Combining solar resource mapping and energy system integration methods for realistic valuation of urban solar energy potential

Solar Energy

Volumn 135, Issue , 2016, Pages 325-336

  Wegertseder, Paulina ^a   Lund, Peter ^b   Mikkola, Jani ^b   García Alvarado, Rodrigo ^a  

^a UNIVERSIDAD DEL BÍO BÍO   (Chile)

^b AALTO UNIVERSITY   (Finland)

Author keywords

Cities; Photovoltaics; Solar energy; System integration; Urban mapping

Indexed keywords

DEVELOPING COUNTRIES; MAPPING; RESOURCE VALUATION; SOLAR ENERGY; TOPOLOGY;

CITIES; ENERGY INFRASTRUCTURES; INTEGRATED MODELING; PHOTOVOLTAICS; SOLAR ENERGY TECHNOLOGIES; STEP-BY-STEP APPROACH; SYSTEM INTEGRATION; URBAN MAPPING;

SOLAR POWER GENERATION;

DATA ACQUISITION; ENERGY RESOURCE; ESTIMATION METHOD; INFRASTRUCTURE PLANNING; MAPPING METHOD; POTENTIAL ENERGY; RENEWABLE RESOURCE; SOLAR POWER; SOLAR RADIATION; SPATIOTEMPORAL ANALYSIS; URBAN AREA; URBAN PLANNING;

CHILE;

EID: 84973595138     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2016.05.061     Document Type: Article

References (31)

1. Alexander C., Smith-Voysey S., Jarvis C., Tansey K. Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings. Environ. Urban Syst. 2009, 33:285-292.
2. Bergamasco L., Asinari P. Scalable methodology for the photovoltaic solar energy potential assessment based on available roof surface area: application to Piedmont Region (Italy). Sol. Energy 2011, 85(5):1041-1055.
3. Burr J., Hallock L., Sargent R. Shining Cities - Harnessing the Benefits of Solar Energy in America 2015, Environment America Research and Policy Center.
4. CCSC, 2013. Electricity Map of Los Angeles. <>. http://sustainablecommunities.environment.ucla.edu/map/.
5. CNE, PNUD, UTFSM, 2008. Irradiancia solar en territorios de la República de Chile. Proyecto CHI/00/G32 "Chile: Remoción de Barreras para la Electrificación Rural con Energías Renovables". Santiago de Chile.
6. CUI, 2010. City of Guelph Integrated Energy Mapping Strategy of 2010. <>. http://www.canurb.com/research-projects/energy-mapping.htm.
7. Defaix P.R., van Sark W., Worrell E., Visser E. Technical potential for photovoltaics on buildings in the EU-27. Sol. Energy 2012, 86(9):2644-2653.
8. ESRI, 2013. ArcGis Platform. <>. http://www.esri.com/.
9. Fath K., Stengel J., Sprenger W., Wilson H.R., Schultmann F., Kuhn T.E. A method for predicting the economic potential of (building-integrated) photovoltaics in urban areas based on hourly Radiance simulations. Sol. Energy 2015, 116:357-370.
10. Gastli A., Charabi Y. Solar electricity prospects in Oman using GIS-based solar radiation maps. Renew. Sustain. Energy Rev. 2010, 14:790-797.
11. Jakubiec J.A., Reinhart C.F. A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations. Sol. Energy 2013, 93:127-143.
12. Janjai S., Laksanaboonsong J., Nunez M., Thongsathitya A. Development of a method generating operational solar radiation maps from satellite data for a tropical environment. Sol. Energy 2005, 78:739-751.
13. Lukac N., Zalik B. GPU-based roofs' solar potential estimation using LiDAR data. Comput. Geosci. 2013, 52:34-41.
14. Lund P. Large-scale urban renewable electricity schemes-integration and interfacing aspects. Energy Convers. Manage. 2012, 63:162-172.
15. Lund P.D., Lindgren J., Mikkola J., Salpakari J. Review of energy system flexibility measures to enable high levels of variable renewable electricity. Renew. Sustain. Energy Rev. 2015, 45:785-807.
16. Mainzer K., Fath K., McKenna R., Stengel J., Fichtner W., Schultmann F. A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany. Sol. Energy 2014, 105:715-731.
17. Mapdwell LLC, 2014. Mapdwell. <>. http://www.mapdwell.com/en.
18. Merino, L., 2013. Modélisation du rayonnement solaire pour la simulation thermique en milieu urbain. Doctoral thesis of Université de Technologie de Compiègne, France.
19. Merino L., Vermeulen T., Cuevas C., Nahon R., Medina R. Herramienta computacional para la simulación energética de las ciudades chilenas. Cuadernos de Mecánica Computacional 2015, 13(1):1-9.
20. Martins T., Adolphe L., Bastos L. From solar constraints to urban design opportunities: optimization of built form typologies in a Brazilian tropical city. Energy Build. 2014, 76:43-56.
21. Mikkola J., Lund P.D. Models for generating place and time dependent urban energy demand profiles. Appl. Energy 2014, 130:256-264.
22. Morató, M., 2008. Manual de uso de la aplicación Cercasol+SRR. Versión 1.3. <>. https://issuu.com/moimo/docs/manual_cercasol-castellano.
23. Niemi R., Mikkola J., Lund P. Urban energy systems with smart multi-carrier energy networks and renewable energy generation. Renewable Energy 2012, 48:524-536.
24. Perez R., Ineichen P., Moore K., Kmiecikm C., George R. A new operational for satellite-derived irradiances: description and validation. Sol. Energy 2002, 73:307-317.
25. Perez R., Ineichen P., Seals R., Michalsky J., Stewart R. Modeling daylight availability and irradiance components from direct and global irradiance. Sol. Energy 1990, 44:271-289.
26. Pérez-Lombard L., Ortiz J., Pout C. A review on buildings energy consumption information. Energy Build. 2008, 40:394-398.
27. Redweik P., Catita C., Brito M. Solar energy potential on roofs and facades in an urban landscape. Sol. Energy 2013, 97:332-341.
28. Ruf, H., Stetter, D., Lanig, S., Hoyer-Klick, C., Meier, F., Heilscher, G. 2012. Active Grid Planning Based on Solar Power Roof Potential Analysis. In: Nowak, S., Jäger-Waldau, A., Helm, P. (Eds.), In: 27th European Photovoltaic Solar Energy Conference: Proceedings of the International Conference held in Frankfurt a. M, 24-28 September 2012, München.
29. Sarralde J.J., Quinn D.J., Wiesmann D., Steemers K. Solar energy and urban morphology: scenarios for increasing the renewable energy potential of neighbourhoods in London. Renewable Energy 2015, 73:10-17.
30. SEL, 2013. At the Earth Institute, Columbia University. Building Energy Consumption for NYC. <>. http://modi.mech.columbia.edu/resources/nycenergy.
31. Walla, T., Widén, J., Johansson, J., Bergerland, C., 2012. Determining and increasing the hosting capacity for photovoltaics in Swedish distribution grids. In: Proceedings of the 27th European Photovoltaic Energy Conference (EU-PVSEC), Frankfurt, Germany, September 24-28 2012.