On long-duration storage, weather uncertainty and limited foresight
Felix Schmidt

TL;DR
This paper develops a stochastic model for long-duration energy storage in Europe, revealing how weather uncertainty and limited foresight influence system design, operational strategies, and electricity market prices in renewable energy systems.
Contribution
It introduces a novel stochastic capacity expansion model that accounts for weather uncertainty and limited foresight, analyzing their effects on LDES deployment and market dynamics.
Findings
LDES acts as a hedge against extreme weather events.
Solar PV capacities increase by up to 25% under limited foresight.
LDES bidding strategies reflect weather-dependent risk and costs.
Abstract
Long-duration energy storage (LDES) is a key component for fully renewable, sector-coupled energy systems based on wind and solar. While capacity expansion planning has begun to take into account interannual weather variability, it often ignores weather uncertainty and limited foresight in capacity and operational decisions. We build a stochastic capacity expansion model for fully decarbonized energy systems with LDES in Europe accounting for weather uncertainty - isolating the effect of limited foresight by comparing it to a perfect foresight benchmark. Under limited foresight, LDES acts as a hedge against extreme system states operating defensively and exhibiting a stockpiling effect absent under perfect foresight. Solar PV gains in system value for its higher predictability with up to 25% higher capacities versus the benchmark while onshore wind capacities are lower. We shed light on…
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Taxonomy
TopicsElectric Power System Optimization · Integrated Energy Systems Optimization · Smart Grid Energy Management
