Restoring power to Florida will take 'weeks, not days' in some areas

IAEA Nuclear Reactor Simulators enable virtual nuclear power plant training on IPWR/PWR systems, load-following operations, baseload dynamics, and turbine coupling, supporting advanced reactor education, flexible grid integration, and low-carbon electricity skills development during remote learning.

Key Points

IAEA Nuclear Reactor Simulators are tools for training on reactor operations, safety, and flexible power management.

✅ Simulates IPWR/PWR systems with real-time parameter visualization.

✅ Practices load-following, baseload, and grid flexibility scenarios.

✅ Supports remote training on safety, controls, and turbine coupling.

Students and professionals in the nuclear field are making use of learning opportunities during lockdown made necessary by the Covid-19 pandemic, drawing on IAEA low-carbon electricity lessons for the future.

Requests to use the International Atomic Energy Agency’s (IAEA’s) basic principle nuclear reactor simulators have risen sharply in recent weeks, IAEA said on 1 May, as India takes steps to get nuclear back on track. New users will have the opportunity to learn more about operating them.

“This suite of nuclear power plant simulators is part of the IAEA education and training programmes on technology development of advanced reactors worldwide. [It] can be accessed upon request by interested parties from around the world,” said Stefano Monti, head of the IAEA’s Nuclear Power Technology Development Section.

Simulators include several features to help users understand fundamental concepts behind the behaviour of nuclear plants and their reactors. They also provide an overview of how various plant systems and components work to power turbines and produce low-carbon electricity, while illustrating roles beyond electricity as well.

In the integral pressurised water reactor (IPWR) simulator, for instance, a type of advanced nuclear power design, users can navigate through several screens, each containing information allowing them to adjust certain variables. One provides a summary of reactor parameters such as primary pressure, flow and temperature. Another view lays out the status of the reactor core.

The “Systems” screen provides a visual overview of how the plant’s main systems, including the reactor and turbines, work together. On the “Controls” screen, users can adjust values which affect reactor performance and power output.

This simulator provides insight into how the IPWR works, and also allows users to see how the changes they make to plant variables alter the plant’s operation. Operators can also perform manoeuvres similar to those that would take place in the course of real plant operations e.g. in load following mode.

“Currently, most nuclear plants operate in ‘baseload’ mode, continually generating electricity at their maximum capacity. However, there is a trend of countries, aligned with green industrial revolution strategies, moving toward hybrid energy systems which incorporate nuclear together with a diverse mix of renewable energy sources. A greater need for flexible operations is emerging, and many advanced power plants offer standard features for load following,” said Gerardo Martinez-Guridi, an IAEA nuclear engineer who specialises in water-cooled reactor technology.

Prospective nuclear engineers need to understand the dynamics of the consequences of reducing a reactor’s power output, for example, especially in the context of next-generation nuclear systems and emerging grids, and simulators can help students visualise these processes, he noted.

“Many reactor variables change when the power output is adjusted, and it is useful to see how this occurs in real-time,” said Chirayu Batra, an IAEA nuclear engineer, who will lead the webinar on 12 May.

“Users will know that the operation is complete once the various parameters have stabilised at their new values.”

Observing and comparing the parameter changes helps users know what to expect during a real power manoeuvre, he added.

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Hourly Electricity Emissions Tracking maps grid balancing areas, embodied emissions, and imports/exports, revealing carbon intensity shifts across PJM, ERCOT, and California ISO, and clarifying renewable energy versus coal impacts on health and climate.

Key Points

An hourly method tracing generation, flows, and embodied emissions to quantify carbon intensity across US balancing areas.

✅ Hourly traces of imports/exports and generation mix

✅ Consumption-based carbon intensity by balancing area

✅ Policy insights for renewables, coal, health costs

In the United States, electricity generation accounts for nearly 30% of our carbon emissions. Some states have responded to that by setting aggressive renewable energy standards; others are hoping to see coal propped up even as its economics get worse. Complicating matters further is the fact that many regional grids are integrated, and as America goes electric the stakes grow, meaning power generated in one location may be exported and used in a different state entirely.

Tracking these electricity exports is critical for understanding how to lower our national carbon emissions. In addition, power from a dirty source like coal has health and environment impacts where it's produced, and the costs of these aren't always paid by the parties using the electricity. Unfortunately, getting reliable figures on how electricity is produced and where it's used is challenging, even for consumers trying to find where their electricity comes from in the first place, leaving some of the best estimates with a time resolution of only a month.

