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A MILP methodology to optimize sizing of PV - Wind renewable energy systems

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  • Lamedica, Regina
  • Santini, Ezio
  • Ruvio, Alessandro
  • Palagi, Laura
  • Rossetta, Irene

Abstract

This paper proposes a methodology that is based on mixed-integer linear programming (MILP) to calculate the optimal sizing of a hybrid wind-photovoltaic power plant in an industrial area. The proposed methodology considers the: i) load requirements; ii) physical and geometric constraints for the renewable plants installation; iii) operating and maintenance costs of both wind and PV power plants; and the iv) electric energy absorbed by the public network.

Suggested Citation

  • Lamedica, Regina & Santini, Ezio & Ruvio, Alessandro & Palagi, Laura & Rossetta, Irene, 2018. "A MILP methodology to optimize sizing of PV - Wind renewable energy systems," Energy, Elsevier, vol. 165(PB), pages 385-398.
    • Handle: RePEc:eee:energy:v:165:y:2018:i:pb:p:385-398
    DOI: 10.1016/j.energy.2018.09.087
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    4. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2022. "Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity Analysis for energy design and operation optimisation," Energy, Elsevier, vol. 239(PA).
    5. Ana Rita Silva & Ana Estanqueiro, 2022. "From Wind to Hybrid: A Contribution to the Optimal Design of Utility-Scale Hybrid Power Plants," Energies, MDPI, vol. 15(7), pages 1-19, April.
    6. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    7. Lee, Jui-Yuan & Aviso, Kathleen B. & Tan, Raymond R., 2019. "Multi-objective optimisation of hybrid power systems under uncertainties," Energy, Elsevier, vol. 175(C), pages 1271-1282.
    8. Abdolahi-Mansoorkhani, Hamed & Seddighi, Sadegh, 2019. "H2S and CO2 capture from gaseous fuels using nanoparticle membrane," Energy, Elsevier, vol. 168(C), pages 847-857.
    9. Ndwali, Kasereka & Njiri, Jackson G. & Wanjiru, Evan M., 2020. "Multi-objective optimal sizing of grid connected photovoltaic batteryless system minimizing the total life cycle cost and the grid energy," Renewable Energy, Elsevier, vol. 148(C), pages 1256-1265.
    10. Shen, Feifei & Zhao, Liang & Du, Wenli & Zhong, Weimin & Qian, Feng, 2020. "Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach," Applied Energy, Elsevier, vol. 259(C).
    11. Jiang, Yinghua & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics," Energy, Elsevier, vol. 206(C).
    12. Eva M. Urbano & Victor Martinez-Viol & Konstantinos Kampouropoulos & Luis Romeral, 2021. "Energy-Investment Decision-Making for Industry: Quantitative and Qualitative Risks Integrated Analysis," Sustainability, MDPI, vol. 13(12), pages 1-30, June.
    13. Sergio Rech & Stefano Casarin & Carlos Santos Silva & Andrea Lazzaretto, 2020. "University Campus and Surrounding Residential Complexes as Energy-Hub: A MILP Optimization Approach for a Smart Exchange of Solar Energy," Energies, MDPI, vol. 13(11), pages 1-22, June.
    14. Xiong, Hualin & Xu, Beibei & Kheav, Kimleng & Luo, Xingqi & Zhang, Xingjin & Patelli, Edoardo & Guo, Pengcheng & Chen, Diyi, 2021. "Multiscale power fluctuation evaluation of a hydro-wind-photovoltaic system," Renewable Energy, Elsevier, vol. 175(C), pages 153-166.
    15. 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).
    16. Jin, Shuwei & Li, Yongping, 2023. "Analyzing the performance of electricity, heating, and cooling supply nexus in a hybrid energy system of airport under uncertainty," Energy, Elsevier, vol. 272(C).

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