IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v209y2020ics0360544220314857.html
   My bibliography  Save this article

Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy)

Author

Listed:
  • Viesi, Diego
  • Crema, Luigi
  • Mahbub, Md Shahriar
  • Verones, Sara
  • Brunelli, Roberto
  • Baggio, Paolo
  • Fauri, Maurizio
  • Prada, Alessandro
  • Bello, Andrea
  • Nodari, Benedetta
  • Silvestri, Silvia
  • Tomasi, Luca

Abstract

Since the Kyoto Protocol (1997), the European Union has fought against climate change adopting European, national and regional policies to decarbonise the economy. Moreover, the Paris Agreement (2015) calls 2050 solutions between -80% and -100% of greenhouse gas emissions compared with 1990. Regions have an important role in curbing CO2 emissions, and tailor-made strategies considering local energy demands, savings potentials and renewables must be elaborated factoring in the social and economic context. An “optimized smart energy system” approach is proposed, considering: (I) integration of electricity, thermal and transport sectors, (II) hourly variability of productions and demands, (III) coupling the EnergyPLAN software, to develop integrated and dynamic scenarios, with a multi-objective evolutionary algorithm, to identify solutions optimized both in terms of CO2 emissions and costs, including decision variables for all the three energy sectors simultaneously. The methodology is tested at the regional scale for the Province of Trento (Italy) analyzing a total of 30,000 scenarios. Compared to the Baseline 2016, it is identified: (I) the strategic role of sector coupling among large hydroelectric production and electrification of thermal and transport demands (heat pumps, electric mobility), (II) slight increases in total annual cost, +14% for a -90% of CO2 emissions in 2050.

