Analytical performance and economic evaluation of residential wind or wind and solar powered heating systems

Darkazalli, G.; McGowan, J.G.

doi:10.1016/0038-092x(78)90174-3

Cited by 4 publications

(2 citation statements)

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“…The study about the comprehensive benefits mainly includes the analysis of economic benefits, environmental benefits, and social benefits of electric heating. Darkazalli et al (1978) studied the performance and cost of wind power heating system, and thought that the system was competitive. 24 Yang Jianshe (2012) briefly described the value and foreground of wind power heating, and points out that wind power heating is still a high cost means from the perspective of economy.…”

Section: Literature Surveymentioning

confidence: 99%

“…Darkazalli et al (1978) studied the performance and cost of wind power heating system, and thought that the system was competitive. 24 Yang Jianshe (2012) briefly described the value and foreground of wind power heating, and points out that wind power heating is still a high cost means from the perspective of economy. 25 Jaber et al (2008) evaluated the cost-effectiveness of different types of heating systems, and concluded that wind power heating systems have the best benefits.…”

Section: Literature Surveymentioning

confidence: 99%

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Study on development potential of newly added wind power heating in Beijing–Tianjin—Hebei under carbon emission reduction

Qiao

2021

Greenhouse Gases

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Electric heating is helpful in resolving air pollution, and also utilizes renewable energy power. However, the environmental benefits of electric heating are restrained by regional resources endowment and regional electrical energy structure. In the context of the active promotion of electric heating in Beijing-Tianjin-Hebei, the paper studied the development potential and limits of wind power electric heating under the constraints of environmental effects to provide reference for the orderly development of electric heating. A model to predict the capacity of the installed wind power improved by the fruit fly optimized ELM (Extreme Learning Machine) algorithm and an electric heating environment effect calculation model are constructed. The optimal value and critical value of the newly added heating area in Beijing-Tianjin-Hebei are obtained through calculation under four scenarios of wind abandonment rate. As the wind abandonment rate increases from 4-10% (with interval of 2%), the optimal value of the newly added electric heating area in Beijing-Tianjin-Hebei will be 19. 15, 29.47, 36.26, and 47.90 million m 2 by the year 2030. Additionally, as the utilization rate of thermal power exceeds 41.16%, electric heating will produce more carbon emissions compared to coal-fired heating. Therefore, if we want to develop electric heating on a large scale, we need to control the proportion of thermal power in the power supply structure and increase the proportion of new energy. This study can be used as theoretical reference to the development programme of electric energy substitution in the future.

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Section: Literature Surveymentioning

confidence: 99%