Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach DOI Creative Commons
Marina Polonia Rios, Rodrigo Goyannes Gusm�ão Caiado, Yiselis Rodríguez Vignon

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10902 - 10902

Published: Nov. 25, 2024

This research presents an innovative solution to optimise maintenance planning and integrity in offshore facilities, specifically regarding corrosion management. The study introduces a prototype for on oil platforms, developed through the Design Science Research (DSR) methodology. Using 3D CAD/CAE model, integrates machine learning models predict progression, essential effective strategies. Key components include damage assessment, regulatory compliance, asset criticality, resource optimisation, collectively enabling precise efficient anti-corrosion plans. Case studies gas platforms validate practical application of this methodology, demonstrating reduced costs, lower risks associated with corrosion, enhanced efficiency. Additionally, opens pathways future advancements, such as integrating IoT technologies real-time data collection applying deep improve predictive accuracy. These potential extensions aim evolve system into more adaptable powerful tool industrial maintenance, applicability beyond other environments, including onshore facilities.

Language: Английский

A systematic review of artificial intelligence and machine learning in energy sustainability: Research topics and trends DOI

Nikan Shahverdi,

Arina Saffari,

Babak Amiri

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 5551 - 5578

Published: May 13, 2025

Language: Английский

Citations

0
Winds of Change: A Study on the Resource Viability of Offshore Wind Energy in Montenegro DOI Creative Commons
Miloš Bogdanović, Špiro Ivošević

Energies, Journal Year: 2024, Volume and Issue: 17(8), P. 1852 - 1852

Published: April 12, 2024

The energy produced from renewable sources (solar, wind, hydro, geothermal, and biomass) provides direct access to clean safe energy. Offshore wind energy, generated through farms, has traditionally relied on fixed structures, whereas innovative floating structures have been commercially applied since 2017. This study investigates offshore areas in Montenegro suitable for farm construction. Research average annual speeds successfully identified a surface area deemed constructing the Montenegrin part of Adriatic Sea. Analysis available bathymetric databases pinpointed technical solutions supporting turbines required construct an farm. Applying assessment method defined waters, seven blocks as research results indicate that farms can be built waters with potential corresponding total capacity 2299.794 MW, which includes 2034.48 MW 126.759 138.555 jacket-fixed structures.

Language: Английский

Citations

2
Life Cycle Assessment of Piezoelectric Devices Implemented in Wind Turbine Condition Monitoring Systems DOI Creative Commons
Rabie Aloui, Raoudha Gaha, Barbara Lafarge

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3928 - 3928

Published: Aug. 8, 2024

Assessing the vibration signature produced by a rotating component of wind turbine enables identification operational conditions and detection potential faults at an early stage. The main purpose is to enhance sustainability turbines while increasing lifespan uptime their systems. This analysis based on processing signal provided sensors, which often incorporates piezoelectric transducers. paper evaluates consequences employing sensors used for measurement electrical machines integrated into conducting life cycle assessment (LCA). widespread use materials due high sensitivity vibrations, although selection also influenced regulatory restrictions. research focuses environmental impact accelerometers commonly in condition monitoring collected literature data manufacturing processes are inputted LCA model powered Ecoinvent 3 database. carried out using European ILCD 2011 Midpoint+ method calculating unique scores selected categories. results presented discussed terms indicators, as well ecological recommendations design.

Language: Английский

Citations

2
DEVELOPMENT OF AN AUTOMATED INFORMATION SYSTEM FOR ACCOUNTING AND MOVEMENT OF WIND TURBINE EQUIPMENT DOI Open Access

K.M. Akishev,

K.Sh. Aryngazin,

Aslan Kalkenov

et al.

Bulletin of Toraighyrov University Energetics series, Journal Year: 2024, Volume and Issue: 1,2024, P. 40 - 53

Published: March 29, 2024

The number of operating wind farms in the world is growing year by year. Kazakhstan annually increases turbines, which currently stands at more than 200. In this regard, today there a problem related to need develop programs that allow solving problems accounting and movement farm equipment. This task must be solved primarily due large equipment requiring replacement, repair maintenance. presented article describes developed program «Automated information system for Republic Kazakhstan». database contains all basic automation used operation turbines. stores data about each turbine with coordinates location latter, can provided online from any access point. MS SQL management studio, C# software environment. menu quite informative ergonomic. practical purposes companies engaged farms. difficulty creating common on lies heterogeneity equipment, since suppliers are different manufacturers, both public private operation. Nevertheless, an algorithm being using machine learning methodology, allows updating turbines based open sources. Keywords: automated system, management, accounting, program, data, efficiency, turbine.

Language: Английский

Citations

0
None DOI Open Access

Торайғыров Хабаршысы,

Энергетическая Серия,

Тематическая Направленность

et al.

Bulletin of Toraighyrov University Energetics series, Journal Year: 2024, Volume and Issue: 1,2024

Published: March 29, 2024

За достоверность материалов и рекламы ответственность

Language: Русский

Citations

0
Toward Sustainable Operations Strategy: A Qualitative Approach to Theory Building and Testing Using a Single Case Study in an Emerging Country DOI Open Access
Gatot Yudoko

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9494 - 9494

Published: Oct. 31, 2024

The increasing global consciousness and collective recognition of the importance sustainability, coupled with initiatives focused on sustainable development, have resulted in a heightened commitment transformation among organizations corporations their endeavors to contribute achievement development goals through corporate sustainability initiatives. Prior studies underscored effects various strategic levels, such as corporate, business, operations, paving way for further investigation. This paper seeks establish theoretical framework operations strategy six propositions subsequently validate this via qualitative case study analysis production processing special economic zone an emerging nation, specifically Indonesia. findings from empirical testing indicate that proposed has been validated minor adjustments, inclusion good governance adoption local core values. also presents managerial implications, along suggestions future research avenues.

Language: Английский

Citations

0
Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach DOI Creative Commons
Marina Polonia Rios, Rodrigo Goyannes Gusm�ão Caiado, Yiselis Rodríguez Vignon

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10902 - 10902

Published: Nov. 25, 2024

This research presents an innovative solution to optimise maintenance planning and integrity in offshore facilities, specifically regarding corrosion management. The study introduces a prototype for on oil platforms, developed through the Design Science Research (DSR) methodology. Using 3D CAD/CAE model, integrates machine learning models predict progression, essential effective strategies. Key components include damage assessment, regulatory compliance, asset criticality, resource optimisation, collectively enabling precise efficient anti-corrosion plans. Case studies gas platforms validate practical application of this methodology, demonstrating reduced costs, lower risks associated with corrosion, enhanced efficiency. Additionally, opens pathways future advancements, such as integrating IoT technologies real-time data collection applying deep improve predictive accuracy. These potential extensions aim evolve system into more adaptable powerful tool industrial maintenance, applicability beyond other environments, including onshore facilities.

Language: Английский

Citations

0