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Profitability of Concentrated Solar-Biomass hybrid power plants: Dataset of the stochastic techno-economic assessment

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  • Additional Information
    • Contributors:
      Universidad de Sevilla. Departamento de Ingeniería Química y Ambiental; Universidad de Sevilla. TEP135: Ingeniería Ambiental y de Procesos; Ministerio de Ciencia e Innovación (MICIN). España; Unión Europea; Junta de Andalucía; Universidad de Sevilla
    • Publication Information:
      Elsevier
    • Publication Date:
      2023
    • Collection:
      idUS - Deposito de Investigación Universidad de Sevilla
    • Abstract:
      This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) ; An increasing share of dispatchable renewable generation is required to achieve energy decarbonisation goals and ensure a reliable supply to power grids. Concentrating solar power (CSP) plants hybridised with biomass boilers are promising alternatives to replace part of the peaking and baseload power generated from fossil fuel-based systems. This paper includes data related to the design variables, equations, valuation parameters and detailed results that support the research article “Market profitability of CSP-Biomass hybrid power plants: Towards a firm supply of renewable energy.” The profitability assessment is based on integrating the hourly variation of electricity prices in the Iberian day-ahead market (MIBEL) to the results of the techno-economic model through a novel economic metric named Profitability Factor. In addition, stochastic simulations were conducted to capture the uncertainty of relevant input variables on the profitability of the proposed hybrid plants. The resulting datasets presented in this paper will provide insights for researchers looking to address the economic performance of renewable generation concepts from a market profitability approach. Furthermore, the data can be used by investors and policymakers to better understand the risks and implications associated with the profitability potential of these systems.
    • Relation:
      Data in Brief, 48, 109096.; PID2020-114725RA-I00; P18-RT-4512; https://www.sciencedirect.com/science/article/pii/S2352340923002159; https://idus.us.es/handle//11441/147584
    • Online Access:
      https://idus.us.es/handle//11441/147584
    • Rights:
      Attribution-NonCommercial-NoDerivatives 4.0 Internacional ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.1A6BF7ED