IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v294y2021ics0306261921004360.html
   My bibliography  Save this article

Characterizing weather-related biophysical and financial risks in algal biofuel production

Author

Listed:
  • Kleiman, Rachel M.
  • Characklis, Gregory W.
  • Kern, Jordan D.
  • Gerlach, Robin

Abstract

Algal biofuels are a renewable liquid fuel with advantages over crop-based biofuels, including higher yield per acre, the ability to recycle production inputs, and the option to create valuable co-products. Previous analyses suggest that algal biofuels could become cost-competitive if technological improvements are achieved. Most previous research, however, does not consider the impact of seasonal and year-to-year uncertainty in weather factors, such as solar irradiance and temperature, on biomass productivity, and those that do are based on limited meteorological records. This study explores the influence of weather uncertainty on biomass growth and biorefinery revenues as well as impacts from market price uncertainty. The performance of a hypothetical algal biorefinery in Vero Beach, Florida is explored by combining stochastic weather generation, biophysical growth modelling, stochastic market price generation, and techno-economic analysis. Results show coefficient of variation values of 8–15% in seasonal revenues for an algae producer, and that the variation in annual revenues was lower than that of corn, soybean, and cotton. In sensitivity analyses, both weather and price fluctuations are found to be significant sources of financial risk. This is the first probabilistic quantification of weather-related production impacts for algae producers, which is relevant given global growth in the algae industry as evidenced by the new eligibility of algae for crop insurance in the US 2018 Farm Bill.

Suggested Citation

  • Kleiman, Rachel M. & Characklis, Gregory W. & Kern, Jordan D. & Gerlach, Robin, 2021. "Characterizing weather-related biophysical and financial risks in algal biofuel production," Applied Energy, Elsevier, vol. 294(C).
  • Handle: RePEc:eee:appene:v:294:y:2021:i:c:s0306261921004360
    DOI: 10.1016/j.apenergy.2021.116960
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921004360
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.116960?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. Lucheroni, Carlo & Boland, John & Ragno, Costantino, 2019. "Scenario generation and probabilistic forecasting analysis of spatio-temporal wind speed series with multivariate autoregressive volatility models," Applied Energy, Elsevier, vol. 239(C), pages 1226-1241.
    2. Safi, Carl & Zebib, Bachar & Merah, Othmane & Pontalier, Pierre-Yves & Vaca-Garcia, Carlos, 2014. "Morphology, composition, production, processing and applications of Chlorella vulgaris: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 265-278.
    3. Subhadra, Bobban G., 2011. "Water management policies for the algal biofuel sector in the Southwestern United States," Applied Energy, Elsevier, vol. 88(10), pages 3492-3498.
    4. Behera, Bunushree & Aly, Nazimdhine & P., Balasubramanian, 2018. "Biophysical modeling of microalgal cultivation in open ponds," Ecological Modelling, Elsevier, vol. 388(C), pages 61-71.
    5. Banerjee, Sanjukta & Banerjee, Srijoni & Ghosh, Ananta K. & Das, Debabrata, 2020. "Maneuvering the genetic and metabolic pathway for improving biofuel production in algae: Present status and future prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    6. Cruce, Jesse R. & Quinn, Jason C., 2019. "Economic viability of multiple algal biorefining pathways and the impact of public policies," Applied Energy, Elsevier, vol. 233, pages 735-746.
    7. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432.
    8. Brennan, Liam & Owende, Philip, 2010. "Biofuels from microalgae--A review of technologies for production, processing, and extractions of biofuels and co-products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 557-577, February.
    9. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    10. Coble, Keith H. & Dismukes, Robert & Thomas, Sarah E., 2007. "Policy Implications of Crop Yield and Revenue Variability at Differing Levels of Disaggregation," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9759, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Darvehei, Pooya & Bahri, Parisa A. & Moheimani, Navid R., 2018. "Model development for the growth of microalgae: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 233-258.
    12. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    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. Kleiman, Rachel M. & Characklis, Gregory W. & Kern, Jordan D., 2022. "Managing weather- and market price-related financial risks in algal biofuel production," Renewable Energy, Elsevier, vol. 200(C), pages 111-124.
    2. Beata Brzychczyk & Jan Giełżecki & Krzysztof Kijanowski & Tomasz Hebda & Filip Rzepka, 2023. "Automation of the Photobioreactor Lighting System to Manage Light Distribution in Microalgae Cultures," Energies, MDPI, vol. 16(20), pages 1-20, October.
    3. Motasem Y. D. Alazaiza & Ahmed Albahnasawi & Tahra Al Maskari & Mohammed Shadi S. Abujazar & Mohammed J. K. Bashir & Dia Eddin Nassani & Salem S. Abu Amr, 2023. "Biofuel Production Using Cultivated Algae: Technologies, Economics, and Its Environmental Impacts," Energies, MDPI, vol. 16(3), pages 1-27, January.

