Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model

Olanrewaju, Oludolapo Akanni; Jimoh, A.A.; Kholopane, P.

doi:10.1016/j.energy.2013.10.038

Cited by 46 publications

(10 citation statements)

References 29 publications

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“…Similar to the technique proposed for this study, IDA-ANN-DEA has been applied in various studies. IDA-ANN-DEA was applied to South African industry to assess its energy potential [42]. The study concentrated on 11 energy-intensive industrial sectors from 1971 to 2008, and concluded that 49.9 per cent of energy could be saved when compared with the practice in 1975-1976.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of an Integrated Model to a Construction and Building Industry for Energy- Saving Assessment

Olanrewaju

2021

SAJIE

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The activities of the building and construction industry have made it one of the highest energy consumers and thus one of the highest emitters of greenhouse gases. The main objective of this study was to develop a system to determine energy saving in the industry. This was achieved through an integrated model of index decomposition analysis, an artificial neural network, and data envelopment analysis. Index decomposition analysis is used to understand the contribution of the factors responsible for energy consumption. These factors are inputs to the artificial neural network to predict the baseline energy consumption. The energy saving is finally determined through data envelopment analysis. The results showed that the integrated model presents a reasonable amount of energy saving in the building and construction industry.

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Section: Literature Reviewmentioning

confidence: 99%

Application of an Integrated Model to a Construction and Building Industry for Energy- Saving Assessment

Olanrewaju

2021

SAJIE

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“…Olanrewaju et al (2013) developed a combined Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis (IDA-ANN-DEA) model to assess the industrial energy consumption in South Africa for the period 1971-2008 [22]. Energy consumptions of the 11 sectors were decomposed into three explanatory factors: activity, structure and energy intensity.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of the Driving Factors Affecting Electricity Consumption in Africa Using Index Decomposition Analysis and Satellite Derived Data

Akhmetov¹,

Vundo²

2018

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Inadequate electricity access limits human development and affects quality of life in Africa. Hence, the improvement of electricity access has become a cornerstone of the African energy policy. This study proposes the use of satellite derived data of nighttime lighting, population count and Index Decomposition Analysis (IDA) to identify the driving factors for changing in electricity consumption in Africa between 2000 and 2013. The results of decomposition analysis indicated that population growth throughout the continent resulted in increased electricity consumption, while other factors had different effects. The results of this study could contribute to the design of better energy policy to achieve sustainable development of the continent.

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“…Hence, (11) Equations (10) as well as (11) will allow the accountability for the extra energy consumed while keeping the expected energy to be consumed at the baseline level. This model derived has been utilized in various case studies.…”

Section: Substituting the Variables Of Equations (1 -3) As Input Valumentioning

confidence: 99%

“…The case studies are from Canada's industrial sector [9,10], South Africa's industrial sector [11] and a particular food and beverage industry from South Africa [12]. Decomposition model explains energy consumption changes at a specific period of time.…”

Section: Case Studiesmentioning

confidence: 99%

Integrated model for analyzing industrial energy potential

Olanrewaju

Munda

2015

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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Various studies have proved integrated models to analyze better than single models in the dynamics of energy variables quantification. The present study is a developed integrated Index Decomposition Analyses (IDA), Artificial Neural Network (ANN) and Data Envelopment Analyses (DEA). This model quantifies the industrial sector's possible energy potentials. The considered variables of the study include activity, structure and intensity. Presentation of results to various applications of the model is expressed in this study.

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Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model

Cited by 46 publications

References 29 publications

Application of an Integrated Model to a Construction and Building Industry for Energy- Saving Assessment

Application of an Integrated Model to a Construction and Building Industry for Energy- Saving Assessment

Assessment of the Driving Factors Affecting Electricity Consumption in Africa Using Index Decomposition Analysis and Satellite Derived Data

Integrated model for analyzing industrial energy potential

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