IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v202y2023icp320-335.html
   My bibliography  Save this article

Introducing site selection flexibility to technical and economic onshore wind potential assessments: New method with application to Indonesia

Author

Listed:
  • Langer, Jannis
  • Zaaijer, Michiel
  • Quist, Jaco
  • Blok, Kornelis

Abstract

Onshore wind potentials are commonly mapped with site selection criteria that either fully include or exclude land for wind farms. However, current research rarely addresses the variability of these criteria, possibly resulting in overly conservative or optimistic potentials. This paper proposes a method to account for the variability of site selection criteria in resource assessments. We distinguish between static and flexible, non-binary criteria and assess onshore wind's technical and economic potential with bias-corrected ERA5 data, 28 turbine power curves, and a turbine-specific cost model. For Indonesia, we show that our flexible mapping approach improves the transparency of resource potential assessments and could contribute to more informed and useful recommendations. These recommendations could address the (1) calibration of site exclusion thresholds, (2) dilemmas of preferring one land type over others, (3) location-specific challenges of wind farm deployment, and (4) more direct support schemes for affected stakeholders and wind farm operators.. We report a technical potential of 207–1,994 TWh/year in Indonesia, which could cover more than 50% of 2030 electricity demand on all islands. LCOEs range between 5.8 and 24.5 US¢(2021)/kWh with an economic potential of 16 TWh/year, which improves to 31–212 TWh/year with a carbon tax of 100 US$(2021)/tCO2e.

