Operational strategy and marginal costs in simple trigeneration systems

被引:82
作者
Lozano, M. A. [1 ]
Carvalho, M. [1 ]
Serra, L. M. [1 ]
机构
[1] Univ Zaragoza, Grp Thermal Engn & Energy Syst GITSE, Aragon Inst Energy Res I3A, Dept Mech Engn,CPS Ingenieros, Zaragoza 50018, Spain
关键词
CHCP; Trigeneration; Thermoeconomics; Operational strategy; Linear programming; THERMOECONOMIC DIAGNOSIS; EXERGOECONOMIC ANALYSIS; ENERGY; OPTIMIZATION; COGENERATION; DESIGN; POWER; ALTERNATIVES; METHODOLOGY; ALLOCATION;
D O I
10.1016/j.energy.2009.08.015
中图分类号
O414.1 [热力学];
学科分类号
摘要
As a direct result of economic pressures to cut expenses, as well as the legal obligation to reduce emissions, companies and businesses are seeking ways to use energy more efficiently. Trigeneration systems (CHCP: Combined Heating, Cooling and Power generation) allow greater operational flexibility at sites with a variable demand for energy in the form of heating and cooling. This is particularly relevant in buildings where the need for heating is restricted to a few winter months. In summer, the absorption chillers make use of the cogenerated heat to produce chilled water, avoiding waste heat discharge. The operation of a simple trigeneration system is analyzed in this paper. The system is interconnected to the electric utility grid, both to receive electricity and to deliver surplus electricity. For any given demand required by the users, a great number of operating conditions are possible. A linear programming model provides the operational mode with the lowest variable cost. A thermoeconomic analysis, based on marginal production costs, is used to obtain unit costs for internal energy flows and final products as well as to explain the best operational strategy as a function of the demand for energy services and the prices of the resources consumed. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2001 / 2008
页数:8
相关论文
共 52 条
[1]   A mixed integer programming model for optimal design of trigeneration in a hospital complex [J].
Arcuri, P. ;
Florio, G. ;
Fragiacomo, P. .
ENERGY, 2007, 32 (08) :1430-1447
[2]  
Arena AP, 1999, INT J THERM SCI, V38, P601
[3]   A methodology for sizing a trigeneration plant in mediterranean areas [J].
Cardona, E ;
Piacentino, A .
APPLIED THERMAL ENGINEERING, 2003, 23 (13) :1665-1680
[4]   From cogeneration to trigeneration: Profitable alternatives in a competitive market [J].
Chicco, G ;
Mancarella, P .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (01) :265-272
[5]   Distributed multi-generation: A comprehensive view [J].
Chicco, Gianfranco ;
Mancarefla, Pierluigi .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (03) :535-551
[6]  
CHOSE, 2001, EN SAV COMB HEAT COO
[7]  
CONDE E, 2006, FUEL PROCESSING TECH, V87, P163
[8]   Exergy cost analysis of a micro-trigeneration system based on the structural theory of thermoeconomics [J].
Deng, Jian ;
Wang, Ruzhu ;
Wu, Jingyi ;
Han, Guyong ;
Wu, Dawei ;
Li, Sheng .
ENERGY, 2008, 33 (09) :1417-1426
[9]  
DENTICE M, 1998, INT J REFRIGERATOR, V21, P42
[10]  
DORGAN CB, 1995, ASHRAE J