Suggested Citation

  • Viesi, Diego & Crema, Luigi & Mahbub, Md Shahriar & Verones, Sara & Brunelli, Roberto & Baggio, Paolo & Fauri, Maurizio & Prada, Alessandro & Bello, Andrea & Nodari, Benedetta & Silvestri, Silvia & To, 2020. "Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy)," Energy, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220314857
    DOI: 10.1016/j.energy.2020.118378
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220314857
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.118378?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    2. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. 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.
    5. Ruhnau, Oliver & Bannik, Sergej & Otten, Sydney & Praktiknjo, Aaron & Robinius, Martin, 2019. "Direct or indirect electrification? A review of heat generation and road transport decarbonisation scenarios for Germany 2050," Energy, Elsevier, vol. 166(C), pages 989-999.
    6. 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.
    7. 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.
    8. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
    9. Domenech, B. & Ranaboldo, M. & Ferrer-Martí, L. & Pastor, R. & Flynn, D., 2018. "Local and regional microgrid models to optimise the design of isolated electrification projects," Renewable Energy, Elsevier, vol. 119(C), pages 795-808.
    10. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    11. Terrados, J. & Almonacid, G. & Hontoria, L., 2007. "Regional energy planning through SWOT analysis and strategic planning tools.: Impact on renewables development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1275-1287, August.
    12. 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.
    13. Mahbub, Md Shahriar & Viesi, Diego & Crema, Luigi, 2016. "Designing optimized energy scenarios for an Italian Alpine valley: the case of Giudicarie Esteriori," Energy, Elsevier, vol. 116(P1), pages 236-249.
    14. Pursiheimo, Esa & Holttinen, Hannele & Koljonen, Tiina, 2019. "Inter-sectoral effects of high renewable energy share in global energy system," Renewable Energy, Elsevier, vol. 136(C), pages 1119-1129.
    15. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
    16. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    17. Neirotti, Francesco & Noussan, Michel & Simonetti, Marco, 2020. "Towards the electrification of buildings heating - Real heat pumps electricity mixes based on high resolution operational profiles," Energy, Elsevier, vol. 195(C).
    18. Bellocchi, S. & De Iulio, R. & Guidi, G. & Manno, M. & Nastasi, B. & Noussan, M. & Prina, M.G. & Roberto, R., 2020. "Analysis of smart energy system approach in local alpine regions - A case study in Northern Italy," Energy, Elsevier, vol. 202(C).
    19. 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.
    20. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    21. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    3. Abd Alla, Sara & Bianco, Vincenzo & Tagliafico, Luca A. & Scarpa, Federico, 2021. "Pathways to electric mobility integration in the Italian automotive sector," Energy, Elsevier, vol. 221(C).
    4. Diego Viesi & Gregorio Borelli & Silvia Ricciuti & Giovanni Pernigotto & Md Shahriar Mahbub, 2024. "Modeling the Optimal Transition of an Urban Neighborhood towards an Energy Community and a Positive Energy District," Energies, MDPI, vol. 17(16), pages 1-30, August.
    5. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    6. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    7. Johannsen, Rasmus Magni & Prina, Matteo Giacomo & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Sparber, Wolfram, 2023. "Municipal energy system modelling – A practical comparison of optimisation and simulation approaches," Energy, Elsevier, vol. 269(C).
    8. Margherita Povolato & Alessandro Prada & Sara Verones & Silvia Debiasi & Paolo Baggio, 2023. "The Impact of Energy Community Composition on Its Technical and Economic Performance," Energies, MDPI, vol. 16(14), pages 1-15, July.
    9. Osorio-Aravena, Juan Carlos & Aghahosseini, Arman & Bogdanov, Dmitrii & Caldera, Upeksha & Ghorbani, Narges & Mensah, Theophilus Nii Odai & Haas, Jannik & Muñoz-Cerón, Emilio & Breyer, Christian, 2023. "Synergies of electrical and sectoral integration: Analysing geographical multi-node scenarios with sector coupling variations for a transition towards a fully renewables-based energy system," Energy, Elsevier, vol. 279(C).
    10. Yin, Linfei & Luo, Shikui & Ma, Chenxiao, 2021. "Expandable depth and width adaptive dynamic programming for economic smart generation control of smart grids," Energy, Elsevier, vol. 232(C).
    11. Suomalainen, Kiti & Wen, Le & Sheng, Mingyue Selena & Sharp, Basil, 2022. "Climate change impact on the cost of decarbonisation in a hydro-based power system," Energy, Elsevier, vol. 246(C).
    12. 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).
    13. Wang, Xiaokui & Bamisile, Olusola & Chen, Shuheng & Xu, Xiao & Luo, Shihua & Huang, Qi & Hu, Weihao, 2022. "Decarbonization of China's electricity systems with hydropower penetration and pumped-hydro storage: Comparing the policies with a techno-economic analysis," Renewable Energy, Elsevier, vol. 196(C), pages 65-83.
    14. Nicola Franzoi & Alessandro Prada & Sara Verones & Paolo Baggio, 2021. "Enhancing PV Self-Consumption through Energy Communities in Heating-Dominated Climates," Energies, MDPI, vol. 14(14), pages 1-17, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    3. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    4. Bellocchi, S. & De Iulio, R. & Guidi, G. & Manno, M. & Nastasi, B. & Noussan, M. & Prina, M.G. & Roberto, R., 2020. "Analysis of smart energy system approach in local alpine regions - A case study in Northern Italy," Energy, Elsevier, vol. 202(C).
    5. Matteo Giacomo Prina & Giampaolo Manzolini & David Moser & Roberto Vaccaro & Wolfram Sparber, 2020. "Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios," Energies, MDPI, vol. 13(12), pages 1-22, June.
    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. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. 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).
    10. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    11. Md. Nasimul Islam Maruf, 2019. "Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective," Energies, MDPI, vol. 12(22), pages 1-35, November.
    12. Vaccaro, Roberto & Rocco, Matteo V., 2021. "Quantifying the impact of low carbon transition scenarios at regional level through soft-linked energy and economy models: The case of South-Tyrol Province in Italy," Energy, Elsevier, vol. 220(C).
    13. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).
    14. Jasmine Ramsebner & Reinhard Haas & Amela Ajanovic & Martin Wietschel, 2021. "The sector coupling concept: A critical review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(4), July.
    15. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    16. Finke, Jonas & Bertsch, Valentin, 2023. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," Applied Energy, Elsevier, vol. 332(C).
    17. Lopez, Gabriel & Aghahosseini, Arman & Child, Michael & Khalili, Siavash & Fasihi, Mahdi & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Impacts of model structure, framework, and flexibility on perspectives of 100% renewable energy transition decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    18. 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.
    19. Østergaard, Poul Alberg & Andersen, Anders N. & Sorknæs, Peter, 2022. "The business-economic energy system modelling tool energyPRO," Energy, Elsevier, vol. 257(C).
    20. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220314857. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.