IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v119y2018icp459-472.html
   My bibliography  Save this article

Socio-techno-economic design of hybrid renewable energy system using optimization techniques

Author

Listed:
  • Sawle, Yashwant
  • Gupta, S.C.
  • Bohre, Aashish Kumar

Abstract

This paper presents the optimal hybrid power system design including various configurations of renewable energy generation. To decide the optimal configuration of parameters a new multi-objective function with six separate objectives of hybrid renewable system is presented using GA, PSO, BFPSO and TLBO optimization techniques. The different parameters namely technical (LPSP, Renewable factor), economical (COE, Penalty & Fuel consumption) and social (Job creation, HDI & PM) features are investigated as objectives simultaneously for optimal design of hybrid system. The design consideration of hybrid system using a novel PM factor, human health impacts are directly shown whereas pollutant emission is measured in the hybrid system design. Based on the minimum value of multi-objective function optimal values are decided for objective indices. For optimal configuration including various combinations of wind, PV, diesel generator, biomass and battery bank, separate cases from I to VI of hybrid system are tested. Performance of TLBO is found to be better than BFPSO, PSO and GA as per the analysis of results for individual cases. Also the case I found to be the most efficient solution among all cases.

Suggested Citation

  • Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Socio-techno-economic design of hybrid renewable energy system using optimization techniques," Renewable Energy, Elsevier, vol. 119(C), pages 459-472.
    • Handle: RePEc:eee:renene:v:119:y:2018:i:c:p:459-472
    DOI: 10.1016/j.renene.2017.11.058
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811731159X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.11.058?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Banerjee, Rangan, 2006. "Comparison of options for distributed generation in India," Energy Policy, Elsevier, vol. 34(1), pages 101-111, January.
    2. Cameron, Lachlan & van der Zwaan, Bob, 2015. "Employment factors for wind and solar energy technologies: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 160-172.
    3. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation," Renewable Energy, Elsevier, vol. 94(C), pages 280-293.
    4. Manwell, J.F. & Stein, W.A. & Rogers, A. & McGowan, J.G., 1992. "An investigation of variable speed operation of diesel generators in hybrid energy systems," Renewable Energy, Elsevier, vol. 2(6), pages 563-571.
    5. Maleki, Akbar & Ameri, Mehran & Keynia, Farshid, 2015. "Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid system," Renewable Energy, Elsevier, vol. 80(C), pages 552-563.
    6. Ramanathan, R. & Ganesh, L. S., 1995. "Energy resource allocation incorporating qualitative and quantitative criteria: An integrated model using goal programming and AHP," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 197-218, September.
    7. Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Review of hybrid renewable energy systems with comparative analysis of off-grid hybrid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2217-2235.
    8. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2009. "A current and future state of art development of hybrid energy system using wind and PV-solar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2096-2103, October.
    9. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
    10. Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Thiel, Christian, 2015. "Employment effects of renewable electricity deployment. A novel methodology," Energy, Elsevier, vol. 91(C), pages 940-951.
    11. Goel, Sonali & Sharma, Renu, 2017. "Performance evaluation of stand alone, grid connected and hybrid renewable energy systems for rural application: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1378-1389.
    12. Gómez, Maria F. & Silveira, Semida, 2010. "Rural electrification of the Brazilian Amazon - Achievements and lessons," Energy Policy, Elsevier, vol. 38(10), pages 6251-6260, October.
    13. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    14. Wei, Max & Patadia, Shana & Kammen, Daniel M., 2010. "Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US?," Energy Policy, Elsevier, vol. 38(2), pages 919-931, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation," Renewable Energy, Elsevier, vol. 94(C), pages 280-293.
