A powerful visualization technique for electricity supply and demand at industrial sites with combined heat and power and wind generation

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dc.contributor.author Hanrahan, Brian Leif
dc.contributor.author Lightbody, Gordon
dc.contributor.author Staudt, Lawrence
dc.contributor.author Leahy, Paul G.
dc.date.accessioned 2014-03-12T16:37:52Z
dc.date.available 2014-03-12T16:37:52Z
dc.date.issued 2014-03
dc.identifier.citation HANRAHAN, B. L., LIGHTBODY, G., STAUDT, L. & LEAHY, P. G. 2014. A powerful visualization technique for electricity supply and demand at industrial sites with combined heat and power and wind generation. Renewable and Sustainable Energy Reviews, 31, 860-869. doi: 10.1016/j.rser.2013.12.016 en
dc.identifier.volume 31 en
dc.identifier.startpage 860 en
dc.identifier.endpage 869 en
dc.identifier.issn 1364-0321
dc.identifier.uri http://hdl.handle.net/10468/1459
dc.identifier.doi 10.1016/j.rser.2013.12.016
dc.description.abstract The combination of wind generation and combined heat and power (CHP) on an industrial site brings significant design and operational challenges. The stochastic nature of wind power affects the flows of electricity imported and exported to and from the site. Economies of scale favor larger wind turbines, but at the same time it is also desirable to minimize the amount of electricity exported from the site to avoid incurring increased network infrastructure usage charges. Therefore the optimum situation is to maximize the proportion of the site load served by on-site generation. This paper looks at a visualization technique for power flows on an industrial site, which can be used to size on-site generators. The technique is applied to a test case, demonstrating how a simple combined heat and power control scheme can support the integration of on-site wind power. The addition of such CHP control has a small impact on the CHP unit but can greatly increase the proportion of wind generation consumed on-site. This visualization technique allows the comparison of different generation mixes and control schemes in order to arrive at the optimal mix from a technical and economic viewpoint. en
dc.description.sponsorship Enterprise Ireland (IP/2009/821); Science Foundation Ireland (Stokes Lectureship programme); Wind Energy Direct Ltd. (IP/2009/821) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.rights Copyright © 2014 Elsevier Ltd. All rights reserved. NOTICE: this is the author’s version of a work that was accepted for publication in Renewable and Sustainable Energy Reviews. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Surface Science [Volume 31, March 2014, Pages 860–869] http://dx.doi.org/10.1016/j.rser.2013.12.016 en
dc.subject Distributed generation en
dc.subject Microgrid en
dc.subject Autoproduction en
dc.subject Renewable energy systems en
dc.title A powerful visualization technique for electricity supply and demand at industrial sites with combined heat and power and wind generation en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Paul Leahy, Civil Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: paul.leahy@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2014-02-18T00:27:54Z
dc.description.version Accepted Version en
dc.internal.rssid 244454843
dc.contributor.funder Enterprise Ireland en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Renewable & Sustainable Energy Reviews en
dc.internal.copyrightchecked No !!CORA!! Romeo - AV and set statement permitted en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress paul.leahy@ucc.ie en


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