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Information Journal Paper

Title

Optimization of Building Energy Consumption Considering Uncertainties

Pages

  26-39

Abstract

 Energy optimization and consumption analysis is the first step in realizing smart houses. This paper incorporates the uncertainty of the effective parameters and probabilistically optimizes the energy consumption in a building. To this end, probability density functions (PDFs) of building uncertain parameters are modeled by empirical rule method and the energy usage in buildings is optimized. Energy-Plus and MATLAB softwares are respectively used to compute energy consumption in a building and to optimize energy consumption. Energy consumption of the building and the Thermal Comfort are considered as objective functions of the proposed multi-objective optimization problem. A 12-storey commercial building is used as a case study. The proposed probabilistic method is compared with the deterministic method to assess the proposed method, . The results show a significant difference between the deterministic and probabilistic cases. The maximum difference between the mean optimal values of variable parameters in these cases is about 34%. Finally, sensitivity of the results to the climate changes is also investigated in this paper.

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    APA: Copy

    Bordbari, Mohamad Javad, RASTEGAR, MOHAMMAD, & SEIFI, ALIREZA. (2020). Optimization of Building Energy Consumption Considering Uncertainties. JOURNAL OF ENERGY MANAGEMENT, 10(2 ), 26-39. SID. https://sid.ir/paper/375599/en

    Vancouver: Copy

    Bordbari Mohamad Javad, RASTEGAR MOHAMMAD, SEIFI ALIREZA. Optimization of Building Energy Consumption Considering Uncertainties. JOURNAL OF ENERGY MANAGEMENT[Internet]. 2020;10(2 ):26-39. Available from: https://sid.ir/paper/375599/en

    IEEE: Copy

    Mohamad Javad Bordbari, MOHAMMAD RASTEGAR, and ALIREZA SEIFI, “Optimization of Building Energy Consumption Considering Uncertainties,” JOURNAL OF ENERGY MANAGEMENT, vol. 10, no. 2 , pp. 26–39, 2020, [Online]. Available: https://sid.ir/paper/375599/en

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