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Multi-Objective Genetic Algorithms for the Minimisation of the Life Cycle Carbon Footprint and Life Cycle Cost of the Refurbishment of a Residential Complex's Envelope: A Case Study

Schwartz, Yair; (2014) Multi-Objective Genetic Algorithms for the Minimisation of the Life Cycle Carbon Footprint and Life Cycle Cost of the Refurbishment of a Residential Complex's Envelope: A Case Study. Masters thesis (M.Res), UCL (University College London).

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Abstract

Life Cycle Analysis (LCA) is an environmental assessment and management framework that aims to simplify the decision-making processes of manufacturing and consumption, with regard to their environmental impact. In the built environment, LCA is often used as a comparative tool that helps in choosing one design alternative over another. Most LCA studies compare a limited number of design alternatives due to the complexity of the LCA method. This study examines various Life Cycle aspects of a refurbishment of a large residential complex case study. It`s main goal is to explore the potential of using Multi-objective Genetic Algorithms in (GA) to find the optimal design solution for the refurbishment of the case study building, in terms of Life Cycle Carbon Footprint (LCCF) and Life Cycle Cost (LCC). The study examined the Life-Cycle of the refurbishment from Cradle to grave over a period of 60 years. It included the embodied carbon within the various building components, the required energy for transport, construction and maintenance, operational energy and required energy for demolition. Results show that the GA code has successfully found optimal combinations of window-to-wall ratio and envelope build-ups. It also showed the life-cycle impact of insulated and non-insulated thermal bridges and the life cycle impact of using different primary energy fuel sources for heating. The study finally compares LCA`s results with other, more common energy consumption decision-making design procedures, and shows that the different procedures might lead to different conclusions.

Type: Thesis (Masters)
Qualification: M.Res
Title: Multi-Objective Genetic Algorithms for the Minimisation of the Life Cycle Carbon Footprint and Life Cycle Cost of the Refurbishment of a Residential Complex's Envelope: A Case Study
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10183573
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