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The effects of power system flexibility on the efficient transition to renewable generation

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  • Neetzow, Paul

Abstract

During the necessary transition to sustainable power systems, fossil generators are used to complement generation from renewable energies. Yet not all fossil technologies can be operated flexibly enough to balance the fluctuating output of renewables. I study how the efficient transition to renewables is influenced by the endowment with flexible and inflexible generators. To this end, I develop a parsimonious analytical model that incorporates a variable renewable energy (VRE) technology with stochastic generation availability as well as flexible and inflexible fossil generators with rigid capacities. I find that early in the transition, VRE generation replaces generation from flexible capacities. Only later is the output of inflexible generation reduced and substituted by increasing flexible and renewable generation. The early deployment of VRE is hampered by high inflexible capacities. However, deployment speed surges once VRE generation begins to substitute inflexible generation. The more excess capacities exist in the initial endowment, the higher the sudden increase in deployment is. The decreasing use of inflexible fossil generation is usually accompanied by an increasing utilization of flexible generators. Nevertheless, constructing additional flexible capacities is only cost-efficient if a cost threshold is not exceeded. By contributing to a better understanding of the impact of flexibility on efficient VRE deployment, this work aims to facilitate an efficient transition to renewable energies.

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  • Neetzow, Paul, 2021. "The effects of power system flexibility on the efficient transition to renewable generation," Applied Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316664
    DOI: 10.1016/j.apenergy.2020.116278
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    More about this item

    Keywords

    Energy transition; Renewable energy; Flexibility; Rigid capacity endowment;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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