BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy

Applied Energy

Volumn 136, Issue , 2014, Pages 1076-1084

  Gulbinas, R ^a   Jain, R K ^b   Taylor, J E ^a  

^a State University   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Behavior change; Energy efficiency; Energy management; Social networks

Indexed keywords

ENERGY EFFICIENCY; ENERGY MANAGEMENT; ENERGY UTILIZATION; ENVIRONMENTAL IMPACT; HISTORIC PRESERVATION; OFFICE BUILDINGS; POWER MANAGEMENT; SOCIAL NETWORKING (ONLINE);

BEHAVIOR CHANGE; BUILDING ENERGY MANAGEMENT SYSTEMS; BUILDING OPERATIONS; COMMERCIAL BUILDING; COMPONENT FUNCTIONALITY; ENVIRONMENTAL EMISSIONS; REDUCE ENERGY CONSUMPTION; VIRTUAL ARCHITECTURE;

ENERGY MANAGEMENT SYSTEMS;

ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY PLANNING; ENVIRONMENTAL IMPACT ASSESSMENT; SOCIAL NETWORK;

EID: 84909585406     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.07.034     Document Type: Article

References (50)

1. US Department of Energy. Buildings Energy Data Book. 2010 (September 1, 2012).
2. Energy Information Agency. Emissions of Greenhouse Gases in the United States Report. 2009 (September 1, 2013).
3. US Green Buildings Council. Buildings and Climate Change Document. 2007 (September 1, 2013).
4. United States White House. Administration Announces New Tools to Help Consumers Manage Electricity Use and Shrink Bills. 2012 (October 1, 2013).
5. US Green Buildings Council. LEED Rating Systems. 2013 (October 16, 2013).
6. RESNET. Mortgage Industry National Home Energy Rating Standards. 2013 (October 16, 2013).
7. US Environmental Protection Agency. Energy Star Program. 2013 (October 16, 2013).
8. US Green Button Initiative. About Green Button. 2013 (October 16, 2013).
9. ASHRAE. Official Website of ASHRAE SSPC 135. 2013 (October 16, 2013).
10. International Organizations for Standardization. ISO 50001 - Energy Management. 2013 (October 16, 2013).
11. Wilson C., Dowlatabadi H. Models of decision making and residential energy use. Ann Rev Environ Resour 2007, 32(1):169-203.
12. Randazzo K.V., Peters J.S. Reconsidering what we measure: a white paper 2011, Opinion Dynamics Corporation, Waltham (MA).
13. Krioukov A, Dawson-haggerty S, Lee L, Rehmane O, Culler D. A living laboratory study in personalized automated lighting controls. Proceedings of the Third ACM workshop on embedded sensing systems for energy-efficiency in buildings. Seattle, WA: ACM; 2011. p. 1-6.
14. Costa A., Keane M.M., Torrens J.I., Corry E. Building operation and energy performance: monitoring, analysis and optimisation toolkit. Appl Energy 2013, 101:310-316.
15. Swords B., Coyle E., Norton B. An enterprise energy-information system. Appl Energy 2008, 85(1):61-69.
16. Marinakis V., Doukas H., Karakosta C., Psarras J. An integrated system for buildings' energy-efficient automation: application in the tertiary sector. Appl Energy 2013, 101:6-14.
17. Carrico A.R., Riemer M. Motivating energy conservation in the workplace: an evaluation of the use of group-level feedback and peer education. J Environ Psychol 2011, 31:1-13.
18. Azar E., Menassa C. Agent-based modeling of occupants and their impact on energy use in commercial buildings. J Comput Civ Eng 2011, 26(4):506-518.
19. Azar E., Menassa C. A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy Build 2012, 55:841-853.
20. Siero F.W., Bakker A.B., Dekker G.B., Van Den Burg M.T.C. Changing organizational energy consumption behaviour through comparative feedback. J Environ Psychol 1996, 16(3):235-246.
21. United States Postal Service. Postal Service Saves Millions in Energy Costs. 2012 (November 13, 2012).
22. Starbucks. Energy Conservation. 2012 (October 1, 2013).
23. United States Small Business Administration. Small Business Trends. 2013 (October 1, 2013).
24. Cagno E., Trianni A. Exploring drivers for energy efficiency within small- and medium-sized enterprises: first evidences from Italian manufacturing enterprises. Appl Energy 2013, 104:276-285.
25. Abrahamse W., Steg L., Vlek C., Rothengatter T. The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. J Environ Psychol 2007, 27(4):265-276.
26. Allcott H. Social norms and energy conservation. J Publ Econom 2011, 95(9-10):1082-1095.
27. Fischer C. Feedback on household electricity consumption: a tool saving energy?. Energy Efficiency 2008, 1(1):79-104.