Now, three Stanford researchers—Jacques A. de Chalendar, John Taggart, and Sally M. Benson—have greatly improved on that standard, and they have managed to track power generation and use on an hourly basis. The researchers found that, of the 66 grid balancing areas within the United States, only three have carbon emissions equivalent to our national average, and they have found that imports and exports of electricity have both seasonal and daily changes. de Chalendar et al. discovered that the net results can be substantial, with imported electricity increasing California's emissions/power by 20%.

Hour by hour
To figure out the US energy trading landscape, the researchers obtained 2016 data for grid features called balancing areas. The continental US has 66 of these, providing much better spatial resolution on the data than the larger grid subdivisions. This doesn't cover everything—several balancing areas in Canada and Mexico are tied in to the US grid—and some of these balancing areas are much larger than others. The PJM grid, serving Pennsylvania, New Jersey, and Maryland, for example, is more than twice as large as Texas' ERCOT, in a state that produces and consumes the most electricity in the US.

Despite these limitations, it's possible to get hourly figures on how much electricity was generated, what was used to produce it, and whether it was used locally or exported to another balancing area. Information on the generating sources allowed the researchers to attach an emissions figure to each unit of electricity produced. Coal, for example, produces double the emissions of natural gas, which in turn produces more than an order of magnitude more carbon dioxide than the manufacturing of solar, wind, or hydro facilities. These figures were turned into what the authors call "embodied emissions" that can be traced to where they're eventually used.

Similar figures were also generated for sulfur dioxide and nitrogen oxides. Released by the burning of fossil fuels, these can both influence the global climate and produce local health problems.

Huge variation
The results were striking. "The consumption-based carbon intensity of electricity varies by almost an order of magnitude across the different regions in the US electricity system," the authors conclude. The low is the Bonneville Power grid region, which is largely supplied by hydropower; it has typical emissions below 100kg of carbon dioxide per megawatt-hour. The highest emissions come in the Ohio Valley Electric region, where emissions clear 900kg/MW-hr. Only three regional grids match the overall grid emissions intensity, although that includes the very large PJM (where capacity auction payouts recently fell), ERCOT, and Southern Co balancing areas.

Most of the low-emissions power that's exported comes from the Pacific Northwest's abundant hydropower, while the Rocky Mountains area exports electricity with the highest associated emissions. That leads to some striking asymmetries. Local generation in the hydro-rich Idaho Power Company has embodied emissions of only 71kg/MW-hr, while its imports, coming primarily from Rocky Mountain states, have a carbon content of 625kg/MW-hr.

The reliance on hydropower also makes the asymmetry seasonal. Local generation is highest in the spring as snow melts, but imports become a larger source outside this time of year. As solar and wind can also have pronounced seasonal shifts, similar changes will likely be seen as these become larger contributors to many of these regional grids. Similar things occur daily, as both demand and solar production (and, to a lesser extent, wind) have distinct daily profiles.

The Golden State
California's CISO provides another instructive case. Imports represent less than 30% of its total electric use in 2016, yet California electricity imports provided 40% of its embodied emissions. Some of these, however, come internally from California, provided by the Los Angeles Department of Water and Power. The state itself, however, has only had limited tracking of imported emissions, lumping many of its sources as "other," and has been exporting its energy policies to Western states in ways that shape regional markets.

Overall, the 2016 inventory provides a narrow picture of the US grid, as plenty of trends are rapidly changing our country's emissions profile, including the rise of renewables and the widespread adoption of efficiency measures and other utility trends in 2017 that continue to evolve. The method developed here can, however, allow for annual updates, providing us with a much better picture of trends. That could be quite valuable to track things like how the rapid rise in solar power is altering the daily production of clean power.

More significantly, it provides a basis for more informed policymaking. States that wish to promote low-emissions power can use the information here to either alter the source of their imports or to encourage the sites where they're produced to adopt more renewable power. And those states that are exporting electricity produced primarily through fossil fuels could ensure that the locations where the power is used pay a price that includes the health costs of its production.

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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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Hinkley Point C Reactor Installation signals UK energy security, nuclear power expansion, and low-carbon baseload, featuring EPR technology in Somerset to cut emissions, support net-zero goals, and deliver reliable electricity for homes and businesses.

