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A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion

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  • Eggimann, Sven
  • Hall, Jim W.
  • Eyre, Nick

Abstract

Localisation of energy technologies and policies is increasing the need for high-resolution spatial and temporal energy demand simulation modelling, which goes beyond annual and national scale. Increasing the temporal resolution is crucial for demand side management modelling or for the simulation of load profile changes due to the installation of new technologies such as heat pumps. Increasing the spatial resolution enables regional energy planning and capturing the spatial dynamics of drivers of energy demand. Yet regional and local energy grids are interconnected with national and continental networks, so to capture multi-scale effects, high resolution is required everywhere. A high-resolution bottom-up engineering energy demand simulation model is introduced, which projects energy demands both for a high spatial and high temporal scale and enables spatial explicit simulation of model parameters. The model is applied for exploring implications of the electrification of heat by a large-scale uptake of heat pumps for water and space heating in the United Kingdom and to simulate heat pump related demand side management opportunities. We simulate a change in peak electricity heating load of −0.4 t– 21.5 GW for 50% heat pump uptake for space heating demands across different scenarios resulting in an increase of total peak electricity demand of 3.3–31.2 GW (6.3–59.8%). The simulation results show considerable regional differences in change of electricity load factors (−17.2–8.4%) and peak electricity demands (−9.9–206.1%). The potential to reduce national electricity peak load with managed heat pump load profiles for heating is simulated to be 0.2–5.8 GW (0.4–11.1%). These results exemplify the importance of discussing heat-pump induced change in peak electricity demands within a scenario context. Including different drivers in energy demands and their variability considerably affects the scale of anticipated electricity peak demand.

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  • Eggimann, Sven & Hall, Jim W. & Eyre, Nick, 2019. "A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion," Applied Energy, Elsevier, vol. 236(C), pages 997-1010.
    • Handle: RePEc:eee:appene:v:236:y:2019:i:c:p:997-1010
    DOI: 10.1016/j.apenergy.2018.12.052
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    as
    1. Bernhard Truffer & Lars Coenen, 2012. "Environmental Innovation and Sustainability Transitions in Regional Studies," Regional Studies, Taylor & Francis Journals, vol. 46(1), pages 1-21, November.
    2. Love, Jenny & Smith, Andrew Z.P. & Watson, Stephen & Oikonomou, Eleni & Summerfield, Alex & Gleeson, Colin & Biddulph, Phillip & Chiu, Lai Fong & Wingfield, Jez & Martin, Chris & Stone, Andy & Lowe, R, 2017. "The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial," Applied Energy, Elsevier, vol. 204(C), pages 332-342.
    3. 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.
    4. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    5. Huebner, Gesche M. & Hamilton, Ian & Chalabi, Zaid & Shipworth, David & Oreszczyn, Tadj, 2015. "Explaining domestic energy consumption – The comparative contribution of building factors, socio-demographics, behaviours and attitudes," Applied Energy, Elsevier, vol. 159(C), pages 589-600.
    6. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    7. I, Sahadudheen, 2014. "Household human development index in Lakshadweep," MPRA Paper 65562, University Library of Munich, Germany, revised 2014.
    8. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    9. Qadrdan, Meysam & Chaudry, Modassar & Jenkins, Nick & Baruah, Pranab & Eyre, Nick, 2015. "Impact of transition to a low carbon power system on the GB gas network," Applied Energy, Elsevier, vol. 151(C), pages 1-12.
    10. Nelson, James & Johnston, Josiah & Mileva, Ana & Fripp, Matthias & Hoffman, Ian & Petros-Good, Autumn & Blanco, Christian & Kammen, Daniel M., 2012. "High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures," Energy Policy, Elsevier, vol. 43(C), pages 436-447.
    11. Morton, Craig & Wilson, Charlie & Anable, Jillian, 2018. "The diffusion of domestic energy efficiency policies: A spatial perspective," Energy Policy, Elsevier, vol. 114(C), pages 77-88.
    12. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    13. Tan, Andrew K.G. & Yen, Steven T. & Hasan, Abdul Rahman & Muhamed, Kamarudin, 2014. "Household Expenditures on Vegetables in Malaysia," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 46(4), pages 615-634, November.
    14. Hannon, Matthew J., 2015. "Raising the temperature of the UK heat pump market: Learning lessons from Finland," Energy Policy, Elsevier, vol. 85(C), pages 369-375.
    15. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    16. Anable, Jillian & Brand, Christian & Tran, Martino & Eyre, Nick, 2012. "Modelling transport energy demand: A socio-technical approach," Energy Policy, Elsevier, vol. 41(C), pages 125-138.
    17. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    18. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    19. Mikkola, Jani & Lund, Peter D., 2014. "Models for generating place and time dependent urban energy demand profiles," Applied Energy, Elsevier, vol. 130(C), pages 256-264.
    20. Vanhoudt, D. & Geysen, D. & Claessens, B. & Leemans, F. & Jespers, L. & Van Bael, J., 2014. "An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy," Renewable Energy, Elsevier, vol. 63(C), pages 531-543.
    21. McKenna, Eoghan & Thomson, Murray, 2016. "High-resolution stochastic integrated thermal–electrical domestic demand model," Applied Energy, Elsevier, vol. 165(C), pages 445-461.
    22. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    23. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    24. Eyre, Nick & Baruah, Pranab, 2015. "Uncertainties in future energy demand in UK residential heating," Energy Policy, Elsevier, vol. 87(C), pages 641-653.
    25. Alessia Arteconi & Fabio Polonara, 2018. "Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings," Energies, MDPI, vol. 11(7), pages 1-19, July.
    26. Bridge, Gavin & Bouzarovski, Stefan & Bradshaw, Michael & Eyre, Nick, 2013. "Geographies of energy transition: Space, place and the low-carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 331-340.
    27. Leibowicz, Benjamin D. & Krey, Volker & Grubler, Arnulf, 2016. "Representing spatial technology diffusion in an energy system optimization model," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 350-363.
    28. Martinopoulos, G. & Tsalikis, G., 2018. "Diffusion and adoption of solar energy conversion systems – The case of Greece," Energy, Elsevier, vol. 144(C), pages 800-807.
    29. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2009. "Energy demand models for policy formulation : a comparative study of energy demand models," Policy Research Working Paper Series 4866, The World Bank.
    30. Longhi, Simonetta, 2015. "Residential energy expenditures and the relevance of changes in household circumstances," Energy Economics, Elsevier, vol. 49(C), pages 440-450.
    31. Barton, John & Huang, Sikai & Infield, David & Leach, Matthew & Ogunkunle, Damiete & Torriti, Jacopo & Thomson, Murray, 2013. "The evolution of electricity demand and the role for demand side participation, in buildings and transport," Energy Policy, Elsevier, vol. 52(C), pages 85-102.
    32. Balta-Ozkan, Nazmiye & Watson, Tom & Mocca, Elisabetta, 2015. "Spatially uneven development and low carbon transitions: Insights from urban and regional planning," Energy Policy, Elsevier, vol. 85(C), pages 500-510.
    33. Scott Thacker & Stuart Barr & Raghav Pant & Jim W. Hall & David Alderson, 2017. "Geographic Hotspots of Critical National Infrastructure," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2490-2505, December.
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