Arbeitspapier

The Effects of Expert Selection, Elicitation Design, and R&D Assumptions on Experts’ Estimates of the Future Costs of Photovoltaics

Expert elicitations of future energy technology costs can improve energy policy design by explicitly characterizing uncertainty. However, the recent proliferation of expert elicitation studies raises questions about the reliability and comparability of the results. In this paper, we standardize disparate expert elicitation data from five EU and US studies, involving 65 experts, of the future costs of photovoltaics (PV) and evaluate the impact of expert and study characteristics on the elicited metrics. The results for PV suggest that in-person elicitations are associated with more optimistic 2030 PV cost estimates and in some models with a larger range of uncertainty than online elicitations. Unlike in previous results on nuclear power, expert affiliation type and nationality do not affect central estimates. Some specifications suggest that EU experts are more optimistic about breakthroughs, but they are also less confident in that they provide larger ranges of estimates than do US experts. Higher R&D investment is associated with lower future costs. Rather than increasing confidence, high R&D increases uncertainty about future costs, mainly because it improves the base case (low cost) outcomes more than it improves the worst case (high cost) outcomes.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 1.2015

Klassifikation
Wirtschaft
Management of Technological Innovation and R&D
Energy: General
Environmental Economics: Technological Innovation
Thema
Photovoltaic Costs
Energy R&D
Expert Elicitation
Survey Design
Heuristics

Ereignis
Geistige Schöpfung
(wer)
Verdolini, Elena
Anadon, Laura Diaz
Lu, Jiaqi
Nemet, Gregory F.
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2015

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Verdolini, Elena
  • Anadon, Laura Diaz
  • Lu, Jiaqi
  • Nemet, Gregory F.
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2015

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