Project OP1: A Life-Cycle Cost Model for Green Commercial Office Buildings with Optimal Green Star Credits

PhD Candidate
Ms. I. M. Chethana S. Illankoon
Chair Supervisor Co-Supervisor Co-Supervisor
Dr. Khoa N. Le Prof. Vivian W.Y. Tam Prof. Liyin Shen

Green building is a widely discussed topic worldwide as a solution to the increasing adverse impact on the environment. This paradigm shift from conventional buildings to green buildings expected to bring environmental, social and economic benefits. However, green building implementation is adversely affected by the initial cost premium. Therefore, there is a clear need to look into the initial stages of green building development regarding life-cycle impacts considering the massive saving in energy, water and so on. Selecting inappropriate technologies in initial decision making stages can be cheaper, but more importantly, it may preclude the life-cycle savings and desired outcomes of green buildings. In order to help the initial decision-makers with the selection of credit points considering the life-cycle cost of the green building, this research developed a life-cycle cost model that incorporates constraints of the developers while maximising the number of credits points achieved in using Green Star Design and As-Built version 1.1 rating tool.

Life-cycle cost is calculated based on ‘Building and construction assets – service life planning – Part 5: Life-cycle costing standard’ published by the International Organisation for Standards (ISO) considering six main central business districts (CBDs) of Australia. The net present value (NPV) technique is used to calculate life-cycle costs. Further, a sensitivity analysis is also carried out for selected credits to identify the changes to life-cycle cost to the changes in discount rate. Once all the life-cycle cost data is calculated, the proposed model was developed.
The proposed model is developed considering a set of rules for exclusions, selections, and inter-dependencies. It initially collects user information and user constraints. Based on the user information, the model provides customised solutions to the users. The user can define the discount rate and even select the regional areas, and based on that information, the life-cycle cost is calculated by the proposed model. The user constraints select or eliminate credits, consider inter-dependencies, and calculate the optimum solutions for a specific green certification level. This model can provide optimum solutions for four-star or five-star certification levels considering Green Star rating.

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Refereed Journal Publications

Refereed Conference Paper Publication