MAGNT Research Report (ISSN ) Vol.4 (2). PP

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1 Increase the Performance of Power Station: Results and Analysis of an Empirical Study of the ISO 5000 Energy Management Systems in the Iraqi Ministry of Electricity Noor Shakir Mahmood, Seri Rahayu Kamat 2, Ahmed Ali Ajmi 3, 2, 3 Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia, 3 Ministry of Electricity, Baghdad, Iraq Abstract: The energy management, according to ISO 5000 can lead to establishing of green engineering in the industries including production energy. The main purpose of this paper is to investigate and explore the standard ISO 5000 that specializes in the field of energy management. This study has included aspects of ISO 5000 in the ministry of electricity of Iraq by the survey and distributing the questionnaires to the respondents. This research presents the results of over 63 responders, including 3 managers and over 50 engineers who have the decision to adopt ISO 5000 in the power station at the ministry of electricity of Iraq. This paper has been used two types of tools SPSS software the first type was a parametric test like the correlations, mean, standard deviation, regression analysis, histograms and P P plot. But the second type of test was non-parametric tests like Mann-Whitney U test and Kruskal-Wallis H test. Results presented that 95. % of respondents believe that the implementation of the ISO 5000 led increase the efficiency of energy production in the power station while 2.5 % said the difficulty of it. This study showed 93.9 % of respondents they said that the implementation of the requirements of ISO 5000 in the power station easy. Conversely, that.2 % of respondents disagreed that % of respondents said steps the adoption of ISO 5000 is expensive, contrast 47.3 % of respondents said not expensive. Keywords: ISO 5000; Power station; Continual Improvement; Performance; SPSS.. Introduction In the few last years, the power sector in Iraq has witnessed large motivations to go to implementation energy management system standards. The one that is the most popular standard is the ISO 5000 Energy management systems []. The standard ISO 5000 identifies the requirements for maintaining, implementing, and adoption, establishing and improving an energy management system [2].The standard ISO 5000 aims to enable an organization to follow a systematic energy to ensure continual improvement in sector energy performance, as well as it helps the organizations to reduce the energy use and reduce the energy costs [3]. The author has researched the practices of ISO 5000 in the sectors of product energy in the power station in Iraq, a decision was made to take a step further and then get on the certified of ISO The main objective of this paper to establish a set of sustainable energy management concepts, adoption ISO 5000 Energy Management Standard in the power station in Iraq. The second objective of this paper analyzes the general efficiency of energy in the power station in Iraq. Main purpose of this questionnaire was to specify the pivotal elements that effect on the energy efficiency. The data were collected by

2 the survey at the power station in the Iraqi Ministry of Electricity. The data have been analysis by using the statistical software package SPSS. This paper will check in the many hypotheses that have relation with improving energy. Using correlation, regression, histogram, Mann-Whitney U test and Kruskal-Wallis H test in SPSS. 2. Methodology This research took about 5 months to finish collecting data from the power station in Iraq. The data of survey, including (managers and engineers who have a decision about adoption to standards ISO 5000 in their power station. The research process requires a sequence of steps that has been used as shown in Figure. The questionnaire was distributed to respondents in the power station, and the questionnaire has been designed according to the objectives of the study. The questionnaire was divided into three sections: () Section A: (demographic profile). (2) Section B: (explained the reasons applying the standard ISO 5000). (3) Section C: this section includes Independent variable Cost Reduction, Quality Improvement, Organization Environment Performance, Economic Sustainability, Energy Reduction and dependent variable (Adoption ISO 5000). The questionnaire has been distributed to 63 samples, including Managers and engineers as shown in figure 2. Fig.. Steps methodology details

3 Table 2. Age for Participants Fig.2. Population of study 3. Research Results and Discussion 3. Demographic Characteristics. The survey of the demographic Included 63 of respondents who are directly responsible for maintaining the quality management systems including 83% of respondents is male and 7% female as shows in table. The survey included also current employment for the respondents in the power station. From the results of this survey the largest proportion of the respondents were from the category of engineers by 92% and followed by the category of managers by 8% as a shown in figure 3. %8 Table. Gender for Participants %92 Manager Engineer Fig.3. Current Employment The age range of respondents un the demographic characteristics was from 35 to 44 years as shown in table 2. The survey also covered the total cost of the adoption of ISO 5000, the results showed 50.9 % of respondents they confirmed that the implementation of the requirements of ISO 5000 is the high cost. But 47.3 % said the

