Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach

Green roofs are known as one of the environmentally-friendly applications and also as a sustainable approach in developing countries. Although many researchers have proven the environmental benefits of installing green roofs all around the world, they have not been used widely in many countries due...

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Main Authors: Abdullah, Arham, Saeed, Reza Mohandes, Tabatabaee, Sanaz, Aidin, Nobahar Sadeghifam, Mahdiyar, Amir
Format: Article
Published: ELSEVIER GMBH 2016
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Online Access:http://eprints.utm.my/id/eprint/66866/
http://dx.doi.org/10.1016/j.ufug.2016.10.001
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.668662017-11-20T08:52:04Z http://eprints.utm.my/id/eprint/66866/ Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach Abdullah, Arham Saeed, Reza Mohandes Tabatabaee, Sanaz Aidin, Nobahar Sadeghifam Mahdiyar, Amir TA Engineering (General). Civil engineering (General) Green roofs are known as one of the environmentally-friendly applications and also as a sustainable approach in developing countries. Although many researchers have proven the environmental benefits of installing green roofs all around the world, they have not been used widely in many countries due to the lack of knowledge about cost-benefit issues. This paper places an emphasis on all the private factors affecting cost-benefit analysis. Installation, operation and maintenance costs are compared with the benefits such as energy saving, the increase in property value, and the acoustic effect in order to determine two indicators namely “net present value” and “pay-back period,” using the Monte Carlo simulation. Two scenarios are considered in the analyses: using the property, and selling the property after construction. Moreover, correlation and regression sensitivity analyses are also conducted. The capital of Malaysia, Kuala Lumpur, is selected for the case study due to the lack of cost-benefit analysis in developing countries. The results show that there is low probability of loss in the installation of both types of green roofs during their lifespans. Moreover, net present value for intensive green roofs is found to be higher than extensive ones, whereas the payback period for installing extensive green roofs is lower than intensive green roofs. It is concluded that the probability of loss for the owner is higher than that of benefit in the scenario of selling the property after construction resulting from the installation of both types of green roofs. ELSEVIER GMBH 2016-01-12 Article PeerReviewed Abdullah, Arham and Saeed, Reza Mohandes and Tabatabaee, Sanaz and Aidin, Nobahar Sadeghifam and Mahdiyar, Amir (2016) Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach. Urban Forestry & Urban Greening, 20 . pp. 317-327. ISSN 1618-8667 http://dx.doi.org/10.1016/j.ufug.2016.10.001 DOI : 10.1016/j.ufug.2016.10.001
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Abdullah, Arham
Saeed, Reza Mohandes
Tabatabaee, Sanaz
Aidin, Nobahar Sadeghifam
Mahdiyar, Amir
Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
description Green roofs are known as one of the environmentally-friendly applications and also as a sustainable approach in developing countries. Although many researchers have proven the environmental benefits of installing green roofs all around the world, they have not been used widely in many countries due to the lack of knowledge about cost-benefit issues. This paper places an emphasis on all the private factors affecting cost-benefit analysis. Installation, operation and maintenance costs are compared with the benefits such as energy saving, the increase in property value, and the acoustic effect in order to determine two indicators namely “net present value” and “pay-back period,” using the Monte Carlo simulation. Two scenarios are considered in the analyses: using the property, and selling the property after construction. Moreover, correlation and regression sensitivity analyses are also conducted. The capital of Malaysia, Kuala Lumpur, is selected for the case study due to the lack of cost-benefit analysis in developing countries. The results show that there is low probability of loss in the installation of both types of green roofs during their lifespans. Moreover, net present value for intensive green roofs is found to be higher than extensive ones, whereas the payback period for installing extensive green roofs is lower than intensive green roofs. It is concluded that the probability of loss for the owner is higher than that of benefit in the scenario of selling the property after construction resulting from the installation of both types of green roofs.
format Article
author Abdullah, Arham
Saeed, Reza Mohandes
Tabatabaee, Sanaz
Aidin, Nobahar Sadeghifam
Mahdiyar, Amir
author_facet Abdullah, Arham
Saeed, Reza Mohandes
Tabatabaee, Sanaz
Aidin, Nobahar Sadeghifam
Mahdiyar, Amir
author_sort Abdullah, Arham
title Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
title_short Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
title_full Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
title_fullStr Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
title_full_unstemmed Probabilistic private cost-benefit analysis for green roof installation: a Monte Carlo simulation approach
title_sort probabilistic private cost-benefit analysis for green roof installation: a monte carlo simulation approach
publisher ELSEVIER GMBH
publishDate 2016
url http://eprints.utm.my/id/eprint/66866/
http://dx.doi.org/10.1016/j.ufug.2016.10.001
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