Nova Scotia reviews renewables project program

Summer Heatwave Electricity Shutoffs strain utilities and vulnerable communities, highlighting energy assistance, utility moratoriums, cooling centers, demand response, and grid resilience amid extreme heat, climate change, and rising air conditioning loads.

Key Points

Service disconnections for unpaid bills during extreme heat, risking vulnerable households and straining power grids.

✅ Moratoriums and flexible payment plans reduce shutoff risk.

✅ Cooling centers and assistance programs protect at-risk residents.

✅ Demand response, smart grids, and efficiency ease peak loads.

As summer temperatures soar, millions of people across the United States face the grim prospect of electricity shutoffs due to unpaid bills, as heat exacerbates electricity struggles for many families nationwide. This predicament highlights a critical issue exacerbated by extreme weather conditions and economic disparities.

The Challenge of Summer Heatwaves

Summer heatwaves not only strain power grids, as unprecedented electricity demand has shown, but also intensify energy consumption as households and businesses crank up their air conditioning units. This surge in demand places considerable stress on utilities, particularly in regions unaccustomed to prolonged heatwaves or lacking adequate infrastructure to cope with increased loads.

Vulnerable Populations

The threat of electricity shutoffs disproportionately affects vulnerable populations, including low-income households who face sky-high energy bills during extreme heat, elderly individuals, and those with underlying health conditions. Lack of access to air conditioning during extreme heat can lead to heat-related illnesses such as heat exhaustion and heatstroke, posing serious health risks.

Economic and Social Implications

The economic impact of electricity shutoffs extends beyond immediate discomfort, affecting productivity, food storage, and the ability to work remotely for those reliant on electronic devices, while rising electricity prices further strain household budgets. Socially, the inability to cool homes and maintain basic comforts strains community resilience and exacerbates inequalities.

Policy and Community Responses

In response to these challenges, policymakers and community organizations advocate for measures to prevent electricity shutoffs during heatwaves. Proposed solutions include extending moratoriums on shutoffs, informed by lessons from COVID-19 energy insecurity measures, implementing flexible payment plans, providing financial assistance to at-risk households, and enhancing communication about available resources.

Public Awareness and Preparedness

Raising public awareness about energy conservation during peak hours and promoting strategies to stay cool without overreliance on air conditioning are crucial steps towards mitigating electricity demand. Encouraging energy-efficient practices and investing in renewable energy sources also contribute to long-term resilience against climate-driven energy challenges.

Collaborative Efforts

Collaboration between government agencies, utilities, nonprofits, and community groups is essential in developing comprehensive strategies to safeguard vulnerable populations during heatwaves, especially when systems like the Texas power grid face renewed stress during prolonged heatwaves. By pooling resources and expertise, stakeholders can better coordinate emergency response efforts, distribute cooling centers, and ensure timely assistance to those in need.

Technology and Innovation

Advancements in smart grid technology and decentralized energy solutions offer promising avenues for enhancing grid resilience and minimizing disruptions during extreme weather events. These innovations enable more efficient energy management, demand response programs, and proactive monitoring of grid stability, though some utilities face summer supply-chain constraints that delay deployments.

Conclusion

As summer heatwaves become more frequent and severe, the risk of electricity shutoffs underscores the urgent need for proactive measures to protect vulnerable communities. By prioritizing equity, sustainability, and resilience in energy policy and practice, stakeholders can work towards ensuring reliable access to electricity, particularly during times of heightened climate vulnerability. Addressing these challenges requires collective action and a commitment to fostering inclusive and sustainable solutions that prioritize human well-being amid changing climate realities.

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Electrically Smart Roads integrate solar road surfaces, inductive charging, IoT sensors, AI analytics, and V2X to power lighting, deicing, and monitoring, reducing grid dependence while enabling dynamic EV charging and real-time traffic management.

Key Points

Electrically smart roads generate power, sense conditions, and charge EVs using solar, IoT, AI, and dynamic infrastructure.

✅ Solar surfaces, verges, and gantries generate on-site electricity

✅ Inductive lanes enable dynamic EV charging at highway speeds

✅ Embedded IoT sensors and AI deliver real-time traffic insights

As more and more capabilities are added to roads instead of simply covering a country with extra roads, they are starting to make their own electricity, notably as solar road surface but then with added silent wind turbines, photovoltaic verges and barriers and more.

That toll gate, street light and traffic monitoring system all need electricity. Later, roads that deice and charge vehicles at speed will need huge amounts of electricity. For now, electricity for road systems is provided by very expensive infrastructure to the grid, and grid flexibility for EVs remains a concern, except for a few solar/ wind street lights in China and Korea for example. However, as more and more capabilities are added to roads instead of simply covering a country with extra roads, they are starting to make their own electricity, notably as solar road surface but then with added silent wind turbines, photovoltaic verges and barriers and more. There is also highly speculative work in the USA and UK on garnering power from road surface movement using piezoelectrics and electrodynamics and even its heat. 