Key Points

First EPR unit fitted at Hinkley Point C, boosting low-carbon baseload, grid reliability, and UK energy security.

✅ Generates 3.2 GW across two EPRs for 7% of UK electricity.

✅ Provides low-carbon baseload to complement wind and solar.

✅ Creates jobs and strengthens supply chains during construction.

The United Kingdom has made a significant stride toward securing its energy future with the installation of the first reactor at its newest nuclear power station. This development marks an important milestone in the nation’s efforts to combat climate change, reduce carbon emissions, and ensure a stable and sustainable energy supply. As the world moves towards greener alternatives to fossil fuels, nuclear power remains a key part of the UK's green industrial revolution and low-carbon energy strategy.

The new power station, located at Hinkley Point C in Somerset, is set to be one of the most advanced nuclear facilities in the country. The installation of its reactor represents a crucial step in the construction of the plant, with earlier milestones like the reactor roof lifted into place underscoring steady progress, which is expected to provide reliable, low-carbon electricity for millions of homes and businesses across the UK. The completion of the first reactor is seen as a pivotal moment in the journey to bring the station online, with the second reactor expected to follow shortly after.

A Historic Milestone

Hinkley Point C will be the UK’s first nuclear power station built in over two decades. The plant, once fully operational, will play a key role in the country's energy transition. The reactors at Hinkley Point C are designed to be state-of-the-art, using advanced technology that is both safer and more efficient than older nuclear reactors. Each of the two reactors will have the capacity to generate 1.6 gigawatts of electricity, enough to power approximately six million homes. Together, they will contribute about 7% of the UK’s electricity needs, providing a steady, reliable source of energy even during periods of high demand.

The installation of the first reactor at Hinkley Point C is not just a technical achievement; it is also symbolic of the UK’s commitment to energy security and its goal to achieve net-zero carbon emissions by 2050, a target that industry leaders say multiple new stations will be needed to meet effectively. Nuclear power is a crucial part of this equation, as it provides a stable, baseload source of energy that does not rely on weather conditions, unlike wind or solar power.

Boosting the UK’s Energy Capacity

The addition of Hinkley Point C to the UK’s energy infrastructure is expected to significantly boost the country’s energy capacity and reduce its reliance on fossil fuels. The UK government has been focused on increasing the share of renewable energy in its mix, and nuclear power is seen as an essential complement to intermittent renewable sources, especially as wind and solar have surpassed nuclear in generation at times. Nuclear energy is considered a low-carbon, reliable energy source that can fill the gaps when renewable generation is insufficient, such as on cloudy or calm days when solar and wind energy output may be low.

With the aging of the UK’s existing nuclear fleet and the gradual phase-out of coal-fired power plants, Hinkley Point C will help ensure that the country does not face an energy shortage as it transitions to cleaner energy sources. The plant will help to bridge the gap between the current energy infrastructure and the future, enabling the UK to phase out coal while maintaining a steady, low-carbon energy supply.

Safety and Technological Innovation

The reactors at Hinkley Point C are being constructed using the latest in nuclear technology. They are based on the European Pressurized Reactor (EPR) design, which is known for its enhanced safety features and efficiency, and has been deployed in projects within China's nuclear program as well, making it a proven platform. These reactors are designed to withstand extreme conditions, including earthquakes and flooding, making them highly resilient. Additionally, the EPR technology ensures that the reactors have a low environmental impact, producing minimal waste and offering the potential for increased sustainability compared to older reactor designs.

One of the key innovations in the Hinkley Point C reactors is their advanced cooling system, which is designed to be more efficient and environmentally friendly than previous generations. This system ensures that the reactors operate at optimal temperatures while minimizing the environmental footprint of the plant.

Economic and Job Creation Benefits

The construction of Hinkley Point C has already provided a significant boost to the local economy. Thousands of jobs have been created, not only in the construction phase but also in the ongoing operation and maintenance of the facility. The plant is expected to create more than 25,000 jobs during its construction and around 900 permanent jobs once it is operational.

The project is also expected to have a positive impact on the wider UK economy. As a major infrastructure project, Hinkley Point C will provide long-term economic benefits, including boosting supply chains and providing opportunities for local businesses.

Challenges and the Road Ahead

Despite the progress, the construction of Hinkley Point C has not been without its challenges. The project has faced delays and cost overruns, with setbacks at Hinkley Point C documented by industry observers, and the total estimated cost now standing at around £22 billion. However, the successful installation of the first reactor is a step toward overcoming these hurdles and completing the project on schedule.

Looking ahead, Hinkley Point C’s successful operation could pave the way for future nuclear developments in the UK, including next-gen nuclear designs that aim to be smaller, cheaper, and safer. As the world grapples with the pressing need to reduce greenhouse gas emissions, nuclear energy may play an even more critical role in ensuring a clean, reliable energy future.

The installation of the first reactor at Hinkley Point C marks a crucial moment in the UK’s energy journey. As the country seeks to meet its carbon reduction targets and bolster its energy security, the new nuclear power station will be a cornerstone of its efforts. With its advanced technology, safety features, and potential to provide low-carbon energy for decades to come, Hinkley Point C offers a glimpse into the future of energy production in the UK and beyond.

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Hitachi UK Nuclear Project Freeze reflects Horizon Nuclear Power's suspended Anglesey plant amid Brexit uncertainty, investor funding gaps, rising safety regulation costs, and a 300 billion yen write-down, impacting Britain's low-carbon electricity plans.

Key Points

Hitachi halted Horizon's Anglesey nuclear plant over funding and Brexit risks, recording a 300 billion yen write-down.

✅ 3 trillion yen UK nuclear project funding stalled

✅ 300 billion yen impairment wipes Horizon asset value

✅ Brexit, safety rules raised costs and investor risk

Japan’s Hitachi Ltd said on Thursday it has decided to freeze a 3 trillion yen ($28 billion) British nuclear power project and will consequently book a write down of 300 billion yen.

The suspension comes as Hitachi’s Horizon Nuclear Power failed to find private investors for its plans to build a plant in Anglesey, Wales, where local economic concerns have been raised, which promised to provide about 6 percent of Britain’s electricity.

“We’ve made the decision to freeze the project from the economic standpoint as a private company,” Hitachi said in a statement.

Hitachi had called on the British government to boost financial support for the project to appease investor anxiety, but turmoil over the country’s impending exit from the European Union limited the government’s capacity to compile plans, people close to the matter previously said.

Hitachi had called on the British government to boost financial support for the project to appease investor anxiety, but turmoil over the country’s impending exit from the European Union and setbacks at Hinkley Point C limited the government’s capacity to compile plans, people close to the matter previously said.

Hitachi had banked on a group of Japanese investors and the British government each taking a one-third stake in the equity portion of the project, the people said. The project would be financed one-third by equity and rest by debt.

The nuclear writedown wipes off the Horizon unit’s asset value, which stood at 296 billion yen as of September-end.

Hitachi stopped short of scrapping the northern Wales project. The company will continue to discuss with the British government on nuclear power, it said.

However, industry sources said hurdles to proceed with the project are high considering tighter safety regulations since a meltdown at Japan’s Fukushima nuclear power plant in 2011 drove up costs, even as Europe’s nuclear decline strains energy planning.

Analysts and investors viewed the suspension as an effective withdrawal and saw the decision as a positive step that has removed uncertainties for the Japanese conglomerate.

Hitachi bought Horizon in 2012 for 696 million pounds ($1.12 billion), fromE.ON and RWE as the German utilities decided to sell their joint venture following Germany’s nuclear exit after the Fukushima accident.

Hitachi’s latest decision further dims Japan’s export prospects, even as some peers pursue UK offshore wind investments to diversify.

Toshiba Corp last year scrapped its British NuGen project after its US reactor unit Westinghouse went bankrupt, while Westinghouse in China reported no major impact, and it failed to sell NuGen to South Korea’s KEPCO.

Mitsubishi Heavy Industries Ltd has effectively abandoned its Sinop nuclear project in Turkey, a person involved in the project previously told Reuters, as cost estimates had nearly doubled to around 5 trillion yen.

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Spring Storm Grid Risks highlight tornado outbreaks, flooding, power outages, and transmission disruptions, with NOAA flood outlooks, coal and barge delays, vulnerable nuclear sites, and distribution line damage demanding resilience, reliability, and emergency preparedness.

Key Points

Spring Storm Grid Risks show how tornadoes and floods disrupt power systems, fuel transport, and plants guide resilience.

