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Techno-economic and sensitivity analysis of hybrid electric sources on off-shore oil facilities

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  • Dawoud, Samir M.

Abstract

Owing to the low efficiency of off-shore oil ships and the dangerous atmospheric pollutants of the environment that the cause of ships, solar photovoltaic and the energy storage batteries in a ship system are highly attracting attention. The basic objective of this article is to enterprise an optimal model suitable for large oil tanker ships. Therefore, most of this article discussed a design for hybrid renewable energy systems (HRESs) on an oil ship using a common optimization HOMER software. However, the incorrect sizing of HRES in the oil ships system will transpire higher greenhouse gasses (GHGs) and investment costs. So, this article presents a strategy of HRES on the ships between Egypt and China. The electric load’s profile data used are accurate and real, dependent on the sailing route of the ships directed from Dalian/China to Hurghada/Egypt. The optimal hybrid system contains solar photovoltaic (SPV), batteries storage, and diesel generator engine with a yearly capacity shortage of zero which is assigned to be the system completely reliable. The optimal system can decay the number of GHGs and the fuel consumption by 15,592,000 kg and 5,765,575L respectively in comparison with some stand-alone diesel generations during a project period. This reduction refers to an incentive factor that will lead to an essential role in raising the capacity of SPV installation on the off-shore oil. So, the HRESs minimized the total fuel prices and fuel consumption amounts. This article also discusses a comparison of HRESs on land and off-shore oil in a brief method.

Suggested Citation

  • Dawoud, Samir M., 2021. "Techno-economic and sensitivity analysis of hybrid electric sources on off-shore oil facilities," Energy, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:energy:v:227:y:2021:i:c:s036054422100640x
    DOI: 10.1016/j.energy.2021.120391
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    References listed on IDEAS

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    Cited by:

    1. Kong, Xue & Wang, Hongye & Li, Nan & Mu, Hailin, 2022. "Multi-objective optimal allocation and performance evaluation for energy storage in energy systems," Energy, Elsevier, vol. 253(C).
    2. Giovani T. T. Vieira & Derick Furquim Pereira & Seyed Iman Taheri & Khalid S. Khan & Mauricio B. C. Salles & Josep M. Guerrero & Bruno S. Carmo, 2022. "Optimized Configuration of Diesel Engine-Fuel Cell-Battery Hybrid Power Systems in a Platform Supply Vessel to Reduce CO 2 Emissions," Energies, MDPI, vol. 15(6), pages 1-34, March.

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