    2. Khan, Faizan A. & Pal, Nitai & Saeed, Syed H., 2021. "Optimization and sizing of SPV/Wind hybrid renewable energy system: A techno-economic and social perspective," Energy, Elsevier, vol. 233(C).
    3. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    4. Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo, 2017. "Comparative analysis of direct employment generated by renewable and non-renewable power plants," Energy, Elsevier, vol. 139(C), pages 542-554.
    5. Adoum Abdoulaye, Mahamat & Waita, Sebastian & Wabuge Wekesa, Cyrus & Mwabora, Julius Mwakondo, 2024. "Optimal sizing of an off-grid and grid-connected hybrid photovoltaic-wind system with battery and fuel cell storage system: A techno-economic, environmental, and social assessment," Applied Energy, Elsevier, vol. 365(C).
    6. Hassan, Rakibul & Das, Barun K. & Hasan, Mahmudul, 2022. "Integrated off-grid hybrid renewable energy system optimization based on economic, environmental, and social indicators for sustainable development," Energy, Elsevier, vol. 250(C).
    7. Cai, Mattia & Cusumano, Niccolò & Lorenzoni, Arturo & Pontoni, Federico, 2017. "A comprehensive ex-post assessment of RES deployment in Italy: Jobs, value added and import leakages," Energy Policy, Elsevier, vol. 110(C), pages 234-245.
    8. Zhang, Xiaoli & Cui, Xueqin & Li, Bo & Hidalgo-Gonzalez, Patricia & Kammen, Daniel M & Zou, Ji & Wang, Ke, 2022. "Immediate actions on coal phaseout enable a just low-carbon transition in China’s power sector," Applied Energy, Elsevier, vol. 308(C).
    9. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    10. Zhang, Zhenying & Gang, Wenjie & Zhang, Ying & Yuan, Jiaqi, 2023. "Performance analysis of zero-emission integrated energy system for low-density residential building clusters," Renewable Energy, Elsevier, vol. 219(P1).
    11. Markandya, Anil & Arto, Iñaki & González-Eguino, Mikel & Román, Maria V., 2016. "Towards a green energy economy? Tracking the employment effects of low-carbon technologies in the European Union," Applied Energy, Elsevier, vol. 179(C), pages 1342-1350.
    12. Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Review of hybrid renewable energy systems with comparative analysis of off-grid hybrid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2217-2235.
    13. Černý, Martin & Bruckner, Martin & Weinzettel, Jan & Wiebe, Kirsten & Kimmich, Christian & Kerschner, Christian & Hubacek, Klaus, 2024. "Global employment and skill level requirements for ‘Post-Carbon Europe’," Ecological Economics, Elsevier, vol. 216(C).
    14. Zhang, Sufang & Chen, Yang & Liu, Xiaoli & Yang, Mengshi & Xu, Liang, 2017. "Employment effects of solar PV industry in China: A spreadsheet-based analytical model," Energy Policy, Elsevier, vol. 109(C), pages 59-65.
    15. Bohlmann, H.R. & Horridge, J.M. & Inglesi-Lotz, R. & Roos, E.L. & Stander, L., 2019. "Regional employment and economic growth effects of South Africa’s transition to low-carbon energy supply mix," Energy Policy, Elsevier, vol. 128(C), pages 830-837.
    16. Duscha, Vicki & Fougeyrollas, Arnaud & Nathani, Carsten & Pfaff, Matthias & Ragwitz, Mario & Resch, Gustav & Schade, Wolfgang & Breitschopf, Barbara & Walz, Rainer, 2016. "Renewable energy deployment in Europe up to 2030 and the aim of a triple dividend," Energy Policy, Elsevier, vol. 95(C), pages 314-323.
    17. Arvanitopoulos, T. & Agnolucci, P., 2020. "The long-term effect of renewable electricity on employment in the United Kingdom," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    18. Andini, Corrado & Cabral, Ricardo & Santos, José Eusébio, 2019. "The macroeconomic impact of renewable electricity power generation projects," Renewable Energy, Elsevier, vol. 131(C), pages 1047-1059.
    19. Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Nijs, Wouter & Politis, Savvas, 2020. "Analysing the influence of trade, technology learning and policy on the employment prospects of wind and solar energy deployment: The EU case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    20. Nithya Saiprasad & Akhtar Kalam & Aladin Zayegh, 2019. "Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India," Energies, MDPI, vol. 12(3), pages 1-23, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:119:y:2018:i:c:p:459-472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.