Case Studies
Mar 10, 2018

Thermoeconomic Analysis and Multi-Objective Optimization of a Combined Cooling and Power System Using Ammonia-Water Mixture: Case Study

Publication: Journal of Energy Engineering
Volume 144, Issue 3

Abstract

This paper investigates a combined cooling and power (CCP) system driven by a low-grade heat source. This system is a combination of the Kalina cycle and an ammonia-water absorption refrigeration cycle. Based on a thermoeconomic mathematical model, a numerical simulation and an exergy destruction analysis are conducted. A parametric analysis is also performed to examine the effects of several key parameters on the thermoeconomic performances of the CCP system. The results show that condensers contribute most exergy destruction to the system. The parametric analysis verifies that the key parameters have a significant impact on thermoeconomic performance. A multi-objective optimization is conducted to obtain the Pareto frontier solution for the CCP system, which provides diversified choices for different design requirements.

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Acknowledgments

The authors gratefully acknowledge the financial support by the National Natural Science Foundation of China (Grant No. 51476121).

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Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 144Issue 3June 2018

History

Received: May 12, 2017
Accepted: Nov 3, 2017
Published online: Mar 10, 2018
Published in print: Jun 1, 2018
Discussion open until: Aug 10, 2018

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Authors

Affiliations

Liyan Cao
Ph.D. Candidate, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China.
Jiangfeng Wang [email protected]
Associate Professor, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China (corresponding author). E-mail: [email protected]
Liangqi Chen
Master’s Candidate, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China.
Juwei Lou
Master’s Candidate, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China.
Jianyong Wang
Ph.D. Candidate, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China.
Yiping Dai
Professor, Institute of Turbomachinery, Xi’an Jiaotong Univ., Xi’an 710049, China.

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