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Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study

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  • Schwartz, Yair
  • Raslan, Rokia
  • Mumovic, Dejan

Abstract

Early design decisions made by architects have been shown to significantly impact the energy performance of buildings. However, designers often lack the resources or knowledge to take informed decisions that might improve building performance. The refurbishment of existing buildings is considered to significantly contribute to the reduction of the life cycle environmental impact of buildings. Building refurbishment is also seen as the most cost-effective way of achieving this goal. In assessing the life cycle impacts of constructing and usage processes of buildings, LCA (life cycle analysis) is often used.

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  • Schwartz, Yair & Raslan, Rokia & Mumovic, Dejan, 2016. "Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study," Energy, Elsevier, vol. 97(C), pages 58-68.
    • Handle: RePEc:eee:energy:v:97:y:2016:i:c:p:58-68
    DOI: 10.1016/j.energy.2015.11.056
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    References listed on IDEAS

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