Multi-objective optimization and simulation model for the design of distributed energy systems

被引:130
|
作者
Falke, Tobias [1 ]
Krengel, Stefan [1 ]
Meinerzhagen, Ann-Kathrin [1 ]
Schnettler, Armin [1 ]
机构
[1] RVVTH Aachen Univ, Inst High Voltage Technol IFHT, Schinkelstr 2, D-52056 Aachen, Germany
关键词
Multi-objective optimization model; Distributed energy system; Evolutionary algorithm; Generation planning; Combined heat and power; District heating network; SCALE; OPERATION; POWER; HEAT; MILP;
D O I
10.1016/j.apenergy.2016.03.044
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
In this paper, a multi-objective optimization model for the investment planning and operation management of distributed heat and electricity supply systems is presented. Different energy efficiency measures and supply options are taken into account, including various distributed heat and power generation units, storage systems and energy-saving renovation measures. Furthermore, district heating networks are considered as an alternative to conventional, individual heat supply for each building. The optimization problem is decomposed into three subproblems to reduce the computational complexity. This enables a high level of detail in the optimization and simultaneously the comprehensive investigation of districts with more than 100 buildings. These capabilities distinguish the model from previous approaches in this field of research. The developed model is applied to a district in a medium-sized town in Germany in order to analyze the effects of different efficiency measures regarding total costs and emissions of CO2 equivalents. Based on the Pareto efficient solutions, technologies and efficiency measures that can contribute most efficiently to reduce greenhouse gas emissions are identified. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1508 / 1516
页数:9
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