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A Decision Support System for Public Funding of Experimental Development in Energy Research

Author

Listed:
  • Simon Hirzel

    (Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Str. 48, 76139 Karlsruhe, Germany)

  • Tim Hettesheimer

    (Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Str. 48, 76139 Karlsruhe, Germany)

  • Peter Viebahn

    (Wuppertal Institut für Klima, Umwelt, Energie, Döppersberg 19, 42103 Wuppertal, Germany)

  • Manfred Fischedick

    (Wuppertal Institut für Klima, Umwelt, Energie, Döppersberg 19, 42103 Wuppertal, Germany)

Abstract

New energy technologies may fail to make the transition to the market once research funding has ended due to a lack of private engagement to conclude their development. Extending public funding to cover such experimental developments could be one way to improve this transition. However, identifying promising research and development (R&D) proposals for this purpose is a difficult task for the following reasons: Close-to-market implementations regularly require substantial resources while public budgets are limited; the allocation of public funds needs to be fair, open, and documented; the evaluation is complex and subject to public sector regulations for public engagement in R&D funding. This calls for a rigorous evaluation process. This paper proposes an operational three-staged decision support system (DSS) to assist decision-makers in public funding institutions in the ex-ante evaluation of R&D proposals for large-scale close-to-market projects in energy research. The system was developed based on a review of literature and related approaches from practice combined with a series of workshops with practitioners from German public funding institutions. The results confirm that the decision-making process is a complex one that is not limited to simply scoring R&D proposals. Decision-makers also have to deal with various additional issues such as determining the state of technological development, verifying market failures or considering existing funding portfolios. The DSS that is suggested in this paper is unique in the sense that it goes beyond mere multi-criteria aggregation procedures and addresses these issues as well to help guide decision-makers in public institutions through the evaluation process.

Suggested Citation

  • Simon Hirzel & Tim Hettesheimer & Peter Viebahn & Manfred Fischedick, 2018. "A Decision Support System for Public Funding of Experimental Development in Energy Research," Energies, MDPI, vol. 11(6), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1357-:d:149123
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    References listed on IDEAS

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    1. Benedetto Lepori & Peter van den Besselaar & Michael Dinges & Barend van der Meulen & Bianca Potì & Emanuela Reale & Stig Slipersaeter & Jean Theves, 2007. "Indicators for comparative analysis of public project funding: concepts, implementation and evaluation," Research Evaluation, Oxford University Press, vol. 16(4), pages 243-255, December.
    2. Nestor Duch-Brown & Jose Garcia-Quevedo & Daniel Montolio, 2008. "Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?," Working Papers in Economics 207, Universitat de Barcelona. Espai de Recerca en Economia.
    3. Elise S Brezis, 2007. "Focal randomisation: An optimal mechanism for the evaluation of R&D projects," Science and Public Policy, Oxford University Press, vol. 34(10), pages 691-698, December.
    4. William Bonvillian & Richard Atta, 2011. "ARPA-E and DARPA: Applying the DARPA model to energy innovation," The Journal of Technology Transfer, Springer, vol. 36(5), pages 469-513, October.
    5. Hake, Jürgen-Friedrich & Fischer, Wolfgang & Venghaus, Sandra & Weckenbrock, Christoph, 2015. "The German Energiewende – History and status quo," Energy, Elsevier, vol. 92(P3), pages 532-546.
    6. Nestor Duch-Brown & Jose Garcia-Quevedo & Daniel Montolio, 2008. "Assessing the assignation of public subsidies: Do the experts choose the most efficient R&D projects?," Working Papers in Economics 207, Universitat de Barcelona. Espai de Recerca en Economia.
    7. Roper, Stephen & Hewitt-Dundas, Nola & Love, James H., 2004. "An ex ante evaluation framework for the regional benefits of publicly supported R&D projects," Research Policy, Elsevier, vol. 33(3), pages 487-509, April.
    8. Nadika A. Bulathsinhala, 2015. "Ex-ante evaluation of publicly funded R&D projects: Searching for exploration," Science and Public Policy, Oxford University Press, vol. 42(2), pages 162-175.
    9. Jako Jellema & Henk A. J. Mulder, 2016. "Public Engagement in Energy Research," Energies, MDPI, vol. 9(3), pages 1-19, February.
    10. Bointner, Raphael, 2014. "Innovation in the energy sector: Lessons learnt from R&D expenditures and patents in selected IEA countries," Energy Policy, Elsevier, vol. 73(C), pages 733-747.
    11. Braun, Dietmar, 1998. "The role of funding agencies in the cognitive development of science," Research Policy, Elsevier, vol. 27(8), pages 807-821, December.
    12. Wei-dong Zhu & Fang Liu & Yu-wang Chen & Jian-bo Yang & Dong-ling Xu & Dong-peng Wang, 2015. "Research project evaluation and selection: an evidential reasoning rule-based method for aggregating peer review information with reliabilities," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1469-1490, December.
    13. Åhman, Max & Skjærseth, Jon Birger & Eikeland, Per Ove, 2018. "Demonstrating climate mitigation technologies: An early assessment of the NER 300 programme," Energy Policy, Elsevier, vol. 117(C), pages 100-107.
    14. Solak, Senay & Clarke, John-Paul B. & Johnson, Ellis L. & Barnes, Earl R., 2010. "Optimization of R&D project portfolios under endogenous uncertainty," European Journal of Operational Research, Elsevier, vol. 207(1), pages 420-433, November.
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    3. J. M. Santos & H. Horta & H. Luna, 2022. "The relationship between academics’ strategic research agendas and their preferences for basic research, applied research, or experimental development," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4191-4225, July.

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