The purpose of this paper is to present a methodology to quantify the solar energy potential for applying photovoltaic systems and find an efficient geometry for urban blocks to obtain a better quality of daylighting in terms of continuous daylight autonomy (DA) and spatial DA with less energy consumption.
The paper is based on a complete simulation of the topography and micro-climate of the area under study. Simulations were performed using ArcGIS and Rhinoceros and urban daylight (UD) and urban modeling interface plugin for a neighborhood in the region of Narmak in Tehran, Iran. Five configurations of a neighborhood were compared using simulations.
It was found that the impact of the geometrical form on daylight gain and energy consumption is significant and the terraced model is the most suitable form for obtaining a constant floor area ratio. Furthermore, it is an optimal form of urban blocks to gain the most energy through photovoltaic systems in the neighborhood as it would be able to satisfy about 42 percent of the energy needs.
Planning to achieve sufficient energy factors in cities is a difficult task, since urban planners often do not have adequate technical knowledge to measure the contribution of solar energy in urban plans and this paper aims to introduce a comprehensive modeling methodology by which the urban energy planning can be used and understood in the urban context to make it completely clear as a strategy of implementation.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Gholami, M., Mofidi Shemirani, M. and Fayaz, R. (2018), "A modelling methodology for a solar energy-efficient neighbourhood", Smart and Sustainable Built Environment, Vol. 7 No. 1, pp. 117-132. https://doi.org/10.1108/SASBE-10-2017-0044Download as .RIS
Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited