D. Tech. Industrial Engineering. / Discusses purpose of this study is to derive a new model capable of advanced diagnosis and analysis of energy usage to determine the possible energy efficiency potential through the following in a single model: Analysis of industrial historical data; Prediction of the industrial energy baseline; Computation of the industrial energy efficiency; and Optimization of the industrial energy consumption usage. In this context, the development of a new model involves: Carrying out literature survey; Carrying out Mathematical Analysis of the dynamics of energy efficiency in an industry; Critically analyzing and testing existing models; Evolve a new and novel model; Test the model using data from specific industry; Apply the model to eleven industrial sectors in South Africa. This thesis on energy efficiency potential will be a milestone for different stakeholders, policymakers and decision makers in the energy sector at national and international levels who are, or will be interested in reducing energy input and still produce the observed output levels, by becoming technically efficient. The approach adopted by the study is the integration of Index Decomposition Analysis (IDA), Artificial Neural Network (ANN) and Data Envelopment Analysis (DEA) into a single model.This methodology combines modeling, which is at the core of an energy-management technique, with a wider interpretation of activity growth, structure and efficiency changes which contribute to changes in energy consumption.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:tut/oai:encore.tut.ac.za:d1001030 |
| Date | January 2013 |
| Creators | Olanrewaju, Oludolapo Akanni. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format |
Page generated in 0.0133 seconds