| 학회 |
한국화학공학회 |
| 학술대회 |
2014년 봄 (04/23 ~ 04/25, 창원컨벤션센터) |
| 권호 |
20권 1호, p.1125 |
| 발표분야 |
윤인섭 교수 정년 기념 심포지엄(지속가능 성장을 위한 공정시스템의 미래) |
| 제목 |
Optimization and energy systems engineering |
| 초록 |
Energy systems engineering problems are oftentimes complicated by factors like large amounts of uncertainties and multi-scale nature of decisions. This presentation examines the role of optimization in energy systems engineering and the complications that arise, particularly those that arise from the coupling between long-term planning decisions like capital investment and policy and shorter-term decisions like production capacity operation and logistics. The talk starts with the discussion of a simple two-stage stochastic program that addresses optimization of an energy supply chain in the presence of uncertainties. The discussion then moves on to a more complex multi-stage, multi-scale stochastic decision problem in which periodic investment / policy decisions are to be made on a time-scale orders of magnitude slower than that of operating decisions. Approximate dynamic programming is proposed as a promising algorithmic strategy to handle such challenges. |
| 저자 |
이재형 |
| 소속 |
Department of Chemical and Biomolecular Engineering |
| 키워드 |
Stochastic optimization; Dynamic programming; Energy supply chain; Multi-scale; Uncertainty
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| E-Mail |
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| 원문파일 |
초록 보기 |
