory in younger adults and how alterations … can lead to memory reductions in older adults,” says Cheryl Grady, a cognitive neuroscientist at the Rotman Research Institute at Baycrest in Toronto, Canada. It’s also the first time that transcranial stimulation has been shown to restore working memory in older people, says Michael O’Sullivan, a neuroscientist at the University of Queensland in Brisbane, Australia, though electricity in medicine extends far beyond neurostimulation.

But whether brain zapping could turbocharge the cognitive abilities of seniors or help improve the memories of people with diseases like Alzheimer’s is still unclear: In the study, the positive effects on working memory lasted for just under an hour—though Reinhart says that’s as far as they recorded in the experiment. The team didn’t see the improvements decline toward the end, so he suspects that the cognitive boost may last for longer. Still, researchers say much more work has to be done to better understand how the stimulation works.

Clark is optimistic. “No pill yet developed can produce these sorts of effects safely and reliably,” he says. “Helping people is the ultimate goal of all of our research, and it’s encouraging to see that progress is being made.”

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Alberta Coal Transition Support offers EI top-ups, 75% wage replacement, retraining, tuition vouchers, and on-site advice for workers leaving thermal coal mines and coal-fired power plants during the provincial phase-out.

Key Points

Alberta Coal Transition Support is a $40M program providing EI top-ups, retraining, and tuition vouchers to coal workers.

✅ 75% EI top-up; province requests federal alignment

✅ Tuition vouchers and retraining for displaced workers

✅ On-site transition services; about 2,000 workers affected

Alberta is putting aside $40 million to help workers losing their jobs as the province transitions away from thermal coal mines and coal-fired power plants, a shift connected to the future of work in the electricity sector over the next decade.

Labour Minister Christina Gray says the money will top up benefits to 75 per cent of a worker’s previous earnings during the time they collect employment insurance, amid regional shifts such as how COVID-19 reshaped Saskatchewan in recent months.

Alberta is asking the federal government to not claw back existing benefits as the province tops up those EI benefits, as utilities face pressures like Manitoba Hydro cost-cutting during the pandemic, while also extending EI benefits for retiring coal workers.

Gray says even if the federal government does not step up, the province will provide the funds to match that 75 per cent threshold, a contrast to problems such as Kentucky miners' cold checks seen elsewhere.

There will also be help for workers in the form of tuition vouchers, retraining programs like the Nova Scotia energy training program that connects youth to the sector, and on-site transitioning advice.

The province estimates there are 2,000 workers affected.

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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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