Assessing long-term metocean data variability for optimal energy system planning via static robust optimization approach

Small, non-interconnected island systems are at the forefront of the energy transition but their isolated condition makes them exposed to the natural variability of renewable resources. This work develops a static robust optimization framework to design multi-technology portfolios that explicitly account for the inter-annual variability of the wave climate. The methodology couples the EnergyPLAN simulation tool with a MATLAB-based NSGA-II algorithm. The design vector includes the installed capacities of onshore and offshore wind, photovoltaics, two different wave energy converters (Pelamis and CorPower) and a battery energy storage system (BESS). Robustness is assessed over a discrete uncertainty set composed of twenty years of hourly meteomarine data from Copernicus reanalysis for La Gomera (Canary Islands). Three system-level indicators are optimized in a worst-case sense: annual C O 2 emissions, a demand-generation mismatch metric ϕ , and the BESS exploitation index. A post-processing step selects all robust portfolios that satisfy a stringent emissions target, corresponding to roughly a 70% reduction with respect to the validated reference configuration. Within this low-carbon subset, C O 2 is treated as a saturated objective and the remaining trade-offs are explored in the two-dimensional ϕ - R B E S S plane, where a secondary Pareto front is identified. The resulting portfolios reveal a clear interaction between storage use and temporal balancing, with different BESS levels but a quite constant wave contribution. The framework is generic and transferable to other island systems and renewable technology combinations, providing a practical tool for integrating long-term resource variability and explicit decarbonization targets into energy system planning. • Static robust optimization of multi-RES portfolios. • Robustness evaluated over twenty years of hourly Copernicus wave climate data. • La Gomera island used as real-world testbed for energy system planning strategies. • Robust low-carbon portfolios consistently retain wave energy in the RES mix. • Results demonstrate the strategic value of robust wave energy inclusive portfolios.

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Publication Details

Journal
Applied Ocean Research
Published
2026-03-09
DOI
https://doi.org/10.1016/j.apor.2026.105015
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Assessing long-term metocean data variability for optimal energy system planning via static robust optimization approach

Edoardo Pasta, Filippo Giorcelli, Viola De Clerck
Applied Ocean Research
Integrated Energy Systems Optimization
article

Assessing long-term metocean data variability for optimal energy system planning via static robust optimization approach

Edoardo Pasta, Filippo Giorcelli, Viola De Clerck
article en

Abstract

Small, non-interconnected island systems are at the forefront of the energy transition but their isolated condition makes them exposed to the natural variability of renewable resources. This work develops a static robust optimization framework to design multi-technology portfolios that explicitly account for the inter-annual variability of the wave climate. The methodology couples the EnergyPLAN simulation tool with a MATLAB-based NSGA-II algorithm. The design vector includes the installed capacities of onshore and offshore wind, photovoltaics, two different wave energy converters (Pelamis and CorPower) and a battery energy storage system (BESS). Robustness is assessed over a discrete uncertainty set composed of twenty years of hourly meteomarine data from Copernicus reanalysis for La Gomera (Canary Islands). Three system-level indicators are optimized in a worst-case sense: annual C O 2 emissions, a demand-generation mismatch metric ϕ , and the BESS exploitation index. A post-processing step selects all robust portfolios that satisfy a stringent emissions target, corresponding to roughly a 70% reduction with respect to the validated reference configuration. Within this low-carbon subset, C O 2 is treated as a saturated objective and the remaining trade-offs are explored in the two-dimensional ϕ - R B E S S plane, where a secondary Pareto front is identified. The resulting portfolios reveal a clear interaction between storage use and temporal balancing, with different BESS levels but a quite constant wave contribution. The framework is generic and transferable to other island systems and renewable technology combinations, providing a practical tool for integrating long-term resource variability and explicit decarbonization targets into energy system planning. • Static robust optimization of multi-RES portfolios. • Robustness evaluated over twenty years of hourly Copernicus wave climate data. • La Gomera island used as real-world testbed for energy system planning strategies. • Robust low-carbon portfolios consistently retain wave energy in the RES mix. • Results demonstrate the strategic value of robust wave energy inclusive portfolios.

Applied Ocean ResearchVol. 170
Politecnico di Torino (IT), Politecnico di Milano (IT)
Affordable and clean energy
Openalex Percentile: Top 29%
Integrated Energy Systems Optimization
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