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Spatial concentration of renewables in energy system optimization models

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  • Lohr, C.
  • Schlemminger, M.
  • Peterssen, F.
  • Bensmann, A.
  • Niepelt, R.
  • Brendel, R.
  • Hanke-Rauschenbach, R.

Abstract

Energy system models with high resolutions for time and space can contribute to establishing technically feasible and economically viable energy system designs with high shares of renewable energy. However, the spatial concentration of renewables in cost-optimal spatially-distributed model results is a known effect which provides solutions with low public acceptance and often in contrast to political goals. Existing approaches focus on either cost-optimality or equity, whereas integrated methods to establish energy system designs with low costs and a fair distribution of renewable energy are scarce. In this study, we analyze the spatial concentration in a cost-optimal energy system model to identify the most relevant parameters for renewable distribution. Furthermore, two model extensions are presented to overcome this concentration. First, we examine the standard approach of regional average solar and onshore wind energy yields. We find that the intra-regional energy yield distribution can reduce extreme renewable distributions. Second, we consider quadratic environmental costs as the result of space resistance due to land consumption by renewable energy capacities. This approach sets incentives for the partial utilization of capacity potential, thereby reducing spatial concentration of renewable energy. Both model extensions highlight the importance of the renewable energy potential.

Suggested Citation

  • Lohr, C. & Schlemminger, M. & Peterssen, F. & Bensmann, A. & Niepelt, R. & Brendel, R. & Hanke-Rauschenbach, R., 2022. "Spatial concentration of renewables in energy system optimization models," Renewable Energy, Elsevier, vol. 198(C), pages 144-154.
    • Handle: RePEc:eee:renene:v:198:y:2022:i:c:p:144-154
    DOI: 10.1016/j.renene.2022.07.144
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    1. Burandt, Thorsten & Xiong, Bobby & Löffler, Konstantin & Oei, Pao-Yu, 2019. "Decarbonizing China’s energy system – Modeling the transformation of the electricity, transportation, heat, and industrial sectors," Applied Energy, Elsevier, vol. 255(C).
    2. Zozmann, Elmar & Göke, Leonard & Kendziorski, Mario & Rodriguez del Angel, Citlali & von Hirschhausen, Christian & Winkler, Johanna, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(3).
    3. J. K. Lundquist & K. K. DuVivier & D. Kaffine & J. M. Tomaszewski, 2019. "Publisher Correction: Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development," Nature Energy, Nature, vol. 4(3), pages 251-251, March.
    4. Elmar Zozmann & Leonard Göke & Mario Kendziorski & Citlali Rodriguez del Angel & Christian von Hirschhausen & Johanna Winkler, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," Energies, MDPI, vol. 14(3), pages 1-17, January.
    5. J. K. Lundquist & K. K. DuVivier & D. Kaffine & J. M. Tomaszewski, 2019. "Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development," Nature Energy, Nature, vol. 4(1), pages 26-34, January.
    6. Gils, Hans Christian & Scholz, Yvonne & Pregger, Thomas & Luca de Tena, Diego & Heide, Dominik, 2017. "Integrated modelling of variable renewable energy-based power supply in Europe," Energy, Elsevier, vol. 123(C), pages 173-188.
    7. Langer, Katharina & Decker, Thomas & Roosen, Jutta & Menrad, Klaus, 2016. "A qualitative analysis to understand the acceptance of wind energy in Bavaria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 248-259.
    8. O'Sullivan, Marlene & Edler, Dietmar, 2020. "Gross Employment Effects in the Renewable Energy Industry in Germany : An Input–Output Analysis from 2000 to 2018," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(15).
    9. Bjørnebye, Henrik & Hagem, Cathrine & Lind, Arne, 2018. "Optimal location of renewable power," Energy, Elsevier, vol. 147(C), pages 1203-1215.
    10. Marlon Schlemminger & Raphael Niepelt & Rolf Brendel, 2021. "A Cross-Country Model for End-Use Specific Aggregated Household Load Profiles," Energies, MDPI, vol. 14(8), pages 1-24, April.
    11. Frysztacki, Martha Maria & Hörsch, Jonas & Hagenmeyer, Veit & Brown, Tom, 2021. "The strong effect of network resolution on electricity system models with high shares of wind and solar," Applied Energy, Elsevier, vol. 291(C).
    12. Peter Lopion & Peter Markewitz & Detlef Stolten & Martin Robinius, 2019. "Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects," Energies, MDPI, vol. 12(20), pages 1-12, October.
    13. Jan-Philipp Sasse & Evelina Trutnevyte, 2020. "Regional impacts of electricity system transition in Central Europe until 2035," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    14. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    15. Martin Drechsler & Jonas Egerer & Martin Lange & Frank Masurowski & Jürgen Meyerhoff & Malte Oehlmann, 2017. "Efficient and equitable spatial allocation of renewable power plants at the country scale," Nature Energy, Nature, vol. 2(9), pages 1-9, September.
    16. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    17. David Severin Ryberg & Martin Robinius & Detlef Stolten, 2018. "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe," Energies, MDPI, vol. 11(5), pages 1-19, May.
    18. Burandt, Thorsten & Xiong, Bobby & Löffler, Konstantin & Oei, Pao-Yu, 2019. "Decarbonizing China’s energy system – Modeling the transformation of the electricity, transportation, heat, and industrial sectors," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 255, pages 1-17.
    19. Marlene O’Sullivan & Dietmar Edler, 2020. "Gross Employment Effects in the Renewable Energy Industry in Germany—An Input–Output Analysis from 2000 to 2018," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
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