Back to Search Start Over

Thermoeconomic performance of supercritical carbon dioxide Brayton cycle systems for CNG engine waste heat recovery.

Authors :
Yu, Mingzhe
Yang, Fubin
Zhang, Hongguang
Yan, Yinlian
Ping, Xu
Pan, Yachao
Xing, Chengda
Yang, Anren
Source :
Energy. Feb2024, Vol. 289, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The supercritical carbon dioxide (S–CO 2) Brayton cycle is a potential technology for recovering waste heat from compressed natural gas (CNG) engines. To choose suitable cycle configurations is important considering the complex operating characteristics of CNG engines. The traditional evaluation models of the S–CO 2 cycles configuration are relatively one-sided without the comprehensive considerations of evaluation metrics. On the basis of the analytic hierarchy process and information entropy theory, this paper proposes a multi-dimensional comprehensive evaluation method for S–CO 2 cycles from three perspectives: thermodynamic, economic, and environmental performance. A thermoeconomic performance optimization is conducted using a non-dominated genetic algorithm Ⅱ. Unlike most of the existing researches that use a single stable operating condition, this paper considers the full operating conditions of engines. Results show that the recompression cycle has the best overall performance among the investigated cycles with an exergy efficiency and electricity production cost of 67.20 % and 0.45 $/kWh, respectively. The efficiency improvement of the CNG engine coupled with the WHR system can reach up to 6.31 %. This study can provide a new reference for the comprehensive multidimensional evaluation and performance characteristics and optimal performance acquisition under full engine operating conditions of the S–CO 2 cycle. • A multi-dimensional comprehensive evaluation method for S–CO 2 Brayton cycle. • Thermo-economic optimization under full operating conditions is conducted. • The optimal operating regions of decision variables are obtained. • The CNG engine efficiency with waste heat recovery can be improved by 6.31 %. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
289
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
174951016
Full Text :
https://doi.org/10.1016/j.energy.2023.129972