Investigation and Optimization of Wind Turbine and Photovoltaic Hybrid System Taking into Account Economic and Energy Considerations

Document Type : Research paper

Authors

1 Faculty of Mechanical Engineering- UNI, National University of Engineering, Lima, Peru.

2 Department of Basic Sciences, National Amazonian University of Madre de Dios, Puerto Maldonado, Peru.

3 Private Pedagogical Higher Education Institute "Cradle of American Liberty", Ayacucho, Peru.

4 Micaela Bastidas de Apurimac National University, Apurimac, Peru.

5 Academic Department of Electronic Engineering and Telecommunications, National University of Lima Sur, Peru.

6 Faculty of Agrarian Sciences Professional School of Forestry and Environmental Engineering, National\\ Autonomous University of Chota, Chota, Peru.

7 Department Professional Academic School of Law, University Continental University, Huancayo, Peru.

Abstract

This paper introduces a novel model for optimizing renewable energy systems, specifically focusing on the integration of wind turbines and photovoltaic panels to minimize net present value (NPV) costs. Addressing a significant gap in current literature, our model considers both economic and energy factors to design an efficient hybrid system. The key contributions of this study lie in investigating the impact of incentives on cost reduction across various scenarios and proposing an optimization approach utilizing the harmonic search algorithm. In contrast to existing approaches, which often overlook economic considerations, our model accounts for the dynamic nature of electricity prices. Through simulation results, we demonstrate that the cost-effectiveness of renewable energy systems varies with electricity prices. Our findings reveal that in our study area, current electricity prices do not render renewable resources economically viable, highlighting the need for optimization strategies. By employing the proposed method, we determine the optimal configuration of solar panel and wind turbine surfaces to achieve cost-effective energy production. This research not only advances the understanding of renewable energy integration but also provides practical insights for policymakers and industry stakeholders. Overall, our study underscores the importance of considering economic factors alongside technical aspects in designing renewable energy systems.

