A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method

被引:53
作者
Piacentino, Antonio [1 ]
Barbaro, Chiara [1 ]
Cardona, Fabio [1 ]
Gallea, Roberto [2 ]
Cardona, Ennio [1 ]
机构
[1] Univ Palermo, Dept Energy, I-90128 Palermo, Italy
[2] Univ Palermo, Dept Chem Management Informat Technol & Mech Engn, I-90128 Palermo, Italy
关键词
Polygeneration; Energy saving; Profitability; Optimization tool; Micro-grid; Efficiency; CHCP PILOT-PLANT; OPTIMIZATION MODELS; PROGRAMMING-MODEL; POWER-SYSTEM; TRIGENERATION; COGENERATION; THERMOECONOMICS; ALGORITHM; SELECTION; DEMAND;
D O I
10.1016/j.apenergy.2012.11.078
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Polygeneration systems with thermal energy storage represent promising solutions to achieve energy saving and emissions reduction in the civil sector. The definition of customer-oriented design and operation strategies represents a most challenging task, in order to maximize the profitability and make the investment attractive. A large potential is often recognized for the installation of centralized plants serving a cluster of buildings located over a small area; in such cases the design problem becomes extremely complex and the analyst needs reliable instruments to identify the optimal solution. This paper in two parts presents a scientific tool for the optimization of design and operation for complex polygeneration plants serving a number of buildings with heat, cooling and electricity. The method is flexible with respect to boundary conditions as concerns the power exchange with the public grid, the tariff structure and the normative constraints. In Part I of the paper the method is described, focusing the attention on the most conceptual aspects. The Mixed Integer Linear Programming algorithm is also presented and error analyses are performed for each of the figures adopted, in order to assess the robustness of the method. In Part II of this paper the tool will be extensively applied to some explicative case studies, in order to better clarify its potential in supporting energy analysts and decision makers. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1204 / 1221
页数:18
相关论文
共 41 条
[1]  
Air-Conditioning and Refrigeration Institute, 2000, 5602000 ARI
[2]  
[Anonymous], 2009, LINDO API 6 0 US MAN, P548
[3]  
[Anonymous], 2004, OFF J EUR UNION
[4]   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
[5]   Thermodynamic and thermoeconomic analyses of a trigeneration (TRIGEN) system with a gas-diesel engine: Part I - Methodology [J].
Balli, Ozgur ;
Aras, Haydar ;
Hepbasli, Arif .
ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (11) :2252-2259
[6]   Implications of the modelling of stratified hot water storage tanks in the simulation of CHP plants [J].
Campos Celador, A. ;
Odriozola, M. ;
Sala, J. M. .
ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (8-9) :3018-3026
[7]   Optimal design of CHCP plants in the civil sector by thermoeconomics [J].
Cardona, E. ;
Piacentino, A. .
APPLIED ENERGY, 2007, 84 (7-8) :729-748
[8]   Cogeneration: a regulatory framework toward growth [J].
Cardona, E ;
Piacentino, A .
ENERGY POLICY, 2005, 33 (16) :2100-2111
[9]   A validation methodology for a combined heating cooling and power (CHCP) pilot plant [J].
Cardona, E ;
Piacentino, A .
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2004, 126 (04) :285-292
[10]   A methodology for sizing a trigeneration plant in mediterranean areas [J].
Cardona, E ;
Piacentino, A .
APPLIED THERMAL ENGINEERING, 2003, 23 (13) :1665-1680