This is a reasonable response to widely varying clothing styles because we know that occupants in general are more likely to adjust their clothing in response to changing thermal conditions as opposed to keeping them constant (Schiavon and Lee 2013). However, in K-12 environments this is complicated by socio-economic status (perhaps more so than in other environments) because low SES students may not have the financial resources to obtain multiple layers of clothing. In addition, energy models commonly assume a clothing insulation value of 0.5 clo for the cooling season and 1.0 clo for the heating season, with an abrupt change from one to the other as the seasons transition. But we know that clothing is not constant (and can be highly variable among the building population). Studies (Lee et al. 2013; Lee and Schiavon 2013; and Schiavon and Lee 2012, 2013) have shown that energy models making use of more dynamic models of clothing insulation result in improved thermal comfort, smaller HVAC equipment sizes and lower energy consumption.
References
Harmon, M. (2012) Creating Environments that Promote Efficiency and Sustainability: Anthropological Applications in the Building/Construction Industry. Proceedings from the 2012 ACEEE Summer Study on Energy Efficiency in Buildings, pp 7-75 - 7-87, http://www.aceee.org/files/proceedings/2012/start.htm.
Lee, J., H. Zhang and E. Arens (2013) Typical Clothing Ensemble Insulation Levels for Sixteen Body Parts. Indoor Environmental Quality (IEQ), Center for the Built Environment, Center for Environmental Design Research, UC Berkeley, http://escholarship.org/uc/item/18f0r375.
Lee, K. H. and S. Schiavon (2013) Influence of Two Dynamic Predictive Clothing Insulation Models on Building Energy Performance. Indoor Environmental Quality (IEQ), Center for the Built Environment, Center for Environmental Design Research, UC Berkeley, http://escholarship.org/uc/item/8sx4w8mn.
Schiavon, S. and K. H. Lee (2012) Dynamic Predictive Clothing Insulation Models Based on Outdoor Air and Indoor Operative Temperatures. Indoor Environmental Quality (IEQ), Center for the Built Environment, Center for Environmental, Design Research, UC Berkeley, http://escholarship.org/uc/item/3338m9qf.
Schiavon, S. and K. H. Lee (2013) Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort. HVAC Systems, Center for the Built Environment, Center for Environmental Design Research, UC Berkeley http://escholarship.org/uc/item/3sx6n876.
Because the varying insulative properties of clothing also affect thermal comfort, when a large segment of the facility population has a wide range of clothing styles subject to frequent changes, handloom cotton bed sheets online , bridal bed sheet design ideas it becomes more difficult to maximize thermal comfort. One potential means of addressing this beyond the building itself, is to encourage everyone to keep layers of clothing available.
ReplyDelete