Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/94307
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dc.contributor.authorFath, K.-
dc.contributor.authorStengel, J.-
dc.contributor.authorSprenger, W.-
dc.contributor.authorWilson, H.-
dc.contributor.authorSchultmann, F.-
dc.contributor.authorKuhn, T.-
dc.date.issued2015-
dc.identifier.citationSolar Energy, 2015; 116:357-370-
dc.identifier.issn0038-092X-
dc.identifier.issn1471-1257-
dc.identifier.urihttp://hdl.handle.net/2440/94307-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityKaroline Fath, Julian Stengel, Wendelin Sprenger, Helen Rose Wilson, Frank Schultmann , Tilmann E. Kuhn-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.solener.2015.03.023-
dc.subjectPhotovoltaics; 3D city model; Radiance; technical and economic potential-
dc.titleA method for predicting the economic potential of (building-integrated) photovoltaics in urban areas based on hourly Radiance simulations-
dc.typeJournal article-
dc.identifier.doi10.1016/j.solener.2015.03.023-
pubs.publication-statusPublished-
dc.identifier.orcidSchultmann, F. [0000-0001-6405-9763]-
Appears in Collections:Aurora harvest 3
Entrepreneurship, Commercialisation, and Innovation Centre publications

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