Academic Profile : Faculty
Assoc Prof Wan Man Pun
Associate Professor, School of Mechanical & Aerospace Engineering
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Dr. Wan is currently Associate Chair (Research) and Associate Professor in the School of Mechanical & Aerospace Engineering at Nanyang Technological University. Prior to joining NTU, he was an Assistant Professor of Mechanical Engineering at Kyungpook National University, Korea. His research interests cover aerosol sciences, building energy, smart buildings, indoor environmental quality, catalytic oxidation systems and numerical simulations. Dr. Wan led numerous government- and industry-funded research projects ranging from fundamental studies of fundamental thermos-fluids sciences, aerosol sciences and impacts of indoor environmental quality on occupant cognitive function. He has also been working on development of novel green building technologies such as high-performance Cool materials for buildings and pavements, advanced building control and automation systems, integrated dimmable lighting and dynamic shading system, chilled ceiling system and other technologies for energy efficiency and occupant well-being. Dr. Wan has published over 100 international refereed journal and conference articles and is inventor of 3 patents. He is a member of American Society of Mechanical Engineers (ASME), American Chemical Society (ACS) and American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE).
Prof Wan's areas of expertise are sustainable urban and built environment, indoor environmental quality and aerosol science. His current research works focus on cool materials for urban cooling and urban heat island (UHI) effect mitigation, smart building control and indoor environmental quality.
- A Predictive Control for Real-time Dynamic Optimisation of Building ACMV
- Advanced Building Automation Control system using Model Predictive Control (MPC) for optimising building energy efficiency and occupant comfort
- Advanced Cloud based Real-Time Cost Optimization Tool using Cascaded Predictive Approach in a Digital Twin
- Deriving Energy Savings from Particle Separation in Industrial Plants through Acoustics Pre-conditioning
- Full-scale fire testing to validate simulations for (a) integrated active systems and (b) structural system for underground buildings (PI: Wan Man Pun)
US 2022/0113688 A1: Method And Control System For Controlling Building Service Systems (2024)
Abstract: A method of controlling building service systems associated with a building for optimizing a plurality of building performance parameters with respect to a region of the building, the building service systems including an air-conditioning and/or heating system, a lighting system and a shading system, is provided. The method includes predicting, based on a shading and lighting prediction model, a visual comfort condition and a lighting condition with respect to the region of the building; optimizing, based on a first multi-component cost function including a plurality of components relating to a plurality of lighting or thermal performance parameters with respect to the region of the building, one or more first control parameters for controlling the lighting system and the shading system based on the predicted visual comfort condition and the predicted lighting condition; predicting, based on a building dynamics model, a plurality of building response parameters based on the predicted visual comfort condition and the predicted lighting condition associated with the region of the building; optimizing, based on a second multi-component cost function including a plurality of components relating to the plurality of building performance parameters, one or more second control parameters for controlling the air-conditioning and/or heating system based on the predicted plurality of building response parameters.
Abstract: A method of controlling building service systems associated with a building for optimizing a plurality of building performance parameters with respect to a region of the building, the building service systems including an air-conditioning and/or heating system, a lighting system and a shading system, is provided. The method includes predicting, based on a shading and lighting prediction model, a visual comfort condition and a lighting condition with respect to the region of the building; optimizing, based on a first multi-component cost function including a plurality of components relating to a plurality of lighting or thermal performance parameters with respect to the region of the building, one or more first control parameters for controlling the lighting system and the shading system based on the predicted visual comfort condition and the predicted lighting condition; predicting, based on a building dynamics model, a plurality of building response parameters based on the predicted visual comfort condition and the predicted lighting condition associated with the region of the building; optimizing, based on a second multi-component cost function including a plurality of components relating to the plurality of building performance parameters, one or more second control parameters for controlling the air-conditioning and/or heating system based on the predicted plurality of building response parameters.
Awards
Prestigious Engineering Achievement Awards, Institute of Engineers Singapore (2017)
MND Minister's Award (Team), Ministry of National Development Singapore (2017)
MND Minister's Award (Team), Ministry of National Development Singapore (2017)
Courses Taught
MA4813 Building Services Engineering
Supervision of PhD Students
Mr Teo Seow Hian
Mr Long Yongping
Mr Long Yongping