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Demand response in blocks of buildings: opportunities and requirements

Author

Listed:
  • Tracey Crosbie

    (Teesside University, United Kingdom)

  • Michael Short

    (Teesside University, United Kingdom)

  • Muneeb Dawood

    (Teesside University, United Kingdom)

  • Richard Charlesworth

    (Siemens Energy Management Division, United Kingdom)

Abstract

Increased Demand Response (DR) is essential to fully exploit European power systems, which in turn is an absolute prerequisite for meeting European targets related to energy efficiency and climate change. Essentially DR involves consumers reducing or shifting their electricity usage during periods of peak electricity demand in response to time-based tariffs or other forms of financial incentives. The opportunities for realising demand response vary across Europe as they are dependent on the particular regulatory, market and technical contexts in different European counties. Nevertheless successful DR programs are becoming increasingly common for large industrial customers. However DR programs aimed at small and medium scale customers have mostly failed to meet their expected potential. Blocks of buildings offer more flexibility in the timing of energy use, local energy generation and energy storage than single buildings and as such researchers and the energy industry are beginning to consider how blocks of buildings can operate collectively within energy networks to enhance the effectiveness of DR programs. This paper identifies the opportunities and technical, market and regulatory requirements for realising DR services in blocks of buildings in the European context. The work presented is part of an ongoing European Horizon 2020 project entitled Demand Response in Blocks of Buildings.

Suggested Citation

  • Tracey Crosbie & Michael Short & Muneeb Dawood & Richard Charlesworth, 2017. "Demand response in blocks of buildings: opportunities and requirements," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(3), pages 271-281, March.
    • Handle: RePEc:ssi:jouesi:v:4:y:2017:i:3:p:271-281
    DOI: 10.9770/jesi.2017.4.3S(3)
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    References listed on IDEAS

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    1. Patteeuw, Dieter & Bruninx, Kenneth & Arteconi, Alessia & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2015. "Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems," Applied Energy, Elsevier, vol. 151(C), pages 306-319.
    2. Stephenson, Janet & Barton, Barry & Carrington, Gerry & Gnoth, Daniel & Lawson, Rob & Thorsnes, Paul, 2010. "Energy cultures: A framework for understanding energy behaviours," Energy Policy, Elsevier, vol. 38(10), pages 6120-6129, October.
    3. Bergaentzlé, Claire & Clastres, Cédric & Khalfallah, Haikel, 2014. "Demand-side management and European environmental and energy goals: An optimal complementary approach," Energy Policy, Elsevier, vol. 67(C), pages 858-869.
    4. Short, Michael & Crosbie, Tracey & Dawood, Muneeb & Dawood, Nashwan, 2017. "Load forecasting and dispatch optimisation for decentralised co-generation plant with dual energy storage," Applied Energy, Elsevier, vol. 186(P3), pages 304-320.
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    Citations

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    Cited by:

    1. Sylvia Breukers & Tracey Crosbie & Luc van Summeren, 2020. "Mind the gap when implementing technologies intended to reduce or shift energy consumption in blocks-of-buildings," Energy & Environment, , vol. 31(4), pages 613-633, June.
    2. Sean Williams & Michael Short & Tracey Crosbie & Maryam Shadman-Pajouh, 2020. "A Decentralized Informatics, Optimization, and Control Framework for Evolving Demand Response Services," Energies, MDPI, vol. 13(16), pages 1-30, August.
    3. Michael Short & Sergio Rodriguez & Richard Charlesworth & Tracey Crosbie & Nashwan Dawood, 2019. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach," Energies, MDPI, vol. 12(22), pages 1-20, November.
    4. Dana Abi Ghanem & Tracey Crosbie, 2021. "The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?," Energies, MDPI, vol. 14(19), pages 1-26, September.
    5. Akinkunmi Adegbenro & Michael Short & Claudio Angione, 2021. "An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications," Energies, MDPI, vol. 14(8), pages 1-18, April.
    6. Nikos Kampelis & Elisavet Tsekeri & Dionysia Kolokotsa & Kostas Kalaitzakis & Daniela Isidori & Cristina Cristalli, 2018. "Development of Demand Response Energy Management Optimization at Building and District Levels Using Genetic Algorithm and Artificial Neural Network Modelling Power Predictions," Energies, MDPI, vol. 11(11), pages 1-22, November.

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    More about this item

    Keywords

    Demand Response (DR); block of buildings; electricity systems; Electric Utilities; Energy networks;
    All these keywords.

    JEL classification:

    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy

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