Simulation and multi-objective optimization of a combined heat and power (CHP) system integrated with low-energy buildings

被引:37
作者
Pirkandi, Jamasb [1 ]
Jokar, Mohammad Ali [2 ]
Sameti, Mohammad [2 ]
Kasaeian, Alibakhsh [2 ]
Kasaeian, Fazel [3 ]
机构
[1] Malek Ashtar Univ Technol, Dept Aerosp Engn, Tehran, Iran
[2] Univ Tehran, Dept Renewable Energies, Tehran, Iran
[3] Sharif Univ Technol, Dept Mat Sci & Engn, Tehran, Iran
关键词
Building energy simulation; Low-energy buildings; Cogeneration; Micro-gas turbine (MGT); Optimization; Genetic algorithm (GA); Economic analysis; Environmental consideration; DISTRIBUTED GENERATION; RESIDENTIAL BUILDINGS; PERFORMANCE; EXERGY; PLANT; TEMPERATURE; DEFINITION; COMPONENTS; BENEFITS; FUELS;
D O I
10.1016/j.jobe.2015.10.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
One of the novel applications of gas turbine technology is the integration of combined heat and power (CHP) system with micro-gas turbine which is spreading widely in the field of distributed generation and low-energy buildings. It has a promising great potential to meet the electrical and heating demands of residential buildings. In this study, a MATLAB code was developed to simulate and optimize the thermoeconomic performance of a gas turbine based CHP cycle. Three design parameters of this cycle considered in this research are compressor pressure ratio, turbine inlet temperature, and air mass flow rate. Firstly, two objective functions including exergetic efficiency and net power output were chosen to achieve their maximum level. Variation of exergy destruction rate and exergetic efficiency with three turbine inlet temperatures (1000, 1100, and 1200 K) and three air mass flow rates (0.25, 0.3, and 0.35 kg/s) were also studied for each component. Exergetic efficiency increased relatively to maximum 3% within this temperature limit. Based on the exergetic analysis, suggestions were given for reducing the overall irreversibility of the thermodynamic cycle. To have a good insight into this study, a sensitivity analysis for important parameters was also carried out. Finally, based on the exergy analysis and utilization of economic and environmental functions, a multi-objective approach was taken to optimize the system performance. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:13 / 23
页数:11
相关论文
共 41 条
[1]   Thermodynamic modeling and multi-objective evolutionary-based optimization of a new multigeneration energy system [J].
Ahmadi, Pouria ;
Dincer, Ibrahim ;
Rosen, Marc A. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 76 :282-300
[2]   Thermodynamic analysis of a tri-generation system based on micro-gas turbine with a steam ejector refrigeration system [J].
Ameri, Mohammad ;
Behbahaninia, Ali ;
Tanha, Amir Abbas .
ENERGY, 2010, 35 (05) :2203-2209
[3]   Distributed microtrigeneration systems [J].
Angrisani, G. ;
Roselli, C. ;
Sasso, M. .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2012, 38 (04) :502-521
[4]  
[Anonymous], 2014, PROGR GAS TURBINE PE
[5]  
[Anonymous], 2008, Catalog of CHP Technologies, Combined Heat and Power Partnership
[6]  
[Anonymous], 512 ACSE U SHEFF
[7]  
Arora J., 2004, INTRO OPTIMUM DESIGN
[8]   Thermo-economic-environmental multiobjective optimization of a gas turbine power plant with preheater using evolutionary algorithm [J].
Avval, H. Barzegar ;
Ahmadi, P. ;
Ghaffarizadeh, A. R. ;
Saidi, M. H. .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2011, 35 (05) :389-403
[9]   Analysis of gas turbine integrated cogeneration plant: Process integration approach [J].
Bade, Mukund H. ;
Bandyopadhyay, Santanu .
APPLIED THERMAL ENGINEERING, 2015, 78 :118-128
[10]   Optimisation of a combined Stirling cycle-organic Rankine cycle using a genetic algorithm [J].
Bahari, Seyed Saeed ;
Sameti, Mohammad ;
Ahmadi, Mohammad Hossein ;
Haghgooyan, Mohammad Sadegh .
INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2016, 37 (04) :398-402