Influence of Artificial Intelligence on Resource Consumption

Uriarte-Gallastegi, Naiara; Landeta-Manzano, Beñat; Arana-Landin, Germán; Laskurain-Iturbe, Iker

doi:10.1007/978-3-031-43666-6_45

Cited by 1 publication

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, a more nuanced understanding is needed, as certain technologies, such as sensors, RFID, and AI, turned out to be the most relevant, while others had a negative or no effect [20]. Although, on the other hand, if we take AI, for example, academic literature has highlighted the importance of combining AI with other technologies (IoT, Big Data (BD), robotics, among others) in areas such as economics, quality, design, energy management, and safety in an industrial environment and applied in various sectors [21].…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of AI in Improving Environmental Sustainability: A Focus on Energy Management

Uriarte-Gallastegi,

Arana-Landín,

Landeta-Manzano

et al. 2024

Energies

View full text Add to dashboard Cite

This research addresses the increasing importance of understanding how Artificial Intelligence can facilitate the transition of companies to a Circular Economy model. This study focuses on energy management, examining its impact on efficiency and emissions across a multi-case analysis of 18 projects in diverse sectors. The findings indicate that Artificial Intelligence positively influences both variables, with variations across applications and sectors. Notably, Artificial Intelligence significantly enhances energy efficiency in four out of six sectors, achieving over 5% improvement in half of the projects. Regarding emissions, positive effects are observed in 15 out of 18 projects, resulting in over 5% reductions in seven cases. Artificial Intelligence plays a pivotal role in emissions reduction in the Design and Energy sectors, with some projects achieving over 20% reductions. Additionally, this study explores how improved energy efficiency positively affects strategic business variables, such as cost, quality, and delivery time. The impact on emissions contributes to reducing occupational risks, particularly those associated with chemical and biological agents. Although managers are satisfied, measures need to be taken to overcome the lack of employee acceptance. These findings are of great interest to the stakeholders involved in the integration of Artificial Intelligence into companies.

show abstract

Section: Literature Reviewmentioning

confidence: 99%