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来源类型Article
规范类型其他
DOI10.1007/s10287-013-0177-3
Energy efficiency and risk management in public buildings: Strategic model for robust planning.
Cano EL; Moguerza JM; Ermolieva T; Ermoliev Y
发表日期2014
出处Computational Management Science 11 (1): 25-44
出版年2014
语种英语
摘要Due to deregulations of the energy sector and the setting of targets such as the 20/20/20 in the EU, operators of public buildings are now more exposed to instantaneous (short-term) market conditions. On the other hand, they have gained the opportunity to play a more active role in securing long-term supply, managing demand, and hedging against risk while improving existing buildings' infrastructures. Therefore, there are incentives for the operators to develop and use a Decision Support System to manage their energy sub-systems in a more robust energy-efficient and cost-effective manner. In this paper, a two-stage stochastic model is proposed, where some decisions (so-called first-stage decision) regarding investments in new energy technologies have to be taken before uncertainties are resolved, and some others (so-called second-stage decisions) on how to use the installed technologies will be taken once values for uncertain parameters become known, thereby providing a trade-off between long- and short-term decisions.
主题Advanced Systems Analysis (ASA) ; Ecosystems Services and Management (ESM)
关键词Decision making under uncertainty Energy optimisation Risk management Stochastic programming
URLhttp://pure.iiasa.ac.at/id/eprint/11018/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130113
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GB/T 7714
Cano EL,Moguerza JM,Ermolieva T,et al. Energy efficiency and risk management in public buildings: Strategic model for robust planning.. 2014.
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