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Optimal Design of a Hybrid Energy System for Economic and Environmental Sustainability of Onshore Oil and Gas Fields

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  • Deepika Bishnoi

    (School of Energy Science and Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India)

  • Harsh Chaturvedi

    (School of Energy Science and Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India)

Abstract

The pollution caused by gas flaring is hazardous to the health of flora, fauna, and humans settled around the flaring site. Gas flaring also incurs economic loss as natural gas, an energy source, is wasted in flares. Furthermore, the unreliable electrical infrastructure is a roadblock for oil and gas companies attempting to achieve their production targets. This paper presents a framework to design hybrid energy systems (HES) which utilize the gas flare waste along with the locally available renewable energy sources to generate electricity. A novel dispatch strategy to suit the requirements of the oil and gas fields has been used for real-time simulations and optimization of the HES. As a test case, six different hybrid energy configurations, modelled for two gas flaring sites, Lakwa and Geleky in Assam—India, were analyzed and compared on the basis of economic and environmental factors. The best suitable configuration comprised 2000 kW solar photovoltaic (PV) panel sets, one 200 kW gas microturbine, two 30 kW gas microturbines, and grid connection. The proposed system economically outperformed the existing power system in the area by 35.52% in terms of the net present cost. Moreover, it could save 850 tons of carbon dioxide emissions annually, and it has a renewable fraction of 93.7% in the total energy generation. Owing to these merits, the presented technique would be a promising option for generation of electricity from flare gas waste and to mitigate pollution.

Suggested Citation

  • Deepika Bishnoi & Harsh Chaturvedi, 2022. "Optimal Design of a Hybrid Energy System for Economic and Environmental Sustainability of Onshore Oil and Gas Fields," Energies, MDPI, vol. 15(6), pages 1-21, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2063-:d:769633
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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. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    3. Fodhil, F. & Hamidat, A. & Nadjemi, O., 2019. "Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria," Energy, Elsevier, vol. 169(C), pages 613-624.
    4. Maammeur, H. & Hamidat, A. & Loukarfi, L. & Missoum, M. & Abdeladim, K. & Nacer, T., 2017. "Performance investigation of grid-connected PV systems for family farms: case study of North-West of Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1208-1220.
    5. Rad, Mohammad Amin Vaziri & Ghasempour, Roghaye & Rahdan, Parisa & Mousavi, Soroush & Arastounia, Mehrdad, 2020. "Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran," Energy, Elsevier, vol. 190(C).
    6. Sanajaoba Singh, Sarangthem & Fernandez, Eugene, 2018. "Modeling, size optimization and sensitivity analysis of a remote hybrid renewable energy system," Energy, Elsevier, vol. 143(C), pages 719-731.
    7. Tiwary, Abhishek & Spasova, Stanislava & Williams, Ian D., 2019. "A community-scale hybrid energy system integrating biomass for localised solid waste and renewable energy solution: Evaluations in UK and Bulgaria," Renewable Energy, Elsevier, vol. 139(C), pages 960-967.
    8. Iqbal, M. & Azam, M. & Naeem, M. & Khwaja, A.S. & Anpalagan, A., 2014. "Optimization classification, algorithms and tools for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 640-654.
    9. Fazelpour, Farivar & Soltani, Nima & Rosen, Marc A., 2014. "Feasibility of satisfying electrical energy needs with hybrid systems for a medium-size hotel on Kish Island, Iran," Energy, Elsevier, vol. 73(C), pages 856-865.
    10. Chih-Ta Tsai & Teketay Mulu Beza & Wei-Bin Wu & Cheng-Chien Kuo, 2019. "Optimal Configuration with Capacity Analysis of a Hybrid Renewable Energy and Storage System for an Island Application," Energies, MDPI, vol. 13(1), pages 1-28, December.
    11. Ghenai, Chaouki & Bettayeb, Maamar, 2019. "Modelling and performance analysis of a stand-alone hybrid solar PV/Fuel Cell/Diesel Generator power system for university building," Energy, Elsevier, vol. 171(C), pages 180-189.
    12. Basir Khan, M. Reyasudin & Jidin, Razali & Pasupuleti, Jagadeesh & Shaaya, Sharifah Azwa, 2015. "Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea," Energy, Elsevier, vol. 82(C), pages 80-97.
    13. Zhe Lv & Zengping Wang & Wanyu Xu, 2019. "A Techno-Economic Study of 100% Renewable Energy for a Residential Household in China," Energies, MDPI, vol. 12(11), pages 1-17, June.
    14. Mo, Qiu & Liu, Fang, 2020. "Modeling and optimization for distributed microgrid based on Modelica language," Applied Energy, Elsevier, vol. 279(C).
    15. Tatiane Silva Costa & Marcelo Gradella Villalva, 2020. "Technical Evaluation of a PV-Diesel Hybrid System with Energy Storage: Case Study in the Tapajós-Arapiuns Extractive Reserve, Amazon, Brazil," Energies, MDPI, vol. 13(11), pages 1-22, June.
    16. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
    17. Shahzad, M. Kashif & Zahid, Adeem & ur Rashid, Tanzeel & Rehan, Mirza Abdullah & Ali, Muzaffar & Ahmad, Mueen, 2017. "Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software," Renewable Energy, Elsevier, vol. 106(C), pages 264-273.
    18. López-González, A. & Ranaboldo, M. & Domenech, B. & Ferrer-Martí, L., 2020. "Evaluation of small wind turbines for rural electrification: Case studies from extreme climatic conditions in Venezuela," Energy, Elsevier, vol. 209(C).
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    1. Vitor Fernão Pires & Ilhami Colak & Fujio Kurokawa, 2022. "Smart Grid as a Key Tool for the Future of Electrical Distribution Networks," Energies, MDPI, vol. 15(9), pages 1-3, April.

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