Arbeitspapier

Economic Disruptions in Long-Term Energy Scenarios – Implications for Designing Energy Policy

The main drivers of transformation processes of electricity markets stem from climate policies and changing economic environments. In order to analyse the respective developments, modelling approaches regularly rely on multiple structural and parametric simplifications. For example, discontinuities in economic development (recessions and booms) are frequently disregarded. Distorting effects that are caused by such simplifications tend to scale up with an extension of the time horizon of the analysis and can significantly affect the accuracy of long-term projections. In this study, we include information on economic discontinuities and elaborate on their influences on short-and long-term modelling outcomes. Based on historical data, we identify the impact of a high-amplitude change in economic parameters and examine its cumulative effect on the German electricity market by applying a techno-economic electricity market model for the period from 2005 to 2014. Similar changes may consistently occur in the future and we expect that a more comprehensive understanding of their effects on long-term scenarios will increase the validity of long-term models. Results indicate that policy decision making based on modelling frameworks can benefit from a comprehensive understanding of the underlying simplifications of most scenario studies.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 017.2019

Klassifikation
Wirtschaft
Energy and the Macroeconomy
Thema
Scenario Analysis
Electricity Markets
Economic Development
Energy Market Modelling
Uncertainty
Macroeconomic Cycles
Electricity Production

Ereignis
Geistige Schöpfung
(wer)
Govorukha, Kristina
Mayer, Philip
Rübbelke, Dirk
Vögele, Stefan
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2019

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

  • Govorukha, Kristina
  • Mayer, Philip
  • Rübbelke, Dirk
  • Vögele, Stefan
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2019

Ähnliche Objekte (12)