Power, we have - infrastructure, not so much

Adani Electricity Mumbai Power Cuts follow non-payment rules, reflecting billing disputes, regulatory compliance, consumer impact, and affordability concerns, while prompting mitigation measures like flexible payment plans, assistance programs, and clearer communication for residents.

Key Points

AEML cutoffs for unpaid bills per rules, raising affordability worries, billing issues, and calls for flexible aid.

✅ Triggered by unpaid bills under regulatory guidelines

✅ Affordability and billing transparency concerns raised

✅ Mitigation: flexible plans, aid for low-income users

Adani Electricity Mumbai Limited (AEML) recently made headlines by cutting power supply to around 100 homes in Mumbai, sparking discussions about the reasons behind this action and its implications for consumers, especially as reports like the Northeast D.C. outage continue to surface.

Background of the Incident

The power supply disconnections by AEML were reportedly due to non-payment of electricity bills by the affected households. This action, although necessary under AEML's policies and in accordance with regulatory guidelines, has raised concerns about the impact on residents, particularly during challenging economic times when pandemic electricity shut-offs highlighted energy insecurity.

Reasons for Non-Payment

Non-payment of electricity bills can stem from various reasons, including financial hardships, disputes over billing accuracy, or unforeseen circumstances affecting household finances. In Mumbai, where the cost of living is high, utility bills constitute a significant portion of monthly expenses for many households, mirroring trends of rising electricity bills seen elsewhere.

Regulatory and Legal Framework

AEML's decision to disconnect power supply aligns with regulatory provisions governing utility services, which may include emergency disconnection moratoriums in other jurisdictions. Utility companies are mandated to enforce bill payments to maintain operational sustainability and ensure fair distribution of resources among consumers.

Consumer Impact and Response

The power disconnections have prompted reactions from affected residents and consumer advocacy groups, highlighting issues related to affordability, transparency in billing practices, and the need for supportive measures during times of economic distress amid heat-related electricity struggles that pressure vulnerable households.

Mitigation Measures

In response to such incidents, utility companies and regulatory authorities often implement mitigation measures. These may include flexible payment options, financial assistance programs for low-income households, and enhanced communication about billing procedures and payment deadlines, along with policy scrutiny such as utility spending oversight to curb unnecessary costs.

Future Considerations

As cities like Mumbai continue to grow and face challenges related to urbanization and infrastructure development, ensuring reliable and affordable access to essential services like electricity, including efforts to prevent summer power outages, remains a priority. Balancing the operational needs of utility providers with consumer welfare concerns requires ongoing dialogue and proactive measures from all stakeholders.

Conclusion

The power supply cuts by Adani Electricity in Mumbai underscore the complexities of managing utility services in urban centers. While necessary for financial viability and regulatory compliance, such actions also highlight broader issues of affordability and consumer protection. Moving forward, collaborative efforts between utility companies, regulatory authorities, and community stakeholders are essential in addressing these challenges and ensuring equitable access to essential services for all residents.

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Waste-to-Graphene uses flash joule heating to convert carbon-rich trash into turbostratic graphene for composites, asphalt, concrete, and flexible electronics, delivering scalable, low-cost, high-quality material from food scraps, plastics, and tires with minimal processing.

Key Points

A flash heating method converting waste carbon into turbostratic graphene for scalable, low-cost industrial uses.

✅ Converts food scraps, plastics, and tires into graphene

✅ Produces turbostratic flakes that disperse well in composites

✅ Scalable, low-cost process via flash joule heating

Science doesn’t usually take after fairy tales. But Rumpelstiltskin, the magical imp who spun straw into gold, would be impressed with the latest chemical wizardry. Researchers at Rice University report today in Nature that they can zap virtually any source of solid carbon, from food scraps to old car tires, and turn it into graphene—sheets of carbon atoms prized for applications ranging from high-strength plastic to flexible electronics, and debates over 5G electricity use continue to evolve. Current techniques yield tiny quantities of picture-perfect graphene or up to tons of less prized graphene chunks; the new method already produces grams per day of near-pristine graphene in the lab, and researchers are now scaling it up to kilograms per day.

“This work is pioneering from a scientific and practical standpoint” as it promises to make graphene cheap enough to use to strengthen asphalt or paint, says Ray Baughman, a chemist at the University of Texas, Dallas. “I wish I had thought of it.” The researchers have already founded a new startup company, Universal Matter, to commercialize their waste-to-graphene process, while others are digitizing the electrical system to modernize infrastructure.

