TY - CONF
T1 - Role of occupancy and indoor temperature on energy efficiency of tiny housing
AU - Satheesan, Manoj Kumar
AU - Mui, Kwok Wai
AU - Wong, Ling Tim
N1 - Funding Information:
This research was jointly supported by a grant from the Collaborative Research Fund (CRF) COVID-19 and Novel Infectious Disease (NID) Research Exercise, and General Research Fund (GRF), Research Grants Council of the Hong Kong Special Administrative Region, China and Research Institute for Smart Energy (RISE), The Hong Kong Polytechnic University (Project nos. PolyU P0033675/C5108-20G, PolyU P0005278/152088/17E, PolyU P0038532).
Publisher Copyright:
© 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - With focus on urbanization, population, and sustainable housing, tiny house movement have gained momentum in recent years. In high-density populated regions such as Hong Kong, nonexistence of standards on minimum amount of living space per capita and chronic housing shortage have led to rise in tiny residential units with size less than 18m2. As we perceive a future in tiny affordable homes, it is necessary to implement strategies that make it more sustainable. This study utilizes a hybrid model that integrates the physical simulation method with data driven approaches to comprehend key relationships within buildings physical configuration, material specifications and operational conditions to recommend energy saving strategies at a minimal time compared to conventional energy estimation approaches. The study results indicate that establishing a minimum area per occupant along with indoor set-point temperature control can be decisive factors in reducing the annual cooling energy consumption of tiny residential units.
AB - With focus on urbanization, population, and sustainable housing, tiny house movement have gained momentum in recent years. In high-density populated regions such as Hong Kong, nonexistence of standards on minimum amount of living space per capita and chronic housing shortage have led to rise in tiny residential units with size less than 18m2. As we perceive a future in tiny affordable homes, it is necessary to implement strategies that make it more sustainable. This study utilizes a hybrid model that integrates the physical simulation method with data driven approaches to comprehend key relationships within buildings physical configuration, material specifications and operational conditions to recommend energy saving strategies at a minimal time compared to conventional energy estimation approaches. The study results indicate that establishing a minimum area per occupant along with indoor set-point temperature control can be decisive factors in reducing the annual cooling energy consumption of tiny residential units.
KW - Climate change
KW - Cooling energy prediction
KW - Flat size
KW - Hybrid simulation approach
KW - Occupant density
UR - http://www.scopus.com/inward/record.url?scp=85159191732&partnerID=8YFLogxK
M3 - Conference presentation (not published in journal/proceeding/book)
AN - SCOPUS:85159191732
T2 - 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
Y2 - 12 June 2022 through 16 June 2022
ER -