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A multi-layer energy modelling methodology to assess the impact of heat-electricity integration strategies: The case of the residential cooking sector in Italy

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  • Lombardi, Francesco
  • Rocco, Matteo Vincenzo
  • Colombo, Emanuela

Abstract

To support the ongoing transition towards smart and decarbonised energy systems, energy models need to expand their scope and predictive capabilities. To this end, this study proposes a multi-layer modelling methodology that soft-links (i) a stochastic bottom-up load curves estimation model, (ii) a technology-rich energy system optimisation model (Calliope) and (iii) a Multi-Regional Input-Output model (Exiobase v.3), and applies it to investigate the economic and environmental consequences entailed by a massive replacement of traditional gas-fired kitchens with induction kitchens within the Italian residential sector. Two scenarios are considered for the analysis: (i) business as usual (BAU, 2015 energy system configuration), and (ii) national energy strategy (SEN, configuration prospected in 2030).

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  • Lombardi, Francesco & Rocco, Matteo Vincenzo & Colombo, Emanuela, 2019. "A multi-layer energy modelling methodology to assess the impact of heat-electricity integration strategies: The case of the residential cooking sector in Italy," Energy, Elsevier, vol. 170(C), pages 1249-1260.
  • Handle: RePEc:eee:energy:v:170:y:2019:i:c:p:1249-1260
    DOI: 10.1016/j.energy.2019.01.004
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    as
    1. Lombardi, Francesco & Colombo, Luigi & Colombo, Emanuela, 2017. "Design and validation of a Cooking Stoves Thermal Performance Simulator (Cook-STePS) to simulate water heating procedures in selected conditions," Energy, Elsevier, vol. 141(C), pages 1384-1392.
    2. Francesco Calise & Massimo Dentice D’Accadia & Carlo Barletta & Vittoria Battaglia & Antun Pfeifer & Neven Duic, 2017. "Detailed Modelling of the Deep Decarbonisation Scenarios with Demand Response Technologies in the Heating and Cooling Sector: A Case Study for Italy," Energies, MDPI, vol. 10(10), pages 1-33, October.
    3. Arnold Tukker & Richard Wood & Stefan Giljum, 2018. "Relevance of Global Multi Regional Input Output Databases for Global Environmental Policy: Experiences with EXIOBASE 3," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 482-484, June.
    4. Pfenninger, Stefan & Hirth, Lion & Schlecht, Ingmar & Schmid, Eva & Wiese, Frauke & Brown, Tom & Davis, Chris & Gidden, Matthew & Heinrichs, Heidi & Heuberger, Clara & Hilpert, Simon & Krien, Uwe & Ma, 2018. "Opening the black box of energy modelling: Strategies and lessons learned," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19, pages 63-71.
    5. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    6. Kober, Tom & Summerton, Philip & Pollitt, Hector & Chewpreecha, Unnada & Ren, Xiaolin & Wills, William & Octaviano, Claudia & McFarland, James & Beach, Robert & Cai, Yongxia & Calderon, Silvia & Fishe, 2016. "Macroeconomic impacts of climate change mitigation in Latin America: A cross-model comparison," Energy Economics, Elsevier, vol. 56(C), pages 625-636.
    7. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    8. 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.
    9. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    10. Prina, Matteo Giacomo & Fanali, Lorenzo & Manzolini, Giampaolo & Moser, David & Sparber, Wolfram, 2018. "Incorporating combined cycle gas turbine flexibility constraints and additional costs into the EPLANopt model: The Italian case study," Energy, Elsevier, vol. 160(C), pages 33-43.
    11. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    12. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    13. Stefano Merciai & Jannick Schmidt, 2018. "Methodology for the Construction of Global Multi†Regional Hybrid Supply and Use Tables for the EXIOBASE v3 Database," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 516-531, June.
    14. Maurizio Gargiulo & Brian Ó Gallachóir, 2013. "Long-term energy models: Principles, characteristics, focus, and limitations," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 2(2), pages 158-177, March.
    15. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    16. Jiménez Navarro, Juan Pablo & Kavvadias, Konstantinos C. & Quoilin, Sylvain & Zucker, Andreas, 2018. "The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system," Energy, Elsevier, vol. 149(C), pages 535-549.
    17. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    18. Klinge Jacobsen, Henrik, 1998. "Integrating the bottom-up and top-down approach to energy-economy modelling: the case of Denmark," Energy Economics, Elsevier, vol. 20(4), pages 443-461, September.
    19. Heinrichs, Heidi Ursula & Schumann, Diana & Vögele, Stefan & Biß, Klaus Hendrik & Shamon, Hawal & Markewitz, Peter & Többen, Johannes & Gillessen, Bastian & Gotzens, Fabian & Ernst, Anna, 2017. "Integrated assessment of a phase-out of coal-fired power plants in Germany," Energy, Elsevier, vol. 126(C), pages 285-305.
    20. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 212, pages 1611-1626.
    21. Nico Bauer & Lavinia Baumstark & Marian Leimbach, 2012. "The REMIND-R model: the role of renewables in the low-carbon transformation—first-best vs. second-best worlds," Climatic Change, Springer, vol. 114(1), pages 145-168, September.
    22. Prina, Matteo Giacomo & Cozzini, Marco & Garegnani, Giulia & Manzolini, Giampaolo & Moser, David & Filippi Oberegger, Ulrich & Pernetti, Roberta & Vaccaro, Roberto & Sparber, Wolfram, 2018. "Multi-objective optimization algorithm coupled to EnergyPLAN software: The EPLANopt model," Energy, Elsevier, vol. 149(C), pages 213-221.
    23. Stefan Pfenninger, 2017. "Energy scientists must show their workings," Nature, Nature, vol. 542(7642), pages 393-393, February.
    24. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    25. 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.
    26. 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.
    27. Rocco, Matteo V. & Casalegno, Andrea & Colombo, Emanuela, 2018. "Modelling road transport technologies in future scenarios: Theoretical comparison and application of Well-to-Wheels and Input-Output analyses," Applied Energy, Elsevier, vol. 232(C), pages 583-597.
    28. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
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    5. Pavičević, Matija & Mangipinto, Andrea & Nijs, Wouter & Lombardi, Francesco & Kavvadias, Konstantinos & Jiménez Navarro, Juan Pablo & Colombo, Emanuela & Quoilin, Sylvain, 2020. "The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models," Applied Energy, Elsevier, vol. 267(C).
    6. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).
    7. Krumm, Alexandra & Süsser, Diana & Blechinger, Philipp, 2022. "Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?," Energy, Elsevier, vol. 239(PA).
    8. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    9. Marco Ravina & Costanza Gamberini & Alessandro Casasso & Deborah Panepinto, 2020. "Environmental and Health Impacts of Domestic Hot Water (DHW) Boilers in Urban Areas: A Case Study from Turin, NW Italy," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    10. William Clements & Surendra Pandit & Prashanna Bajracharya & Joe Butchers & Sam Williamson & Biraj Gautam & Paul Harper, 2021. "Techno-Economic Modelling of Micro-Hydropower Mini-Grids in Nepal to Improve Financial Sustainability and Enable Electric Cooking," Energies, MDPI, vol. 14(14), pages 1-23, July.
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