|- Energy optimisation modelling for urban scale master planning 531 kb
|by Jones, Phil & Lannon, Simon & Rosenthal, Hendrick | email@example.com
|The development of a modelling procedure for predicting the energy performance of buildings at urban scale as part of the initial stages of master planning. It combines city scale GIS modelling with dynamic energy modelling of individual buildings.
|This paper describes the development of a modelling procedure for predicting the energy performance of buildings at urban scale for early stage master planning. The procedure combines two techniques. The first is an urban scale GIS modelling framework, the EEP (Energy and Environmental Prediction) model, which can predict different energy saving scenarios for all the buildings in the selected area (up to a whole city). The second is the dynamic energy model HTB2 (Heat Transfer in Buildings version 2) which can predict the annual hourly energy demand of an individual building taking account of its construction, location and occupation. The modelling framework has been used to model all the buildings in a proposed new city at a detail normally used for individual buildings. The proposed new city is Gateway City in Ras Al Khaimah, United Arab Emirates, a project led by Hyder Consulting Ltd with the Welsh School of Architecture, Cardiff University providing the modelling input. Due to the hot and dry the buildings will require cooling. The modelling work considered the interaction of four main design parameters, important for the location and the proposed urban built form, including orientation, over-shadowing, construction type and internal heat gains. The information, available at the early master planning stage, included building type and mix per plot, building height and road layout. The results provided annual energy performance values for a range of combinations of the above parameters. Energy savings due to parameter optimisation were of the order of 40% to 60% for the whole city. Simple design guidance has been developed to optimise individual building design for the next stage of master-planning. An extension to the modelling framework is introduced which allows real time 3-D manipulation of a building’s design parameters to optimise a specific building’s energy use and to assess its impact on the energy performance of neighbouring buildings.
|urban scale energy modelling
Case Study presented on the ISOCARP Congress 2009: Low Carbon Cities
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