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Optimal integration of renewable based processes for fuels and power production: Spain case study

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  • Martín, Mariano
  • Grossmann, Ignacio E.

Abstract

In this work we propose a data independent framework for the optimal integration of renewable sources of energy to produce fuels and power. A network is formulated using surrogate models for various technologies that use solar energy (photovoltaic, concentrated solar power or algae to produce oil), wind, biomass (to obtain ethanol, methanol, FT-liquids and thermal energy), hydroelectric, and waste (to produce power plant via biogas production). The optimization model is formulated as a mixed-integer linear programming model that evaluates the use of renewable resources and technologies and their integration to meet power and fuels demand; sustainability and CO2 emissions are also considered. The network can be applied to evaluate process integration at different scales, county to country level, including uncertainty availability of resources. Spain and particular regions are used as a case study. The framework suggests that larger integration uses the resources more efficiently, while considering uncertainty in resource availability shows larger cost to ensure meeting the demand. For the particular case considered, hydropower is widely used while biofuels are produced close to large populated regions when larger areas are evaluated; otherwise a more distributed solution is proposed. Reaching large fuel substitution is difficult at current biomass yields and technology state of development.

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  • Martín, Mariano & Grossmann, Ignacio E., 2018. "Optimal integration of renewable based processes for fuels and power production: Spain case study," Applied Energy, Elsevier, vol. 213(C), pages 595-610.
  • Handle: RePEc:eee:appene:v:213:y:2018:i:c:p:595-610
    DOI: 10.1016/j.apenergy.2017.10.121
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    Cited by:

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    2. Jesús Fraile Ardanuy & Roberto Alvaro-Hermana & Sandra Castano-Solis & Julia Merino, 2022. "Carbon-Free Electricity Generation in Spain with PV–Storage Hybrid Systems," Energies, MDPI, vol. 15(13), pages 1-20, June.
    3. Pérez-Uresti, Salvador I. & Martín, Mariano & Jiménez-Gutiérrez, Arturo, 2019. "Estimation of renewable-based steam costs," Applied Energy, Elsevier, vol. 250(C), pages 1120-1131.
    4. Heras, Jorge & Martín, Mariano, 2020. "Social issues in the energy transition: Effect on the design of the new power system," Applied Energy, Elsevier, vol. 278(C).
    5. Dongliang, Wang & Wenliang, Meng & Huairong, Zhou & Guixian, Li & Yong, Yang & Hongwei, Li, 2021. "Green hydrogen coupling with CO2 utilization of coal-to-methanol for high methanol productivity and low CO2 emission," Energy, Elsevier, vol. 231(C).
    6. Munguía-López, Aurora del Carmen & González-Bravo, Ramón & Ponce-Ortega, José María, 2019. "Evaluation of carbon and water policies in the optimization of water distribution networks involving power-desalination plants," Applied Energy, Elsevier, vol. 236(C), pages 927-936.
    7. Li, Lanyu & Yao, Zhiyi & You, Siming & Wang, Chi-Hwa & Chong, Clive & Wang, Xiaonan, 2019. "Optimal design of negative emission hybrid renewable energy systems with biochar production," Applied Energy, Elsevier, vol. 243(C), pages 233-249.
    8. Romeo, Luis M. & Cavana, Marco & Bailera, Manuel & Leone, Pierluigi & Peña, Begoña & Lisbona, Pilar, 2022. "Non-stoichiometric methanation as strategy to overcome the limitations of green hydrogen injection into the natural gas grid," Applied Energy, Elsevier, vol. 309(C).
    9. Wang, Yuting & Chen, Heng & Qiao, Shichao & Pan, Peiyuan & Xu, Gang & Dong, Yuehong & Jiang, Xue, 2023. "A novel methanol-electricity cogeneration system based on the integration of water electrolysis and plasma waste gasification," Energy, Elsevier, vol. 267(C).
    10. Yáñez, María & Ortiz, Alfredo & Brunaud, Braulio & Grossmann, Ignacio E. & Ortiz, Inmaculada, 2018. "Contribution of upcycling surplus hydrogen to design a sustainable supply chain: The case study of Northern Spain," Applied Energy, Elsevier, vol. 231(C), pages 777-787.

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    Keywords

    Wind power; Solar energy; Biomass; Waste; Process integration; CO2;
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