ORCID Profile
0000-0003-2168-9057
Current Organisations
The Chinese University of Hong Kong
,
The Hong Kong Polytechnic University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Building Science and Techniques | Building |
Solar-Photovoltaic Energy | Residential Building Management and Services
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 09-2012
Publisher: Elsevier BV
Date: 08-2011
Publisher: Elsevier BV
Date: 06-2016
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 2020
Publisher: No publisher found
Publisher: Elsevier BV
Date: 08-2011
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 2021
Publisher: MDPI AG
Date: 28-11-2021
DOI: 10.3390/BUILDINGS11120591
Abstract: Thermal comfort and indoor air quality (IAQ) of educational buildings can affect students’ academic performance and well-being and are closely related to ventilation energy consumption. Demands of the indoor environmental quality within the classroom generally vary with the education levels and result in ventilation energy consumption accounting for a considerable proportion of the total energy use in bulk educational buildings. Its huge energy-saving potential is attracting worldwide attention from scholars and governments. Therefore, appropriate operation strategies of ventilation systems should be adopted to effectively reduce energy consumption without sacrificing thermal comfort and IAQ. However, the absence of relevant standards and guidelines for designing a quality classroom environment considering the special features of educational buildings remains an important research question. This study conducts a comprehensive review to determine research gaps and identify future directions for the interaction between thermal comfort, IAQ and ventilation energy consumption for educational buildings. The review results show that: (1) The thermal comfort prediction model should consider the influences of genders, ages and socioeconomic backgrounds (2) The mixed-mode ventilation coupling the natural and mechanical approaches is preferred given its advantage of lower energy consumption and improved thermal comfort, but its control strategies need further exploration (3) Optimizing passive design parameters of buildings (e.g., window to wall ratios, window orientations and sun shading installations) can significantly reduce the ventilation demands while maintaining indoor thermal comfort (4) More studies are required for investigating thermal comfort in educational buildings during the heating period and (5) IAQ of university buildings clearly requires further studies, especially on bacterial and fungal aerosol pollutants, for a more comprehensive assessment of the built environment.
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 05-2019
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 05-2019
Publisher: Springer Singapore
Date: 2020
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 11-2022
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: MDPI AG
Date: 12-12-2021
DOI: 10.3390/BUILDINGS11120642
Abstract: Reducing the lifecycle energy use of buildings with renewable energy applications has become critical given the urgent need to decarbonize the building sector. Multi-objective optimizations have been widely applied to reduce the operational energy use of buildings, but limited studies concern the embodied or whole lifecycle energy use. Consequently, there are issues such as sub-optimal design solutions and unclear correlation between embodied and operational energy in the current building energy assessment. To address these gaps, this study integrates a multi-objective optimization method with building energy simulation and lifecycle assessment (LCA) to explore the optimal configuration of different building envelopes from a lifecycle perspective. Major contributions of the study include the integrated optimization which reflects the dynamics of the whole lifecycle energy use. Insights from the study reveal the optimal configuration of PV and composite building façades for different regions in sub-Saharan Africa. The lifecycle energy use for the optimized building design resulted in 24.59, 33.33, and 36.93% energy savings in Ghana, Burkina Faso, and Nigeria, respectively. Additionally, PV power generation can efficiently cover over 90% of the total building energy demand. This study provides valuable insights for building designers in sub-Saharan Africa and similar areas that minimize lifecycle energy demand.
Publisher: No publisher found
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 10-2016
Publisher: Elsevier BV
Date: 10-2015
Publisher: MDPI AG
Date: 08-11-2022
DOI: 10.3390/BUILDINGS12111921
Abstract: Thermal comfort (TC) and CO2 concentration significantly influence the overall indoor comfort sensations of building occupants. However, few studies have focused on educational buildings regarding both TC and CO2 concentration in tropical regions, and they also lack guidelines for short-term evaluation, which is essential for university classrooms. In this study, a mechanically ventilated university classroom was selected to investigate the 5 min-averaged comfort ranges for indoor parameters and the impacts of TC and variation of CO2 on student overall comfort. The real-time indoor environmental parameters were monitored, including indoor air temperature (Ta), mean radiant temperature (Tm), relative humidity (RH) and CO2 and air velocity (va) the operative temperature (Top) was calculated. Moreover, an online-based questionnaire survey related to thermal sensation (TS) and CO2-related air sensation (AS) was carried out. Linear and nonlinear regression models of comfort sensation predictions were obtained based on the questionnaires and corresponding measured indoor environmental data. The 5 min-averaged comfort ranges for Top, CO2 and RH are 21.5–23.8 °C, ppm and 47–63.5%, respectively. The comfort range of the TS and AS are 2.3–3.1 and 1–1.55, respectively. The result shows that students prefer a relatively cold indoor environment, as this improves their ability to tolerate bad indoor air quality (IAQ) with high CO2. A regression analysis indicated that AS is the most critical aspect, with a weight of 0.32, followed by TS, with 0.18. Finally, it was also found that in idual weighting coefficients were not equivalent and differed across geographical locations and building types. Thus, obtaining the prediction models for a particular building is necessary. The results can give meaningful suggestions to adopt the appropriate operations for HVAC and improve indoor environmental quality in university buildings in tropical regions.
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 04-2021
Publisher: Elsevier BV
Date: 04-2018
Publisher: No publisher found
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 12-2017
Publisher: No publisher found
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 10-2021
Publisher: No publisher found
Publisher: Elsevier BV
Date: 05-2019
Publisher: No publisher found
Publisher: Elsevier BV
Date: 12-2015
Publisher: No publisher found
Location: United States of America
Start Date: 2021
End Date: 2023
Funder: Research Grants Council, University Grants Committee
View Funded ActivityStart Date: 2021
End Date: 2023
Funder: Research Grants Council, University Grants Committee
View Funded ActivityStart Date: 2020
End Date: 2023
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2021
End Date: 11-2021
Amount: $424,398.00
Funder: Australian Research Council
View Funded Activity