Optimizing a PV/Diesel Hybrid System in Oil and Gas Industry using Metaheuristic Techniques

Sameh Osama Ezzat Abdellatif, Mohammad EL-Yamany, Hani A Ghali, Wagdy R Anis

Abstract


The purpose of this work is to develop a systematic optimization methodology for utilizing renewable energy resources, specifically Photovoltaic (PV), in Oil & Gas Industry. The study has been applied on sucker rod pump, which is considered as the conventional technique for lifting crude oil (artificial lifting). The pump is operated with integrated solar assisted system and standalone diesel generator. The annual energy requirements using the levelized cost of energy (LCOE) for a sucker rod unit at western desert in Egypt have been evaluated. A metaheuristic optimizer (Water Cycle Optimization Technique WCOT) has been utilized to optimize the PV contribution in the hybrid PV/diesel system proposed. The results have shown that the hybrid system can provide up to 25% reduction in the LCOE with respect to the running diesel generator 24/7 system. Over and above, by considering the annual saving, only two years of payback period will be needed.

 

https://dorl.net/dor/20.1001.1.13090127.2021.11.2.14.3


Keywords


PV/diesel systems; Sucker-rod pumping; LCOE; Techno-economic feasibility; Metaheuristic Optimization.

Full Text:

PDF

References


M. A. Khatita, T. S. Ahmed, F. H. Ashour, and I. M. Ismail, "Power generation using waste heat recovery by organic Rankine cycle in oil and gas sector in Egypt: A case study," Energy, vol. 64, pp. 462-472, 2014.

A. Ramadhas, S. Jayaraj, and C. Muraleedharan, "Use of vegetable oils as IC engine fuels—a review," Renewable energy, vol. 29, pp. 727-742, 2004.

K. E. Okedu, H. A. Nadabi, and A. Aziz, "Prospects of Solar Energy in Oman: case of oil and gas industries," International Journal of Smart Grid, vol. 3, pp. 138-151, 2019.

Y. Choi, C. Lee, and J. Song, "Review of renewable energy technologies utilized in the oil and gas industry," International Journal of Renewable Energy Research, vol. 7, pp. 592-598, 2017.

M. A. Halabi, A. Al-Qattan, and A. Al-Otaibi, "Application of solar energy in the oil industry—Current status and future prospects," Renewable and Sustainable Energy Reviews, vol. 43, pp. 296-314, 2015.

H. Hajjar, F. Dubaikel, and I. Ballard, "Bifacial photovoltaic technology for the oil and gas industry," in 2015 Saudi Arabia Smart Grid (SASG), 2015, pp. 1-4.

F. Castaldo, V. Brocco, R. Cimino, G. De Ghetto, and S. Rossini, "Development of Innovative Solar-Fossil Hybrid Plant in a Remote O&G Area," in Offshore Mediterranean Conference and Exhibition. Offshore Mediterranean Conference, 2015.

E. K. Mantey and B. B. Wolodko, "Method and apparatus for controlling downhole rotary pump used in production of oil wells," ed: Google Patents, 1998.

G. Takacs, Sucker-rod pumping handbook: production engineering fundamentals and long-stroke rod pumping: Gulf Professional Publishing, 2015.

M. Elhousieny and A. Khalil, "Photovoltaic/Gen-Set Hybrid System at Egyptian Western Desert," in Offshore Mediterranean Conference and Exhibition, 2017.

M. Said, M. El-Shimy, and M. Abdelraheem, "Photovoltaics energy: Improved modeling and analysis of the levelized cost of energy (LCOE) and grid parity–Egypt case study," Sustainable Energy Technologies and Assessments, vol. 9, pp. 37-48, 2015.

F. Diab, H. Lan, and S. Ali, "Novel comparison study between the hybrid renewable energy systems on land and on ship," Renewable and sustainable energy reviews, vol. 63, pp. 452-463, 2016.

M. Jamil, S. Kirmani, and H. Chatterjee, "Techno-economic viability of three different energy-supplying options for remote area electrification in India," International Journal of Sustainable Energy, vol. 33, pp. 470-482, 2014.

R. CIMINO, V. BROCCO, F. CASTALDO, G. De GHETTO, M. FAVARETTO, and T. J. J. o. t. J. I. o. E. AKMAL, "Deploying a Solar Hybrid Technology in a Remote Oil and Gas Production Site," vol. 94, pp. 1163-1168, 2015.

C. A. Osaretin, T. Iqbal, S. J. A. E. Butt, and E. Engineering, "Optimal sizing and techno-economic analysis of a renewable power system for a remote oil well," vol. 4, p. 132, 2020.

M. M. Zarie, P. Makeen, S. O. Abdellatif, I. M. Mahmoud, and T. S. Abdel-Salam, "Techno-economic Feasibility of Photovoltaic System for an Educational Building in Egypt : (Case Study)," in 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), 2019, pp. 521-525.

N. M. Elsayed, R. A. Swief, S. O. Abdellatif, and T. S. Abdel-Salam, "Photovoltaic Applications for Lighting Load Energy Saving: Case Studies, Educational Building," in 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), 2019, pp. 564-569.

M. A. Khafagy, M. M. Eshak, P. Makeen, S. O. Abdellatif, and H. A. Ghali, "Investigating the Utility of Perturbation and Observation, Incremental Conductance and Grey-Wolf MPPT Techniques for ON-Grid PV System Under Fluctuated Environmental Conditions," in 2020 IEEE International Conference on Power and Energy (PECon), 2020, pp. 338-343.

M. M. Eshak, M. A. Khafagy, P. Makeen, and S. O. Abdellatif, "Optimizing the performance of a stand-alone PV system under non-uniform irradiance using Gray-Wolf and hybrid neural network AI-MPPT algorithms," in 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020, pp. 600-605.

A. K. M. MOHAMED O. AHMED, PETER MAKEEN, SHEHAB EDIN I. BETELMAL,, M. M. A. MINATALLAH M. HASSAN, AHMED AYMAN, MOHAMAD H. EL-ADLY,, and A. N. A. S. O. ABDULLATIF, "Optimizing the Artificial Lighting in a Smart and Green Glass Building-integrated Semi-Transparent Photovoltaics: A Multifaceted Case Study in Egypt " WSEAS Transactions on Environment and Development, vol. 17, pp. 118-127, 2021.

M. Elkasrawy, P. Makeen, S. O. Abdellatif, and H. A. Ghali, "Optimizing electric vehicles station performance using AI-based decision maker algorithm," in Emerging Topics in Artificial Intelligence 2020, 2020, p. 114691W.

T. ECONOMICS, "Egypt: Inflation rate from 1984 to 2021."

M. o. E. a. R. Energy, "Interset Rate 5% for the renewable energy projects," 2018.




DOI (PDF): https://doi.org/10.20508/ijrer.v11i2.11782.g8185

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4