Arbeitspapier

Capacity-constrained renewable power generation development in light of storage cost uncertainty

The development of sustainable energy sources and their enabling infrastructures are often met by public opposition, resulting in lengthy planning processes. One proposed means of reducing public opposition is constraining the capacity of renewable energy projects onshore, leading to more small-scale, decentralised and possibly community-driven developments. This work computes the effects of same by performing a medium- and long-term generation expansion planning exercise considering two renewable development cases, in which renewable power expansion is spatially constrained to certain degrees, under high and low storage cost regimes. We employ an appropriately designed optimisation model, accounting for network effects, which are largely neglected in previous studies. We apply our study to the future Irish power system under a range of demand and policy scenarios. Irrespective of storage costs, the unconstrained portfolio is marginally cheaper than the constrained one. However, there are substantial differences in the final generation expansion portfolios. The network reinforcement requirements are also greater under the unconstrained approach. Lower storage costs only slightly mitigate the costs of capacity constraints but significantly alter the spatial distribution of generation investments. The differential in costs between the unconstrained and constrained cases increases non-linearly with renewable generation targets.

Language
Englisch

Bibliographic citation
Series: ESRI Working Paper ; No. 647

Classification
Wirtschaft
Subject
Generation expansion planning
electricity generation mix
renewable integration
constrained energy expansion
community energy
public acceptance

Event
Geistige Schöpfung
(who)
Fitiwi, Desta
Lynch, Muireann Á.
Bertsch, Valentin
Event
Veröffentlichung
(who)
The Economic and Social Research Institute (ESRI)
(where)
Dublin
(when)
2019

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Fitiwi, Desta
  • Lynch, Muireann Á.
  • Bertsch, Valentin
  • The Economic and Social Research Institute (ESRI)

Time of origin

  • 2019

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