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Grant Award View - GA28786
Novel multiple-constraint model for green buildings and life-cycle...
GA ID:
GA28786
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
4-Jan-2019 to 31-Dec-2022
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$390,000.00
(GST inclusive where applicable)
Variations:
- GA28786-V4 - Variation to Grant (21-Jun-2022 )
- GA28786-V3 - Variation to Grant (20-Oct-2021 )
- GA28786-V2 - Variation to Grant (2-Aug-2021 )
- GA28786-V1 - Variation to Grant (12-May-2020 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Novel multiple-constraint model for green buildings and life-cycle analyses
Purpose:
This project aims to develop a multiple-constraint automation model to perform life-cycle analyses for projects in the Australian construction industry. The model will optimise construction methods for green-building implementation and offer a realistic approach to Green-star status achievement. The Life-cycle model analyses for cost, greenhouse-gas emissions and energy consumption allowing the construction methods to be optimised for minimum environmental impact. Utilisation of the model should significantly shape an organisations’ strategic planning, while a recognised high Green-star status from Green Building Council of Australia will improve their reputation and bring benefits to the construction industry.
GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Western Sydney University
Recipient ABN:
53 014 069 881
Grant Recipient Location
Suburb:
RICHMOND
Town/City:
RICHMOND
Postcode:
2753
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2753
Country:
AUSTRALIA