    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. Behera, Bunushree & Unpaprom, Yuwalee & Ramaraj, Rameshprabu & Maniam, Gaanty Pragas & Govindan, Natanamurugaraj & Paramasivan, Balasubramanian, 2021. "Integrated biomolecular and bioprocess engineering strategies for enhancing the lipid yield from microalgae," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    2. Kucherenko, Sergei & Song, Shufang & Wang, Lu, 2019. "Quantile based global sensitivity measures," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 35-48.
    3. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    4. Plischke, Elmar & Borgonovo, Emanuele, 2019. "Copula theory and probabilistic sensitivity analysis: Is there a connection?," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1046-1059.
    5. Stefano Cucurachi & Carlos Felipe Blanco & Bernhard Steubing & Reinout Heijungs, 2022. "Implementation of uncertainty analysis and moment‐independent global sensitivity analysis for full‐scale life cycle assessment models," Journal of Industrial Ecology, Yale University, vol. 26(2), pages 374-391, April.
    6. Yun, Wanying & Lu, Zhenzhou & Feng, Kaixuan & Li, Luyi, 2019. "An elaborate algorithm for analyzing the Borgonovo moment-independent sensitivity by replacing the probability density function estimation with the probability estimation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 99-108.
    7. Broto, Baptiste & Bachoc, François & Depecker, Marine & Martinez, Jean-Marc, 2019. "Sensitivity indices for independent groups of variables," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 163(C), pages 19-31.
    8. Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2019. "Reverse sensitivity testing: What does it take to break the model?," European Journal of Operational Research, Elsevier, vol. 274(2), pages 654-670.
    9. Song, Xiaodong & Bryan, Brett A. & Almeida, Auro C. & Paul, Keryn I. & Zhao, Gang & Ren, Yin, 2013. "Time-dependent sensitivity of a process-based ecological model," Ecological Modelling, Elsevier, vol. 265(C), pages 114-123.
    10. López-Benito, Alfredo & Bolado-Lavín, Ricardo, 2017. "A case study on global sensitivity analysis with dependent inputs: The natural gas transmission model," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 11-21.
    11. Yun, Wanying & Lu, Zhenzhou & Jiang, Xian, 2019. "An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy," Reliability Engineering and System Safety, Elsevier, vol. 187(C), pages 174-182.
    12. Severo, Ihana Aguiar & Siqueira, Stefania Fortes & Deprá, Mariany Costa & Maroneze, Mariana Manzoni & Zepka, Leila Queiroz & Jacob-Lopes, Eduardo, 2019. "Biodiesel facilities: What can we address to make biorefineries commercially competitive?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 686-705.
    13. Emanuele Borgonovo & Gordon B. Hazen & Elmar Plischke, 2016. "A Common Rationale for Global Sensitivity Measures and Their Estimation," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1871-1895, October.
    14. Talebiyan, Hesam & Dueñas-Osorio, Leonardo, 2023. "Auctions for resource allocation and decentralized restoration of interdependent networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    15. Soha Saad & Florence Ossart & Jean Bigeon & Etienne Sourdille & Harold Gance, 2021. "Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study," Energies, MDPI, vol. 14(19), pages 1-29, October.
    16. Takeshita, Takayuki, 2011. "Competitiveness, role, and impact of microalgal biodiesel in the global energy future," Applied Energy, Elsevier, vol. 88(10), pages 3481-3491.
    17. Liu, Xing & Ferrario, Elisa & Zio, Enrico, 2019. "Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 423-434.
    18. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    19. Hoseyni, Seyed Mohsen & Pourgol-Mohammad, Mohammad & Tehranifard, Ali Abbaspour & Yousefpour, Faramarz, 2014. "A systematic framework for effective uncertainty assessment of severe accident calculations; Hybrid qualitative and quantitative methodology," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 22-35.
    20. Bosetti, Valentina & Marangoni, Giacomo & Borgonovo, Emanuele & Diaz Anadon, Laura & Barron, Robert & McJeon, Haewon C. & Politis, Savvas & Friley, Paul, 2015. "Sensitivity to energy technology costs: A multi-model comparison analysis," Energy Policy, Elsevier, vol. 80(C), pages 244-263.

    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:294:y:2021:i:c:s0306261921004360. 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.