Author(s)

Wenkai Jia ¹, Yinlong Yang ¹, Liangzhou Tian ¹

Affiliation(s)

¹ Department of Mechanical Engineering, Shanxi Institute of Technology, Yangquan, Shanxi, China

Corresponding Author

Wenkai Jia

ABSTRACT

Solar thermal power generation is an advanced and environmentally friendly clean energy technology of the 21st century. It harnesses solar energy to produce electricity by concentrating sunlight to create high-temperature environments, converting this heat energy into usable thermal energy, and then transforming it into electrical energy. This makes it suitable for meeting basic electricity needs, especially in the context of renewable energy integration and energy storage. However, solar tower power plants also face several challenges, including high construction and maintenance costs, dependence on geographical location and weather conditions, and energy storage issues. Additionally, they often require extensive land use and cannot generate power continuously during cloudy conditions or at night. This paper delves into discussions and research on how to address these two aspects of the problem, leveraging the power of mathematical modeling for practical problem solving.

KEYWORDS

Cutoff Efficiency, Cosine Efficiency, Analytic Hierarchy Process, Genetic Algorithm, Simulated Annealing Algorithm

CITE THIS PAPER

Wenkai Jia, Yinlong Yang, Liangzhou Tian, Optimization Design of a Solar Mirror Field Based on an Optimization Model. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 51-58. DOI: http://dx.doi.org/10.23977/jeeem.2023.060507.

REFERENCES

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