4 adoption ISO 5000 is no expensive compared with the benefit of their application as a shown in table 3. Table 3. Cost of ISO 5000 To get the ideal results we must be able to identify "perfectly"(p), the values of P groups can be helpful through using the asterisk system and P value [6]. As it is shown below as:- P < 0.05 * The significant 95 % P < 0.0 ** The significant 98% P < 0.00*** The significant 99% 3.2 Results of Correlations and Standard Deviation The correlation coefficient can be defined as a quantitative measure of the kind of correlation and used to examine the statistical relationships between two or more random variables [4]. To check the measure correlation to any two or more random variables the values expected under the model in the correlation coefficient has to be between.0 and.0 [5]. The results of correlation between dependent and independent variables have been clarified in table 4. From table 4. Can see the results of correlation for dependent and independent variables as a show:- ) The significant of confident between ISO 5000 and Cost Reduction 98% at 0.342**. 2) The significant of confident between ISO 5000 and Quality Improvement 98% at 0.779**. 3) The significant of confident between ISO 5000 and Organization Environmental Performance 98% at 0.380**. 4) The significant of confident between ISO 5000 and Energy Reduction 98% at 0.54**. Table 4. Results of Correlation between Dependent and Independent variables

5 3.3 Test Hypotheses by Regression Analysis Regression testing is considered one of the most important tests in statistics comes after regression testing. And it is used when we want to know the value of a variable to another variable like a dependent variable to independent variable [7]. ) H. The first Regression Analysis between the reduction of cost (RC) and implementation of ISO 5000 the proven results the confident level between the dependent variable and independent variables is 99% at (0.342, p < 0.00). That mean Implementation of ISO 5000 at the power station leads to reduce the costs of production and consumption of energy as shown in table 5. quality in the power station as shown in table 6. 3) H3. Third Regression Analysis between the performance of environmental (PE) and implementation of ISO 5000 the proven results the confident level between the dependent variable and independent variables is 99% at (0.380, p < 0.00). That mean Implementation of ISO 5000 at the power station leads to improve the performance environmental as shown in table 7. 4) H4. The fourth Regression Analysis between the sustainability economic (ES) and implementation of ISO 5000 the proven results the confident level between the dependent variable and independent variables is 99% at (0.605, p < 0.00). That mean Implementation of ISO 5000 at the power station leads to create the sustainability economic as shown in table 8. Table.5 Results of analysis RC & D.V M R Std. E Change F df 2.38 df2 6 Sig 2) H2. The second Regression Analysis between the improvement of quality (IQ) and implementation of ISO 5000 the proven results the confident level between the dependent variable and independent variables is 99% at (0.779, p < 0.00). That mean Implementation of ISO 5000 at the power station leads to improvement of 5) H5. The fifth Regression Analysis between the reduction of energy (RE) and implementation of ISO 5000 the proven results the confident level between the dependent variable and independent variables is 99% at (0.54, p < 0.00). That mean Implementation of ISO 5000 at the

6 power station leads to a reduction of the consumption energy as shown in table 9. Table.6 Results of analysis IQ & D.V M R Std. Change Statistics Error Change df df2 Sig Table.7 Results of analysis PE & D.V M R Std. Change Statistics Error Change df df2 Sig Table.8 Results of analysis SE & D.V M R Std. Change Statistics Error Change df df2 Sig Table.9 Results of analysis RE & D.V M R Std. Change Statistics Error Change df df2 Sig

7 3.4 Results of Histogram for Variables According to the results extracted from all variables we can see that the distributions of histograms have a normal curve, this means all the data are normal, the histograms distribution has been represented first by Karl Pearson [8]. As it is shown in the following Fig.6. EOP Histogram Fig.7. SE Histogram figures: Fig.4. RC Histogram Fig.5. IQ Histogram

8 Fig.8. RE Histogram 3.5 Results and analysis of the P P plot This study analyzed P P plot each variable to check of the relation closely between two data sets. Statistical studies have been used P P plot to check the fit of probability distributions for the lines on the plot to refer to specific regions [9]. P-P plots helpful to identify how successful a Fig.0. IQ P P plot point pattern should be on the linear P-P plot [0]. From the results of P P plot for all variables we can see that the identical data with the centerline and given the normal curve on the Y-axis as shown in the following figures:- Fig.9. RC P P plot theoretical distribution of data. If the data distribution model normal and correct the

9 Fig.. EOP P P plot Fig.3. RE P P plot 3.6 Non-Parametric analysis 3.6. Results of Mann-Whitney U test This study used the Mann-Whitney U test as a Non-Parametric tool to make comparison between independent groups. The results of this test have proven possibility of providing strong support for the implementation of ISO 5000 in the power station with the U that different values of the variables from the enterprise planning for ISO 5000 at (U = 728, p =.98) till the respondents' views about the ease of implementation of the requirements of ISO 5000 at (U = 70, p =.98). While the costs and the processes have a high importance to respondents of the P value = 0. The details of results explained in the table 0. Fig.2. SE P P plot

