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