Energy efficiency and risk management in public buildings: strategic model for robust planning |
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Authors: | Emilio L. Cano Javier M. Moguerza Tatiana Ermolieva Yuri Ermoliev |
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Affiliation: | 1. Universidad Rey Juan Carlos, Camino del Molino s/n, Fuenlabrada, Madrid, Spain 2. International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361, ?Laxenburg, Austria
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Abstract: | 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 decisions) 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. |
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