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Title: Probabilistic analysis of solar photovoltaic self-consumption using Bayesian Network Models
Authors: Leicester, Philip A.
Rowley, Paul
Goodier, Chris I.
Keywords: Solar PV
Building energy
Bayesian Networks
Issue Date: 2015
Publisher: Institution of Engineering and Technology (IET)
Citation: LEICESTER, P.A., ROWLEY, P. and GOODIER, C.I., 2015. Probabilistic analysis of solar photovoltaic self-consumption using Bayesian Network Models. IET Renewable Power Generation, 10 (4), pp. 448-455.
Abstract: In order to assess the systemic value and impacts of multiple PV systems in urban areas, detailed analysis of on-site electricity consumption and of solar PV yield at relatively high temporal resolution is required, together with an understanding of the impacts of stochastic variations in consumption and PV generation. In this study, measured and simulated time series data for consumption and PV generation at 5 and 1 minute resolution for a large number of domestic PV systems are analysed, and a statistical evaluation of self-consumption carried out. The results show a significant variability of annual PV self-consumption across the sample population, with typical median annual self-consumption of 31% and inter-quartile range of 22-44%. 10% of the dwellings exceed a self-consumption of 60% with 10% achieving 14% or less. The results have been used to construct a Bayesian Network model capable of probabilistically analysing self-consumption given consumption and PV generation. This model provides a basis for rapid detailed analysis of the techno-economic characteristics and socio-economic impacts of PV in a range of built environment contexts, from single building to district scales.
Description: This item is an Open Access article published by IET and made available under the terms of the Creative Commons Attribution Licence, (http://creativecommons.org/licenses/by/3.0/)
Sponsor: The authors wish to acknowledge the financial support of the Engineering and Physical Sciences Research Council (EPSRC) of the United Kingdom through EPSRC grants EP/K022229/1 (WISE PV - Whole System Impacts and Socio-economics of wide scale PV integration) and EP/K02227X/1 (PV2025 - Potential Costs and Benefits of Photovoltaics for UK-Infrastructure and Society).
Version: Published
DOI: 10.1049/iet-rpg.2015.0360
URI: https://dspace.lboro.ac.uk/2134/19923
Publisher Link: http://dx.doi.org/10.1049/iet-rpg.2015.0360
ISSN: 1752-1424
Appears in Collections:Published Articles (Civil and Building Engineering)

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