![Shuangyu Wei BEng, PhD](https://profiles-cardiff.imgix.net/attachments/5832?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Shuangyu Wei
(hi/ei)
BEng, PhD
Timau a rolau for Shuangyu Wei
Darlithydd mewn Adeiladu Mega Cynaliadwy a Chydymaith Ymchwil Ôl-doc
Trosolwg
Rwy'n Gydymaith Ymchwil Ôl-ddoethurol yn y grŵp Ynni, Yr Amgylchedd a Phobl (EEP) ac yn Ddarlithydd mewn Ffiseg Adeiladu yn Ysgol Pensaernïaeth Cymru (WSA). Gyda PhD mewn Technoleg Adeiladu a BEng (Anrh) mewn Peirianneg Amgylchedd Pensaernïol o Brifysgol Nottingham, y DU, mae fy ymchwil yn canolbwyntio ar groestoriad amgylcheddau adeiledig cynaliadwy, technolegau adeiladu deallus, ac atebion hinsawdd sy'n canolbwyntio ar y gymuned i gyflawni nodau sero-net a chefnogi cymunedau ffyniannus.
Ar hyn o bryd, rwy'n gweithio ar brosiect a ariennir gan Ymddiriedolaeth Leverhulme, Ysgolion fel Labordai Byw, gan ganolbwyntio ar gysylltu astudiaethau perfformiad adeiladu â dysgu ymarferol i blant i lunio eu hamgylchedd a strategaethau cydgynhyrchu i'w wella. Yn flaenorol, roeddwn i'n gweithio ar y prosiect a ariennir gan yr AHRC, Platfform Mapiau Agored Cymunedol (COMP) ar gyfer Cenedlaethau'r Dyfodol: Siartio'r Trawsnewidiad Gwyrdd ar Ynys Môn, canolbwyntio ar ymchwilio a mapio ansawdd aer. Trwy ymgysylltu â phlant ysgol mewn monitro ansawdd aer a dehongli data, cododd y gwaith cydweithredol hwn ymwybyddiaeth amgylcheddol wrth gynhyrchu mewnwelediadau gweithredadwy ar gyfer cymunedau iachach.
Yn ystod fy PhD, datblygais ddull dysgu dwfn newydd sy'n seiliedig ar weledigaeth gyfrifiadurol ar gyfer amcangyfrif allyriadau gwres offer mewn adeiladau. Mae hyn yn galluogi rheolaeth addasol o systemau rheoli adeiladau, gwella effeithlonrwydd ynni, cysur thermol, ac ansawdd amgylcheddol dan do.
Rwyf wedi cyhoeddi dros 20 o bapurau a adolygwyd gan gymheiriaid mewn cyfnodolion fel Applied Energy, Journal of Building Engineering, Building and Environment, a Journal of Environmental Management.
Cyhoeddiad
2026
- Wei, S. et al. 2026. Personal air pollution exposure assessment with schoolchildren in rural Wales. Journal of Environmental Management 397 128291. (10.1016/j.jenvman.2025.128291)
2025
- Suman, S. et al., 2025. Assessing the energy-saving potential of passive strategies in commercial buildings in the top upcoming megacities. Energy Catalyst 1 (10.61552/ec.2025.001)
2024
- Zhang, W. et al., 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98 111355. (10.1016/j.jobe.2024.111355)
- Wei, S. et al. 2024. DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces. Journal of Building Engineering 84 108530. (10.1016/j.jobe.2024.108530)
- Wei, Z. et al., 2024. Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. Building and Environment 253 111277. (10.1016/j.buildenv.2024.111277)
2023
- Wang, Z. et al., 2023. An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings 285 112899. (10.1016/j.enbuild.2023.112899)
2022
- Tien, P. W. et al., 2022. Enhancing the detection performance of a vision-based window opening detector. Cleaner Energy Systems 3 100038. (10.1016/j.cles.2022.100038)
- Pincott, J. et al., 2022. Indoor fire detection utilizing computer vision-based strategies. Journal of Building Engineering 61 105154. (10.1016/j.jobe.2022.105154)
- Tien, P. W. et al., 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10 100198. (10.1016/j.egyai.2022.100198)
- Wei, S. et al. 2022. Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering 56 104715. (10.1016/j.jobe.2022.104715)
- Wang, Z. et al., 2022. Real-time building heat gains prediction and optimization of HVAC setpoint: an integrated framework. Journal of Building Engineering 49 104103. (10.1016/j.jobe.2022.104103)
- Wei, S. et al. 2022. A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. Journal of Building Engineering 47 103778. (10.1016/j.jobe.2021.103778)
- Tien, P. W. et al., 2022. Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand. Applied Energy 308 118336. (10.1016/j.apenergy.2021.118336)
2021
- Tien, P. W. et al., 2021. A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand. Renewable Energy 177 , pp.603-625. (10.1016/j.renene.2021.05.155)
- Wei, S. and Calautit, J. 2021. Development of deep learning-based equipment heat load detection for energy demand estimation and investigation of the impact of illumination. International Journal of Energy Research 45 (5), pp.7204-7221. (10.1002/er.6306)
2020
- Tien, P. W. , Wei, S. and Calautit, J. 2020. A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand. Energies 14 (1) 156. (10.3390/en14010156)
