Automated optimum geometry generation of a building for the minimization of heating and cooling energy demands

Ala Hasan, Teemu Vesanen, Nusrat Jung, Rikka Holopainen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    Abstract

    This paper reports first results of our work in using simulation-based optimization in automatic generation of building shapes considering multiple objectives, variables and constrains. An optimization problem is presented for finding the optimum geometry solutions for an office building that has a basic cross-shape. The problem is solved as a two-objective optimization problem with the aim of finding the optimal trade-off solutions between the cooling energy and heating energy as two conflicting objectives. The solutions are generated by re-distributing the building's zones in four orientations and selecting the number of floors while keeping the total floor area of the building constant. Different challenges were faced in the representation of the building with undefined exact dimensions in the simulation program during the optimization process. The optimal solutions showed the trends of the distribution of the zones and the number of the floors and gave guidance for exploring other new solutions.
    Original languageEnglish
    Title of host publicationProceedings of the 3rd IBPSA-England Conference BSO 2016
    PublisherNewcastle University
    Pages1124-1132
    Number of pages8
    Publication statusPublished - 2016
    MoE publication typeNot Eligible
    Event3rd IBPSA-England Building Simulation & Optimization, BSO 2016 - Newcastle, United Kingdom
    Duration: 12 Sep 201614 Sep 2016

    Conference

    Conference3rd IBPSA-England Building Simulation & Optimization, BSO 2016
    Abbreviated titleBSO 2016
    CountryUnited Kingdom
    CityNewcastle
    Period12/09/1614/09/16

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