IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v264y2020ics0306261920301896.html
   My bibliography  Save this article

Renewable integration for remote communities: Comparative allowable cost analyses for hydro, solar and wave energy

Author

Listed:
  • Robertson, Bryson
  • Bekker, Jessica
  • Buckham, Bradley

Abstract

Many remote communities are reliant on diesel-fueled electricity generation. The extra-ordinary logistical and financial complications in acquiring fuel often result in energy poverty. To alleviate these realities, and simultaneously mitigate noise and emissions, communities are focused on harnessing local renewable resources to achieve aggressive decarbonization and renewable energy penetration.

Suggested Citation

  • Robertson, Bryson & Bekker, Jessica & Buckham, Bradley, 2020. "Renewable integration for remote communities: Comparative allowable cost analyses for hydro, solar and wave energy," Applied Energy, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:appene:v:264:y:2020:i:c:s0306261920301896
    DOI: 10.1016/j.apenergy.2020.114677
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920301896
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2020.114677?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. Segurado, Raquel & Krajacic, Goran & Duic, Neven & Alves, Luís, 2011. "Increasing the penetration of renewable energy resources in S. Vicente, Cape Verde," Applied Energy, Elsevier, vol. 88(2), pages 466-472, February.
    2. Li, Ye & Willman, Lindsay, 2014. "Feasibility analysis of offshore renewables penetrating local energy systems in remote oceanic areas – A case study of emissions from an electricity system with tidal power in Southern Alaska," Applied Energy, Elsevier, vol. 117(C), pages 42-53.
    3. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    4. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    5. Bailey, Helen & Robertson, Bryson & Buckham, Bradley, 2018. "Variability and stochastic simulation of power from wave energy converter arrays," Renewable Energy, Elsevier, vol. 115(C), pages 721-733.
    6. Robertson, Bryson R.D. & Hiles, Clayton E. & Buckham, Bradley J., 2014. "Characterizing the near shore wave energy resource on the west coast of Vancouver Island, Canada," Renewable Energy, Elsevier, vol. 71(C), pages 665-678.
    7. 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.
    8. Choong-Ki Kim & Jodie E Toft & Michael Papenfus & Gregory Verutes & Anne D Guerry & Marry H Ruckelshaus & Katie K Arkema & Gregory Guannel & Spencer A Wood & Joanna R Bernhardt & Heather Tallis & Mark, 2012. "Catching the Right Wave: Evaluating Wave Energy Resources and Potential Compatibility with Existing Marine and Coastal Uses," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-14, November.
    9. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    10. Fairley, I. & Smith, H.C.M. & Robertson, B. & Abusara, M. & Masters, I., 2017. "Spatio-temporal variation in wave power and implications for electricity supply," Renewable Energy, Elsevier, vol. 114(PA), pages 154-165.
    11. 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.
    12. Parkinson, Simon C. & Dragoon, Ken & Reikard, Gordon & García-Medina, Gabriel & Özkan-Haller, H. Tuba & Brekken, Ted K.A., 2015. "Integrating ocean wave energy at large-scales: A study of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 76(C), pages 551-559.
    13. Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
    14. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
    15. Mendes, Gonçalo & Ioakimidis, Christos & Ferrão, Paulo, 2011. "On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4836-4854.
    16. Kannan, Ramachandran, 2011. "The development and application of a temporal MARKAL energy system model using flexible time slicing," Applied Energy, Elsevier, vol. 88(6), pages 2261-2272, June.
    17. Robertson, Bryson & Bailey, Helen & Clancy, Dan & Ortiz, Juan & Buckham, Bradley, 2016. "Influence of wave resource assessment methodology on wave energy production estimates," Renewable Energy, Elsevier, vol. 86(C), pages 1145-1160.
    18. Pinson, P. & Reikard, G. & Bidlot, J.-R., 2012. "Probabilistic forecasting of the wave energy flux," Applied Energy, Elsevier, vol. 93(C), pages 364-370.
    19. Reikard, Gordon & Robertson, Bryson & Bidlot, Jean-Raymond, 2015. "Combining wave energy with wind and solar: Short-term forecasting," Renewable Energy, Elsevier, vol. 81(C), pages 442-456.