With atom-thin sheets of carbon atoms arranged like chicken wire, graphene is stronger than steel, conducts electricity and heat better than copper, and can serve as an impermeable barrier preventing metals from rusting, while advances such as superconducting cables aim to cut grid losses. But since its 2004 discovery, high-quality graphene—either single sheets or just a few stacked layers—has remained expensive to make and purify on an industrial scale. That’s not a problem for making diminutive devices such as high-speed transistors and efficient light-emitting diodes. But current techniques, which make graphene by depositing it from a vapor, are too costly for many high-volume applications. And higher throughput approaches, such as peeling graphene from chunks of the mineral graphite, produce flecks composed of up to 50 graphene layers that are not ideal for most applications.

Graphene comes in many forms. Single sheets, which are ideal for electronics and optics, can be grown using a method called chemical vapor deposition. But it produces only tiny amounts. For large volumes, companies commonly use a technique called liquid exfoliation. They start with chunks of graphite, which is just myriad stacked graphene layers. Then they use acids and solvents, as well as mechanical grinding, to shear off flakes. This approach typically produces tiny platelets each made up of 20 to 50 layers of graphene.

In 2014, James Tour, a chemist at Rice, and his colleagues found they could make a pure form of graphene—each piece just a few layers thick—by zapping a form of amorphous carbon called carbon black with a laser. Brief pulses heated the carbon to more than 3000 kelvins, snapping the bonds between carbon atoms; for comparison, researchers have also generated electricity from falling snow using triboelectric effects. As the cloud of carbon cooled, it coalesced into the most stable structure possible, graphene. But the approach still produced only tiny qualities and required a lot of energy.

Two years ago, Luong Xuan Duy, one of Tour’s graduate students, read that other researchers had created metal nanoparticles by zapping a material with electricity, creating the same brief blast of heat behind the success of the laser graphene approach. “I wondered if I could use that to heat a carbon source and produce graphene,” Duy says. So, he put a dash of carbon black in a clear glass vial and zapped it with 400 volts, similar in spirit to electrical weed zapping approaches in agriculture, for about 200 milliseconds. Initially he got junk. But after a bit of tweaking, he managed to create a bright yellowish white flash, indicating the temperature inside the vial was reaching about 3000 kelvins. Chemical tests revealed he had produced graphene.

It turned out to be a type of graphene that is ideal for bulk uses. As the carbon atoms condense to form graphene, they don’t have time to stack in a regular pattern, as they do in graphite. The result is a material known as turbostatic graphene, with graphene layers jumbled at all angles atop one another. “That’s a good thing,” Duy says. When added to water or other solvents, turbostatic graphene remains suspended instead of clumping up, allowing each fleck of the material to interact with whatever composite it’s added to.

“This will make it a very good material for applications,” says Monica Craciun, a materials physicist at the University of Exeter. In 2018, she and her colleagues reported that adding graphene to concrete more than doubled its compressive strength. Tour’s team saw much the same result. When they added just 0.05% by weight of their flash-produced graphene to concrete, the compressive strength rose 25%; graphene added to polydimethylsiloxane, a common plastic, boosted its strength by 250%.

As digital control spreads across energy networks, research to counter ransomware-driven blackouts is increasingly important for grid resilience.

Those results could reignite efforts to use graphene in a wide range of composites. Researchers in Italy reported recently that adding graphene to asphalt dramatically reduces its tendency to fracture and more than doubles its life span. Last year, Iterchimica, an Italian company, began to test a 250-meter stretch of road in Milan paved with graphene-spiked asphalt. Tests elsewhere have shown that adding graphene to paint dramatically improves corrosion resistance.

These applications would require high-quality graphene by the ton. Fortunately, the starting point for flash graphene could hardly be cheaper or more abundant: Virtually any organic matter, including coffee grounds, food scraps, old tires, and plastic bottles, can be vaporized to make the material. “We’re turning garbage into graphene,” Duy says.

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Ontario Electricity Rates update: OEB sets time-of-use and tiered pricing for residential customers, with kWh charges for peak, mid-peak, and off-peak periods reflecting COVID-19 impacts on demand, supply costs, and pricing.

Key Points

Ontario Electricity Rates are OEB-set time-of-use and tiered prices that set per-kWh costs for residential customers.

✅ Time-of-use: 21.7 peak, 15.0 mid-peak, 10.5 off-peak cents/kWh

✅ Tiered: 12.6 cents/kWh up to 1000 kWh, then 14.6 cents/kWh

✅ Average 700 kWh home pays about $2.24 more per month

Energy bills for the typical Ontario home are going up by about two per cent with fixed pricing coming to an end on Nov. 1, the Ontario Energy Board says. 

