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Carbon savings in the UK demand side response programmes

Author

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  • Lau, E.T.
  • Yang, Q.
  • Stokes, L.
  • Taylor, G.A.
  • Forbes, A.B.
  • Clarkson, P.
  • Wright, P.S.
  • Livina, V.N.

Abstract

We quantify carbon (CO2) savings in the demand side response (DSR) programmes. We consider Short Term Operating Reserve (STOR), Triad, Fast Reserve and Smart Meter roll-out, with various types of smart interventions involved (using diesel generators, hydro-pumped generation and use of tariffs). We model CO2 emissions in each of the DSR programmes with appropriate configurations and assumptions used in the energy industry. This enables us to compare carbon emissions between the business-as-usual (BAU) solutions and the smart intervention applied, thus deriving the carbon savings. Whether such DSR produces positive CO2 savings or not depends on the used technologies, as well as the scale of the interventions, which we illustrate in examples.

Suggested Citation

  • Lau, E.T. & Yang, Q. & Stokes, L. & Taylor, G.A. & Forbes, A.B. & Clarkson, P. & Wright, P.S. & Livina, V.N., 2015. "Carbon savings in the UK demand side response programmes," Applied Energy, Elsevier, vol. 159(C), pages 478-489.
    • Handle: RePEc:eee:appene:v:159:y:2015:i:c:p:478-489
    DOI: 10.1016/j.apenergy.2015.08.123
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    References listed on IDEAS

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    5. Bühler, Fabian & Guminski, Andrej & Gruber, Anna & Nguyen, Tuong-Van & von Roon, Serafin & Elmegaard, Brian, 2018. "Evaluation of energy saving potentials, costs and uncertainties in the chemical industry in Germany," Applied Energy, Elsevier, vol. 228(C), pages 2037-2049.
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    7. Rodríguez-García, Javier & Álvarez-Bel, Carlos & Carbonell-Carretero, José-Francisco & Alcázar-Ortega, Manuel & Peñalvo-López, Elisa, 2016. "A novel tool for the evaluation and assessment of demand response activities in the industrial sector," Energy, Elsevier, vol. 113(C), pages 1136-1146.
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    9. Rai, Ussama & Oluleye, Gbemi & Hawkes, Adam, 2022. "An optimisation model to determine the capacity of a distributed energy resource to contract with a balancing services aggregator," Applied Energy, Elsevier, vol. 306(PA).
    10. Lee, Junghun & Yoo, Seunghwan & Kim, Jonghun & Song, Doosam & Jeong, Hakgeun, 2018. "Improvements to the customer baseline load (CBL) using standard energy consumption considering energy efficiency and demand response," Energy, Elsevier, vol. 144(C), pages 1052-1063.
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    12. Arega Getaneh Abate & Rosana Riccardi & Carlos Ruiz, 2021. "Dynamic tariffs-based demand response in retail electricity market under uncertainty," Papers 2105.03405, arXiv.org, revised Feb 2024.
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