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Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India

Author

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  • Nithya Saiprasad

    (College of Engineering and Science, Victoria University, Footscray, Melbourne 3011, Australia)

  • Akhtar Kalam

    (College of Engineering and Science, Victoria University, Footscray, Melbourne 3011, Australia)

  • Aladin Zayegh

    (College of Engineering and Science, Victoria University, Footscray, Melbourne 3011, Australia)

Abstract

Techno-economic, social, and environmental factors influence a large part of society, predominantly in developing countries. Due to energy poverty and bloating populations, developing countries like India are striving to meet the energy balance. One initiative of India to achieve the country’s Renewable Energy Target (RET) is the setting up of the National Solar Mission (NSM) to meet a target of 175 GW (non-hydro) by the year 2022. Prioritizing Renewable Energy (RE) utilization to achieve techno-economic balance is India’s primary objective and creating a positive environmental impact is a bonus. In this study, various scenarios are explored by investigating the techno-economic and environmental impact on RE adoption for a small community in India by optimally sizing the Hybrid Renewable Energy System (HRES). This study is an exemplar in understanding and exploring RE utilization, whilst examining the recent RE market in depth and exploring the advantages and disadvantages of the current RE situation by initiating it in a smaller community. Improved Hybrid Optimization using Genetic Algorithm (iHOGA) PRO+ software, (Version 2.4 -Pro+, Created by Dr Rodolfo Dufo López, University Zaragoza (Spain)) is used to size the RE systems. The results are categorized using triple bottom line analysis (TBL analysis) and for different scenarios, the techno-economic, environmental, and social merits are weighed upon. The probable hurdles that India has to surpass to achieve easy RE adoption are also discussed in this work. The influential merits for analyzing the TBL for a real-time scenario are Net Present Cost (NPC), Carbon-di-oxide (CO 2 ) emissions, and job criteria. Compared to Hybrid Optimization of Multiple Energy Resources (HOMER) software, iHOGA remains less explored in the literature, specifically for the grid-connected systems. The current study provides a feasibility analysis of grid-connected RE systems for the desired location. iHOGA software simulated 15 sets of results for different values of loads considered and various acquisition costs of HRES. At least 70% of RE can be penetrated for the Aralvaimozhi community with the lowest value of NPC of the HRES. From the TBL analysis conducted, integrating HRES into a micro-grid for the community would result in mitigating CO 2 emissions and provide job opportunities to the local community; although, the economic impact should be minimized if the acquisition costs of the HRES are reduced, as has been established through this study.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:349-:d:200159
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    1. Sen, Rohit & Bhattacharyya, Subhes C., 2014. "Off-grid electricity generation with renewable energy technologies in India: An application of HOMER," Renewable Energy, Elsevier, vol. 62(C), pages 388-398.
    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. Mittal, Shivika & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Bridging greenhouse gas emissions and renewable energy deployment target: Comparative assessment of China and India," Applied Energy, Elsevier, vol. 166(C), pages 301-313.
    4. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    5. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    6. Velo, R. & Osorio, L. & Fernández, M.D. & Rodríguez, M.R., 2014. "An economic analysis of a stand-alone and grid-connected cattle farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 883-890.
    7. Kumar, Ashwani & Kumar, Kapil & Kaushik, Naresh & Sharma, Satyawati & Mishra, Saroj, 2010. "Renewable energy in India: Current status and future potentials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2434-2442, October.
    8. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
    9. Khan, Muhammad Imran & Yasmeen, Tabassam & Shakoor, Abdul & Khan, Niaz Bahadur & Muhammad, Riaz, 2017. "2014 oil plunge: Causes and impacts on renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 609-622.
    10. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2009. "Feasibility analysis of renewable energy supply options for a grid-connected large hotel," Renewable Energy, Elsevier, vol. 34(4), pages 955-964.
    11. Kar, Sanjay Kumar & Sharma, Atul & Roy, Biswajit, 2016. "Solar energy market developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 121-133.
    12. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    13. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    14. Mohamed Amine Boutabba, 2014. "The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy," Post-Print hal-02877966, HAL.
    15. 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.
    16. Gevorg Sargsyan & Mikul Bhatia & Sudeshna Ghosh Banerjee & Krishnan Raghunathan & Ruchi Soni, 2011. "Unleashing the Potential of Renewable Energy in India," World Bank Publications - Books, The World Bank Group, number 2318, December.
    17. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
    18. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    19. Boutabba, Mohamed Amine, 2014. "The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy," Economic Modelling, Elsevier, vol. 40(C), pages 33-41.
    20. Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
    21. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    22. Kaundinya, Deepak Paramashivan & Balachandra, P. & Ravindranath, N.H., 2009. "Grid-connected versus stand-alone energy systems for decentralized power--A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2041-2050, October.
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    4. Mahmoud M. Gamil & Soichirou Ueda & Akito Nakadomari & Keifa Vamba Konneh & Tomonobu Senjyu & Ashraf M. Hemeida & Mohammed Elsayed Lotfy, 2022. "Optimal Multi-Objective Power Scheduling of a Residential Microgrid Considering Renewable Sources and Demand Response Technique," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    5. Maria Luiza de Medeiros Galvão & Marco Aurélio dos Santos & Neilton Fidelis da Silva & Valdenildo Pedro da Silva, 2020. "Connections Between Wind Energy, Poverty and Social Sustainability in Brazil’s Semiarid," Sustainability, MDPI, vol. 12(3), pages 1-25, January.
    6. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.

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