Optimization methodologies for building performance modelling and optimization
dc.contributor.author | Bandara, RMPS | |
dc.contributor.author | AttaIage, RA | |
dc.contributor.editor | Rodrigo, R | |
dc.date.accessioned | 2022-12-22T07:50:39Z | |
dc.date.available | 2022-12-22T07:50:39Z | |
dc.date.issued | 2013-02 | |
dc.description.abstract | dioxide emfssions. At presen'high emphasis is given on the reduction of energy consumption and carbon footprint by optimizing the performance and resource utilization of buildings to ach,eve sus,a,noble development. Building performance is analyzed in terms of energy performance, indoor environment for human comfort & health, environmental degradation and economic aspects. As for the energy performance analysis, this can be best modeled and optimized by a whole building energy simulation tool coupled with an appropriate optimization algorithm. Building performance optimization problems are inherenty multivariate and multi-criteria. Optimization methodologies with different characteristics that are broadly classified as Adaptive, Non-adaptive and Pareto Algorithms can be applied in this regard. The paper discusses the applicability of the aforementioned optimization methodologies in building performance optimization for achieving realistic results. | en_US |
dc.identifier.citation | ***** | en_US |
dc.identifier.conference | National Engineering Conference Engineering Research For Nation Building | en_US |
dc.identifier.department | Engineering Research Unit, University of Moratuwa | en_US |
dc.identifier.faculty | Engineering | en_US |
dc.identifier.pgnos | pp. 32-37 | en_US |
dc.identifier.place | Katubedda | en_US |
dc.identifier.proceeding | Proceedings of the 18th Annual Research Symposium | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/19871 | |
dc.identifier.year | 2013 | en_US |
dc.language.iso | en | en_US |
dc.publisher | The Engineering Research Unit, University of Moratuwa | en_US |
dc.title | Optimization methodologies for building performance modelling and optimization | en_US |
dc.type | Conference-Full-text | en_US |