The province's electricity regulator has released new time-of-use pricing and says the rate for the average residential customer using 700 kWh per month will increase by about $2.24.

The change comes as Ontario stretches into its eight month of the COVID-19 pandemic with new case counts reaching levels higher than ever seen before.

Time-of-use pricing had been scrapped for residential bills for much for the pandemic with a single fixed COVID-19 hydro rate set for all hours of the day. The move, which came into effect June 1, was meant "to support families, small business and farms while Ontario plans for the safe and gradual reopening of the province," the OEB said at the time.

Ontario later set the off-peak price until February 7 around the clock to provide additional relief.

Fixed pricing meant customers' bills reflected how much power they used, rather than when they used it. Customers were charged 12.8 cents/kWh under the COVID-19 recovery rate no matter their time of use.

Beginning November, the province says customers can choose between time-of-use and tiered pricing options. Rates for time-of-use plans will be 21.7 cents/kWh during peak hours, 15 cents/kWh for mid-peak use and 10.5 cents/kWh for off-peak use. 

Customers choosing tiered pricing will pay 12.6 cents/kWh for the first 1000 kWh each month and then 14.6 cents/kWh for any power used beyond that.

The energy board says the increase in pricing reflects "a combination of factors, including those associated with the COVID-19 pandemic, that have affected demand, supply costs and prices in the summer and fall of 2020."

Asked for his reaction to the move Tuesday, Premier Doug Ford said, "I hate it," adding the province inherited an energy "mess" from the previous Liberal government and are "chipping away at it."

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California clean electricity accelerates with renewables as solar and wind surge, battery storage strengthens grid resilience, natural gas declines, and coal fades, advancing SB 100 targets, carbon neutrality goals, and affordable, reliable power statewide.

Key Points

California clean electricity is the state's transition to renewable, zero-carbon power, scaling solar, wind and storage.

✅ Solar generation up nearly 20x since 2012

✅ Natural gas power down 20%; coal nearly phased out

✅ Battery storage shifts daytime surplus to evening demand

Data from the California Energy Commission (CEC) highlight California’s continued progress toward building a more resilient grid, achieving 100 percent clean electricity and meeting the state’s carbon neutrality goals.

Analysis of the state’s Total System Electric Generation report shows how California’s power mix has changed over the last decade. Since 2012:

Solar generation increased nearly twentyfold from 2,609 gigawatt-hours (GWh) to 48,950 GWh.

• Wind generation grew by 63 percent.
• Natural gas generation decreased 20 percent.
• Coal has been nearly phased-out of the power mix, and renewable electricity surpassed coal nationally in 2022 as well.

In addition to total utility generation, rooftop solar increased by 10 times generating 24,309 GWh of clean power in 2022. The state’s expanding fleet of battery storage resources also help support the grid by charging during the day using excess renewable power for use in the evening.

“This latest report card showing how solar energy boomed as natural gas powered electricity experienced a steady 20 percent decline over the last decade is encouraging,” said CEC Vice Chair Siva Gunda. “Even as climate impacts become increasingly severe, California remains committed to transitioning away from polluting fossil fuels and delivering on the promise to build a future power grid that is clean, reliable and affordable.”

Senate Bill 100 (2018) requires 100 percent of California’s electric retail sales be supplied by renewable and zero-carbon energy sources by 2045. To keep the state on track, last year Governor Gavin Newsom signed SB 1020, establishing interim targets of 90 percent clean electricity by 2035 and 95 percent by 2040.

The state monitors progress through the Renewables Portfolio Standard (RPS), which tracks the power mix of retail sales, and regional peers such as Nevada's RPS progress offer useful comparison. The latest data show that in 2021 more than 37 percent of the state’s electricity came from RPS-eligible sources such as solar and wind, an increase of 2.7 percent compared to 2020. When combined with other sources of zero-carbon energy such as large hydroelectric generation and nuclear, nearly 59 percent of the state’s retail electricity sales came from nonfossil fuel sources.

The total system electric generation report is based on electric generation from all in-state power plants rated 1 megawatt (MW) or larger and imported utility-scale power generation. It reflects the percentage of a specific resource compared to all power generation, not just retail sales. The total system electric generation report accounts for energy used for water conveyance and pumping, transmission and distribution losses and other uses not captured under RPS.

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China Power Demand-Emissions Gap highlights surging grid demand outpacing renewables, with coal filling shortages despite record solar, wind, EV charging, and hydrogen growth, threatening decarbonization targets and net-zero pathways through 2030.

Key Points

China's power demand outpaces renewables, keeping coal dominant and raising emissions risk through the 2020s.

