Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China

Abstract All existing thermal comfort standards are applicable to naturally ventilated buildings and air-conditioned buildings, except mixed-mode buildings. Split air-conditioned buildings, as a type of mixed-mode buildings, account for a large proportion of current buildings. It is urgent to explore the applicability of thermal comfort standards and determine the energy saving potential in split air-conditioned buildings. In this research, the authors conducted a field study in Changsha, China. Eleven split air-conditioned office buildings were investigated from July to September 2016. 442 valid data sets were obtained. The results indicated that occupants preferred a “cooler” temperature of 26 °C, 0.6°Clower than neutral temperature of 26.7 °C. Occupants have adapted to thermal environment and accepted higher temperature than that predicted by PPD. 95% of occupants were satisfied with the thermal environment. Compared to PMV model, the adaptive model was more applicable to split air-conditioned buildings. 8.6% of cooling energy could be conserved during summer in split air-conditioned buildings.

[1]  Richard de Dear,et al.  Field study of mixed-mode office buildings in Southern Brazil using an adaptive thermal comfort framework , 2018 .

[2]  Ryozo Ooka,et al.  Study on adaptive thermal comfort in Japanese offices under various operation modes , 2017 .

[3]  Ruey Lung Hwang,et al.  Field experiments on thermal comfort in campus classrooms in Taiwan , 2006 .

[4]  China Road Map for Building Energy Conservation , 2013 .

[5]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[6]  Mao Ning,et al.  Evaluating Effects of Building Envelope Thermal Loads on Energy use and Thermal Comfort for a Bedroom TAC System , 2017 .

[7]  António E. Ruano,et al.  Neural networks based predictive control for thermal comfort and energy savings in public buildings , 2012 .

[8]  Liwei Tian,et al.  Field study on occupants’ thermal comfort and residential thermal environment in a hot-humid climate of China , 2007 .

[9]  Gail Brager,et al.  Operable windows, personal control and occupant comfort. , 2004 .

[10]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[11]  S. Tanabe,et al.  Thermal comfort and productivity in offices under mandatory electricity savings after the Great East Japan earthquake , 2012 .

[12]  Richard de Dear,et al.  Mixed-mode buildings: A double standard in occupants’ comfort expectations , 2012 .

[13]  Zhe Zhang,et al.  A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings , 2018, Energy and Buildings.

[14]  Noor Hanita Abdul Majid,et al.  Field Survey of Air Conditioner Temperature Settings in Hot, Humid Climates, Part 1: Questionnaire Results on Use of Air Conditioners in Houses During Sleep , 2013 .

[15]  Sheikh Ahmad Zaki,et al.  Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore, and Japan during hot and humid season , 2016 .

[16]  Wang Sheng,et al.  Thermal comfort model analysis and optimization performance evaluation of a multifunctional ice storage air conditioning system in a confined mine refuge chamber , 2017 .

[17]  Haijiao Cui,et al.  Adaptive thermal comfort in naturally ventilated dormitory buildings in Changsha, China , 2019, Energy and Buildings.

[18]  Hom B. Rijal,et al.  Towards an adaptive model for thermal comfort in Japanese offices , 2017 .

[19]  Sheikh Ahmad Zaki,et al.  Adaptive thermal comfort in university classrooms in Malaysia and Japan , 2017 .

[20]  Nathan Mendes,et al.  Predictive controllers for thermal comfort optimization and energy savings , 2008 .

[21]  H. Rijal,et al.  Seasonal and regional differences in neutral temperatures in Nepalese traditional vernacular houses , 2010 .

[22]  Mohamed Sukri Mat Ali,et al.  Thermal comfort and occupant adaptive behaviour in Japanese university buildings with free running and cooling mode offices during summer , 2016 .

[23]  T. Olofsson,et al.  Temporarily occupied space with metabolic-rate-initiated thermal overshoots—A case study in railway stations in transition seasons , 2017 .

[24]  Michael A. Humphreys,et al.  Updating the adaptive relation between climate and comfort indoors; new insights and an extended database , 2013 .

[25]  Qinglin Meng,et al.  Thermal comfort in buildings with split air-conditioners in hot-humid area of China , 2013 .

[26]  Tzu-Ping Lin,et al.  Thermal perceptions, general adaptation methods and occupant's idea about the trade-off between thermal comfort and energy saving in hot–humid regions , 2009 .

[27]  H. Rijal,et al.  Thermal comfort in offices in India: Behavioral adaptation and the effect of age and gender , 2015 .

[28]  Jinqing Peng,et al.  Using Upper Extremity Skin Temperatures to Assess Thermal Comfort in Office Buildings in Changsha, China , 2017, International journal of environmental research and public health.

[29]  S. Roaf,et al.  A survey of thermal comfort in Pakistan toward new indoor temperature standards. , 1994 .

[30]  Zhaojun Wang,et al.  Thermal history and adaptation: Does a long-term indoor thermal exposure impact human thermal adaptability? , 2016 .

[31]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[32]  Xiwang Li,et al.  Using an ensemble machine learning methodology-Bagging to predict occupants’ thermal comfort in buildings , 2018, Energy and Buildings.

[33]  Joseph Andrew Clarke,et al.  Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings , 2008 .

[34]  Liu Yang,et al.  Thermal comfort and building energy consumption implications - A review , 2014 .

[35]  Roberto Lamberts,et al.  Thermal comfort in office buildings: Findings from a field study in mixed-mode and fully-air conditioning environments under humid subtropical conditions , 2017 .

[36]  Ryozo Ooka,et al.  Adaptive thermal comfort in the offices of North-East India in autumn season , 2017 .

[37]  Pablo Aparicio-Ruiz,et al.  Field study on adaptive thermal comfort in mixed mode office buildings in southwestern area of Spain , 2017 .