#google#

China plans to create an intelligent transport system by 2030. The country hopes to build smart roads that will not only be able to charge electric cars as they drive but also monitor temperature, traffic flow and weight load using artificial intelligence. Indeed, like France, the Netherlands and the USA, where U.S. EV charging capacity is under scrutiny, it already has trials of extended lengths of solar road which cost no more than regular roads. In an alternative approach, vehicles go under tunnels of solar panels that also support lighting, light-emitting signage and monitoring equipment using the electricity made where it is needed. See the IDTechEx Research report, Electrically Smart Roads 2018-2028 for more.

Raghu Das, CEO of IDTechEx says, "The spiral vertical axis wind turbines VAWT in Asia rarely rotate because they are too low but much higher versions are planned on large UK roadside vehicle charging centres that should work well. H shaped VAWT is also gaining traction - much slower and quieter than the propeller shape which vibrates and keeps you awake at night in an urban area.

The price gap between the ubiquitous polycrystalline silicon solar cell and the much more efficient single crystal silicon is narrowing. That means that road furniture such as bus shelters and smart gantries will likely go for more solar rather than adding wind power in many cases, a shift mirrored by connected solar tech in homes, because wind power needs a lot of maintenance and its price is not dropping as rapidly."

The IDTechEx Research report, Off Grid Electric Vehicle Charging: Zero Emission 2018-2028 analyses that aspect, while vehicle-to-grid strategies may complement grid resources. The prototype of a smart road is already in place on an expressway outside of Jinan, providing better traffic updates as well as more accurate mapping. Verizon's IoT division has launched a project around intelligent asphalt, which it thinks has the potential to significantly reduce fossil fuel emissions and save time by reducing up to 44% of traffic backups. It has partnered with Sacramento, California, to test this theory.

"By embedding sensors into the pavement as well as installing cameras on traffic lights, we will be able to study and analyze the flow of traffic. Then, we will take all of that data and use it to optimize the timing of lights so that traffic flows easier and travel times are shorter," explains Sean Harrington, vice president of Verizon Smart Communities.

Colorado's Department of Transportation has recently announced its intention to be the first state to pilot smart roads by striking a five-year deal with a smart road company to test the technology. Like planned auto-deicing roads elsewhere, the aim of this project is, first and foremost, to save lives. The technology will detect when a car suddenly leaves a road and send emergency assistance to the area. The IDTechEx Research report Electrically Smart Roads 2018-2028 describes how others work on real time structural monitoring of roads and embedded interactive lighting and road surface signage.

"Smart pavement can make that determination and send that information directly into a vehicle," Peter Kozinski, director of CDOT's RoadX division, tells the Denver Post. "Data is the new asphalt of transportation."   Sensors, processors and other technology are embedded in the Colorado road to extend capability beyond accidents and reach into better road maintenance. Fast adoption relies on the ability to rapidly install sensor-laden pavement or lay concrete slabs. Attention therefore turns to fast adaptation of existing roads. Indeed, even for the heavy coil arrays used for dynamic vehicle charging, even as state power grids face new challenges, in Israel there are machines that can retrofit into the road surface at a remarkable two kilometres of cut and insert in a day.

"It's hard to imagine that these things are inexpensive, with all the electronics in them," Charles Schwartz, a professor of civil and environmental engineering at the University of Maryland, tells the Denver Post concerning the vehicle sensing project, "but CDOT is a fairly sophisticated agency, and this is an interesting pilot project. We can learn a lot, even if the test is only partially successful."

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Hungary's Russian Energy Dependence underscores EU tensions, as TurkStream gas flows, discounted imports, and pipeline reliance challenge sanctions, energy security, diversification, and decoupling goals amid Ukraine war pressures and bloc unity concerns.

Key Points

It is Hungary's reliance on Russian gas and oil via TurkStream, complicating EU sanctions and energy independence.

✅ 85% gas, 60% oil imports from Russia via TurkStream pipelines.

✅ Discounted contracts seldom cut bills; security cited by Budapest.

✅ EU decoupling targets hampered; sanctions leverage and unity erode.

Hungary's energy policies have positioned it as a notable outlier within the European Union, particularly in the context of the ongoing geopolitical tensions stemming from Russia's invasion of Ukraine. While the EU has been actively working to reduce its dependence on Russian energy sources through an EU $300 billion plan to dump Russian energy, Hungary has maintained and even strengthened its energy ties with Moscow, raising concerns about EU unity and the effectiveness of sanctions.

