| 来源类型 | Article
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| 规范类型 | 其他
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| DOI | 10.1016/j.energy.2010.01.019
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| Short term decisions for long term problems - The effect of foresight on model based energy systems analysis. |
| Keppo I; Strubegger M
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| 发表日期 | 2010
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| 出处 | Energy 35 (5): 2033-2042
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| 出版年 | 2010
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| 语种 | 英语
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| 摘要 | This paper presents the development and demonstration of a limited foresight energy system model. The presented model is implemented as an extension to a large, linear optimization model, MESSAGE. The motivation behind changing the model is to provide an alternative deision framework, where information for the full time frame is not available immediately and sequential decision making under incomplete information is implied. While the traditinal optimization framework provides the globally optimal decisions for the modeled problem, the framework presented here may offer a better description of the decision environmnt, under which decision makers must operate. We further modify the model to accommodate flexible dynamic constraints, which give an option to implement investments faster, albeit with a higher cost. Finally, the operation of the model is demonstrated using a moving window of foresight, with which decisions are taken for the next 30 years but can be reconsidered later, when more information becomes available. We find that the results demonstrate some of the pitfalls of short term planning, e.g. lagging investments during earlier periods lead to higher requirements later during the century. Furthermore, the energy system remains more reliant on fossil based energy carriers, leading to higher greenhouse gas emissions. |
| 主题 | Energy (ENE)
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| 关键词 | Energy modeling
Optimization model
Decision horizon
Myopic
Foresight
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| URL | http://pure.iiasa.ac.at/id/eprint/9262/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129147
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推荐引用方式
GB/T 7714 |
Keppo I,Strubegger M. Short term decisions for long term problems - The effect of foresight on model based energy systems analysis.. 2010.
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