Evaluating solar energy technical and economic potential on rooftops in an urban setting: the city of Lethbridge, Canada

• Published in: International journal of energy and environmental engineering Vol. 10; no. 1; pp. 13 - 32
• Main Authors: Mansouri Kouhestani, Fariborz, Byrne, James, Johnson, Dan, Spencer, Locke, Hazendonk, Paul, Brown, Bryson
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2019; Springer; Springer Nature B.V
• Subjects: Alternative energy sources; Cities; Economic aspects; Economics; Electric industries; Electric potential; Electric power demand; Electric power systems; Electricity; Electricity consumption; Energy; Energy consumption; Energy sources; Fossil fuels; Geographic information systems; Geographical distribution; Lidar; Multiple criterion; Original Research; Photovoltaic cells; Photovoltaic power generation; Photovoltaics; Pricing; Remote sensing; Renewable and Green Energy; Renewable energy sources; Renewable resources; Roofs; Satellite navigation systems; Solar cells; Solar energy; Solar power; System effectiveness; Urban environments; Canada; GIS; Suitable rooftop areas; Economic assessment; Rooftop photovoltaic potential; NPV; LiDAR
• ISSN: 2008-9163; 2251-6832
• DOI: 10.1007/s40095-018-0289-1

Solar energy deployment is gaining greater attention as a sustainable source of energy that could alleviate aspects of the current climate crisis. Knowledge of the characteristics and economics of the solar electricity sector is required to integrate it in the energy generation and utilization mix. Unlike energy generation from fossil fuels, renewable energy sources have relatively low geographic density and are spread unevenly over large areas. Therefore, especially in cities, where space has greater value and opportunity costs, finding suitable spaces for implementing solar systems are essential to promote the use of solar technologies. Using remote-sensing data, the intricate topography of cities can be modelled, and insolation incident at each location can be estimated. A multi-criteria approach based on geographic information systems (GIS) and light detection and ranging (LiDAR) is used in this research to estimate rooftop photovoltaic electricity potential of buildings in an urban environment, the city of Lethbridge. An economic assessment is conducted utilizing present market prices to determine economically attractive rooftop PV systems. The total rooftop photovoltaic (PV) electricity potential is evaluated and compared with the local electricity demand. Effective expansion of solar power systems in the city is achieved by determining the geographic distribution of the best locations for exploiting the systems. This study estimates that the rooftop PV electricity generation potential of the city of Lethbridge is approximately 301 ± 29 (SD) GWh annually (almost 38% of its annual electricity consumption in 2016), and about 96% of the recognized potential rooftop PV systems are economically feasible. The results can assist in making informed policy decisions about investment in deployment of renewable energy generation.