A Rural Household Heating Method
that Combines a Regenerative Electric Boiler
with PV Power Generation

Zhang, Caiqing; Gao, Guoshuai

doi:10.15244/pjoes/95182

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…By integrating a photovoltaic-electric boiler heating system, Chen et al ( 2022b ) achieved a 58.9% cost saving in life cycle specific ambient heating costs ($2.77/kWh). To replace bulk coal and achieve clean rural domestic heating, Zhang and Gao ( 2019 ) combined distributed photovoltaic with a thermal storage electric boiler to generate electricity for rural heating in Beijing. They found that rooftop photovoltaic heat generation can meet the requirements of the electric thermal storage boiler, saving 3.596 tons of greenhouse gas emissions per year and $825.477 in environmental management costs.…”

Section: Green Solutions For Home Heatingmentioning

confidence: 99%

Strategies to save energy in the context of the energy crisis: a review

et al. 2023

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New technologies, systems, societal organization and policies for energy saving are urgently needed in the context of accelerated climate change, the Ukraine conflict and the past coronavirus disease 2019 pandemic. For instance, concerns about market and policy responses that could lead to new lock-ins, such as investing in liquefied natural gas infrastructure and using all available fossil fuels to compensate for Russian gas supply cuts, may hinder decarbonization efforts. Here we review energy-saving solutions with a focus on the actual energy crisis, green alternatives to fossil fuel heating, energy saving in buildings and transportation, artificial intelligence for sustainable energy, and implications for the environment and society. Green alternatives include biomass boilers and stoves, hybrid heat pumps, geothermal heating, solar thermal systems, solar photovoltaics systems into electric boilers, compressed natural gas and hydrogen. We also detail case studies in Germany which is planning a 100% renewable energy switch by 2050 and developing the storage of compressed air in China, with emphasis on technical and economic aspects. The global energy consumption in 2020 was 30.01% for the industry, 26.18% for transport, and 22.08% for residential sectors. 10–40% of energy consumption can be reduced using renewable energy sources, passive design strategies, smart grid analytics, energy-efficient building systems, and intelligent energy monitoring. Electric vehicles offer the highest cost-per-kilometer reduction of 75% and the lowest energy loss of 33%, yet battery-related issues, cost, and weight are challenging. 5–30% of energy can be saved using automated and networked vehicles. Artificial intelligence shows a huge potential in energy saving by improving weather forecasting and machine maintenance and enabling connectivity across homes, workplaces, and transportation. For instance, 18.97–42.60% of energy consumption can be reduced in buildings through deep neural networking. In the electricity sector, artificial intelligence can automate power generation, distribution, and transmission operations, balance the grid without human intervention, enable lightning-speed trading and arbitrage decisions at scale, and eliminate the need for manual adjustments by end-users.

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Section: Green Solutions For Home Heatingmentioning

confidence: 99%

Strategies to save energy in the context of the energy crisis: a review

et al. 2023

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“…In order to solve the problem of replacing electricity with coal in rural areas of the Beijing, Tianjin and Hebei region in China, individuals used distributed photovoltaic power generation to alleviate this problem, and analyzed a typical case of a family in a rural area. Through economic benefits analysis, it is found that this method not only reduces the cost of heating, but also produces good environmental benefits [19].…”

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confidence: 99%