PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 19, 2026Energy Reports0 citationsOpen Access

A market-based approach to assessing the capacity value of variable renewable energy: Evidence from the Dominican Republic

View Full Paper
RBRené Báez-SantanaMAMiguel Aybar-MejiaMDMáximo Domínguez-Garabitos

Key Points

  • This research aims to evaluate the Economic Capacity Value (ECV) of variable renewable energy (VRE) in the Dominican Republic's electricity market.
  • Introduced a new methodology for estimating ECV of VRE resources.
  • Utilized a co-optimization model for energy market and capacity payments.
  • Applied the framework using 2023 demand and generation data for different regions.
  • Conducted sensitivity analysis on market design parameters affecting ECV.
  • Solar photovoltaic ECV ranged from 21.8 MW to 107.2 MW across regions.
  • Wind power exhibited higher ECV, peaking at 87.6 MW in the north region.
  • ECV consistently exceeded the capacity factor for both VRE types.
  • Sensitivity analysis showed ECV changes of up to 34% with variations in capacity payments.

Abstract

The growing integration of variable renewable energy (VRE) challenges traditional capacity valuation methods in electricity markets, which mainly rely on probabilistic models and technical adequacy metrics and are not linked to market design and economic incentives. This study introduces a new approach to assessing the Economic Capacity Value (ECV) of VRE resources, which measures their contribution to system reliability, considering resource availability and market conditions. The methodology is applied using a co-optimization model of the energy market and the capacity remuneration mechanism that minimizes total system costs and capacity payments. The framework is applied to the Dominican Republic's electricity market, using 2023 demand and generation data. Results show that VRE resources provide a significant contribution to system reliability under existing market conditions. Solar photovoltaic ECVs range from 21.8 MW (17.2%) in the north region to 107.2 MW (33.6%) in the southwest, while wind power exhibits higher values, reaching 87.6 MW (43.9%) in the north and 74.7 MW (34.4%) in the southwest. In all cases, ECV surpasses the capacity factor, indicating that VRE contributes more to reliability than its average production suggests. Sensitivity analysis shows that ECV is highly sensitive to market design parameters, with ±25% variations in capacity payments or scarcity prices resulting in ECV changes of up to 34%. These findings show that capacity value can be influenced by both resource availability during high demand periods and market design, supporting the inclusion of VRE in capacity remuneration mechanisms based on ECV. • A novel methodology is proposed to estimate the Economic Capacity Value (ECV) of VRE power plants. • A co-optimization model of the energy market and the capacity payments is built for the application of the methodology. • A case study estimates regional ECV of VRE in north, southwest, and southeast regions of the Dominican Republic for 2023. • Wind power plants show a higher ECV than solar photovoltaic power plants in the Dominican Republic during 2023. • All technologies across regions show an ECV that exceeds their capacity factor in 2023.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Báez-Santana et al. (2026) studied this question.

synapsesocial.com/papers/69e470e9010ef96374d8db57https://doi.org/10.1016/j.egyr.2026.109300
Ask AI
Helpful
Bookmark
Share
View Full Paper