✅ Tornado outbreaks and derechos damage distribution and transmission

✅ Flooding drives outages via treefall, substation and plant inundation

✅ Fuel logistics disrupted: rail coal, river barges, road access

The storm and tornado outbreak that recently barreled through the US Midwest, South and Mid-Atlantic was a devastating reminder of how much danger spring can deliver, despite it being the “milder” season compared to summer and winter.  

Danger season is approaching, and the country is starting to see the impacts. 

The event killed at least 32 people across seven states. The National Weather Service is still tallying up the number of confirmed tornadoes, which has already passed 100. Communities coping with tragedy are assessing the damage, which so far includes at least 72 destroyed homes in one Tennessee county alone, and dozens more homes elsewhere. 

On Saturday, April 1–the day after the storm struck–there were 1.1 million US utility customers without power, even as EIA reported a January power generation surge earlier in the year. On Monday morning, April 3, there were still more than 80,000 customers in the dark, according to PowerOutage.us. The storm system brought disruptions to both distribution grids–those networks of local power lines you generally see running overhead to buildings–as well as the larger transmission grid in the Midwest, which is far less common than distribution-level issues. 

While we don’t yet have a lot of granular details about this latest storm’s grid impacts, recent shifts in demand like New York City's pandemic power patterns show how operating conditions evolve, and it’s worth going through what else the country might be in for this spring, as well as in future springs. Moreover, there are steps policymakers can take to prepare for these spring weather phenomena and bolster the reliability and resilience of the US power system. 

Heightened flood risk 
The National Oceanic Atmospheric Administration (NOAA) said in a recent outlook that about 44 percent of the United States is at risk of floods this spring, equating to about 146 million people. This includes most of the eastern half of the country, the federal agency said. 

The agency also sees “major” flood risk potential in some parts of the Upper Mississippi River Basin, and relatively higher risk in the Sierra Nevada region, due in part to a historic snowpack in California.  

Multiple components of the power system can be affected by spring floods. 

Power lines – Floods can saturate soil and make trees more likely to uproot and fall onto power lines. This has been contributing to power outages during California’s recent heavy storms–called atmospheric rivers–that started over the winter. In other regions, soil moisture has even been used as a predictor of where power outages will occur due to hurricanes, so that utility companies are better prepared to send line repair crews to the right areas. Hurricanes are primarily a summer and fall phenomenon, and summer also brings grid stress from air conditioning demand in many states, so for now, during spring, they are less of a concern.  

Fuel transport – Spring floods can hinder the transportation of fuels like coal. While it is a heavily polluting fossil fuel that is set to continue declining as a fuel source for US electricity generation, with the EIA summer outlook for wind and solar pointing to further shifts, coal still accounted for roughly 20 percent of the country’s generation in 2022.   

About 70 percent of US coal is transported at least part of the way by trains. The rail infrastructure to transport coal from the Powder River Basin in Montana and Wyoming–the country’s primary coal source–was proven to be vulnerable to extreme floods in the spring of 2011, and even more extreme floods in the spring of 2019. The 2019 floods’ disruptions of coal shipments to power plants via rail persisted for months and into the summertime, also affecting river shipments of coal by barge. In June 2019, hundreds of barges were stalled in the Mississippi River, through which millions of tons of the fossil fuel are normally transported. 

Power plants – Power plants themselves can also be at risk of flooding, since most of them are sited near a source of water that is used to create steam to spin the plants’ turbines, and conversely, low water levels can constrain hydropower as seen in Western Canada hydropower drought during recent reservoir shortfalls. Most US fossil fuel generating capacity from sources like methane gas, which recently set natural gas power records across the grid, and coal utilizes steam to generate electricity. 

However, much of the attention paid to the flood risk of power plant sites has centered on nuclear plants, a key source of low-carbon electricity discussed in IAEA low-carbon electricity lessons that also require a water source for the creation of steam, as well as for keeping the plant cool in an emergency. To name a notable flood example here in the United States–both visually and substantively–in 2011, the Fort Calhoun nuclear plant in Nebraska was completely surrounded by water due to late-spring flooding along the Missouri River. This sparked a lot of concerns because it was just a few months after the March 2011 meltdown of the Fukushima Daiichi nuclear plant in Japan. The public was thankfully not harmed by the Nebraska incident, but this was unfortunately not an isolated incident in terms of flood risks posed to the US nuclear power fleet. 

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