Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management

G.C. Li, G.H. Huang, Q.G. Lin, X.D. Zhang, Q. Tan and Y.M. Chen

Energy, 2011, vol. 36, issue 5, 3388-3398

Abstract: Multiple dynamics and uncertainties are involved in regional energy and greenhouse gas management (REGM) system, confronting decision makers during plan/policy makings. In this study, a greenhouse gas (GHG)-mitigation oriented inexact dynamic energy system management model (IFMP-REGM) is developed for a REGM system. The IFMP-REGM is a hybrid methodology of interval mathematical programming, fuzzy linear programming and multi-stage stochastic programming. It can not only handle uncertainties presented as discrete intervals, fuzzy sets and probability distributions, but also reflect dynamic variations of system conditions, particularly for large-scale multistage problems with sequential structures. The uncertain information can be incorporated within a multi-layer scenario tree; revised decisions are permitted in each time period based on the realized values of the uncertain events. The developed IFMP-REGM model was then applied to a hypothetical regional energy and GHG management system. The results indicate that the IFMP-REGM can effectively address complexities of various system uncertainties as well as dealing with multi-stage stochastic decision problems within energy systems.

Keywords: Greenhouse gas; Management; Energy system model; Uncertain; Fuzzy; Multi-stage (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:5:p:3388-3398

DOI: 10.1016/j.energy.2011.03.037

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