Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimal Energy Management of Residential Buildings to Supply Controllable and Uncontrollable Loads Under Uncertainty
Due to the concerns over the generation of greenhouse gasses in power systems and also financial priorities in delivering reliable energy to customers at different levels, optimal scheduling of local energy resources in residential buildings seems to be vital. Optimal scheduling of local renewable and nonrenewable energy sources along with developing proper uncertainty management tools ensures delivery of clean and cost-efficient energy to the customers, e.g., buildings. This chapter proposes an optimization framework with a robust uncertainty management model (RUMM) for optimal uncertainty-based scheduling of local energy resources while sneering reliable energy delivered to controllable and uncontrollable electricity, heat, and cooling loads in a residential building. The proposed model seeks to coordinate the operation of electricity, cooling, and heating sectors in order to minimize the daily operation cost of the building while mitigating the negative impact of uncertainty. The proposed model is formulated as a mixed-integer linear programming (MILP) problem and solved using CPLEX in general algebraic modeling system (GAMS) package. Simulations results show that in the optimistic case of uncertainty, the operator of the building can manage the operation of local energy supply sources to get opportunities for further cost reduction in supplying energy to the building. Moreover, in the pessimistic case of uncertainty, the operator can make proper decisions to make the operation of the building robust enough against the uncertainty.
Optimal Energy Management of Residential Buildings to Supply Controllable and Uncontrollable Loads Under Uncertainty
Due to the concerns over the generation of greenhouse gasses in power systems and also financial priorities in delivering reliable energy to customers at different levels, optimal scheduling of local energy resources in residential buildings seems to be vital. Optimal scheduling of local renewable and nonrenewable energy sources along with developing proper uncertainty management tools ensures delivery of clean and cost-efficient energy to the customers, e.g., buildings. This chapter proposes an optimization framework with a robust uncertainty management model (RUMM) for optimal uncertainty-based scheduling of local energy resources while sneering reliable energy delivered to controllable and uncontrollable electricity, heat, and cooling loads in a residential building. The proposed model seeks to coordinate the operation of electricity, cooling, and heating sectors in order to minimize the daily operation cost of the building while mitigating the negative impact of uncertainty. The proposed model is formulated as a mixed-integer linear programming (MILP) problem and solved using CPLEX in general algebraic modeling system (GAMS) package. Simulations results show that in the optimistic case of uncertainty, the operator of the building can manage the operation of local energy supply sources to get opportunities for further cost reduction in supplying energy to the building. Moreover, in the pessimistic case of uncertainty, the operator can make proper decisions to make the operation of the building robust enough against the uncertainty.
Optimal Energy Management of Residential Buildings to Supply Controllable and Uncontrollable Loads Under Uncertainty
Green Energy,Technology
Sadat-Mohammadi, Milad (Herausgeber:in) / Nazari-Heris, Morteza (Herausgeber:in) / Asadi, Somayeh (Herausgeber:in) / Mohammadi-Ivatloo, Behnam (Herausgeber:in) / Jebelli, Houtan (Herausgeber:in) / Mirzapour-Kamanaj, Amir (Autor:in) / Talebi, Amir (Autor:in) / Zare, Kazem (Autor:in) / Mohammadi-Ivatloo, Behnam (Autor:in)
02.09.2022
25 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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| BASE | 2021
| British Library Conference Proceedings | 1992