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Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities

Author

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  • Arslan Ahmad Bashir

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

  • Andreas Lund

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
    Granlund Consulting Ltd., 00700 Helsinki, Finland)

  • Mahdi Pourakbari-Kasmaei

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

Abstract

To achieve a successful integration of fluctuating renewable power generation, the power-to-heat (P2H) conversion is seen as an efficient solution that remedies the issue of curtailments as well as reduces carbon emissions prevailing in the district heating (DH) sector. Concurrently, the need for storage is also increasing to maintain a continuous power supply. Hence, this paper presents a MILP-based model to optimize the size of thermal storage required to satisfy the annual DH demand of a community solely by P2H conversion employing renewable energy. The DH is supplied by the optimal operation of a novel 2-km deep well heat pump system (DWHP) equipped with thermal storage. To avoid computational intractability, representative time steps with varying time duration are chosen by employing hierarchical agglomerative clustering that aggregates adjacent hours chronologically. The value of demand response and the effect of interannual weather variability are also analyzed. Numerical results from a Finnish case study show that P2H conversion utilizing small thermal storage in tandem with the DWHP is able to cover the annual DH demand, thus leading to a carbon-neutral DH system and, at the same time, mitigating the curtailment of excessive wind generation. Compared with the annual DH demand, an average thermal storage size of 29.17 MWh (2.58%) and 13.99 MWh (1.24%) are required in the business-as-usual and the demand response cases, respectively.

Suggested Citation

  • Arslan Ahmad Bashir & Andreas Lund & Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2021. "Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities," Energies, MDPI, vol. 14(7), pages 1-20, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1911-:d:526988
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    References listed on IDEAS

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    1. Ekström, Jussi & Koivisto, Matti & Mellin, Ilkka & Millar, John & Saarijärvi, Eero & Haarla, Liisa, 2015. "Assessment of large scale wind power generation with new generation locations without measurement data," Renewable Energy, Elsevier, vol. 83(C), pages 362-374.
    2. Tom Brijs & Arne van Stiphout & Sauleh Siddiqui & Ronnie Belmans, 2016. "Evaluating the Role of Electricity Storage by Considering Short-Term Operation in Long-Term Planning," Discussion Papers of DIW Berlin 1624, DIW Berlin, German Institute for Economic Research.
    3. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    4. Sannamari Pilpola & Vahid Arabzadeh & Jani Mikkola & Peter D. Lund, 2019. "Analyzing National and Local Pathways to Carbon-Neutrality from Technology, Emissions, and Resilience Perspectives—Case of Finland," Energies, MDPI, vol. 12(5), pages 1-22, March.
    5. Peter D. Lund & Klaus Skytte & Simon Bolwig & Torjus Folsland Bolkesjö & Claire Bergaentzlé & Philipp Andreas Gunkel & Jon Gustav Kirkerud & Antje Klitkou & Hardi Koduvere & Armands Gravelsins & Dagni, 2019. "Pathway Analysis of a Zero-Emission Transition in the Nordic-Baltic Region," Energies, MDPI, vol. 12(17), pages 1-20, August.
    6. Mubbashir Ali & Jussi Ekström & Matti Lehtonen, 2018. "Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems," Energies, MDPI, vol. 11(5), pages 1-11, May.
    7. Arslan Ahmad Bashir & Mahdi Pourakbari Kasmaei & Amir Safdarian & Matti Lehtonen, 2018. "Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building," Energies, MDPI, vol. 11(9), pages 1-16, September.
    8. Mikkola, Jani & Lund, Peter D., 2016. "Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes," Energy, Elsevier, vol. 112(C), pages 364-375.
    9. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    10. Frew, Bethany A. & Jacobson, Mark Z., 2016. "Temporal and spatial tradeoffs in power system modeling with assumptions about storage: An application of the POWER model," Energy, Elsevier, vol. 117(P1), pages 198-213.
    11. Holmberg, Henrik & Acuña, José & Næss, Erling & Sønju, Otto K., 2016. "Thermal evaluation of coaxial deep borehole heat exchangers," Renewable Energy, Elsevier, vol. 97(C), pages 65-76.
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    2. Dhirendran Munith Kumar & Pietro Catrini & Antonio Piacentino & Maurizio Cirrincione, 2023. "Integrated Thermodynamic and Control Modeling of an Air-to-Water Heat Pump for Estimating Energy-Saving Potential and Flexibility in the Building Sector," Sustainability, MDPI, vol. 15(11), pages 1-23, May.

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