Karatas, A; Stoiko, A and Menassa, C C (2016) Framework for selecting occupancy-focused energy interventions in buildings. Building Research & Information, 44(5-6), pp. 535-551. ISSN 0961-3218
Abstract
Energy policy tools aimed at achieving energy savings for buildings have often yielded less than the predicted savings. One reason for these results is that the design of these tools often neglects the actions and behaviours of the building occupants, and focuses more on the cost and ease of implementation. This research highlights the importance of identifying the diverse characteristics of occupants that significantly contribute to environmental problems, and the factors that make sustainable behavioural patterns attractive. A multilevel intervention strategy tailored to various occupants' characteristics to produce and maintain large-scale energy savings for buildings over time is proposed. To achieve this, the framework adopts a motivation/opportunity/ability (MOA) approach from the consumer and social marketing fields, where intervention strategies can be regarded as advertisements enticing the building occupants to adopt certain energy-use characteristics. The conceptual framework involves: measuring occupants' pre- and post-intervention exposure MOA level and energy-use profiles; clustering occupants based on identified characteristics; and accordingly choose energy-efficiency intervention strategies. The results of a case study of an actual building highlight the capabilities of the proposed framework in the selection of effective intervention strategies to achieve the required energy reductions.; Energy policy tools aimed at achieving energy savings for buildings have often yielded less than the predicted savings. One reason for these results is that the design of these tools often neglects the actions and behaviours of the building occupants, and focuses more on the cost and ease of implementation. This research highlights the importance of identifying the diverse characteristics of occupants that significantly contribute to environmental problems, and the factors that make sustainable behavioural patterns attractive. A multilevel intervention strategy tailored to various occupants' characteristics to produce and maintain large-scale energy savings for buildings over time is proposed. To achieve this, the framework adopts a motivation/opportunity/ability (MOA) approach from the consumer and social marketing fields, where intervention strategies can be regarded as advertisements enticing the building occupants to adopt certain energy-use characteristics. The conceptual framework involves: measuring occupants' pre- and post-intervention exposure MOA level and energy-use profiles; clustering occupants based on identified characteristics; and accordingly choose energy-efficiency intervention strategies. The results of a case study of an actual building highlight the capabilities of the proposed framework in the selection of effective intervention strategies to achieve the required energy reductions.;Energy policy tools aimed at achieving energy savings for buildings have often yielded less than the predicted savings. One reason for these results is that the design of these tools often neglects the actions and behaviours of the building occupants, and focuses more on the cost and ease of implementation. This research highlights the importance of identifying the diverse characteristics of occupants that significantly contribute to environmental problems, and the factors that make sustainable behavioural patterns attractive. A multilevel intervention strategy tailored to various occupants' characteristics to produce and maintain large-scale energy savings for buildings over time is proposed. To achieve this, the framework adopts a motivation/opportunity/ability (MOA) approach from the consumer and social marketing fields, where intervention strategies can be regarded as advertisements enticing the building occupants to adopt certain energy-use characteristics. The conceptual framework involves: measuring occupants' pre- and post-intervention exposure MOA level and energy-use profiles; clustering occupants based on identified characteristics; and accordingly choose energy-efficiency intervention strategies. The results of a case study of an actual building highlight the capabilities of the proposed framework in the selection of effective intervention strategies to achieve the required energy reductions.;
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | occupant behaviour; motivation; policy tools; policy measures; energy policy; energy use behaviour; energy consumption; inducements; behavioural change; public-health; information; behavior; involvement; electricity consumption; randomized controlled-trial; conservation; construction & building technology; financial incentives; feedback; reduce; intervention; buildings |
| Index terms: | savings, exposure, policy tools, inducement, energy-use behaviour, conservation, energy policy, social marketing, energy-saving, occupant behaviour, conceptual framework, intervention strategy, clustering, motivation, case study, building technology, financial incentive, efficiency, energy reduction, policy measure, electricity consumption, implementation, behavioural change, energy consumption |
| Subjects: | financial risk, contractual arrangements, public policy, management, performance management, economic analysis, behavioral psychology, energy systems, theoretical framing, policy studies, psychology, data science, engineering systems, environmental policy, marketing, health behaviours and lifestyles, data collection methods, public and environmental health |
| Topics: | Health and Safety, Business Strategy, Quality Management, Governance, Procurement, Cost Management, Human Resources, Digital Applications, Research Practice, Sustainability, Engineering Principles |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here