Web-based automation of green building rating index and life cycle cost analysis

2nd International Conference on Sustainable Development in Civil, Urban and Transportation Engineering

地球科学;运输工程;经济学

Khan, Jam Shahzaib^1 ; Zakaria, Rozana^1 ; Aminuddin, Eeydzah^1 ; Abidin, Nur Izieadiana^1 ; Sahamir, Shaza Rina^2 ; Ahmad, Rosli^1 ; Abas, Darul Nafis^1

Faculty of Civil Engineering, Universiti Teknologi Malaysia, Malaysia^1

Faculty of Architecture, Planning and Surveying, Universiti Teknologi Mara, UiTM, Selangor, Shah Alam

40450, Malaysia^2

关键词: Assessment tool;    Automated tools;    Construction projects;    Economic meltdown;    Green technology;    Life cycle cost analysis;    Literature reviews;    Programming tools;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/143/1/012062/pdf
DOI  :  10.1088/1755-1315/143/1/012062

来源: IOP

【 摘 要 】

Sudden decline in financial markets and economic meltdown has slow down adaptation and lowered interest of investors towards green certified buildings due to their higher initial costs. Similarly, it is essential to fetch investor's attention towards more development of green buildings through automated tools for the construction projects. Though, historical dearth is found on the automation of green building rating tools that brings up an essential gap to develop an automated analog computerized programming tool. This paper present a proposed research aim to develop an integrated web-based automated analog computerized programming that applies green building rating assessment tool, green technology and life cycle cost analysis. It also emphasizes to identify variables of MyCrest and LCC to be integrated and developed in a framework then transformed into automated analog computerized programming. A mix methodology of qualitative and quantitative survey and its development portray the planned to carry MyCrest-LCC integration to an automated level. In this study, the preliminary literature review enriches better understanding of Green Building Rating Tools (GBRT) integration to LCC. The outcome of this research is a pave way for future researchers to integrate other efficient tool and parameters that contributes towards green buildings and future agendas.