(Q56654014)

English

Urban wind resource assessment : predicting the turbulence intensity, excess energy available and performance of roof mounted wind turbines in a built environments

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doctoral thesis

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E-Theses Online Service

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https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714293

retrieved

30 August 2018

title

Urban wind resource assessment : predicting the turbulence intensity, excess energy available and performance of roof mounted wind turbines in a built environments (English)

1 reference

stated in

E-Theses Online Service

reference URL

https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714293

retrieved

30 August 2018

author

Francis Chimeziri Emejeamara

object named as

Francis Chimeziri Emejeamara

1

1 reference

E-Theses Online Service

reference URL

https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714293

retrieved

30 August 2018

dissertation submitted to

University of Leeds

1 reference

stated in

E-Theses Online Service

reference URL

https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714293

retrieved

30 August 2018

publication date

2017

1 reference

stated in

E-Theses Online Service

reference URL

https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714293

retrieved

30 August 2018

full work available at URL

http://etheses.whiterose.ac.uk/17496/

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White Rose Etheses Online

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Microsoft Academic ID

2737243472

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(Q56654014)

Urban wind resource assessment : predicting the turbulence intensity, excess energy available and performance of roof mounted wind turbines in a built environments

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