Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions. Issue 2 (17th February 2019)
- Record Type:
- Journal Article
- Title:
- Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions. Issue 2 (17th February 2019)
- Main Title:
- Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions
- Authors:
- Wang, Jianxing
Duan, Liqiang
Yang, Yongping
Pang, Liping
Yang, Laishun - Abstract:
- Abstract: 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 MWe 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$, respectively. The results show that, the final design scheme is a heliostat field with instantaneous optical efficiency of 63.24% at the design point, the receiver power rating is 133 MWt, the tower height is 136.6 m, and distances of successive rows of the three zones are 13.6, 17.7, and 24.5 m, respectively. A larger or smaller size of solar subsystem is considered to be uneconomical. Abstract : The investment, the solar net electric generation, and E solar / P of the Pareto front are shown in Figure 9. It can be seen that the maximumAbstract: Solar‐aided coal‐fired power generation (SAPG) has been attracting more and more attentions in recent years. However, the multi‐objective optimization of SAPG system considering off‐design work conditions has not been fully studied. In this paper, a general system integration optimization method (GIOM) has been developed for integration schemes optimization, and Nondominated Sorting Genetic Algorithm‐II (NSGA‐II) algorithm is used for multi‐objective optimization of SAPG system. As a case study, a SAPG system that refers to a real 600 MWe supercritical coal‐fired power plant is optimized based on a typical day. By simultaneous optimization of both initial investment ( P ) and solar net electric generation ( E solar ), the solar subsystem design schemes are optimized as Pareto optimal set. At last, to maximum E solar / P, the final design scheme is selected from the Pareto optimal set, whose E solar and P are 237.6 MWh and 113.5 M$, 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 MWt, 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. Abstract : The investment, the solar net electric generation, and E solar / P of the Pareto front are shown in Figure 9. It can be seen that the maximum value of E solar / P is 2.09. The corresponding design scheme results are as follows: [133.0 (RPR), 136.6 (HT), 0.8( R 1 ), 1.0 (∆ R 1 ), 1.3 (∆ R 2 ), 1.8 (∆ R 3 ), 2.1 (∆ R 4 ), 2.5 (∆ R 5 ), 2.5 (∆ R 6 )]. That is to say, the final design scheme is a heliostat field with 133.0 MWt receiver power rating and 136.6 m tower height. … (more)
- Is Part Of:
- Energy science & engineering. Volume 7:Issue 2(2019)
- Journal:
- Energy science & engineering
- Issue:
- Volume 7:Issue 2(2019)
- Issue Display:
- Volume 7, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 7
- Issue:
- 2
- Issue Sort Value:
- 2019-0007-0002-0000
- Page Start:
- 379
- Page End:
- 398
- Publication Date:
- 2019-02-17
- Subjects:
- general system integration optimization method -- multi‐objective optimization -- off‐design work conditions -- solar‐aided coal‐fired power generation
Energy industries -- Periodicals
Energy development -- Periodicals
Power resources -- Periodicals
621.042 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-0505 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ese3.280 ↗
- Languages:
- English
- ISSNs:
- 2050-0505
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9819.xml