NDLI: 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

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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

Content Provider	ACM Digital Library
Author	Mumovic, Dejan Raslan, Rokia Schwartz, Yair
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 method. The main goal of this study is to examine the various Life Cycle aspects of a refurbishment of a case study, and explore the potential of using Multi Objective Genetic Algorithms (MOGA) with Dynamic Thermal Simulation Tool (EnergyPlus) to find optimal refurbishment measures in terms of Life Cycle Carbon Footprint (LCCF) and Life Cycle Cost (LCC) over an assumed life span of 60 years. Results show that MOGA successfully identified optimal design solutions, when taking into account both basic design aspects such as window-to-wall ratio or envelope build-ups, but also more detailed ones, such as thermal bridges insulation and the use of different fuel types for energy generation.
Starting Page	189
Ending Page	196
Page Count	8
File Format	PDF
ISBN	9781510801042
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-04-12
Publisher Place	San Diego
Access Restriction	Subscribed
Subject Keyword	Building performance optimisation Lca - life cycle analysis Multi-objective genetic algorithm Lcc - life cycle cost Lccf - life cycle carbon footprint
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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