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Items where Author is "Coker, Dr Phil"

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Number of items: 16.


Daniels, L., Coker, P., Gunn, A. and Potter, B. (2015) Using proxies to calculate the carbon impact of investment into electricity network assets. Applied Energy, 162. pp. 551-560. ISSN 0306-2619 doi: 10.1016/j.apenergy.2015.10.111

Saker, D., Vahdati, M., Coker, P. and Millward, S. (2015) Assessing the benefits of domestic hot fill washing appliances. Energy and Buildings, 93. pp. 282-294. ISSN 0378-7788 doi: 10.1016/j.enbuild.2015.02.027

Cannon, D.J., Brayshaw, D.J., Methven, J., Coker, P.J. and Lenaghan, D. (2015) Using reanalysis data to quantify extreme wind power generation statistics : a 33 year case study in Great Britain. Renewable Energy, 75. pp. 767-778. ISSN 0960-1481 doi: 10.1016/j.renene.2014.10.024

Drew, D., Cannon, D., Brayshaw, D., Barlow, J. and Coker, P. (2015) The impact of future offshore wind farms on wind power generation in Great Britain. Resources Policy, 4 (1). pp. 155-171. ISSN 0301-4207 doi: 10.3390/resources4010155

Rawlings, J., Coker, P., Doak, J. and Burfoot, B. (2014) Do smart grids offer a new incentive for SME carbon reduction? Sustainable Cities and Society, 10. pp. 245-250. ISSN 2210-6707 doi: 10.1016/j.scs.2013.04.003

Lee, T., Yao, R. and Coker, P. (2014) An analysis of UK policies for domestic energy reduction using an agent based tool. Energy Policy, 66. pp. 267-279. ISSN 0301-4215 doi: 10.1016/j.enpol.2013.11.004

Kubik, M. L., Brayshaw, D. J., Coker, P. J. and Barlow, J. F. (2013) Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland. Renewable Energy, 57. pp. 558-561. ISSN 0960-1481 doi: 10.1016/j.renene.2013.02.012

Coker, P., Barlow, J., Cockerill, T. and Shipworth, D. (2013) Measuring significant variability characteristics: An assessment of three UK renewables. Renewable Energy, 53. pp. 111-120. ISSN 0960-1481 doi: 10.1016/j.renene.2012.11.013

Kubik, M. L., Coker, P. J., Barlow, J. F. and Hunt, C. (2013) A study into the accuracy of using meteorological wind data to estimate turbine generation output. Renewable Energy, 51. pp. 153-158. ISSN 0960-1481 doi: 10.1016/j.renene.2012.08.084

Kubik, M.L., Coker, P.J. and Hunt, C. (2012) The role of conventional generation in managing variability. Energy Policy, 50. pp. 253-261. ISSN 0301-4215 doi: 10.1016/j.enpol.2012.07.010 (Special section: Past and prospective energy transitions - insights from history)

Conference or Workshop Item

Poonyth, A., Coker, P. and Torriti, J. (2015) A comparative value of electricity storage within GB market mechanisms. In: European Energy Market (EEM), 12th International Conference, 19-22 May 2015, Lisbon.

Daniels, L., Potter, B. and Coker, P. (2014) Exploring methods to evaluate the carbon impact of network investment deferral. In: Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, 12-15th October 2014, Istanbul, pp. 1-6.

Daniels, L., Walton, P., Potter, B. and Coker, P. (2014) Using standby generators in support of an electricity network: logistics and experience. In: CIBSE Technical Symposium 2014, 3rd - 4th April 2014, Dublin Technical Institute, Dublin, Ireland.

Daniels, L., Potter, B. and Coker, P. (2013) Financial implications for companies running standby generators in support of a smart grid. In: CISBAT 2013: CleanTech for Smart Cities & Buildings, 4th-6th September 2013, Lausanne, Switzerland, pp. 727-732.

Kubik, M. L., Coker, P. J. and Hunt, C. (2011) Using meteorological wind data to estimate turbine generation output: a sensitivity analysis. In: World Renewable Energy Congress, 8-13 May 2011, Linkoping University, Sweden, pp. 4074-4081.

Kubik, M. L., Coker, P. J. and Hunt, C. (2010) An overview of the current status of research into adopting high levels of renewables in Ireland. In: World Renewable Energy Congress XI, 25th-30th September 2010, Abu Dhabi, UAE.

This list was generated on Thu Nov 26 13:13:07 2015 GMT.

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