An optimization method for design and operation of combined cooling, heating, and power systems toward a smart grid

被引:8
作者
Chen, Yi [1 ]
Luo, Yimo [2 ]
Yang, Hongxing [1 ]
机构
[1] Hong Kong Polytech Univ, RERG, Dept Bldg Serv Engn, Room ZN816,Block Z,181 Chatham Rd South, Hong Kong 999077, Hong Kong, Peoples R China
[2] Technol & Higher Educ Inst Hong Kong, Fac Sci & Technol, Hong Kong, Hong Kong, Peoples R China
关键词
DEMAND RESPONSE CONTROL; SEWAGE-TREATMENT PLANT; RENEWABLE ENERGY; GENERATION; TRIGENERATION; PERFORMANCE; BUILDINGS; TECHNOLOGIES; INTEGRATION; COMBUSTION;
D O I
10.1080/23744731.2016.1198188
中图分类号
O414.1 [热力学];
学科分类号
摘要
Combined cooling, heating, and power systems are regarded as efficient, reliable, and environmentally friendly technologies for energy utilization. Besides, smart grid is an intelligent electricity delivering system, bringing benefits to utilities and consumers as well as improving the energy efficiency and reliability on the grid. The combination of the two provides a promising energy solution for future distributed energy systems. An optimization method was proposed for the design and operation of combined cooling, heating, and power systems toward a smart grid. The program enables optimization of components' sizing, biogas, and electricity on hourly demand. Hence, the program contributes to the smart grid demand side response. A sewage treatment plant in Hong Kong was selected for the case study because of its need for simultaneous heating, cooling, and power from self-generated biogas. The simulation was conducted under different sizing criteria and biogas prices. The combined cooling, heating, and power system can avoid dependency on utilities if the peak-load-sizing is adopted. For sewage treatment plants, it is more economically attractive to adopt a larger system. The optimized strategy revealed that the combined cooling, heating, and power should be operated longer at full load when biogas price is cheap and should be operated at part load, simply to satisfy the heating load, when biogas is expensive.
引用
收藏
页码:766 / 782
页数:17
相关论文
共 32 条
[1]   A review of inlet air-cooling technologies for enhancing the performance of combustion turbines in Saudi Arabia [J].
Al-Ibrahim, Abdulrahman M. ;
Varnham, Abdulhadi .
APPLIED THERMAL ENGINEERING, 2010, 30 (14-15) :1879-1888
[2]   Distributed energy generation and sustainable development [J].
Alanne, Kari ;
Saari, Arto .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2006, 10 (06) :539-558
[3]  
[Anonymous], BRILLIANCE BIOENERGY
[4]  
ASUE: BHKW-Kenndaten, 2011, MOD ANB KOST KAIS GE
[5]  
Bastian R., 2011, P WAT ENV FED WEFTEC, P4532
[6]   Experimental characterization of consensus protocol for decentralized smart grid metering [J].
Capriglione, Domenico ;
Ferrigno, Luigi ;
Paciello, Vincenzo ;
Pietrosanto, Antonio ;
Vaccaro, Alfredo .
MEASUREMENT, 2016, 77 :292-306
[7]   Integration of absorption cooling systems into micro gas turbine trigeneration systems using biogas: Case study of a sewage treatment plant [J].
Caries Bruno, Joan ;
Ortega-Lopez, Victor ;
Coronas, Alberto .
APPLIED ENERGY, 2009, 86 (06) :837-847
[8]   Study on energy and economic benefits of converting a combined heating and power system to a tri-generation system for sewage treatment plants in subtropical area [J].
Chen, Yi ;
Zhang, Tiantian ;
Yang, Hongxing ;
Peng, Jinqing .
APPLIED THERMAL ENGINEERING, 2016, 94 :24-39
[9]   A survey on the critical issues in smart grid technologies [J].
Colak, Ilhami ;
Sagiroglu, Seref ;
Fulli, Gianluca ;
Yesilbudak, Mehmet ;
Covrig, Catalin-Felix .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 :396-405
[10]   Prediction of the Italian electricity price for smart grid applications [J].
Crisostomi, Emanuele ;
Gallicchio, Claudio ;
Micheli, Ales Sio ;
Raugi, Marco ;
Tucci, Mauro .
NEUROCOMPUTING, 2015, 170 :286-295