Influence of energy demands ratio on the optimal facility scheme and feasibility of BCHP system

被引:37
作者
Li Chao-zhen [1 ]
Gu Jian-ming [1 ]
Huang Xing-hua [1 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen Engn, Shanghai 200240, Peoples R China
关键词
BCHP; sensitivity analysis; energy demands ratio; feasibility evaluation; optimal facility scheme;
D O I
10.1016/j.enbuild.2008.04.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Building cooling heating & power (BCHP) system has advantages of energy saving and environment protection. Accurate feasibility evaluation and rational match between energy supply and energy demands are necessary for the realization of advantages of BCHP system. The influence of energy demands on the optimal facility scheme and feasibility of BCHP system needs especially to be studied. Mixed-integer nonlinear programming model is established with integrated optimization of facility scheme and operation strategy of BCHP system. A series of energy demands with different heat-electricity ratio and cooling-electricity ratio are achieved based on the energy demands of a hotel. Sensitivity analysis about energy demands ratios is carried out in this paper to study their influence on optimal capacity of facilities and feasibility indices. And the reason of the results is analyzed. Indices of feasibility evaluation include annual cost, annual cost saving rate and annual natural gas saving rate. It is shown in result that energy demands of different type have different weight in optimal capacities. Optimal capacities of facilities should be designed with consideration of all three kinds of energy demands. Different feasibility evaluation are achieved with different indices. The BCHP system is preferable for buildings with high heat demand. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1876 / 1882
页数:7
相关论文
共 10 条
[1]   A new approach to exergoeconomic analysis and design of variable demand energy systems [J].
Cardona, E ;
Piacentino, A .
ENERGY, 2006, 31 (04) :490-515
[2]  
[冯志兵 Feng Zhibing], 2005, [热能动力工程, Journal of Engineering for Thermal Energy and Power], V20, P425
[3]   Optimal operational planning of cogeneration systems with microturbine and desiccant air conditioning units [J].
Gamou, S ;
Ito, K ;
Yokoyama, R .
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2005, 127 (03) :606-614
[4]   Impacts of temporal precision in optimisation modelling of micro-combined heat and power [J].
Hawkes, A ;
Leach, M .
ENERGY, 2005, 30 (10) :1759-1779
[5]  
HUANG XH, 2008, SOLAR T, V29, P24
[6]  
LI L, 2004, ENG THERMAL PHYS T, V25, P909
[7]   On thermoeconomics of energy systems at variable load conditions: Integrated optimization of plant design and operation [J].
Piacentino, A. ;
Cardona, F. .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (08) :2341-2355
[8]  
SALEM S, 2000, APPL ENERG, V67, P245
[9]   Application of information theory for the analysis of cogeneration-system performance [J].
Takahashi, K ;
Ishizaka, T .
APPLIED ENERGY, 1998, 61 (03) :147-162
[10]   An optimal sizing method for cogeneration plants [J].
Zhang, BH ;
Long, WD .
ENERGY AND BUILDINGS, 2006, 38 (03) :189-195