Garendon Wing, Holywell Park, Loughborough University
Leics, UK, LE11 3TU
Tel: 01509 635326
| School of Electronic, Electrical and Systems Engineering Garendon Wing, Holywell Park, Loughborough University Leics, UK, LE11 3TU Tel: 01509 635326 |
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Ian Richardson - Research Home Page |
Welcome to my research home page.Thanks for visiting. Please use the quick links below to navigate this page: Low Voltage Distribution Network Simulation Demo Journal Publications Conference Papers Conference Posters Example Software (including the freely downloadable domestic electricity demand model.) PhD Thesis Useful Links Contact Details Low Voltage Distribution Network SimulationThe following example presents a simulation of a low voltage distribution network circuit, over one day, at a one-minute resolution. The network serves one hundred dwellings via an underground cable with a length of approximately 600 meters. The width of the cable in the simulation (shown in green) is proportional to the current flowing. The domestic electricity demand model is used to simulate the demand in each of the dwellings (shown as blue circles) at each one-minute time-step throughout the day. The secondary substation is shown as a red circle in the upper-right region of the network. The current is calculated using an integrated three-phase unbalanced load flow. An open-source version of this simulation is currently in development. It will be made available in Java and will integrate a load flow with example network and demand data. 
This page is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Journal PublicationsIan Richardson, Murray Thomson, David Infield, Conor Clifford, Domestic electricity use: A high-resolution energy demand model, Energy and Buildings, Volume 42, Issue 10, 2010, Pages 1878-1887 (Access personal version from the Loughborough University Institutional Repository.) Ian Richardson, Murray Thomson, David Infield, Alice Delahunty, Domestic lighting: A high-resolution energy demand model, Energy and Buildings, Volume 41, Issue 7, July 2009, Pages 781-789 (Access personal version from the Loughborough University Institutional Repository.) Ian Richardson, Murray Thomson, David Infield, A high-resolution domestic building occupancy model for energy demand simulations, Energy and Buildings, Volume 40, Issue 8, 2008, Pages 1560-1566 (Access personal version from the Loughborough University Institutional Repository.) Conference PapersSarah Higginson, Ian Richardson and Murray Thomson, Energy use in the context of behaviour and practice: The interdisciplinary challenge in modelling flexible electricity demand, Energy and People: Futures, complexity and challenges UKERC, Oxford University, 20-21 September 2011 Ian Richardson, Murray Thomson, Integrated simulation of photovoltaic micro-generation and domestic electricity demand: a one-minute resolution open-source model, Microgen II: 2nd International Conference on Microgeneration and Related Technologies, Glasgow, 4th-6th April, 2011. Ian Richardson, Graeme Hodgson, Murray Thomson, David Infield, Alice Delahunty Simulation of high-resolution domestic electricity demand based on a building occupancy model and its applicability to the study of demand side management, The 5th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL), Berlin, June 16-18, 2009 (Access personal version from the Loughborough University Institutional Repository.) (View the conference presentation.) Ian Richardson, Murray Thomson, David Infield, Alice Delahunty A Modelling Framework for the Study of Highly Distributed Power Systems and Demand Side Management, Proceedings of the 1st International Conference on Sustainable Power Generation and Supply (SUPERGEN), Nanjing, China, 6-7th April, 2009. (Access with IEEE Xplore.) Conference PostersIan Richardson, Murray Thomson Highly distributed power systems: Distribution network modelling and demand simulation (a) Presented at the poster session at: The Universitas 21 International Conference in Energy Technologies and Policy 7th-10th September 2008, University of Birmingham, United Kingdom (b) Presented at the poster session at: EPSRC Supergen 3 HDPS/HiDEF 2009 Dissemination Event 19th June 2009, UKERC Example SoftwareIan Richardson, Murray Thomson, Domestic active occupancy model - simulation example, Loughborough University Institutional Repository (2008) Ian Richardson, Murray Thomson, Domestic lighting demand model - simulation example, Loughborough University Institutional Repository (2008) Ian Richardson, Murray Thomson, Domestic electricity demand model - simulation example, Loughborough University Institutional Repository (2010) (See useful links below for a Perl version.) 
Ian Richardson, Murray Thomson, Integrated domestic electricity demand and PV micro-generation model, Loughborough University Institutional Repository (2011) DataOne-minute resolution electricity demand data Richardson, I. and Thomson, M., One-Minute Resolution Domestic Electricity Use Data, 2008-2009 [computer file]. Colchester, Essex: UK Data Archive [distributor], October 2010. SN: 6583. UK Data Archive; Economic and Social Data Service (ESDS) PhD ThesisIan Richardson, Integrated high-resolution modelling of domestic electricity demand and low voltage electricity distribution networks, PhD Thesis, Centre for Renewable Energy Systems Technology (CREST), Department of Electronic and Electrical Engineering, Loughborough University, UK, 2010. Assessing the impact of domestic low-carbon technologies on the electricity distribution network requires a detailed insight into the operation of networks and the power demands of consumers. When used on a wide-scale, low-carbon technologies, including domestic scale micro-generation, heat pumps, electric vehicles and flexible demand, will change the nature of domestic electricity use. In providing a basis for the quantification of the impact upon distribution networks, this thesis details the construction and use of a high-resolution integrated model that simulates both existing domestic electricity use and low voltage distribution networks. Electricity demand is modelled at the level of individual household appliances and is based upon surveyed occupant time-use data. This approach results in a simulation that exhibits realistic time-variant demand characteristics, in both individual dwellings, as well as, groups of dwellings together. Validation is performed against real domestic electricity use data, measured for this purpose, from dwellings in Loughborough in the East Midlands, UK. The low voltage distribution network is modelled using real network data, and the output of its simulation is validated against measured network voltages and power demands. The integrated model provides a highly detailed insight into the operation of networks at a one-minute resolution. This integrated model is the main output of this research, alongside published articles and a freely downloadable software implementation of the demand model. Key words: Home appliances, domestic low-carbon technologies, low voltage electricity distribution networks, load flow, demand side management, demand modelling, demand response, flexible demand. Useful LinksThe Centre for Renewable Energy Systems Technology (CREST) at Loughborough University is part of the EPSRC SuperGen consortium on Highly Distributed Power Systems.
Transition Pathways to a Low Carbon Economy More Useful External LinksPerl version of the electricity demand model Gergely Acs, of the Institut National de Recherche en Informatique et en Automatique (INRIA), has ported the electricity demand model to Perl. This version, called SimElec, is available here. Smart Grid News Smart Grid Observer Contact Details
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energystudy@lboro.ac.uk