FN Clarivate Analytics Web of Science VR 1.0 PT J AU Wilson, C Dowlatabadi, H AF Wilson, Charlie Dowlatabadi, Hadi TI Models of decision making and residential energy use SO ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES SE Annual Review of Environment and Resources LA English DT Review; Book Chapter DE economics; energy demand; psychology; sociology ID UTILITY CONSERVATION PROGRAMS; ENVIRONMENTAL CONCERN; BEHAVIORAL ECONOMICS; PROSPECT-THEORY; UNITED-STATES; LIFE-STYLE; PSYCHOLOGICAL-RESEARCH; BOUNDED RATIONALITY; PLANNED BEHAVIOR; CARBON EMISSIONS AB Research traditions across the social sciences have explored the drivers of individual behavior and proposed different models of de cision making. Four diverse perspectives are reviewed here: conventional and behavioral economics, technology adoption theory and attitude-based decision making, social and environmental psychology, and sociology. The individual decision models in these traditions differ axiomatically. Some are founded on informed rationality or psychological variables, and others emphasize physical or contextual factors from individual to social scales. Each perspective suggests particular lessons for designing interventions to change behavior. Throughout the review, these lessons are applied to decisions affecting residential energy use. Examples are drawn from both intuitive and reasoning-based types of decision as well as from a range of decision contexts that include capital investments in weatherization and repetitive behaviors such as appliance use. Areas of difference and similarity between various theoretical approaches and their practical implications are highlighted. Conclusions are drawn on how to develop a more integrated approach to both behavioral research and intervention design in a residential energy context. C1 Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V6T 1Z4, Canada. RP Wilson, C (reprint author), Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V6T 1Z4, Canada. 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Rev. Environ. Resour. PY 2007 VL 32 BP 169 EP 203 DI 10.1146/annurev.energy.32.053006.141137 PG 35 WC Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA 236CJ UT WOS:000251280300007 DA 2018-05-03 ER PT J AU Fisk, WJ AF Fisk, WJ TI Health and productivity gains from better indoor environments and their relationship with building energy efficiency SO ANNUAL REVIEW OF ENERGY AND THE ENVIRONMENT LA English DT Review DE economics; health; productivity ID RESPIRATORY-TRACT INFECTIONS; OFFICE WORKERS; UNITED-STATES; TASK-PERFORMANCE; ALLERGIC DISEASE; ECONOMIC COSTS; ASTHMA; CHILDREN; SYMPTOMS; SATISFACTION AB Theoretical considerations and empirical data suggest that existing technologies and procedures can improve indoor environments in a manner that significantly increases productivity and health. The existing literature contains moderate to strong evidence that characteristics of buildings and indoor environments significantly influence rates of communicable respiratory illness, allergy and asthma symptoms, sick building symptoms, and worker performance. Whereas there is considerable uncertainty in the estimates of the magnitudes of productivity gains that may be obtained by providing better indoor environments, the projected gains are very large. For the United States, the estimated potential annual savings and productivity gains are $6 to $14 billion from reduced respiratory disease, $1 to $4 billion from reduced allergies and asthma, $10 to $30 billion from reduced sick building syndrome symptoms, and $20 to $160 billion from direct improvements in worker performance that are unrelated to health. Productivity gains that are quantified and demonstrated could serve as a strong stimulus for energy efficiency measures that simultaneously improve the indoor environment. 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Rev. Energ. Environ. PY 2000 VL 25 BP 537 EP 566 DI 10.1146/annurev.energy.25.1.537 PG 30 WC Energy & Fuels; Engineering, Environmental SC Energy & Fuels; Engineering GA 396EZ UT WOS:000166624500016 DA 2018-05-03 ER PT J AU Nguyen, TA Aiello, M AF Tuan Anh Nguyen Aiello, Marco TI Energy intelligent buildings based on user activity: A survey SO ENERGY AND BUILDINGS LA English DT Review DE Building automation; Energy awareness; Activity recognition ID OFFICE BUILDINGS; EMBEDDED AGENTS; CONSUMPTION; NETWORKS Sustainability 2018, 10, x FOR PEER REVIEW 8 of 1272 AB Occupant presence and behaviour in buildings has been shown to have large impact on heating, cooling and ventilation demand, energy consumption of lighting and appliances, and building controls. Energy- unaware behaviour can add one-third to a building's designed energy performance. Consequently, user activity and behaviour is considered as a key element and has long been used for control of various devices such as artificial light, heating, ventilation, and air conditioning. However, how are user activity and behaviour taken into account? What are the most valuable activities or behaviours and what is their impact on energy saving potential? In order to answer these questions, we provide a novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition. We devise new metrics to compare the existing studies. Through the survey, we determine the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads. The most promising and appropriate activity recognition technologies and approaches are discussed thus allowing us to conclude with principles and perspectives for energy intelligent buildings based on user activity. (c) 2012 Elsevier B.V. All rights reserved. C1 [Tuan Anh Nguyen; Aiello, Marco] Univ Groningen, Johann Bernoulli Inst Math & Comp Sci, Distributed Syst Grp, NL-9747 AG Groningen, Netherlands. RP Nguyen, TA (reprint author), Univ Groningen, Johann Bernoulli Inst Math & Comp Sci, Distributed Syst Grp, Nijenborgh 9, NL-9747 AG Groningen, Netherlands. EM [email protected]; [email protected] FU EU FP7 Project GreenerBuildings [258888]; Dutch National Research Council under the NWO Smart Energy Systems program [647.000.004]; Vietnam International Education Development program (VIED) FX The work is supported by the EU FP7 Project GreenerBuildings, contract no. 258888 and the Dutch National Research Council under the NWO Smart Energy Systems program, contract no. 647.000.004. 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