Scholarly record
ANALYSIS FOR INTEGRATION OF RENEWABLE ENERGY AND ARTIFICIAL INTELLIGENCE IN OPERATION OF OIL AND GAS FACILITIES
Abstract
The general concern about climate change and the actions that must be taken to protect the environment are current concerns and occupy the first places on global agenda regarding the search for viable and sustainable solutions. Transition to green energy involves numerous intensely analysed issues with major implications for the economies of many countries. Thus, integration of renewable energy in oil and gas operations is an increasingly used strategy to reduce the carbon footprint and improve sustainability of the industry, aspects presented in this paper. This transition to more sustainable solutions helps oil and gas companies to reduce their emissions and comply with new environmental regulations, given that the share of oil and gas use is currently majority in the industry. The paper also presents a case study on analysis of use for renewable energy to a fuel distribution station and for an oil/gas measurement panel. The analysis of all relevant aspects is carried out through modelling and simulation, with MATLAB - Simulink, and by implication of artificial intelligence (AI) in the process of optimizing energy production and consumption.
Publication Impact Profile
- Captures
- Mendeley - Readers: 3
Publication details
References8
Nan M.S., Sultan A., Grecea D., Vitan C., Research on solar radiation potential as a source of renewable energy in the Motru area, MSE 2019, MATEC Web of Conferences 290, 11008 (2019), DOI: 10.1051/matecconf/ 201929011008. 201929011008
Sultan A., Nan M.S., Ilioni C. Vitan C., Mamara N., Study of potential wind power as a renewable energy source in the Motru area, SESAM 2019, MATEC Web of Conferences 305, 00070 (2020), DOI: 10.1051/matecconf/ 202030500070. 202030500070
https://commission.europa.eu/energy-climate-change-environment/overall-targets-and-reporting/2030-targets_en, [Accessed 21.05.2025].
MATLAB and Simulink Examples Available on https://www.mathworks.com/ academia/examples.html.
Hamdan A., Ibekwe K.I., Ilojianya V.I., Sonko S., Etukudoh E.A., AI in renewable energy: A review of predictive maintenance and energy optimization, International Journal of Science and Research Archive, 2024, 11(01), 718�729, DOI: 10.30574/ijsra.2024.11.1.0112.
Nicola A., Vitan C., Aron C., Matei D., Grecea I., Study of photovoltaic systems using modelling and simulation, SIMPRO 2021, https://doi.org/10.1051/ matecconf/ 202134203007. DOI: 10.1051/matecconf/202134203007
ATEX Directive, Equipment for potentially explosive atmospheres (ATEX), available https://ec.europa.eu/growth/sectors/mechanical-engineering/atexen, (2014).
Government Decision no. 1058 of August 9, 2006 on the minimum requirements for improving the safety and health protection of workers who may be exposed to a potential risk due to explosive atmospheres, 2006; [9]SR EN (IEC) 60079-10-1:2021 - Explosive atmospheres. Part 1. Classification ofareas. Explosive gas atmospheres, ASRO, 2021.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.