| description abstract | The need to maintain an ever-increasing building stock especially in developed economies is growing. This study provides a computational framework to find the optimal solution for sustainable building maintenance. The methodology is composed of two major steps. First, the authors evaluate the life-cycle carbon emission, cost, and labor requirements of a project, which embody important environmental, economic, and social aspects of sustainable building maintenance. Second, the authors develop an optimization model to identify the optimal portfolio of materials that would minimize three sustainability objectives including carbon emission, cost, and labor deployment in their respective turns one at a time. By testing the model with seven scenarios in a case study, the authors demonstrate how this typical case project could significantly improve its sustainability objectives from environmental, economic, and social perspectives. This optimization methodology is generic. It can be readily applied to other new and nonresidential projects of varying scales and in circumstances with a different set of decision criteria. Finally, policy suggestions are proposed to promote sustainable building maintenance in Hong Kong. | |
