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Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems

Author

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  • Wang, Xiaonan
  • El-Farra, Nael H.
  • Palazoglu, Ahmet

Abstract

This paper presents a methodology for the application of real-time optimization techniques to the problem of optimally scheduling and managing the interaction between electricity providers and users so that the grid and loads can come to an agreement to achieve optimal economic performance. The energy flows in typical industrial processes (e.g., chlor-alkali production) are simulated to illustrate day-ahead scheduling and contract following behaviors, as well as real-time demand response management. A communication and incentive scheme is first proposed for the complete energy scheduling process. Energy management strategies are then developed to realize the objectives of meeting production requirements while minimizing the overall operating and environmental costs through producing, purchasing and selling electricity. The energy contract following and demand response policies are also integrated into the proposed methodology, which appear to reduce uncertainties and help maintain the reliability of the grid.

Suggested Citation

  • Wang, Xiaonan & El-Farra, Nael H. & Palazoglu, Ahmet, 2017. "Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 100(C), pages 53-64.
    • Handle: RePEc:eee:renene:v:100:y:2017:i:c:p:53-64
    DOI: 10.1016/j.renene.2016.05.051
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    References listed on IDEAS

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    7. 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.
    8. Purkayastha, Sagar N. & Chen, Yujun & Gates, Ian D. & Trifkovic, Milana, 2020. "A kelly criterion based optimal scheduling of a microgrid on a steam-assisted gravity drainage (SAGD) facility," Energy, Elsevier, vol. 204(C).
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    10. Kirchem, Dana & Lynch, Muireann Á. & Bertsch, Valentin & Casey, Eoin, 2020. "Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus," Applied Energy, Elsevier, vol. 260(C).
    11. Roksana Yasmin & B. M. Ruhul Amin & Rakibuzzaman Shah & Andrew Barton, 2024. "A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy," Sustainability, MDPI, vol. 16(2), pages 1-41, January.
    12. Gulnar Shaimardanovna Kaliakparova & Y?lena Evgenevna Gridneva & Sara Sarsebekovna Assanova & Sandugash Babagalikyzy Sauranbay & Abdizhapar Djumanovich Saparbayev, 2020. "International Economic Cooperation of Central Asian Countries on Energy Efficiency and Use of Renewable Energy Sources," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 539-545.
    13. Kotur, Dimitrije & Đurišić, Željko, 2017. "Optimal spatial and temporal demand side management in a power system comprising renewable energy sources," Renewable Energy, Elsevier, vol. 108(C), pages 533-547.
    14. Wang, Huilong & Wang, Shengwei, 2021. "A disturbance compensation enhanced control strategy of HVAC systems for improved building indoor environment control when providing power grid frequency regulation," Renewable Energy, Elsevier, vol. 169(C), pages 1330-1342.
    15. Lim, Kai Zhuo & Lim, Kang Hui & Wee, Xian Bin & Li, Yinan & Wang, Xiaonan, 2020. "Optimal allocation of energy storage and solar photovoltaic systems with residential demand scheduling," Applied Energy, Elsevier, vol. 269(C).
    16. Desta, Alemayehu Addisu & Badis, Hakim & George, Laurent, 2018. "Demand response scheduling in industrial asynchronous production lines constrained by available power and production rate," Applied Energy, Elsevier, vol. 230(C), pages 1414-1424.
    17. Nirbheram, Joshi Sukhdev & Mahesh, Aeidapu & Bhimaraju, Ambati, 2023. "Techno-economic analysis of grid-connected hybrid renewable energy system adapting hybrid demand response program and novel energy management strategy," Renewable Energy, Elsevier, vol. 212(C), pages 1-16.
    18. Chen, Y. & Trifkovic, M., 2018. "Optimal scheduling of a microgrid in a volatile electricity market environment: Portfolio optimization approach," Applied Energy, Elsevier, vol. 226(C), pages 703-712.

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