28. Jain R.K., Taylor J.E., Peschiera G. Assessing eco-feedback interface usage and design to drive energy efficiency in buildings. Energy Build 2012, 48:8-17.
29. Nolan J.M., Schultz P.W., Cialdini R.B., Goldstein N.J., Griskevicius V. Normative social influence is underdetected. Personality Soc Psychol Bull 2008, 34(7):913-923.
30. Peschiera G., Taylor J.E., Siegel J.A. Response-relapse patterns of building occupant electricity consumption following exposure to personal, contextualized and occupant peer network utilization data. Energy Build 2010, 42(8):1329-1336.
31. Petersen J.E., Shunturov V., Janda K., Platt G., Weinberger K. Dormitory residents reduce electricity consumption when exposed to real-time visual feedback and incentives. Int J Sust Higher Ed 2007, 8(1):16-33.
32. Seligman C., Darley J.M., Becker L.J. Behavioral approaches to residential energy conservation. Energy Build 1978, 1(3):325-337.
33. Ueno T., Sano F., Saeki O., Tsuji K. Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data. Appl Energy 2006, 83(2):166-183.
34. Jiang X, Van Ly M, Taneja J, Dutta P, Culler D. Experiences with a high-fidelity wireless building energy auditing network. Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems. Berkeley (CA): ACM; 2009. p. 113-26.
35. Dietz T., Gardner G.T., Gilligan J., Stern P.C., Vandenbergh M.P. Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions. Proc Natl Acad Sci 2009, 106(44):18452-18456.
36. Gulbinas R., Jain R., Taylor J.E., Peschiera G., Golparvar-Fard M. Network eco-informatics: development of a social eco-feedback system to drive energy efficiency in residential buildings. ASCE J Comput Civ Eng 2013, 10.1061:1943-5487.
37. Peschiera G., Taylor J.E. The impact of peer network position on electricity consumption in building occupant networks utilizing energy feedback systems. Energy Build 2012, 49:584-590.
38. White S.E., Mitchell T.R., Bell C.H. Goal setting, evaluation apprehension, and social cues as determinants of job performance and job satisfaction in a simulated organization. J Appl Psychol 1977, 62(6):665-673.
39. Foster D, Lawson S, Blythe M, Cairns P. Wattsup?: motivating reductions in domestic energy consumption using social networks. Proceedings of the 6th nordic conference on human-computer interaction: extending boundaries; 2012; Reykjavic (Iceland): ACM; 2012. p. 178-87.
40. Petkov P, Köbler F, Foth M, Krcmar H. Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media. Proceedings of the 5th international conference on communities and technologies. Brisbane (Australia): ACM; 2011. p. 21-30.
41. Grevet C, Mankoff J, Anderson SD. Design and evaluation of a social visualization aimed at encouraging sustainable behavior. Proceedings of 43rd Hawaii international conference on system sciences. Honolulu (HI): IEEE Computer Society; 2010. p. 1-8.
42. Benevenuto F, Rodrigues T, Cha M, Almeida V. Characterizing user behavior in online social networks. Proceedings of the 9th ACM SIGCOMM conference on internet measurement. Chicago (USA): ACM; 2009. p. 49-62.
43. Das R., Turkoglu I. Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method. Expert Syst Appl 2009, 36(3):6635-6644.
44. Srivastava T., Desikan P., Kumar V. Web mining-concepts, applications and research directions. Found Adv Data Min 2005, 2005(180):275-307.
45. Jain R., Gulbinas R., Taylor J.E., Culligan P. Can social influence drive energy savings? Detecting the impact of social influence on the energy consumption behavior of networked users exposed to normative eco-feedback. Energy Build 2013, 66:119-127.
46. Cisco EnergyWise. Cisco EnergyWise Technology - Cisco Systems. 2013 (October 1, 2013).
47. Joule X. Enterprise Energy Management. 2013 (October 1, 2013).
48. Froehlich J, Findlater L, Landay J. The design of eco-feedback technology. Proceedings of the 28th international conference on Human factors in computing systems. Atlanta (USA): ACM; 2010. p. 1999-2008.
49. Chen J., Jain R., Taylor J.E. Block configuration modeling: a novel simulation model to emulate building occupant peer networks and their impact on building energy consumption. Appl Energy 2013, 105:358-368.
50. Gulbinas R, Taylor J. Effects of organizational network dynamics on energy consumption in commercial buildings. In: Proceedings of the 8th conference on sustainable development of energy, water and environment systems. Dubrovnik (Croatia): ISSN 1847-7178.