Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application

X. J. Luo; K. F. Fong

doi:10.1016/j.egypro.2017.03.552

Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application

X. J. Luo^*
, K. F. Fong

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

37 Downloads (CityUHK Scholars)

Abstract

This paper presents a control strategy for a combined cooling and power (CCP) system using a prime mover of solid oxide fuel cell (SOFC) with bottoming cycle of gas turbine (GT) for building application. Dynamic simulation model of the CCP system was developed in TRNSYS 17, and the control strategy was developed for year-round operation in response to the changing climatic and loading conditions. The capacity ratio of cells in operation; the ratio of exhaust heat delivered to GT; and the ratio of cooling load shared between absorption and compression chillers were chosen as the decision variables in the control strategy. In order to minimize the system energy consumption, particle swarm optimization (PSO) was constructed in MATLAB and coupled with TRNSYS 17 for control optimization. It was found that with the proposed control strategy, the yearly energy saving of the SOFC-GT CCP system would be 6.89% compared to the reference case.

Original language	English
Title of host publication	Energy Procedia
Publisher	Elsevier
Pages	1883-1888
Volume	105
ISBN (Print)	1876-6102
DOIs	https://doi.org/10.1016/j.egypro.2017.03.552
Publication status	Published - May 2017
Event	8th International Conference on Applied Energy – ICAE 2016 - Beijing, China, Beijing, China Duration: 9 Oct 2016 → 11 Oct 2016 http://www.applied-energy.org/icae2016/#hero1 http://www.sciencedirect.com/science/journal/18766102/105 http://www.applied-energy.org/icae2016/#hero1

Publication series

Name
ISSN (Print)	1876-6102

Conference

Conference	8th International Conference on Applied Energy – ICAE 2016
Place	China
City	Beijing
Period	9/10/16 → 11/10/16
Internet address	http://www.applied-energy.org/icae2016/#hero1 http://www.sciencedirect.com/science/journal/18766102/105 http://www.applied-energy.org/icae2016/#hero1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

Combined cooling and power
Control optimization
Gas turbine
Particle swarm optimization
SOFC

Publisher's Copyright Statement

This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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10.1016/j.egypro.2017.03.552

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title = "Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application",

abstract = "This paper presents a control strategy for a combined cooling and power (CCP) system using a prime mover of solid oxide fuel cell (SOFC) with bottoming cycle of gas turbine (GT) for building application. Dynamic simulation model of the CCP system was developed in TRNSYS 17, and the control strategy was developed for year-round operation in response to the changing climatic and loading conditions. The capacity ratio of cells in operation; the ratio of exhaust heat delivered to GT; and the ratio of cooling load shared between absorption and compression chillers were chosen as the decision variables in the control strategy. In order to minimize the system energy consumption, particle swarm optimization (PSO) was constructed in MATLAB and coupled with TRNSYS 17 for control optimization. It was found that with the proposed control strategy, the yearly energy saving of the SOFC-GT CCP system would be 6.89\% compared to the reference case.",

keywords = "Combined cooling and power, Control optimization, Gas turbine, Particle swarm optimization, SOFC",

author = "Luo, \{X. J.\} and Fong, \{K. F.\}",

year = "2017",

month = may,

doi = "10.1016/j.egypro.2017.03.552",

language = "English",

isbn = "1876-6102",

volume = "105",

publisher = "Elsevier",

pages = "1883--1888",

booktitle = "Energy Procedia",

note = "8th International Conference on Applied Energy – ICAE 2016 ; Conference date: 09-10-2016 Through 11-10-2016",

url = "http://www.applied-energy.org/icae2016/\#hero1, http://www.sciencedirect.com/science/journal/18766102/105, http://www.applied-energy.org/icae2016/\#hero1",

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Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application. / Luo, X. J.; Fong, K. F.
Energy Procedia. Vol. 105 Elsevier, 2017. p. 1883-1888.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application

AU - Luo, X. J.

AU - Fong, K. F.

PY - 2017/5

Y1 - 2017/5

N2 - This paper presents a control strategy for a combined cooling and power (CCP) system using a prime mover of solid oxide fuel cell (SOFC) with bottoming cycle of gas turbine (GT) for building application. Dynamic simulation model of the CCP system was developed in TRNSYS 17, and the control strategy was developed for year-round operation in response to the changing climatic and loading conditions. The capacity ratio of cells in operation; the ratio of exhaust heat delivered to GT; and the ratio of cooling load shared between absorption and compression chillers were chosen as the decision variables in the control strategy. In order to minimize the system energy consumption, particle swarm optimization (PSO) was constructed in MATLAB and coupled with TRNSYS 17 for control optimization. It was found that with the proposed control strategy, the yearly energy saving of the SOFC-GT CCP system would be 6.89% compared to the reference case.

AB - This paper presents a control strategy for a combined cooling and power (CCP) system using a prime mover of solid oxide fuel cell (SOFC) with bottoming cycle of gas turbine (GT) for building application. Dynamic simulation model of the CCP system was developed in TRNSYS 17, and the control strategy was developed for year-round operation in response to the changing climatic and loading conditions. The capacity ratio of cells in operation; the ratio of exhaust heat delivered to GT; and the ratio of cooling load shared between absorption and compression chillers were chosen as the decision variables in the control strategy. In order to minimize the system energy consumption, particle swarm optimization (PSO) was constructed in MATLAB and coupled with TRNSYS 17 for control optimization. It was found that with the proposed control strategy, the yearly energy saving of the SOFC-GT CCP system would be 6.89% compared to the reference case.

KW - Combined cooling and power

KW - Control optimization

KW - Gas turbine

KW - Particle swarm optimization

KW - SOFC

UR - https://www.scopus.com/pages/publications/85020745633

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85020745633&origin=recordpage

U2 - 10.1016/j.egypro.2017.03.552

DO - 10.1016/j.egypro.2017.03.552

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1876-6102

VL - 105

SP - 1883

EP - 1888

BT - Energy Procedia

PB - Elsevier

T2 - 8th International Conference on Applied Energy – ICAE 2016

Y2 - 9 October 2016 through 11 October 2016

ER -

Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application

Abstract

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UN SDGs

Research Keywords

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