- Calautit, J. K. et al., 2020. Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis. Renewable Energy 160 , pp.465-482. (10.1016/j.renene.2020.05.177)
- Tien, P. W. et al., 2020. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Energy and Buildings 226 110386. (10.1016/j.enbuild.2020.110386)
- Wei, S. et al. 2020. Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method. Applied Energy 277 115506. (10.1016/j.apenergy.2020.115506)
- Shahzad, S. et al., 2020. Analysis of the thermal comfort and energy performance of a thermal chair for open plan office. Journal of Sustainable Development of Energy, Water and Environment Systems 8 (2), pp.373-395. (10.13044/j.sdewes.d7.0298)
Erthyglau
- Wei, S. et al. 2026. Personal air pollution exposure assessment with schoolchildren in rural Wales. Journal of Environmental Management 397 128291. (10.1016/j.jenvman.2025.128291)
- Suman, S. et al., 2025. Assessing the energy-saving potential of passive strategies in commercial buildings in the top upcoming megacities. Energy Catalyst 1 (10.61552/ec.2025.001)
- Zhang, W. et al., 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98 111355. (10.1016/j.jobe.2024.111355)
- Wei, S. et al. 2024. DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces. Journal of Building Engineering 84 108530. (10.1016/j.jobe.2024.108530)
- Wei, Z. et al., 2024. Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. Building and Environment 253 111277. (10.1016/j.buildenv.2024.111277)
- Wang, Z. et al., 2023. An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings 285 112899. (10.1016/j.enbuild.2023.112899)
- Tien, P. W. et al., 2022. Enhancing the detection performance of a vision-based window opening detector. Cleaner Energy Systems 3 100038. (10.1016/j.cles.2022.100038)
- Pincott, J. et al., 2022. Indoor fire detection utilizing computer vision-based strategies. Journal of Building Engineering 61 105154. (10.1016/j.jobe.2022.105154)
- Tien, P. W. et al., 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10 100198. (10.1016/j.egyai.2022.100198)
- Wei, S. et al. 2022. Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering 56 104715. (10.1016/j.jobe.2022.104715)
- Wang, Z. et al., 2022. Real-time building heat gains prediction and optimization of HVAC setpoint: an integrated framework. Journal of Building Engineering 49 104103. (10.1016/j.jobe.2022.104103)
- Wei, S. et al. 2022. A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. Journal of Building Engineering 47 103778. (10.1016/j.jobe.2021.103778)
- Tien, P. W. et al., 2022. Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand. Applied Energy 308 118336. (10.1016/j.apenergy.2021.118336)
- Tien, P. W. et al., 2021. A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand. Renewable Energy 177 , pp.603-625. (10.1016/j.renene.2021.05.155)
- Wei, S. and Calautit, J. 2021. Development of deep learning-based equipment heat load detection for energy demand estimation and investigation of the impact of illumination. International Journal of Energy Research 45 (5), pp.7204-7221. (10.1002/er.6306)
- Tien, P. W. , Wei, S. and Calautit, J. 2020. A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand. Energies 14 (1) 156. (10.3390/en14010156)
- Calautit, J. K. et al., 2020. Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis. Renewable Energy 160 , pp.465-482. (10.1016/j.renene.2020.05.177)
- Tien, P. W. et al., 2020. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Energy and Buildings 226 110386. (10.1016/j.enbuild.2020.110386)
- Wei, S. et al. 2020. Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method. Applied Energy 277 115506. (10.1016/j.apenergy.2020.115506)
- Shahzad, S. et al., 2020. Analysis of the thermal comfort and energy performance of a thermal chair for open plan office. Journal of Sustainable Development of Energy, Water and Environment Systems 8 (2), pp.373-395. (10.13044/j.sdewes.d7.0298)
Ymchwil
Diddordebau Ymchwil:
- Adeiladu clyfar a synhwyro clyfar gan ddefnyddio gweledigaeth gyfrifiadurol
- Astudio rhyngweithiadau preswylwyr-adeiladu i lywio dyluniadau dynol-ganolog
- Dulliau cyfranogol a dulliau gwyddorau cymdeithasol mewn monitro amgylcheddol a gwneud penderfyniadau
- Strategaethau balacing air quaity, comfort, and energy use in buildings with behavioural considerations
- Ansawdd amgylcheddol dan do a pherfformiad ynni
Addysgu
Darlithoedd, tiwtorialau, a gweithgareddau addysgu eraill mewn rhaglenni:
- MSc Cysur Hinsawdd ac Ynni
- MSc Trosolwg o Mega-Adeiladau Cynaliadwy
- MSc Systemau Gwasanaeth Cynaliadwy ar gyfer Mega-Adeiladau
- MSc Dylunio Mega-Adeiladau Cynaliadwy