✅ Record solar and wind still lag fast grid demand growth

✅ Coal fills gaps as EV charging and hydrogen loads rise

✅ Forecasts diverge: CEC bullish vs IEA, BNEF conservative

Here’s a new obstacle that could prevent the world finally turning the corner on climate change: Imagine that over the coming decade a whole new economy the size of Russia were to pop up out of nowhere. With the world’s fourth-largest electricity sector and largest burden of power plant emissions after China, the U.S. and India, this new economy on its own would be enough to throw out efforts to halt global warming — especially if it keeps on growing through the 2030s.

That’s the risk inherent in China’s seemingly insatiable appetite for grid power, as surging electricity demand is putting systems under strain worldwide.

From the cracking pace of renewable build-out last year, you might think the country had broken the back of its carbon addiction. A record 55 gigawatts of solar power and 48 gigawatts of wind were connected — comparable to installing the generation capacity of Mexico in less than 12 months. This year will see an even faster pace, with 93 GW of solar and 50 GW of wind added, according to a report last week from the China Electricity Council, an industry association.

That progress could in theory see the country’s power sector emissions peak within months, rather than the late-2020s date the government has hinted at. Combined with a smaller quantity of hydro and nuclear, low-emissions sources will probably add about 310 terawatt-hours to zero-carbon generation this year. That 3.8% increase would be sufficient to power the U.K.

Countries that have reached China’s levels of per-capita electricity consumption (already on a par with most of Europe) typically see growth rates at less than half that level, even as global power demand has surged past pre-pandemic levels in recent years. Grid supply could grow at a faster pace than Brazil, Iran, South Korea or Thailand managed over the past decade without adding a ton of additional carbon to the atmosphere.

There’s a problem with that picture, however. If electricity demand grows at an even more headlong pace, there simply won’t be enough renewables to supply the grid. Fossil fuels, overwhelmingly coal, will fill the gap, a reminder of the iron law of climate dynamics in energy transitions.

Such an outcome looks distinctly possible. Electricity consumption in 2021 grew at an extraordinary rate of 10%, and will increase again by between 5% and 6% this year, according to the CEC. That suggests the country is on pace to match the CEC’s forecasts of bullish grid demand over the coming decade, with generation hitting 11,300 terawatt-hours in 2030. External analysts, such as the International Energy Agency and BloombergNEF, envisage a more modest growth to around 10,000 TWh. 

The difference between those two outlooks is vast — equivalent to all the electricity produced by Russia or Japan. If the CEC is right and the IEA and BloombergNEF are wrong, even the furious rate of renewable installations we’re seeing now won’t be enough to rein in China’s power-sector emissions.

Who’s correct? On one hand, it’s fair to say that power planners usually err on the side of overestimation. If your forecast for electricity demand is too high, state-owned generators will be less profitable than they otherwise would have been — but if it’s too low, you’ll see power cuts and shutdowns like China witnessed last autumn, with resulting power woes affecting supply chains beyond its borders.

On the other hand, the decarbonization of China’s economy itself should drive electricity demand well above what we’ve seen in the past, with some projections such as electricity meeting 60% of energy use by 2060 pointing to a profound shift. Some 3.3 million electric vehicles were sold in 2021 and BloombergNEF estimates a further 5.7 million will be bought in 2022. Every million EVs will likely add in the region of 2 TWh of load to the grid. Those sums quickly mounts up in a country where electric drivetrains are taking over a market that shifts more than 25 million new cars a year.

Decarbonizing industry, a key element on China’s road to zero emissions, could also change the picture. The IEA sees the country building 25 GW of electolysers to produce hydrogen by 2030, enough to consume some 200 TWh on their own if run close to full-time.

That’s still not enough to justify the scale of demand being forecast, though. China is already one of the least efficient countries in the world when it comes to translating energy into economic growth, and despite official pressure on the most wasteful, so called “dual-high” industries such as steel, oil refining, glass and cement, its targets for more thrifty energy usage remain pedestrian.

The countries that have decarbonized fastest are those, such as Germany, the U.K and the U.S., where Americans are using less electricity, that have seen power demand plateau or even decline, giving new renewable power a chance to swap out fossil-fired generators without chasing an ever-increasing burden on the grid. China’s inability to do this as its population peaks and energy consumption hits developed-country levels isn’t a sign of strength.

Instead, it’s a sign of a country that’s chronically unable to make the transition away from polluting heavy industry and toward the common prosperity and ecological civilization that its president keeps promising. Until China reins in that credit-fueled development model, the risks to its economy and the global climate will only increase.

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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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