Urban energy generation: Influence of micro-wind turbine output on electricity consumption in buildings [An article from: Energy & Buildings]

Urban energy generation: Influence of micro-wind turbine output on electricity consumption in buildings [An article from: Energy & Buildings]
by A.S. Bahaj, L. Myers, P.A.B. James

Urban energy generation: Influence of micro-wind turbine output on electricity consumption in buildings [An article from: Energy & Buildings]
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Book Summary Information

Author: A.S. Bahaj, L. Myers, P.A.B. James
Edition: Digital
Audio: English (Published)
Format: HTML
Published: 2007-02-01
ISBN: N/A
Number of pages: 11
Publisher: Elsevier

Summary of Urban energy generation: Influence of micro-wind turbine output on electricity consumption in buildings [An article from: Energy & Buildings]

This digital document is a journal article from Energy & Buildings, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Small scale wind turbines installed within the built environment is classified as microgeneration technology. Such turbines may soon become a commercial reality in the UK as a result of both advancements in technology and new financial incentives provided by the government. In addition, microgeneration technologies, especially those with appreciable resource, have the potential to reduce built environment related CO"2 emissions coupled with reductions in consumers' electricity costs. In many cases payback on capital investment is within the lifetime of the device. Micro-wind turbines installed in certain areas in the UK will fit within such criteria. The work presented here addresses modelling of such installations around the UK and presents a methodology to assess the suitability and the economic viability of micro-wind turbines for domestic dwellings. A modelling tool ''@m-Wind'' has been developed specifically for studying both energy yields and the payback periods for micro-wind turbines. @m-Wind predicts wind turbine performance prior to installation according to specific power curves either defined by turbine manufacturers or the user. Numerical consideration of wind speed data at specific UK sites was used to estimate energy yields and the results are projected to real electricity demand data from monitored dwellings in the UK. The results show that it is possible to predict with a good degree of accuracy the expected financial payback period for a typical domestic dwelling. Furthermore, the paper postulates that micro-wind technology could have the potential to make a significant impact upon domestic electricity generation when located at the windiest sites in the UK. The likelihood of a proliferation of these turbines in the urban or suburban environment is low but at coastal or inland high elevation sites the technology appears to have a promising future.

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