Potential roles of artificial intelligence in the lci of renewable energy systems

Paul A. Adedeji, Stephen A. Akinlabi, Nkosinathi Madushele, Obafemi O. Olatunji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Energy revolution from the conventional fossil fuels to clean energy is fast gaining traction with renewable and clean energy sources blazing the trail on the global scale. This has consequentially reduced electricity prices in certain countries and reduced carbon footprints in both manufacturing and service industries. Asides the advantages of these clean energy technologies, the assessment of their life cycle has recently gained more attention with life cycle inventory playing a major role. Life cycle inventory is a critical component in life cycle assessment. However, a life cycle inventory study is as accurate as the data used. This study presents a roadmap to the use of artificial intelligence (AI) techniques in life cycle inventory (LCI). The data chain for efficient local resident data availability for LCA studies was considered with a focus on AI integration. In addition, a framework for the use of AI in LCI was developed. The study concluded that it was possible to proffer solution to LCI data unavailability problem using AI with the joint support of public and private partners.

Original languageEnglish
Title of host publicationAdvances in Manufacturing Engineering - Selected Articles from ICMMPE 2019
EditorsSeyed Sattar Emamian, Farazila Yusof, Mokhtar Awang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages275-285
Number of pages11
ISBN (Print)9789811557521
DOIs
Publication statusPublished - 2020
Event5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 - Kuala Lumpur, Malaysia
Duration: 19 Nov 201921 Nov 2019

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period19/11/1921/11/19

Keywords

  • Artificial intelligence
  • Energy systems
  • Life cycle assessment
  • Life cycle inventory
  • Renewable energy sources

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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