Assessing potential reduction in greenhouse gas: An integrated approach

Oludolapo Akanni Olanrewaju, Charles Mbohwa

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Greenhouse gases remain as threat to the environment. Various models employed in greenhouse gases are either to determine the causative factors responsible for emission, forecast emission or to optimize. Integrating these models would reduce the limitations of individual models to better assess possible greenhouse mitigation. This paper addresses the management technique for analyzing, assessing and mitigating industry's carbon dioxide (CO2) emission. The current work offers a different technique based on an integrated model utilizing the functions of Index Decomposition Analysis (IDA), Artificial Neural Network (ANN) and Data Envelopment Analysis (DEA) composed of activity, structure, intensity and energy-mix as inputs responsible for CO2 emission. By considering how the three different models are integrated into one system, it will be demonstrated how much percentage of an industry's CO2 can be reduced. The Canadian industrial sector was analyzed using the integrated model and it was discovered that 3.13% of emitted CO2 from year 1991 to year 2035 could be mitigated.

Original languageEnglish
Pages (from-to)891-899
Number of pages9
JournalJournal of Cleaner Production
Volume141
DOIs
Publication statusPublished - 10 Jan 2017

Keywords

  • Carbon dioxide emission
  • Industrial sector
  • Integrated model

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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