Suggested Citation

  • Langer, Jannis & Zaaijer, Michiel & Quist, Jaco & Blok, Kornelis, 2023. "Introducing site selection flexibility to technical and economic onshore wind potential assessments: New method with application to Indonesia," Renewable Energy, Elsevier, vol. 202(C), pages 320-335.
    • Handle: RePEc:eee:renene:v:202:y:2023:i:c:p:320-335
    DOI: 10.1016/j.renene.2022.11.084
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122017244
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.11.084?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. Reyseliani, Nadhilah & Purwanto, Widodo Wahyu, 2021. "Pathway towards 100% renewable energy in Indonesia power system by 2050," Renewable Energy, Elsevier, vol. 176(C), pages 305-321.
    2. Gruber, Katharina & Regner, Peter & Wehrle, Sebastian & Zeyringer, Marianne & Schmidt, Johannes, 2022. "Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the global wind atlas," Energy, Elsevier, vol. 238(PA).
    3. Burke, Paul J. & Widnyana, Jinnie & Anjum, Zeba & Aisbett, Emma & Resosudarmo, Budy & Baldwin, Kenneth G.H., 2019. "Overcoming barriers to solar and wind energy adoption in two Asian giants: India and Indonesia," Energy Policy, Elsevier, vol. 132(C), pages 1216-1228.
    4. Hoogwijk, Monique & de Vries, Bert & Turkenburg, Wim, 2004. "Assessment of the global and regional geographical, technical and economic potential of onshore wind energy," Energy Economics, Elsevier, vol. 26(5), pages 889-919, September.
    5. 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.
    6. Kena Likassa Nefabas & Lennart Söder & Mengesha Mamo & Jon Olauson, 2021. "Modeling of Ethiopian Wind Power Production Using ERA5 Reanalysis Data," Energies, MDPI, vol. 14(9), pages 1-17, April.
    7. Ryberg, David Severin & Tulemat, Zena & Stolten, Detlef & Robinius, Martin, 2020. "Uniformly constrained land eligibility for onshore European wind power," Renewable Energy, Elsevier, vol. 146(C), pages 921-931.
    8. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    9. Wehrle, Sebastian & Gruber, Katharina & Schmidt, Johannes, 2021. "The cost of undisturbed landscapes," Energy Policy, Elsevier, vol. 159(C).
    10. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2017. "Temporally-explicit and spatially-resolved global onshore wind energy potentials," Energy, Elsevier, vol. 131(C), pages 207-217.
    11. 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.
    12. Ryberg, David Severin & Caglayan, Dilara Gulcin & Schmitt, Sabrina & Linßen, Jochen & Stolten, Detlef & Robinius, Martin, 2019. "The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs," Energy, Elsevier, vol. 182(C), pages 1222-1238.
    13. Erkka Rinne & Hannele Holttinen & Juha Kiviluoma & Simo Rissanen, 2018. "Effects of turbine technology and land use on wind power resource potential," Nature Energy, Nature, vol. 3(6), pages 494-500, June.
    14. Jannis Langer & Jaco Quist & Kornelis Blok, 2021. "Review of Renewable Energy Potentials in Indonesia and Their Contribution to a 100% Renewable Electricity System," Energies, MDPI, vol. 14(21), pages 1-21, October.
    15. Lopez, Anthony & Mai, Trieu & Lantz, Eric & Harrison-Atlas, Dylan & Williams, Travis & Maclaurin, Galen, 2021. "Land use and turbine technology influences on wind potential in the United States," Energy, Elsevier, vol. 223(C).
    16. Yue, Cheng-Dar & Yang, Min-How, 2009. "Exploring the potential of wind energy for a coastal state," Energy Policy, Elsevier, vol. 37(10), pages 3925-3940, October.
    17. González-Aparicio, I. & Monforti, F. & Volker, P. & Zucker, A. & Careri, F. & Huld, T. & Badger, J., 2017. "Simulating European wind power generation applying statistical downscaling to reanalysis data," Applied Energy, Elsevier, vol. 199(C), pages 155-168.
    18. Chu, Cheng-Ta & Hawkes, Adam D., 2020. "A geographic information system-based global variable renewable potential assessment using spatially resolved simulation," Energy, Elsevier, vol. 193(C).
    19. Sliz-Szkliniarz, B. & Eberbach, J. & Hoffmann, B. & Fortin, M., 2019. "Assessing the cost of onshore wind development scenarios: Modelling of spatial and temporal distribution of wind power for the case of Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 514-531.
    20. Schallenberg-Rodríguez, Julieta & Notario-del Pino, Jesús, 2014. "Evaluation of on-shore wind techno-economical potential in regions and islands," Applied Energy, Elsevier, vol. 124(C), pages 117-129.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    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. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    2. 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.
    3. Hedenus, F. & Jakobsson, N. & Reichenberg, L. & Mattsson, N., 2022. "Historical wind deployment and implications for energy system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Gualtieri, G., 2022. "Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Mai, Trieu & Lopez, Anthony & Mowers, Matthew & Lantz, Eric, 2021. "Interactions of wind energy project siting, wind resource potential, and the evolution of the U.S. power system," Energy, Elsevier, vol. 223(C).
    6. Reinhold Lehneis & Daniela Thrän, 2023. "Temporally and Spatially Resolved Simulation of the Wind Power Generation in Germany," Energies, MDPI, vol. 16(7), pages 1-16, April.
    7. Kies, Alexander & Schyska, Bruno U. & Bilousova, Mariia & El Sayed, Omar & Jurasz, Jakub & Stoecker, Horst, 2021. "Critical review of renewable generation datasets and their implications for European power system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    8. Jung, Christopher & Schindler, Dirk, 2022. "On the influence of wind speed model resolution on the global technical wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    9. Dylan Harrison-Atlas & Galen Maclaurin & Eric Lantz, 2021. "Spatially-Explicit Prediction of Capacity Density Advances Geographic Characterization of Wind Power Technical Potential," Energies, MDPI, vol. 14(12), pages 1-28, June.
    10. McKenna, Russell & Weinand, Jann Michael & Mulalic, Ismir & Petrovic, Stefan & Mainzer, Kai & Preis, Tobias & Moat, Helen Susannah, 2020. "Improving renewable energy resource assessments by quantifying landscape beauty," Working Paper Series in Production and Energy 43, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    11. Lopez, Anthony & Mai, Trieu & Lantz, Eric & Harrison-Atlas, Dylan & Williams, Travis & Maclaurin, Galen, 2021. "Land use and turbine technology influences on wind potential in the United States," Energy, Elsevier, vol. 223(C).
    12. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    13. Muñoz Ortiz, Miguel & Kvalbein, Lisa & Hellemo, Lars, 2021. "Evaluation of open photovoltaic and wind production time series for Norwegian locations," Energy, Elsevier, vol. 236(C).
    14. de Aquino Ferreira, Saulo Custodio & Cyrino Oliveira, Fernando Luiz & Maçaira, Paula Medina, 2022. "Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory," Energy, Elsevier, vol. 258(C).
    15. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2018. "Temporally explicit and spatially resolved global offshore wind energy potentials," Energy, Elsevier, vol. 163(C), pages 766-781.
    16. Satymov, Rasul & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Global-local analysis of cost-optimal onshore wind turbine configurations considering wind classes and hub heights," Energy, Elsevier, vol. 256(C).
    17. Hayes, Liam & Stocks, Matthew & Blakers, Andrew, 2021. "Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis," Energy, Elsevier, vol. 229(C).
    18. Lehmann, Paul & Tafarte, Philip, 2023. "The opportunity costs of environmental exclusion zones for renewable energy deployment," UFZ Discussion Papers 2/2023, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    19. Gruber, Katharina & Regner, Peter & Wehrle, Sebastian & Zeyringer, Marianne & Schmidt, Johannes, 2022. "Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the global wind atlas," Energy, Elsevier, vol. 238(PA).
    20. Jain, Anjali & Das, Partha & Yamujala, Sumanth & Bhakar, Rohit & Mathur, Jyotirmay, 2020. "Resource potential and variability assessment of solar and wind energy in India," Energy, Elsevier, vol. 211(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:renene:v:202:y:2023:i:c:p:320-335. 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/renewable-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.