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Central heating thermostat settings and timing: building demographics
Crucial empirical data (currently absent in building energy models) on central heating demand temperatures and durations are presented. These data are derived from the first national survey of energy use in English homes and includes monitored temperatures in living rooms, central heating settings reported by participants, along with building, technical, and behavioural data. The results are compared with model assumptions with respect to thermostat settings and heating durations. Contrary to assumptions, the use of controls did not reduce average maximum living room temperatures or the duration of operation. Regulations, policies, and programmes may need to revise their assumptions that adding controls will reduce energy use. Alternative forms of heating control should be developed and tested to ascertain whether their use saves energy in real-world settings. Given the finding that detached houses are heated for longer, these dwellings should be particularly targeted in energy-efficiency retrofit programmes. Furthermore, social marketing programmes could use the wide variation in thermostat settings as the foundation of a 'social norm' programme aimed at reducing temperatures in 'overheated' homes. Finally, building energy models that inform energy policies require firmer foundations in real-world data to improve policy effectiveness. Greater coordination of data collection and management would make more data available for this purpose.
Central heating thermostat settings and timing: building demographics
Crucial empirical data (currently absent in building energy models) on central heating demand temperatures and durations are presented. These data are derived from the first national survey of energy use in English homes and includes monitored temperatures in living rooms, central heating settings reported by participants, along with building, technical, and behavioural data. The results are compared with model assumptions with respect to thermostat settings and heating durations. Contrary to assumptions, the use of controls did not reduce average maximum living room temperatures or the duration of operation. Regulations, policies, and programmes may need to revise their assumptions that adding controls will reduce energy use. Alternative forms of heating control should be developed and tested to ascertain whether their use saves energy in real-world settings. Given the finding that detached houses are heated for longer, these dwellings should be particularly targeted in energy-efficiency retrofit programmes. Furthermore, social marketing programmes could use the wide variation in thermostat settings as the foundation of a 'social norm' programme aimed at reducing temperatures in 'overheated' homes. Finally, building energy models that inform energy policies require firmer foundations in real-world data to improve policy effectiveness. Greater coordination of data collection and management would make more data available for this purpose.
Central heating thermostat settings and timing: building demographics
Shipworth, M (author) / Firth, SK (author) / Gentry, MI (author) / Wright, AJ (author) / Shipworth, DT (author) / Lomas, KJ (author)
2010-01-01
Building Research and Information , 38 (1) 50 - 69. (2010)
Article (Journal)
Electronic Resource
English
DDC:
690
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