Strategic Energy Dependence

Hungary's energy infrastructure is heavily reliant on Russian supplies. Approximately 85% of Hungary's natural gas and more than 60% of its oil imports originate from Russia. This dependence is facilitated through pipelines such as TurkStream, which delivers Russian gas to Hungary via Turkey and the Balkans amid Europe's energy nightmare over price volatility and security. In 2025, Hungary's gas imports through TurkStream are projected to reach 8 billion cubic meters, a significant increase from previous years. These imports are often secured at discounted rates, although such savings may not always be passed on to Hungarian consumers.

Political and Economic Considerations

Prime Minister Viktor Orbán has been a vocal critic of EU sanctions against Russia and has consistently blocked EU initiatives aimed at providing military aid to Ukraine, even as Ukraine leans on power imports to keep the lights on. His government argues that Russia's military capabilities make it an unyielding adversary and that a ceasefire would only solidify its territorial gains. Orbán's stance has led to Hungary's isolation within the EU on matters related to the conflict in Ukraine.

Economically, Hungary's reliance on Russian energy has been justified by the government as a means to maintain low energy prices for consumers and ensure energy security. However, critics argue that this strategy undermines EU efforts to achieve energy independence and reduces the bloc's leverage over Russia amid a global energy war marked by price hikes and instability.

EU's Response and Challenges

The European Union has set ambitious goals to reduce its reliance on Russian energy, aiming to halt imports of Russian natural gas by the end of 2027 and prohibit new contracts starting in 2025 while exploring gas price cap strategies to contain market volatility. However, Hungary's continued imports of Russian energy complicate these efforts. The TurkStream pipeline, in particular, has become a focal point in discussions about the EU's energy strategy, as it enables ongoing Russian gas exports to Europe despite the bloc's broader decoupling initiatives.

Hungary's actions have raised concerns among other EU member states about the effectiveness of the sanctions regime and the potential for other countries to exploit similar loopholes. There are calls for stricter policies, including banning spot gas purchases and enforcing traceability of gas origins, and consideration of emergency measures to limit electricity prices to ensure genuine energy independence and reduce overreliance on external suppliers.

Hungary's steadfast energy relationship with Russia presents a significant challenge to the European Union's collective efforts to reduce dependence on Russian energy sources. While Hungary argues that its energy strategy is in the national interest, it risks undermining EU solidarity and the bloc's broader geopolitical objectives. As the EU continues to navigate its energy transition and response to the ongoing conflict in Ukraine, including energy ceasefire violations reported by both sides, Hungary's position will remain a critical point of contention within the union.

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Near-Field Thermophotovoltaics captures radiated energy across a nanoscale gap, using thin-film photovoltaic cells and indium gallium arsenide to boost power density and efficiency, enabling compact Army portable power from emitters via radiative heat transfer.

Key Points

A nanoscale TPV method capturing near-field photons for higher power density at lower emitter temperatures.

✅ Nanoscale gap boosts radiative transfer and usable photon flux

✅ Thin-film InGaAs cells recycle sub-band-gap photons via reflector

✅ Achieved ~5 kW/m2 power density with higher efficiency

With the addition of sensors and enhanced communication tools, providing lightweight, portable power has become even more challenging, with concepts such as power from falling snow illustrating how diverse new energy-harvesting approaches are. Army-funded research demonstrated a new approach to turning thermal energy into electricity that could provide compact and efficient power for Soldiers on future battlefields.

Hot objects radiate light in the form of photons into their surroundings. The emitted photons can be captured by a photovoltaic cell and converted to useful electric energy. This approach to energy conversion is called far-field thermophotovoltaics, or FF-TPVs, and has been under development for many years; however, it suffers from low power density and therefore requires high operating temperatures of the emitter.

The research, conducted at the University of Michigan and published in Nature Communications, demonstrates a new approach, where the separation between the emitter and the photovoltaic cell is reduced to the nanoscale, enabling much greater power output than what is possible with FF-TPVs for the same emitter temperature.

This approach, which enables capture of energy that is otherwise trapped in the near-field of the emitter is called near-field thermophotovoltaics or NF-TPV and uses custom-built photovoltaic cells and emitter designs ideal for near-field operating conditions, alongside emerging smart solar inverters that help manage conversion and delivery.

This technique exhibited a power density almost an order of magnitude higher than that for the best-reported near-field-TPV systems, while also operating at six-times higher efficiency, paving the way for future near-field-TPV applications, including remote microgrid deployments in extreme environments, according to Dr. Edgar Meyhofer, professor of mechanical engineering, University of Michigan.

