Review of barriers to the introduction of residential demand response: a case study in the Netherlands

Summary Demand response, defined as the shifting of electricity demand, is generally believed to have value both for the grid and for the market: by matching demand more closely to supply, consumers could profit from lower prices, while in a smart grid environment, more renewable electricity can be used and less grid capacity may be needed. However, the introduction of residential demand response programmes to support the development of smart grids that includes renewable generation is hampered by a number of barriers. This paper reviews these barriers and categorises them for different demand programmes and market players. The case study for the Netherlands shows that barriers can be country specific. Two types of demand response programmes have been identified as being the most promising options for households in smart grids: price-based demand response and direct load control, while they may not be beneficial for market players or distribution system operators. © 2016 The Authors. International Journal of Energy Research Published by John Wiley & Sons Ltd.

[1]  Attema-Van Waas.  THE ADDED VALUE OF HOUSEHOLD LEVEL ANALYSIS IN ACTIVE DEMAND: USING PSYCHOLOGICAL CONCEPTS IN UNDERSTANDING CHANGING ELECTRICITY CONSUMPTION BEHAVIOUR , 2014 .

[2]  M.H.J. Weck,et al.  Barriers to the introduction of residential demand response in the Netherlands , 2015 .

[3]  M. P. Moghaddam,et al.  Flexible demand response programs modeling in competitive electricity markets , 2011 .

[4]  H. Madsen,et al.  Controlling Electricity Consumption by Forecasting its Response to Varying Prices , 2013, IEEE Transactions on Power Systems.

[5]  Corinna Fischer.  Feedback on household electricity consumption: a tool for saving energy? , 2008 .

[6]  Pavla Mandatova,et al.  NETWORK TARIFF STRUCTURE FOR A SMART ENERGY SYSTEM , 2014 .

[7]  Maarten Wolsink,et al.  Wind power for the electricity supply of houses , 1987 .

[8]  Almas Heshmati,et al.  Demand, Customer Base‐Line and Demand Response in the Electricity Market: A Survey , 2014 .

[9]  Kathleen L. Spees,et al.  Impacts of Responsive Load in PJM: Load Shifting and Real Time Pricing , 2007 .

[10]  J. Torriti,et al.  Demand response experience in Europe: Policies, programmes and implementation , 2010 .

[11]  Madeleine Gibescu,et al.  Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids , 2013 .

[12]  H. Houthakker.  Electricity tariffs in theory and practice , 1951 .

[13]  G. Ault,et al.  Supporting high penetrations of renewable generation via implementation of real-time electricity pricing and demand response , 2010 .

[14]  Sarah C. Darby,et al.  Potential carbon impacts of smart grid development in six European countries , 2013 .

[15]  H. Chao.  Price-Responsive Demand Management for a Smart Grid World , 2010 .

[16]  J.K.A.H.P.J. Kok,et al.  The PowerMatcher: Smart Coordination for the Smart Electricity Grid , 2013 .

[17]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[18]  P. Cappers,et al.  Demand Response in U.S. Electricity Markets: Empirical Evidence , 2010 .

[19]  Guy R. Newsham,et al.  The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review , 2010 .

[20]  Kathleen L. Spees,et al.  Demand Response and Electricity Market Efficiency , 2007 .

[21]  Clark W. Gellings,et al.  Smart Grid as advanced technology enabler of demand response , 2013 .

[22]  Ahmad Faruqui,et al.  Unlocking the €53 Billion Savings from Smart Meters in the EU - How Increasing the Adoption of Dynamic Tariffs Could Make or Break the EU’s Smart Grid Investment , 2009 .

[23]  M. P. Moghaddam,et al.  Demand response modeling considering Interruptible/Curtailable loads and capacity market programs , 2010 .

[24]  Z. Vale,et al.  Demand response in electrical energy supply: An optimal real time pricing approach , 2011 .

[25]  Sarvapali D. Ramchurn,et al.  Agent-based control for decentralised demand side management in the smart grid , 2011, AAMAS.

[26]  Zhongfu Tan,et al.  Demand response in China , 2010 .

[27]  Slavko Krajcar,et al.  Home demand side management integrated with electric vehicles and renewable energy sources , 2015 .

[28]  Andrew Peacock,et al.  Assessing the potential of residential demand response systems to assist in the integration of local renewable energy generation , 2014 .

[29]  J. Aghaei,et al.  Demand response in smart electricity grids equipped with renewable energy sources: A review , 2013 .

[30]  P. Ferrao,et al.  The impact of demand side management strategies in the penetration of renewable electricity , 2012 .

[31]  G. Goldman,et al.  A Survey of Utility Experience with Real Time Pricing , 2004 .

[32]  Wilfried van Sark,et al.  Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study , 2015 .

[33]  Pedro Linares,et al.  The Economic Impact of Demand-Response Programs on Power Systems. A survey of the State of the Art , 2012 .

[34]  Duncan S. Callaway,et al.  Using Residential Electric Loads for Fast Demand Response: The Potential Resource and Revenues, the Costs, and Policy Recommendations , 2012 .

[35]  Wolfgang Ketter,et al.  Demand side management—A simulation of household behavior under variable prices , 2011 .

[36]  W.G.J.H.M. van Sark,et al.  Experimental determination of demand side management potential of wet appliances in the Netherlands , 2017 .

[37]  Saifur Rahman,et al.  Development of physical-based demand response-enabled residential load models , 2013, IEEE Transactions on Power Systems.

[38]  A. Faruqui,et al.  Household response to dynamic pricing of electricity: a survey of 15 experiments , 2010 .

[39]  Nadeem Javaid,et al.  An overview of load management techniques in smart grid , 2015 .

[40]  Xi Jiang,et al.  A review of physical modelling and numerical simulation of long-term geological storage of CO2 , 2011 .

[41]  Eva Heiskanen,et al.  Smart grid: hope or hype? , 2015, Energy Efficiency.

[42]  Paul L. Joskow,et al.  Dynamic Pricing of Electricity , 2012 .

[43]  M. P. Moghaddam,et al.  Optimal real time pricing in an agent-based retail market using a comprehensive demand response model , 2011 .

[44]  P. Centolella.  The integration of Price Responsive Demand into Regional Transmission Organization (RTO) wholesale power markets and system operations , 2010 .

[45]  Susan Krumdieck,et al.  Scenario analysis of residential demand response at network peak periods , 2012 .

[46]  Lorna A. Greening,et al.  Demand response resources: Who is responsible for implementation in a deregulated market? , 2010 .

[47]  M. Lijesen.  The real-time price elasticity of electricity , 2007 .

[48]  Maarten Wolsink.  New experimental electricity tariff systems for household end use , 1997 .

[49]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

[50]  Douglas Cooke,et al.  Empowering Customer Choice in Electricity Markets , 2011 .

[51]  Cedric De Jonghe,et al.  Short-Term Demand Response in Electricity Generation Planning and Scheduling - Facilitating Wind Power Integration (Korte termijn vraagrespons in het plannen en uitbaten van elektriciteitsproductie - Faciliteren van windenergie integratie) , 2011 .

[52]  M. Wolsink.  The research agenda on social acceptance of distributed generation in smart grids: Renewable as common pool resources , 2012 .