10 Table.0 Results of Mann W U Supporter Obtain Adaption Processing Costly M-W U Wilcoxon W Z Sig Results of Kruskal-Wallis H This paper has been applied the Kruskal-Wallis H test to check whether the samples came from the same distribution or no. And also for comparing between independent variables as well as to identify which sample that has stochastic dominance one other sample. The results of this test have proven possibility of providing strong support for the implementation of ISO 5000 in the power station with the Chi-Square that different values of the variables from the enterprise planning for ISO 5000 at (H =.660, p =.98) till the respondents views about the ease of implementation of the requirements of ISO 5000 at (H = 2.0, p =.98). While the costs and the processes have a high importance to respondents of the P value = 0. The details of results explained in table. Table. Results of Kruskal Supporter Obtain Adaption Processing Costly Chi-Square df Sig

11 4. Conclusion In this research, the results of a survey were held in one of the Iraqi Ministry of Electricity plants for adoption the ISO This study was an empirical to evaluation possibility of applying ISO 5000 in the power station. The authors took the burden of a customizing survey in the new area in Iraq to implementation this ISO. The authors already have used the survey as their to extract accurate and reliable results from direct contact with decision-makers and executives from the decision to adopt the new ISO as a system at work in their power station. The analysis was performed by using SPSS ver. 20 on the 63 respondent survey. The study focuses on the factors that can affect the efficiency of energy, this paper also included brief of demographic presentation for the respondents, the demographic analysis has been explained that the male has the highest percent 83% of respondents. The survey included also current employment largest proportion of the respondents were from the category of engineers by 92%. The results of our survey in this study indicate to 50.9 % of respondents think the implementation of the requirements of ISO is costly. The results showed the relationship between the independent and dependent variables is very important through the correlation test that proves the significance of confident level between ISO 5000 and for all independent variables was 98%. While the regression analysis between and implementation of ISO 5000 the proven results the confidence level is 99%. Regarding data distributions of histograms and P P plot all the results proved to have a normal curve, and the data is normal. This new trend of this research in the power stations in Iraq will give other factors to present assist and support those stations for increasing the efficiency energy and reduce consumptions. Acknowledgement The authors gratefully acknowledge the funding provided by the Ministry of Electricity of Iraq (MOE) and their continuous support and encouragement. The authors also would like to acknowledge UTeM for the research support. We express our many thanks and gratitude to Dr. Seri Rahayu Kamat to support us. We would also like to show our gratitude to the professor madya Dr. Hambali bin Arep, deputy dean research and postgraduate studies for his support and encouragement for us. References [] Ranky, P G. (202): An Introduction and overview of ISO 5000, the International Energy Management Standard A DVD video quarto (4) set, by [2] Wulandari, M., Laskurain, I., Fa, M. C., & Heras-Saizarbitoria, I. (205). Early Adoption of ISO 5000 Standard: An Empirical Study. In Sustainable Operations Management (pp ). Springer. Publishing International [3] Johnson, H., Johansson, M., Andersson, K., & Södahl, B. (203). Will the ship energy efficiency management plan reduce CO2 emissions? A comparison with ISO 5000 and the ISM code. Maritime Policy & (2), Management, [4] Song, L., Zhou, Z., Wang, X., Zhao, X., & Elson, D. S. (206). Simulation of speckle patterns with pre-defined correlation distributions. Biomedical Optics Express, ,(3)7 [5] Oremus, M., Girouard, H., & Raina, P. (206). A Systematic Review of Reviews to Examine the Association Between Hypertension and Cognitive Impairments in Adults. In Hypertension and the Brain as an End-Organ Target (pp. -9). Springer. Publishing International

12 [6] Chan, Y. H. (2003). Biostatistics 04: correlational analysis. Singapore Med J,. 64-9,(2)44 [7] Montgomery, D. C., Peck, E. A., & Vining, G. G. (205). Introduction to linear. Sons regression analysis. John Wiley & [8] Pearson, K. (895). "Contributions to the Mathematical Theory of Evolution. II. Skew Variation in Homogeneous Material". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 86: Bibcode:895RSPTA P. doi:0.098/rsta.895. [9] Michael, J. R. (983). The stabilized (), Biometrika, probability plot. [0] Nelson, L. S. (989). A stabilized normal probability plotting technique. Journal of (3), Technology, Quality