"The Army uses large amounts of power during deployments and battlefield operations and must be carried by the Soldier or a weight constrained system," said Dr. Mike Waits, U.S. Army Combat Capabilities Development Command's Army Research Laboratory. "If successful, in the future near-field-TPVs could serve as more compact and higher efficiency power sources for Soldiers as these devices can function at lower operating temperatures than conventional TPVs."

The efficiency of a TPV device is characterized by how much of the total energy transfer between the emitter and the photovoltaic cell is used to excite the electron-hole pairs in the photovoltaic cell, where insights from near-light-speed conduction research help contextualize performance limits in semiconductors. While increasing the temperature of the emitter increases the number of photons above the band-gap of the cell, the number of sub band-gap photons that can heat up the photovoltaic cell need to be minimized.

"This was achieved by fabricating thin-film TPV cells with ultra-flat surfaces, and with a metal back reflector," said Dr. Stephen Forrest, professor of electrical and computer engineering, University of Michigan. "The photons above the band-gap of the cell are efficiently absorbed in the micron-thick semiconductor, while those below the band-gap are reflected back to the silicon emitter and recycled."

The team grew thin-film indium gallium arsenide photovoltaic cells on thick semiconductor substrates, and then peeled off the very thin semiconductor active region of the cell and transferred it to a silicon substrate, informing potential interfaces with home battery systems for distributed use.

All these innovations in device design and experimental approach resulted in a novel near-field TPV system that could complement distributed resources in virtual power plants for resilient operations.

"The team has achieved a record ~5 kW/m2 power output, which is an order of magnitude larger than systems previously reported in the literature," said Dr. Pramod Reddy, professor of mechanical engineering, University of Michigan.

Researchers also performed state-of-the-art theoretical calculations to estimate the performance of the photovoltaic cell at each temperature and gap size, informing hybrid designs with backup fuel cell solutions that extend battery life, and showed good agreement between the experiments and computational predictions.

"This current demonstration meets theoretical predictions of radiative heat transfer at the nanoscale, and directly shows the potential for developing future near-field TPV devices for Army applications in power and energy, communication and sensors," said Dr. Pani Varanasi, program manager, DEVCOM ARL that funded this work.

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EV Firefighter Cancer Risks: lithium-ion battery fires, toxic metals like nickel and chromium, hazardous smoke plumes, and prolonged exposure threaten first responders; SCBA use, decontamination, and evidence-based protocols help reduce occupational health impacts.

Key Points

Health hazards from EV battery fires exposing responders to toxic metals and smoke, elevating long-term cancer risk.

✅ Nickel and chromium in EV smoke linked to lung and sinus cancers

✅ Use SCBA, on-scene decon, and post-incident cleaning to cut exposure

✅ Adopt EV fire SOPs: cooling, monitoring, isolation, air monitoring

As electric vehicles (EVs) become more popular, the EV fire risks to firefighters are becoming an increasing concern. These fires, fueled by the high-capacity lithium-ion batteries in EVs, produce dangerous chemical exposures that could have serious long-term health implications for first responders.

Claudine Buzzo, a firefighter and cancer survivor, knows firsthand the dangers that come with the profession. She’s faced personal health battles, including rare pancreatic cancer and breast cancer, both of which she attributes to the hazards of firefighting. Now, as EV adoption increases and some research links adoption to fewer asthma-related ER visits in local communities, Buzzo and her colleagues are concerned about how EV fires might add to their already heavy exposure to harmful chemicals.

The fire risks associated with EVs are different from those of traditional gasoline-powered vehicles. Dr. Alberto Caban-Martinez, who is leading a study at the Sylvester Comprehensive Cancer Center, explains that the high concentrations of metals released in the smoke from an EV fire are linked to various cancers. For instance, nickel, a key component in EV batteries, is associated with lung, nasal, and laryngeal cancers, while chromium, another metal found in some EV batteries, is linked to lung and sinus cancers.

Research from the Firefighter Cancer Initiative indicates that the plume of smoke from an EV fire contains significantly higher concentrations of these metals than fires from traditional vehicles. This raises the risk of long-term health problems for firefighters who respond to such incidents.

While the Electric Vehicle Association acknowledges the risks associated with various types of vehicle fires, they maintain that the lithium-ion batteries in EVs may not present a significantly higher risk than other common fire hazards, even as broader assessments suggest EVs are not a silver bullet for climate goals. Nonetheless, the growing body of research is causing concern among health experts, urging for further studies into how these new types of fires could affect firefighter health and how upstream electricity generation, where 18% of electricity in 2019 came from fossil fuels in Canada, factors into overall risk perceptions.

Fire departments and health researchers are working to understand the full scope of these risks and are emphasizing the importance of protective gear, such as self-contained breathing apparatuses, to minimize exposure during EV fire responses, while also considering questions like grid impacts during charging operations and EV sustainability improvements in different regions.

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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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