Skip to main content
×
×
Home
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 2
  • Cited by
    This (lowercase (translateProductType product.productType)) has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Powells, Gareth Bell, Sandra Judson, Ellis P. Lyon, Stephen M. Wardle, Robin Capova, Klara Anna and Bulkeley, Harriet 2016. Fostering active network management through SMEs’ practises. Energy Efficiency, Vol. 9, Issue. 3, p. 591.

    Bergaentzle, C. and Clastres, C. 2013. Demand side management in an integrated electricity market: What are the impacts on generation and environmental concerns?. p. 1.

    ×
  • Print publication year: 2011
  • Online publication date: March 2014

3 - Demand-side participation: price constraints, technical limits and behavioural risks

from Part I - The economics
Summary

Introduction

Demand response in domestic contexts may be differentiated into two modes of provision. First, ‘automatic’ load control involves the direct intervention by utilities to manipulate the performance of domestic appliances using heat or power, without the immediate involvement of domestic end-users. This is sometimes referred to as ‘dynamic demand’. For example, in the UK a trial was initiated in December 2009 by a consortium including a fridge manufacturer (Indesit), an energy utility (Npower) and a technology company (RLtec). Three hundred end-users were supplied with ‘dynamic demand fridges and fridge freezers’, free of charge and the trial involved the monitoring of each device as well as the switching off of appliances for short durations in response to grid conditions.

A second form of demand response can be described as more ‘intentional’ load control. This involves the direct intervention by domestic end-users themselves, rather than utilities, that would retain total control over the working of domestic appliances and would choose to modify behavioural patterns of energy consumption in response to some form of signal from a utility. This signal is most likely to be a price signal but is not necessarily so – it could involve communicating the availability of energy generated from different kinds of resource (e.g. fossil fuel or renewable) (Devine-Wright, 2003). The signal is most likely to be communicated via a smart metering device, but could alternatively involve a ‘traffic light’ device that signals the availability of energy via colour-coded signals, or a communication to other forms of ICT via text messages or emails (e.g. mobile phones).

Recommend this book

Email your librarian or administrator to recommend adding this book to your organisation's collection.

The Future of Electricity Demand
  • Online ISBN: 9780511996191
  • Book DOI: https://doi.org/10.1017/CBO9780511996191
Please enter your name
Please enter a valid email address
Who would you like to send this to *
×
References
AEEG 2008 Disposizioni in materia di applicazione delle condizioni economiche del servizio di maggior tutela (corrispettivi PED), di obblighi di registrazione e di messa a disposizione dei dati di prelievo e conseguente adeguamento di TIV e TILP, Decision ARG/elt 56/08MilanAEEG
Alvarez, CGabaldon, AMolina, A. 2004 Assessment and simulation of the responsive demand potential in end-user facilities: application to a university customerIEEE Transactions on Power Systems 19 1223
Bilton, M.Leach, M.Anderson, D.Tiravanti, G.Green, TProdanovic, M. 2008 Response to Ofgem's Consultation on Domestic Metering InnovationLondonImperial College London
Borenstein, S.Jaske, M.Rosenfeld, A. 2002 Dynamic Pricing, Advanced Metering and Demand Response in Electricity Marketshttp://repositories.cdlib.org/cgi/viewcontent.cgi?article=1005&context=ucei/csem
Braeutigam, RPanzar, J 1993 Effects of the change from rate-of-return regulation to price-cap regulationAmerican Economic Review 83 191
Brophy Haney, A.Jamasb, T.Pollitt, M.G. 2011 Smart metering: technology, economics and international experienceJamasb, T.Pollitt, M.The Future of Electricity Demand: Customers, Citizens and LoadsCambridge: Cambridge University Press
Caves, DChristensen, LHerriges, J 1984 Consistency of residential customer response in Time of Use pricing experimentsJournal of Econo-metrics 26 179
CSE 2007 Mobilising individual behavioural change through community initiatives: Lessons for tackling climate changeUniversity of Bristol
DECC 2009 www.decc.gov.uk/assets/decc/consultations/smart%20metering%20for%20electricity%20and%20gas/1_20090508152831_e_@@_smartmeteriadomestic.pdf
Devine-Wright, P. 2003 Social and Psychological Aspects of using Load Management on the Grid with Intermittent Power GenerationInstitute of Energy and Sustainable Development, Leicester: De Montfort University
Dulleck, UKaufmann, S 2004 Do customer information programs reduce household electricity demand? – the Irish programEnergy Policy 32 1025
ERGEG 2007
European Transmission System Operator 2007
Faruqui, AGeorge, S 2002 The value of dynamic pricing in mass marketsThe Electricity Journal 15 45
Faruqui, A.George, S 2005 Quantifying customer response to dynamic pricingThe Electricity Journal 18 53
FERC 2007
Frontier Economics 2007 Smart Metering: A Report Prepared for CentricaLondonFrontier Economics
International Energy Agency 2003 The Power to Choose – Demand Response in Liberalized Electricity MarketsParisIEA
Jamasb, JPollitt, M 2005 Electricity market reform in the European Union: review of progress toward liberalization and integrationThe Energy Journal 26 11
Littlechild, S 2003 Reflections on incentive regulationReview of Network Economics 2 289
Lutzenhiser, L 1993 Social and behavioral aspects of energy useAnnual Review of Energy and the Environment 18 247
Moreno, FGarcia, MMarin, GLazaro, GBel, A 2004 An integrated tool for assessing the demand profile flexibilityIEEE Transactions on Power Systems 19 668
Ofgem 2010 Energy Demand Research Project: Review of progress for the period March 2009 – SeptemberLondonOfgem
Ofgem 2010 Demand Response: a Discussion PaperLondonOfgem
Richardson, I.Thomson, M.Infield, D. 2008 A high-resolution domestic building occupancy model for energy demand simulationsEnergy and Buildings 40 1560
Schultz, DLineweber, D 2006 Real Mass Market Customers React to Real Time-Differentiated Rates: What Choices Do They Make and Why?, 16th National Energy Services ConferenceSan Diego, CA
Schultz, P.WGouveia, VCameron, LTankha, GSchmuck, PFranek, M 2005 Values and their relationship to environmental concern and conservation behaviorJournal of Cross-Cultural Psychology 36 457
Sibley, D. 1989 Asymmetric information, incentives and price-cap regulationRAND Journal of Economics 20 392
Strbac, G. 2008 Demand side management: benefits and challengesEnergy Policy 36 4419
Torriti, JHassan, MLeach, M 2010 Demand response experience in Europe: policies, programmes and implementationEnergy 35 1575
Vasconcelos, J 2008 Survey of Regulatory and Technical Development Concerning Smart Metering in the European Union Electricity MarketFlorenceEuropean University Institute
Verplanken, BWood, W 2006 Interventions to break and create consumer habitsJournal of Public Policy and Marketing 25 90
Vogelsang, I 2002 Incentive regulation and competition in public utility markets: a 20-year perspectiveJournal of Regulatory Economics 22 5
Wirl, F. 1995 Impact of regulation on demand side conservation programsJournal of Regulatory Economics 7 43