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Salah Vaisi

Salah Vaisi

Academic rank: Assistant Professor
ORCID: 0000-0002-9083-2737
Education: PhD.
ScopusId: 54662
Faculty: Faculty of Art and Architecture
Address: Department of Architecture , Faculty of Art & Architecture, University of Kurdistan, Sanandaj, Iran
Phone: 0098-8733662963

Research

Title
Energy requirement mapping for university campus using CIBSE benchmarks and comparing CIBSE to display energy certificate (DEC) to extract a new criterion
Type
Presentation
Keywords
Energy modelling, CIBSE, Sustainability, Urban planning, Geographic information system, Energy efficiency
Year
2014
Researchers Salah Vaisi ، Mark Dyer ، Francesco Pilla

Abstract

The university campus is one of the most important typology of public buildings from the energy consumption point of view. According to the CIBSE TM46:2008 energy benchmarks; a typical university campus consumes 320 kWh/m2 energy and produce 89.6 KgCO2/m2 per year. In addition, by law, all public buildings in Europe should display a “Display Energy Certificate (DEC) in their main entrance. The project discussed in this paper aims to produce a Geographic Information System (GIS) Energy Model to assess and disseminate results from energy consumption analysis in the college campus buildings. This paper firstly describes the work involved to produce a colour coded building energy consumption map, which uses real data on DEC. Then this assessment is used to control the ratio of validity of CIBSE energy benchmarks by producing another colour coded energy map based on CIBSE standards. Trinity College Dublin (Ireland) campus is used as a case study to test and certify the GIS energy prediction model using CIBSE. The final GIS model also enables users to “interrogate” the buildings and obtain information about real energy consumption, prediction, building efficiency ratio, DEC, CO2 emission and other energy related data. The dissemination and visualisation capabilities of this tool will help even nonprofessional users to gain a better understanding of energy issues in different college building typologies. On the other hand, the GIS model discussed in this paper also allows the assessment of energy in a larger scale, by analysing the issue for the campus as a whole instead of individual buildings. As such, it is easy to understand that the same concept could be extrapolated, thanks to GIS capabilities, to an urban by predicting the energy requirements on a block scale and by identifying and illustrating the geospatial scattering of main sinks in the City.