A systematic decision support system to objectively evaluate retrospective energy efficiency modelling options

Abstract

Tax incentives are one of the methods used by the South African government to incentivise energy efficiency. One of these incentives is Section 12L of the Income Tax Act (1962), which allows a significant tax deduction as a result of quantifiable energy efficiency (EE) savings. The associated EE savings are calculated by means of baseline models and must be in accordance with the national standard for measurement and verification, i.e. SANS 50010, which is based on international practice. The present study developed a methodology that assists EE projects with incentive applications to objectively evaluate potential modelling options and ultimately select a final model. This methodology is based on the weighted sum method. It is verified by applying it to three actual case studies and is further validated by comparing the results obtained from the case studies to independent results of formal and successful incentive applications. The methodology allows for a transparent selection of a modelling option that is compliant with the relevant tax incentive regulatory requirements and untainted by personal bias.

Confirmatory factor analysis: Model testing of financial ratio's with decision support systems approach

“…However, they overlooked their predictive performance [14], while this research uses a CFI / TLI test yield score that is -8,82 viewed based on clause greater than 0.97 so it's very different from that clause. A systematic DSS as evaluation ingredient modeling as a base for decision-making used to a weighted-sum method to pick a final model which uses the monetary worth of the Section 12L tax incentive factor with a score between 0.1 to 0.33 [15], while in this research uses an RMR score that is 0.026 viewed based on a clause that meets the requirements is less than same with 0.08. The construct of marketing DSS with exploratory factor analysis (EFA) and KMO and Bartlett's test with yield valid and reliable instrument which is similar to this research looking at Chi-Square score and p-values [16], while pair-sample T-test with a yield of normality and Levene's test is evaluation and assessment of the model with the DSS approach as a comparative study [17].…”

“…Botes et al argue that arranged decision support systems to get a meter of backdated energy efficiency modeling options objectively operated to assist in the process of consideration in the decision-making using the weighted-sum method. These findings of the financial comparison appeared that Section 12L tax incentive of the monetary worth of the ascendancy amount of 10 percent also 33 percent if no medium were on hand to obtain the last model [15]. Shkeer and Awang argue that the Marketing Information System set up with a factor analysis study involving 100 respondents through KMO and Bartlett's test and component matrices from each item and internal reliability to measure instruments in the decision-making process resulting ineffectiveness in measuring marketing decision support systems [16].…”