Decision making criteria in adopting renewable energies in the built environment.

Bennadji, Amar; Herrera, Daniel

Abstract

The best system for a particular property is strongly linked to the occupiers. User’s energy needs vary depending on type and size of building they occupy. A deeper analysis of the heating and electricity demand should include detailed assessment of activities carried out in the building. Physical constraints due to the site’s characteristics will determine the viability of the different technologies. A complete assessment will require a detailed evaluation of location and orientation of the buildings and the potential obstacles that might reduce the solar radiation or wind speed. The assessment should also include the evaluation of the visual, sound and environmental impact. The chosen solution should be compatible with the building typology, structure, fabric and type of roof. Moreover, some microgeneration technologies can work well even if a property has relatively low insulation and air tightness levels while others will not. When installing new systems in existing buildings, care must be taken to avoid damage or excessive loss particularly where the materials are fragile. The financial viability of a renewable energy system depend not only on the efficiency of the technology, but also on the available budget, the maintenance costs or the estimated lifespan. To evaluate the effectiveness of any system would be necessary to include both the grants funding and the feed-in tariff available for each system.

Citation

BENNADJI, A. and HERRERA, D. 2013. Decision making criteria in adopting renewable energies in the built environment. Presented at the 2013 All-Energy exhibition and conference (All Energy 2013), 22-23 May 2013, Aberdeen, UK.

• Presentation Conference Type: Poster
• Conference Name: 2013 All-Energy exhibition and conference (All Energy 2013)
• Conference Location: Aberdeen, UK
• Start Date: May 22, 2013
• End Date: May 23, 2013
• Deposit Date: Mar 15, 2022
• Publicly Available Date: Mar 31, 2022
• Keywords: Renewable energy; Decision making
• Public URL: https://rgu-repository.worktribe.com/output/906559