P
P. Lee
Researcher at Hong Kong Polytechnic University
Publications - 8
Citations - 202
P. Lee is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Water chiller & Building energy simulation. The author has an hindex of 5, co-authored 8 publications receiving 156 citations.
Papers
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Journal ArticleDOI
Risks in Energy Performance Contracting (EPC) projects
TL;DR: In this paper, the authors investigate the hosts' concerns on the use of EPC, as well as propose practical measures to enhance the wider adoption of energy performance contracting (EPC).
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Probabilistic risk assessment of the energy saving shortfall in energy performance contracting projects-A case study.
TL;DR: A simulation-based method to evaluate the probability of energy saving shortfall taking into account the variations in the influential parameters, including weather conditions, occupancy, operating hours, thermostat set-point, etc., during the contract period is proposed.
Journal ArticleDOI
Performance risks of lighting retrofit in Energy Performance Contracting projects
P. Lee,Pti Lam,Wai Ling Lee +2 more
TL;DR: A proposed probabilistic approach to evaluate the performance risks of common lighting retrofit measures such as replacement of existing lighting, installation of daylight-linked lighting controls and occupancy-based controls based on a simplified engineering method is focused on.
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Analysis of an air-cooled chiller replacement project using a probabilistic approach for energy performance contracts
TL;DR: In this article, the authors presented a probabilistic approach to estimate a range of possible energy savings with the associated confidence levels for chiller replacement in existing buildings, taking into account the annual variations in the influential parameters affecting energy savings.
Journal ArticleDOI
Bayesian method for HVAC plant sensor fault detection and diagnosis
TL;DR: The theoretical basis of the model is outlined, and explanations are given for the superior performance of the Bayesian method in handling cases with data that cannot fully cover the required range of operating chiller patterns.