
Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions
Author(s) -
Wang Jianxing,
Duan Liqiang,
Yang Yongping,
Pang Liping,
Yang Laishun
Publication year - 2019
Publication title -
energy science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 29
ISSN - 2050-0505
DOI - 10.1002/ese3.280
Subject(s) - heliostat , sorting , multi objective optimization , electricity generation , optimal design , power (physics) , solar power , process engineering , solar energy , engineering , mathematical optimization , computer science , mathematics , algorithm , electrical engineering , physics , quantum mechanics , machine learning
Solar‐aided coal‐fired power generation ( SAPG ) has been attracting more and more attentions in recent years. However, the multi‐objective optimization of SAPG system considering off‐design work conditions has not been fully studied. In this paper, a general system integration optimization method ( GIOM ) has been developed for integration schemes optimization, and Nondominated Sorting Genetic Algorithm‐ II ( NSGA ‐ II ) algorithm is used for multi‐objective optimization of SAPG system. As a case study, a SAPG system that refers to a real 600 MW e supercritical coal‐fired power plant is optimized based on a typical day. By simultaneous optimization of both initial investment ( P ) and solar net electric generation ( E solar ), the solar subsystem design schemes are optimized as Pareto optimal set. At last, to maximum E solar / P , the final design scheme is selected from the Pareto optimal set, whose E solar and P are 237.6 MWh and 113.5 M$, respectively. The results show that, the final design scheme is a heliostat field with instantaneous optical efficiency of 63.24% at the design point, the receiver power rating is 133 MW t, the tower height is 136.6 m, and distances of successive rows of the three zones are 13.6, 17.7, and 24.5 m, respectively. A larger or smaller size of solar subsystem is considered to be uneconomical.