Stanford CIFE 2014 Funding Candidate Proposal
Energy costs represent about 20% of total operating expenditures for office buildings.
Our case studies of more than fifty buildings have demonstrated that savings of up to 54% are achievable with very little capital investment and little to no distraction for building occupants. As with any mechanical system, building systems performance decline with time and require regular maintenance to work as expected. However, there is no established literature on optimal maintenance strategy based on real performance data from real world projects. Using performance and asset data from our industry partners, we propose to examine the impacts of building systems maintenance on building performance. Additionally, we will identify processes by which the design and construction phases of the project can contribute to implementing optimal facility maintenance strategies.
As a goal of the study, we will compile a set of best practices for asset management and building systems management to maximize occupant comfort and energy efficiency while minimizing costs of operating the system.
Data Mining, Business Intelligence 