    20. Kuang, Yonghong & Zhang, Yongjun & Zhou, Bin & Li, Canbing & Cao, Yijia & Li, Lijuan & Zeng, Long, 2016. "A review of renewable energy utilization in islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 504-513.
    21. Moazzen, Iman & Robertson, Bryson & Wild, Peter & Rowe, Andrew & Buckham, Bradley, 2016. "Impacts of large-scale wave integration into a transmission-constrained grid," Renewable Energy, Elsevier, vol. 88(C), pages 408-417.
    22. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    23. Langodan, Sabique & Viswanadhapalli, Yesubabu & Dasari, Hari Prasad & Knio, Omar & Hoteit, Ibrahim, 2016. "A high-resolution assessment of wind and wave energy potentials in the Red Sea," Applied Energy, Elsevier, vol. 181(C), pages 244-255.
    24. Teillant, Boris & Costello, Ronan & Weber, Jochem & Ringwood, John, 2012. "Productivity and economic assessment of wave energy projects through operational simulations," Renewable Energy, Elsevier, vol. 48(C), pages 220-230.
    25. Díaz, P. & Arias, C.A. & Peña, R. & Sandoval, D., 2010. "FAR from the grid: A rural electrification field study," Renewable Energy, Elsevier, vol. 35(12), pages 2829-2834.
    26. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
    27. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    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. Xu, Xinxin & Robertson, Bryson & Buckham, Bradley, 2020. "A techno-economic approach to wave energy resource assessment and development site identification," Applied Energy, Elsevier, vol. 260(C).
    2. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    3. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
    4. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Robertson, Bryson & Bailey, Helen & Leary, Matthew & Buckham, Bradley, 2021. "A methodology for architecture agnostic and time flexible representations of wave energy converter performance," Applied Energy, Elsevier, vol. 287(C).
    6. Lafleur, Charlotte & Truelove, William AL. & Cousineau, Julien & Hiles, Clayton E. & Buckham, Bradley & Crawford, Curran, 2020. "A screening method to quantify the economic viability of off-grid in-stream tidal energy deployment," Renewable Energy, Elsevier, vol. 159(C), pages 610-622.
    7. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    8. Zou, Shangyan & Robertson, Bryson & Roach, Aeron & Mundon, Tim & Rosenberg, Brian & Penalba, Markel, 2024. "Wave energy converter arrays: A methodology to assess performance considering the disturbed wave field," Renewable Energy, Elsevier, vol. 229(C).
    9. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    10. Reikard, Gordon & Robertson, Bryson & Bidlot, Jean-Raymond, 2015. "Combining wave energy with wind and solar: Short-term forecasting," Renewable Energy, Elsevier, vol. 81(C), pages 442-456.
    11. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Robertson, Bryson & Bailey, Helen & Buckham, Bradley, 2019. "Resource assessment parameterization impact on wave energy converter power production and mooring loads," Applied Energy, Elsevier, vol. 244(C), pages 1-15.
    13. Come Zebra, Emília Inês & van der Windt, Henny J. & Nhumaio, Geraldo & Faaij, André P.C., 2021. "A review of hybrid renewable energy systems in mini-grids for off-grid electrification in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    14. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    15. Cuesta, M.A. & Castillo-Calzadilla, T. & Borges, C.E., 2020. "A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    16. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
    17. Prina, Matteo Giacomo & Groppi, Daniele & Nastasi, Benedetto & Garcia, Davide Astiaso, 2021. "Bottom-up energy system models applied to sustainable islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    18. 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).
    19. 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).
    20. Satymov, Rasul & Bogdanov, Dmitrii & Dadashi, Mojtaba & Lavidas, George & Breyer, Christian, 2024. "Techno-economic assessment of global and regional wave energy resource potentials and profiles in hourly resolution," Applied Energy, Elsevier, vol. 364(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:appene:v:264:y:2020:i:c:s0306261920301896. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.