Implementing additive manufacturing in energy asset management: Lessons for reducing spare parts footprint

The implementation of additive manufacturing (AM), commonly known as 3D printing, is revolutionizing energy asset management by reducing the environmental and logistical challenges associated with traditional spare parts supply chains. This paper explores the lessons learned from integrating AM in energy sectors such as oil and gas, renewable energy, and power generation to minimize spare parts' footprint and improve overall asset performance. By leveraging AM technologies, energy companies can produce spare parts on-demand, significantly reducing the need for large inventories and long-distance shipping, thus lowering carbon emissions and operational costs. The flexibility of AM enables the rapid customization of parts, ensuring that critical components are available without extended lead times, which is particularly crucial in remote and offshore energy operations. Furthermore, the ability to fabricate lightweight, durable, and highly efficient parts from advanced materials enhances asset efficiency and lifespan. This paper highlights successful case studies where AM has been deployed to streamline maintenance, improve asset reliability, and support sustainability goals. Additionally, it addresses the challenges of adopting AM in energy asset management, including material limitations, regulatory compliance, and the need for skilled labor. The growing role of digitalization, particularly digital twins, in integrating AM with predictive maintenance systems is also discussed. By providing real-time data on asset conditions, digital twins enable precise and timely manufacturing of replacement parts, further reducing downtime. As energy companies continue to prioritize sustainability and cost-efficiency, AM presents an innovative solution for minimizing the environmental impact of spare parts management while ensuring operational continuity.. Keywords: Additive Manufacturing, Energy Asset Management, Spare Parts Footprint, 3D Printing, Sustainability, Operational Efficiency, Digital Twins, Predictive Maintenance, Customization, Carbon Reduction, Oil And Gas, Renewable Energy, Supply Chain Optimization, Material Innovation.

Authors

Publication Details

Journal
Engineering Science & Technology Journal
Published
2024-10-24
DOI
https://doi.org/10.51594/estj.v5i10.1672
Citations
3
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.88
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article

Implementing additive manufacturing in energy asset management: Lessons for reducing spare parts footprint

Enobong Hanson, Adeoye Taofik Aderamo, Chukwuebuka Nwakile, Ovie Vincent Erhueh et al.
3 citations
Engineering Science & Technology Journal
Recycling and Waste Management Techniques
0.88
article

Implementing additive manufacturing in energy asset management: Lessons for reducing spare parts footprint

Enobong Hanson, Adeoye Taofik Aderamo, Chukwuebuka Nwakile, Ovie Vincent Erhueh, Tari Yvonne Elete
article en
3 citations

Abstract

The implementation of additive manufacturing (AM), commonly known as 3D printing, is revolutionizing energy asset management by reducing the environmental and logistical challenges associated with traditional spare parts supply chains. This paper explores the lessons learned from integrating AM in energy sectors such as oil and gas, renewable energy, and power generation to minimize spare parts' footprint and improve overall asset performance. By leveraging AM technologies, energy companies can produce spare parts on-demand, significantly reducing the need for large inventories and long-distance shipping, thus lowering carbon emissions and operational costs. The flexibility of AM enables the rapid customization of parts, ensuring that critical components are available without extended lead times, which is particularly crucial in remote and offshore energy operations. Furthermore, the ability to fabricate lightweight, durable, and highly efficient parts from advanced materials enhances asset efficiency and lifespan. This paper highlights successful case studies where AM has been deployed to streamline maintenance, improve asset reliability, and support sustainability goals. Additionally, it addresses the challenges of adopting AM in energy asset management, including material limitations, regulatory compliance, and the need for skilled labor. The growing role of digitalization, particularly digital twins, in integrating AM with predictive maintenance systems is also discussed. By providing real-time data on asset conditions, digital twins enable precise and timely manufacturing of replacement parts, further reducing downtime. As energy companies continue to prioritize sustainability and cost-efficiency, AM presents an innovative solution for minimizing the environmental impact of spare parts management while ensuring operational continuity.. Keywords: Additive Manufacturing, Energy Asset Management, Spare Parts Footprint, 3D Printing, Sustainability, Operational Efficiency, Digital Twins, Predictive Maintenance, Customization, Carbon Reduction, Oil And Gas, Renewable Energy, Supply Chain Optimization, Material Innovation.

Engineering Science & Technology JournalVol. 5(10)
Openalex Percentile: Top 25%
Recycling and Waste Management Techniques
0.88
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