Analyzing consumer acceptance of photovoltaics (PV) using fuzzy logic model

Renewable Energy

Volumn 41, Issue , 2012, Pages 350-357

  Zhai, Pei ^a   Williams, Eric D ^b  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Consumer acceptance; Fuzzy logic; Photovoltaic; Survey

Indexed keywords

ARIZONA; CONSUMER ACCEPTANCE; CONSUMER PERCEPTION; ENVIRONMENTAL CONCERNS; FUZZY LOGIC INFERENCE; FUZZY LOGIC MODEL; MAINTENANCE REQUIREMENT; PHOTOVOLTAIC; PHOTOVOLTAICS; QUANTITATIVE RESULT; RENEWABLE ENERGY TECHNOLOGIES; RESIDENTIAL PHOTOVOLTAIC;

COST REDUCTION; FUZZY INFERENCE; MAINTENANCE; PHOTOVOLTAIC EFFECTS; SURVEYS;

FUZZY LOGIC;

COST-BENEFIT ANALYSIS; DATA SET; FUZZY MATHEMATICS; MAINTENANCE; NUMERICAL MODEL; PHOTOVOLTAIC SYSTEM; QUANTITATIVE ANALYSIS; RENEWABLE RESOURCE; SURVEY;

ARIZONA; UNITED STATES;

EID: 84155171101     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.11.041     Document Type: Article

References (21)

1. Wustenhagen R., Wolsink M., Burer M.J. Social acceptance of renewable energy innovation: an introduction to the concept. Energ Policy 2007, 35:2683-2691.
2. Zoellner J., Schweizer-Ries P., Wemheuer C. Public acceptance of renewable energies: results from case studies in Germany. Energ Policy 2008, 36:4136-4141.
3. Sovacool B.K. Rejecting renewables: the socio-technical impediments to renewable electricity in the United States. Energ Policy 2009, 37:4500-4513.
4. Sovacool B.K. The cultural barriers to renewable energy and energy efficiency in the United States. Technol Soc 2009, 31:365-373.
5. Claudy M.C., Michelsen C., O'Driscoll A., Mullen M.R. Consumer awareness in the adoption of microgeneration technologies an empirical investigation in the Republic of Ireland. Renew Sust Energ Rev 2010, 14:2154-2160.
6. Arkesteijn K., Oerlemans L. The early adoption of green power by Dutch households - an empirical exploration of factors influencing the early adoption of green electricity for domestic purposes. Energ Policy 2005, 33:183-196.
7. Bhandari A.K., Jana C. A comparative evaluation of household preferences for solar photovoltaic standalone and mini-grid system: an empirical study in a costal village of Indian Sundarban. Renew Energ 2010, 35:2835-2838.
8. Kaminaris S.D., Tsoutsos T.D., Agoris D., Machias A. Assessing renewables-to-electricity systems: a fuzzy expert system model. Energ Policy 2006, 34:1357-1366.
9. Doukas H.C., Andreas B.M., Psarras J.E. Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables. Eur J Oper Res 2007, 182:844-855.
10. Mendonca M., Lacey S., Hvelplund F. Stability, participation and transpanrency in renewable energy policy: lessons from Denmark and the United States. Policy Soc 2009, 27:379-398.
11. Farhar B., Coburn T. A market assessment of residential grid-tied PV system in Colorado 2000, U.S. National Renewable Energy Laboratory, Boulder, Colorado.
12. Jager W. Stimulating the diffusion of photovoltaic systems: a behavioural perspective. Energ Policy 2006, 34:1935-1943.
13. Faiers A., Neame C. Consumer attitudes towards domestic solar power systems. Energ Policy 2006, 34:1797-1806.
14. Rogers E.M. Diffusion of innovation 2005, The Free Press, New York. 4th ed.
15. Mallett A. Social acceptance of renewable energy innovations: the role of technology cooperation in urban Mexico. Energy Policy 2007, 35:2790-2798.
16. Tsoutsos T.D., Staltiboulis Y.A. The sustainable diffusion of renewable energy technologies as an example of an innovation-focused policy. Technovation 2005, 25:753-761.
17. Yen J., Langeri R. Fuzzy logic: intelligence, control, and information 1999, Prentice Hall, Englewood Cliffs, New Jersey.
18. Zadeh L.A. Is there a need for fuzzy logic?. Inform Sci 2008, 178:2751-2779.
19. Chedid R., Mezher T., Jarrouche C. A fuzzy programming approach to energy resource allocation. Int J Energ Res 1999, 23:303-317.
20. Medina S., Moreno J. Risk evaluation in Colombian electricity market using fuzzy logic. Energy Econ 2007, 29:999-1009.
21. Phillis Y.A., Andriantiatsaholiniaina L.A. Sustainability: an ill-defined concept and its assessment using fuzzy logic. Ecol Econ 2001, 37:435-456.