Academic Profile : Faculty
Assoc Prof Ng Bing Feng
Associate Professor, School of Mechanical & Aerospace Engineering
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Please refer to research group website through link above or https://blogs.ntu.edu.sg/ngbf/ for latest updates
Bing Feng is Associate Professor with the School of Mechanical and Aerospace Engineering at Nanyang Technological University. He is also Cluster Director (Smart & Sustainable Building Technologies) at the Energy Research Institute @ NTU (ERI@N). He received his PhD from Imperial College London, United Kingdom and BEng(Hons) from Nanyang Technological University, Singapore.
Bing Feng is Associate Professor with the School of Mechanical and Aerospace Engineering at Nanyang Technological University. He is also Cluster Director (Smart & Sustainable Building Technologies) at the Energy Research Institute @ NTU (ERI@N). He received his PhD from Imperial College London, United Kingdom and BEng(Hons) from Nanyang Technological University, Singapore.
Aero (Fluids and Structures), Energy (Passive Radiative Cooling, Building and Wind Energy Systems), Environment (Aerosols and Particulate Matter Conditioning)
- Deriving Energy Savings from Particle Separation in Industrial Plants through Acoustics Pre-conditioning
- Nanyang Education Award (College)_Ng Bing Feng
- 3D PRINTING OF ELECTRO-ADHESIVE WALL CLIMBING ROBOTS
- Test-bedding the effects of radiative cool coatings on Urban heat island and performances with Solar PV
- Integration of Physics and Artificial-Intelligence: Deriving synergies to Capture Aeroelastic Phenomenon
- WP 1.3, 3.1 - Development of Electric Vertical Take-Off and Landing (eVTOL) Aircraft in Singapore
- A High-performance Flapping Micro Aerial Vehicle: Lightweight Actuation, Aeroelastic Wing Structures, and Optimized Flapping Kinematics
- Development of Electric Vertical Take-Off and Landing (eVTOL) Aircraft in Singapore
- Application of Acoustic Agglomeration for Enhanced Particle Filtration Efficiency in Industrial Exhaust
- Bioinspired Polymeric Structures for Efficient Passive Radiative Cooling (BIOCOOL)
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.
Courses Taught
MA1700 - Aerospace Discover Course
MA1701 - Introduction to Aerospace Engineering
MA2001 - Mechanics of Materials
MA2079 - Engineering Innovation and Design
MA3072 - Engineering Experiments
MA4704 - Aeroelasticity
MA4819 - Energy Tech for Sustainability
MA1701 - Introduction to Aerospace Engineering
MA2001 - Mechanics of Materials
MA2079 - Engineering Innovation and Design
MA3072 - Engineering Experiments
MA4704 - Aeroelasticity
MA4819 - Energy Tech for Sustainability