Keywords

Main Subjects


  1. R. B. Jackson, C. Le Quéré, R. Andrew, J. G. Canadell, J. I. Korsbakken, Z. Liu, G. P. Peters, and B. Zheng, “Global energy growth is outpacing decarbonization,” Environ. Res. Lett., vol. 13, no. 12, p. 120401, 2018.
  2. E. Masanet, A. Shehabi, N. Lei, S. Smith, and J. Koomey, “Recalibrating global data center energy-use estimates,” Sci., vol. 367, no. 6481, pp. 984–986, 2020.
  3. M. T. Chaichan, K. I. Abass, and H. A. Kazem, “Energy yield loss caused by dust and pollutants deposition on concentrated solar power plants in iraq weathers,” Int. Res. J. Adv. Eng. Sci., vol. 3, no. 1, pp. 160–169, 2018.
  4. A. Jafari, T. Khalili, H. G. Ganjehlou, and A. Bidram, “Optimal integration of renewable energy sources, diesel generators, and demand response program from pollution, financial, and reliability viewpoints: A multi-objective approach,” J. Cleaner Prod., vol. 247, p. 119100, 2020.
  5. S. O. Oyedepo, O. P. Babalola, S. C. Nwanya, O. Kilanko, R. O. Leramo, A. K. Aworinde, T. Adekeye, J. A. Oyebanji, A. O. Abidakun, and O. L. Agberegha, “Towards a sustainable electricity supply in nigeria: the role of decentralized renewable energy system,” Eur. J. Sustainable Dev. Res., vol. 2, no. 4, p. 40, 2018.
  6. X. Lu, K. Li, H. Xu, F. Wang, Z. Zhou, and Y. Zhang,
    “Fundamentals and business model for resource aggregator of demand response in electricity markets,” Energy, vol. 204, p. 117885, 2020.
  7. O. Krishan and S. Suhag, “An updated review of energy storage systems: Classification and applications in distributed generation power systems incorporating renewable energy resources,” Int. J. Energy Res., vol. 43, no. 12, pp. 6171–6210, 2019.
  8. C. A. Murphy, A. Schleifer, and K. Eurek, “A taxonomy of systems that combine utility-scale renewable energy and energy storage technologies,” Renewable Sustainable Energy Rev., vol. 139, p. 110711, 2021.
  9. R. Alayi and H. Rouhi, “Techno-economic analysis of electrical energy generation from urban waste in hamadan, iran,” Int. J. Des. Nat. Ecodyn., vol. 15, no. 3, pp. 337–341, 2020.
  10. R. Kakodkar, G. He, C. Demirhan, M. Arbabzadeh, S. Baratsas, S. Avraamidou, D. Mallapragada, I. Miller, R. Allen, E. Gençer, et al., “A review of analytical and optimization methodologies for transitions in multiscale energy systems,” Renewable Sustainable Energy Rev., vol. 160, p. 112277, 2022.
  11. A. Maleki, “Modeling and optimum design of an offgrid pv/wt/fc/diesel hybrid system considering different fuel prices,” Int. J. Low-Carbon Technol., vol. 13, no. 2, pp. 140–147, 2018.
  12. P. Gabrielli, M. Gazzani, E. Martelli, and M. Mazzotti, “Optimal design of multi-energy systems with seasonal storage,” Appl. Energy, vol. 219, pp. 408–424, 2018.
  13. W. Zhang, A. Maleki, M. A. Rosen, and J. Liu, “Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage,” Energy, vol. 163, pp. 191–207, 2018.
  14. J. Kong, S. T. Kim, B. O. Kang, and J. Jung, “Determining the size of energy storage system to maximize the economic profit for photovoltaic and wind turbine generators in south korea,” Renewable Sustainable Energy Rev., vol. 116, p. 109467, 2019.
  15. S. Huang and O. Abedinia, “Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market,” Energy, vol. 225, p. 120247, 2021.
  16. D. Yu, H. Zhu, W. Han, and D. Holburn, “Dynamic multi agent-based management and load frequency control of pv/fuel cell/wind turbine/chp in autonomous microgrid system,” Energy, vol. 173, pp. 554–568, 2019.
  17. H. Mohammed Ridha, C. Gomes, H. Hizam, and M. Ahmadipour, “Optimal design of standalone photovoltaic system based on multi-objective particle swarm optimization: a case study of malaysia,” Processes, vol. 8, no. 1, p. 41, 2020.
  18. S. Ali, I. Khan, S. Jan, and G. Hafeez, “An optimization based power usage scheduling strategy using photovoltaic-battery system for demand-side management in smart grid,” Energies, vol. 14, no. 8, p. 2201, 2021.
  19. M. A. S. Hassan, U. Assad, U. Farooq, A. Kabir, M. Z. Khan, S. S. H. Bukhari, Z. u. A. Jaffri, J. Oláh, and J. Popp, “Dynamic price-based demand response through linear regression for microgrids with renewable energy resources,” Energies, vol. 15, no. 4, p. 1385, 2022.
  20. B. Yagoub, C. Abdelghani, and C. Lakhdar, “Economic and environmental modeling for grid-connected hybrid photovoltaic-wind power system in hot arid south algeria,” J. Sci. Eng. Sci., vol. 9, no. 1, pp. 7–11, 2020.
  21. R. Alayi, M. Mohkam, S. R. Seyednouri, M. H. Ahmadi, and M. Sharifpur, “Energy/economic analysis and optimization of on-grid photovoltaic system using cpso algorithm,” Sustainability, vol. 13, no. 22, p. 12420, 2021.
  22. R. B. Jackson, C. Le Quéré, R. Andrew, J. G. Canadell, J. I. Korsbakken, Z. Liu, G. P. Peters, and B. Zheng, “Global energy growth is outpacing decarbonization,” Environ. Res. Lett., vol. 13, no. 12, p. 120401, 2018.
  23. E. Masanet, A. Shehabi, N. Lei, S. Smith, and J. Koomey, “Recalibrating global data center energy-use estimates,” Sci., vol. 367, no. 6481, pp. 984–986, 2020.
  24. M. T. Chaichan, K. I. Abass, and H. A. Kazem, “Energy yield loss caused by dust and pollutants deposition on concentrated solar power plants in iraq weathers,” Int. Res. J. Adv. Eng. Sci., vol. 3, no. 1, pp. 160–169, 2018.
Volume 11, Special Issue
Sustainable Power Systems, Energy Management, and Global Warming
December 2023
Pages 100-105
  • Receive Date: 11 December 2023
  • Revise Date: 06 April 2024
  • Accept Date: 01 May 2024
  • First Publish Date: 05 May 2024