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Coordination of optimal sizing of energy storage systems and production buffer stocks in a net zero energy factory

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  • Caro-Ruiz, C.
  • Lombardi, P.
  • Richter, M.
  • Pelzer, A.
  • Komarnicki, P.
  • Pavas, A.
  • Mojica-Nava, E.

Abstract

Green smart factories will be one of the key elements of the future smart grids. They will play an active role in managing the volatility of power generated by renewable energy sources (RES). In order to do that, the green smart factories must set up energy management systems to control the production processes according to both the on-site power generation by RES and external signals sent by the system operators. The aim of the study is to size energy storage systems and production buffer stocks as the flexibility options, allowing the highest integration of power generated by volatile energy within a manufacturing system. The concept of the net zero energy factory is considered. Algorithms for coordinating the flexibility options optimally have been developed. These algorithms are based on mixed-integer linear programming and aim to maximize the matching between RES power generation and flexible demand. A case study is used to verify the framework results. Key performance indices, such as the system self-sufficiency index and the system self-consumption index have been considered for evaluating the solutions developed. Finally, sensitivity analysis has been performed to assess the robustness of the solutions found.

Suggested Citation

  • Caro-Ruiz, C. & Lombardi, P. & Richter, M. & Pelzer, A. & Komarnicki, P. & Pavas, A. & Mojica-Nava, E., 2019. "Coordination of optimal sizing of energy storage systems and production buffer stocks in a net zero energy factory," Applied Energy, Elsevier, vol. 238(C), pages 851-862.
    • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:851-862
    DOI: 10.1016/j.apenergy.2019.01.125
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    References listed on IDEAS

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    Cited by:

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    2. Mitali Sarkar & Biswajit Sarkar, 2019. "Optimization of Safety Stock under Controllable Production Rate and Energy Consumption in an Automated Smart Production Management," Energies, MDPI, vol. 12(11), pages 1-16, May.
    3. Marc Richter & Pio Lombardi & Bartlomiej Arendarski & André Naumann & Andreas Hoepfner & Przemyslaw Komarnicki & Antonio Pantaleo, 2021. "A Vision for Energy Decarbonization: Planning Sustainable Tertiary Sites as Net-Zero Energy Systems," Energies, MDPI, vol. 14(17), pages 1-16, September.
    4. Hui, Hengyu & Bao, Minglei & Ding, Yi & Song, Yonghua, 2022. "Exploring the integrated flexible region of distributed multi-energy systems with process industry," Applied Energy, Elsevier, vol. 311(C).
    5. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2021. "Energy equipment sizing and operation optimisation for prosumer industrial SMEs – A lifetime approach," Applied Energy, Elsevier, vol. 299(C).
    6. Ritu Kandari & Neeraj Neeraj & Alexander Micallef, 2022. "Review on Recent Strategies for Integrating Energy Storage Systems in Microgrids," Energies, MDPI, vol. 16(1), pages 1-24, December.
    7. Johannes Prior & Tobias Drees & Michael Miro & Bernd Kuhlenkötter, 2024. "Systematic Literature Review of Heuristic-Optimized Microgrids and Energy-Flexible Factories," Clean Technol., MDPI, vol. 6(3), pages 1-28, August.

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