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<https://discovery.ucl.ac.uk/id/eprint/10149656> <http://purl.org/dc/terms/title> "Optimization of dwelling design under current and future climates using evolutionary algorithms in EnergyPlus"^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10149656> <http://purl.org/ontology/bibo/abstract> "Designers of low energy dwellings face many challenges in making best use of\r\nspace, and providing day lit and pleasant spaces, while minimising heat loss and\r\noverall carbon emissions to meet various environmental and legislative targets.\r\nThese also have to be achieved within financial, spatial and planning constraints. In\r\nother words, the design exercise is a multi-criteria optimization exercise. Usually this\r\nis done using experience through iterative design development, assisted by various\r\nsoftware tools ranging from relatively simple models such as the Standard\r\nAssessment Procedure (SAP), to detailed thermal simulation. This paper describes\r\nthe use of parametric simulations using EnergyPlus on a computer cluster to arrive at\r\noptimal solutions, for both current and future climates. The tool is applied to some\r\nmodern house designs proposed for developments in the UK."^^<http://www.w3.org/2001/XMLSchema#string> .
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