Modeling technological change in energy systems - From optimization to agent-based modeling

被引:73
作者
Ma, Tieju [1 ,2 ]
Nakamori, Yoshiteru [3 ]
机构
[1] E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
[2] Int Inst Appl Syst Anal, Transit New Technol Program, A-2361 Laxenburg, Austria
[3] Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa 9231292, Japan
关键词
Technological change; Energy systems modeling; Agent-based modeling; ECONOMY;
D O I
10.1016/j.energy.2009.03.005
中图分类号
O414.1 [热力学];
学科分类号
摘要
Operational optimization models are one of the main streams in modeling energy systems. Agent-based modeling and simulation seem to be another approach getting popular in this field. In either optimization or agent-based modeling practices, technological change in energy systems is a very important and inevitable factor that researchers need to deal with. By introducing three stylized models, namely, a traditional optimization model, an optimization model with endogenous technological change, and an agent-based model, all of which were developed based on the same deliberately simplified energy system, this paper compares how technological change is treated differently in different modeling practices for energy systems, the different philosophies underlying them, and the advantages/disadvantages of each modeling practice. Finally, this paper identifies the different contexts suitable for applying optimization models and agent-based models in decision support regarding energy systems. (C) 2009 Elsevier Ltd. All rights reserved
引用
收藏
页码:873 / 879
页数:7
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