eprintid: 10149656 rev_number: 9 eprint_status: archive userid: 699 dir: disk0/10/14/96/56 datestamp: 2023-08-01 15:58:00 lastmod: 2023-08-01 15:58:00 status_changed: 2023-08-01 15:58:00 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Wright, Andrew J creators_name: Korolija, Ivan creators_name: Zhang, Yi title: Optimization of dwelling design under current and future climates using evolutionary algorithms in EnergyPlus ispublished: pub divisions: C04 divisions: F34 divisions: B04 divisions: UCL keywords: Simulation, optimisation, energy, house note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Designers of low energy dwellings face many challenges in making best use of space, and providing day lit and pleasant spaces, while minimising heat loss and overall carbon emissions to meet various environmental and legislative targets. These also have to be achieved within financial, spatial and planning constraints. In other words, the design exercise is a multi-criteria optimization exercise. Usually this is done using experience through iterative design development, assisted by various software tools ranging from relatively simple models such as the Standard Assessment Procedure (SAP), to detailed thermal simulation. This paper describes the use of parametric simulations using EnergyPlus on a computer cluster to arrive at optimal solutions, for both current and future climates. The tool is applied to some modern house designs proposed for developments in the UK. date: 2013-04-12 date_type: published publisher: The Chartered Institution of Building Services Engineers (CIBSE) official_url: https://www.cibse.org/what-s-on/cibse-technical-symposium/past-papers-and-case-studies-archive/2013-papers oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1959669 lyricists_name: Korolija, Ivan lyricists_id: IKORO75 actors_name: Korolija, Ivan actors_id: IKORO75 actors_role: owner full_text_status: public pres_type: paper place_of_pub: London,UK event_title: The 2013 CIBSE Technical Symposium, Liverpool event_location: Liverpool, UK book_title: The 2013 CIBSE Technical Symposium citation: Wright, Andrew J; Korolija, Ivan; Zhang, Yi; (2013) Optimization of dwelling design under current and future climates using evolutionary algorithms in EnergyPlus. In: The 2013 CIBSE Technical Symposium. The Chartered Institution of Building Services Engineers (CIBSE): London,UK. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10149656/1/Wright%20et%20al.%20-%202013%20-%20Optimization%20of%20dwelling%20design%20under%20current%20and%20.pdf