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ID: 132790

Framework for evaluating WTP for BIPV in residential housing de / Radmehr, Mehrshad; Willis, Ken; Kenechi, Ugo Elinwa

Willis, Ken	Journal Article
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Publication

2014.

Summary/Abstract

This paper explores people×s preferences for a Built in Photovoltaic (BIPV) renewable energy system to be integrated into housing construction. A novel methodology was developed, to study the case of Northern Cyprus, for better understanding of possibilities that abound in BIPV integration. The methodology incorporates Building Information Modeling (BIM) as a real-time design and economic assessment tool for BIPV choices. This serves to benefit both the construction companies and potential house owners in their decision-making. In addition, it uses a Contingent Valuation (CV) method to assess the Willingness to Pay (WTP) and the Willingness to Accept (WTA) compensation. The results indicate that the capital cost of PV is not instrumental in choice, and a lower feed-in tariff could be acceptable.

Key Words

Economics ; Contingent Valuation ; Willingness to Pay ; WTP ; BiPV ; Building integrated photovoltaic ;
Willingness to accept ; WTA

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ID: 109633

Renewable energy adoption in an ageing population: heterogeneity in preferences for micro-generation technology adoption / Willis, Ken; Scarpa, Riccardo; Gilroy, Rose; Hamza, Neveen

Willis, Ken	Journal Article
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Publication

2011.

Summary/Abstract

Many countries are endeavouring to supply more of their energy from renewable resources. Such countries are also experiencing an aging population with a greater proportion of people aged =65 years. This demographic shift may reduce the uptake of renewable energy, if older person households are less inclined to accept change and adopt new technologies. This paper assesses whether such households have different behavioural responses to energy efficiency compared to the rest of society and investigates whether micro-generation renewable energy technologies are less likely to be adopted by these households. It uses conditional logit and mixed logit models to investigate the impact of age of household on primary heating adoption, and also to assess the impact of older households on the installation of discretionary micro-generation technologies (solar thermal, solar voltaic, and wind power) to supplement existing heating and lighting systems. Results indicate that primary heating choice is not affected but that older person households are less inclined to adopt micro-generation technologies.

Key Words

Renewable Energy ; Age ; Adoption

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