Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis

N. Alam; V. Coors; S. Zlatanova

doi:10.1201/b14914-23

Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis

N. Alam, V. Coors, S. Zlatanova

Urban Data Science

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

17 Citations (Scopus)

Abstract

Photovoltaic method is very popular for generating electrical power. Its energy production depends on solar radiation on that location and orientation. Shadow rapidly decreases performance of the Photovoltaic system. In this research, it is being investigated that how exactly real-time shadow can be detected. In principle, 3D city models containing roof structure, vegetation, thematically differentiated surface and texture, are suitable to simulate exact real-time shadow. An automated procedure to measure exact shadow effect from the 3D city models and a long-term simulation model to determine the produced energy from the photovoltaic system is being developed here. In this paper, a method for detecting shadow for direct radiation has been discussed with its result using a 3D city model to perform a solar energy potentiality analysis.

Original language	English
Title of host publication	Urban and Regional Data Management, UDMS Annual 2013 - Proceedings of the Urban Data Management Society Symposium 2013
Editors	R. Laurini, C. Ellul, S. Zlatanova, M. Rumor
Pages	191-196
Number of pages	6
ISBN (Electronic)	978-1-315-88523-0
DOIs	https://doi.org/10.1201/b14914-23
Publication status	Published - 2013
Event	Urban Data Management Society Symposium 2013, UDMS Annual 2013 - London, United Kingdom Duration: 29 May 2013 → 31 May 2013

Conference

Conference	Urban Data Management Society Symposium 2013, UDMS Annual 2013
Abbreviated title	UBMS annual 2013
Country/Territory	United Kingdom
City	London
Period	29/05/13 → 31/05/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1201/b14914-23

Cite this

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title = "Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis",

abstract = "Photovoltaic method is very popular for generating electrical power. Its energy production depends on solar radiation on that location and orientation. Shadow rapidly decreases performance of the Photovoltaic system. In this research, it is being investigated that how exactly real-time shadow can be detected. In principle, 3D city models containing roof structure, vegetation, thematically differentiated surface and texture, are suitable to simulate exact real-time shadow. An automated procedure to measure exact shadow effect from the 3D city models and a long-term simulation model to determine the produced energy from the photovoltaic system is being developed here. In this paper, a method for detecting shadow for direct radiation has been discussed with its result using a 3D city model to perform a solar energy potentiality analysis.",

author = "N. Alam and V. Coors and S. Zlatanova",

year = "2013",

doi = "10.1201/b14914-23",

language = "English",

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pages = "191--196",

editor = "R. Laurini and C. Ellul and S. Zlatanova and M. Rumor",

booktitle = "Urban and Regional Data Management, UDMS Annual 2013 - Proceedings of the Urban Data Management Society Symposium 2013",

note = "Urban Data Management Society Symposium 2013, UDMS Annual 2013, UBMS annual 2013 ; Conference date: 29-05-2013 Through 31-05-2013",

}

Alam, N, Coors, V & Zlatanova, S 2013, Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis. in R Laurini, C Ellul, S Zlatanova & M Rumor (eds), Urban and Regional Data Management, UDMS Annual 2013 - Proceedings of the Urban Data Management Society Symposium 2013. pp. 191-196, Urban Data Management Society Symposium 2013, UDMS Annual 2013, London, United Kingdom, 29/05/13. https://doi.org/10.1201/b14914-23

Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis. / Alam, N.; Coors, V.; Zlatanova, S.
Urban and Regional Data Management, UDMS Annual 2013 - Proceedings of the Urban Data Management Society Symposium 2013. ed. / R. Laurini; C. Ellul; S. Zlatanova; M. Rumor. 2013. p. 191-196.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis

AU - Alam, N.

AU - Coors, V.

AU - Zlatanova, S.

PY - 2013

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N2 - Photovoltaic method is very popular for generating electrical power. Its energy production depends on solar radiation on that location and orientation. Shadow rapidly decreases performance of the Photovoltaic system. In this research, it is being investigated that how exactly real-time shadow can be detected. In principle, 3D city models containing roof structure, vegetation, thematically differentiated surface and texture, are suitable to simulate exact real-time shadow. An automated procedure to measure exact shadow effect from the 3D city models and a long-term simulation model to determine the produced energy from the photovoltaic system is being developed here. In this paper, a method for detecting shadow for direct radiation has been discussed with its result using a 3D city model to perform a solar energy potentiality analysis.

AB - Photovoltaic method is very popular for generating electrical power. Its energy production depends on solar radiation on that location and orientation. Shadow rapidly decreases performance of the Photovoltaic system. In this research, it is being investigated that how exactly real-time shadow can be detected. In principle, 3D city models containing roof structure, vegetation, thematically differentiated surface and texture, are suitable to simulate exact real-time shadow. An automated procedure to measure exact shadow effect from the 3D city models and a long-term simulation model to determine the produced energy from the photovoltaic system is being developed here. In this paper, a method for detecting shadow for direct radiation has been discussed with its result using a 3D city model to perform a solar energy potentiality analysis.

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DO - 10.1201/b14914-23

M3 - Conference contribution

AN - SCOPUS:84877678914

SN - 978-113800063-6

SP - 191

EP - 196

BT - Urban and Regional Data Management, UDMS Annual 2013 - Proceedings of the Urban Data Management Society Symposium 2013

A2 - Laurini, R.

A2 - Ellul, C.

A2 - Zlatanova, S.

A2 - Rumor, M.

T2 - Urban Data Management Society Symposium 2013, UDMS Annual 2013

Y2 - 29 May 2013 through 31 May 2013

ER -

Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis

Abstract

Conference

UN SDGs

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