IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v8y2020i3p48-d394541.html
   My bibliography  Save this article

Financial and Economic Assessment of Tidal Stream Energy—A Case Study

Author

Listed:
  • Stocker Klaus

    (Department of International Business, Georg-Simon Ohm Institute of Technology, D-90489 Nuremberg, Germany)

Abstract

This case study is based on actual project and consultancy work, balancing real life experience with a review and analysis of empirical and theoretical literature. Tidal stream energy (TSE) is still a nascent technology, but with much better predictability than the classical alternatives of sun and wind. Being still more expensive than other renewable technologies, it is important to find locations in order to initiate a learning process to bring down cost to a competitive level as it was the case for solar and wind technologies. Locations for an initial phase of operation of TSE small islands in the Philippines (and other Asian countries) were found to be most suitable, because expensive and polluting diesel generators can be replaced and a reliable 24 h electricity supply can be established. Different appraisal methods in different scenarios show that under normal circumstances a hybrid combination of TSE, solar energy and battery storage is financially and economically superior to existing fossil energy based power stations as well as to solar energy alone. However, the traditional financial approaches are not always reliable, in spite of superficial mathematical exactness, and the parameters used must be analysed carefully, especially if we deal with innovative technologies with fast changes. In times of global warming we must also include the controversial issue of evaluating damages from greenhouse gases if choosing fossil alternatives. When evaluating and planning renewable technologies, engineering know-how is important, but insufficient. Since financing is a crucial issue for most renewable technologies with high front loaded cost and long amortisation periods, a thorough and trustworthy financial and economic analysis is necessary not only to avoid financial failure later on, but also to attract stakeholders like private investors, banks and government institutions to support a still unknown technology.

Suggested Citation

  • Stocker Klaus, 2020. "Financial and Economic Assessment of Tidal Stream Energy—A Case Study," IJFS, MDPI, vol. 8(3), pages 1-20, August.
  • Handle: RePEc:gam:jijfss:v:8:y:2020:i:3:p:48-:d:394541
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/8/3/48/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7072/8/3/48/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simone Borghesi, 2011. "The European emission trading scheme and renewable energy policies: credible targets for incredible results?," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 3(3), pages 312-327.
    2. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
    3. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    4. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    5. Hübler, Michael & Voigt, Sebastian & Löschel, Andreas, 2014. "Designing an emissions trading scheme for China—An up-to-date climate policy assessment," Energy Policy, Elsevier, vol. 75(C), pages 57-72.
    6. Federica Genovese & Endre Tvinnereim, 2019. "Who opposes climate regulation? Business preferences for the European emission trading scheme," The Review of International Organizations, Springer, vol. 14(3), pages 511-542, September.
    7. Lewis, Matt & McNaughton, James & Márquez-Dominguez, Concha & Todeschini, Grazia & Togneri, Michael & Masters, Ian & Allmark, Matthew & Stallard, Tim & Neill, Simon & Goward-Brown, Alice & Robins, Pet, 2019. "Power variability of tidal-stream energy and implications for electricity supply," Energy, Elsevier, vol. 183(C), pages 1061-1074.
    8. Goodin, Robert E., 1982. "Discounting Discounting," Journal of Public Policy, Cambridge University Press, vol. 2(1), pages 53-71, February.
    9. Roth, Ian F. & Ambs, Lawrence L., 2004. "Incorporating externalities into a full cost approach to electric power generation life-cycle costing," Energy, Elsevier, vol. 29(12), pages 2125-2144.
    10. Yang, Lin & Li, Fengyu & Zhang, Xian, 2016. "Chinese companies’ awareness and perceptions of the Emissions Trading Scheme (ETS): Evidence from a national survey in China," Energy Policy, Elsevier, vol. 98(C), pages 254-265.
    11. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    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. Manuel Corrales-Gonzalez & George Lavidas & Giovanni Besio, 2023. "Feasibility of Wave Energy Harvesting in the Ligurian Sea, Italy," Sustainability, MDPI, vol. 15(11), pages 1-22, June.
    2. Zoe Goss & Daniel Coles & Matthew Piggott, 2021. "Economic analysis of tidal stream turbine arrays: a review," Papers 2105.04718, arXiv.org.
    3. Rachna, & Singh, Amit Kumar, 2024. "Analyzing policy interventions to stimulate suitable energy sources for the most polluted states of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).

    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. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
    2. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    3. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    4. Bradrania, Reza & Veron, Jose Francisco, 2023. "The beta anomaly in the Australian stock market and the lottery demand," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    5. Clive J Stones, "undated". "Risk Sharing, the Cost of Equity and the Optimal Capital Structure of the Regulated Firm," Discussion Papers 05/31, Department of Economics, University of York.
    6. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    7. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    8. Furman, Edward & Zitikis, Ricardas, 2008. "Weighted risk capital allocations," Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 263-269, October.
    9. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    10. Bai, Jushan & Ando, Tomohiro, 2013. "Multifactor asset pricing with a large number of observable risk factors and unobservable common and group-specific factors," MPRA Paper 52785, University Library of Munich, Germany, revised Dec 2013.
    11. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    12. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    13. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    14. Leitner Johannes, 2005. "Optimal portfolios with expected loss constraints and shortfall risk optimal martingale measures," Statistics & Risk Modeling, De Gruyter, vol. 23(1/2005), pages 49-66, January.
    15. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2014. "South Korean energy scenarios show how nuclear power can reduce future energy and environmental costs," Energy Policy, Elsevier, vol. 74(C), pages 569-578.
    16. Lucey, Brian & Yahya, Muhammad & Khoja, Layla & Uddin, Gazi Salah & Ahmed, Ali, 2024. "Interconnectedness and risk profile of hydrogen against major asset classes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    17. Richard T. Baillie & Fabio Calonaci & George Kapetanios, 2019. "Hierarchical Time Varying Estimation of a Multi Factor Asset Pricing Model," Working Papers 879, Queen Mary University of London, School of Economics and Finance.
    18. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    19. Coudert, Virginie & Gex, Mathieu, 2008. "Does risk aversion drive financial crises? Testing the predictive power of empirical indicators," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 167-184, March.
    20. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.

    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:gam:jijfss:v:8:y:2020:i:3:p:48-:d:394541. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.