This study is related to the energy and exergy analysis of a model sugar factory in Turkey. In this study, energy efficiency issue in food industries are investigated within a general context to ...provide energy saving by reducing energy – exergy losses in the sugar production process. The aim of this study is to determine the best energy and exergy efficiency with the mass and energy balances according to design parameters for a sugar factory. Energy savings that can be applied in food industries are examined. Appropriate scenarios are prepared, and optimization results are compared. As a result of thermodynamics calculations made according to the 1st and 2nd Laws of Thermodynamics, energy and exergy efficiencies of a factory were calculated. Factory total energy efficiency and exergy efficiency were found to be 72.2% and 37.4%, respectively, and according to these results, energy quality was found to be 0.64. In conclusion, the current turbine power process energy and exergy efficiencies were 46.4% and 27.7%, respectively, and the optimized turbine power process energy and exergy efficiencies were 48.7% and 31.7%, respectively. This study performs an attitude to the problem of exergy optimization of the turbine power plant. An overall assessment of the energy and exergy efficiency calculations is performed and is focused on how they should be.
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•The energy and exergy efficiency of a sugar plant depends more on steam than process.•Energy and exergy efficiencies of a factory increase when the turbine power increases, as in a sugar factory.•Statistical analysis demonstrates the precision of data.•Thermoeconomic analysis of the energy and exergy efficiency of the Çumra Sugar Integrated Plant is performed.
The civil aviation demand forecast is a carefully formed perspective for airport system activities. Its main use is to predict possible needs for the planning and financial management processes for ...air carriers and civil aviation authorities. It is vital to conduct frequent analyses and projections of demand in order to meet their customers' expectations by balancing supply and demand and staying abreast of the ever-changing aviation industry. The purpose of this paper is to establish a mathematical relationship between the socioeconomic explanatory factors such as (population, Gross Domestic Product (GDP), consumption expenditure, rate of exchange, industry, imports, and exports) and activities (passenger movements and aircraft operations) at Baghdad International Airport in order to develop an econometric model. The required data had been collected for the past ten years. Eight models were developed depending on one or more of the explanatory variables using SPSS software, and they were then subjected to cross-comparison to see which model was more robust. According to the findings of the statistics, the gross domestic product, population size, and consumption expenditure are the most appropriate explanatory variables that have a significant impact on these activities, where they had a high R2 and F-statistics value equal to 90% and 73.442, respectively, for the model of air passengers and GDP and 90% and 48.737 for the model of flight operations and GDP.
Purpose: Teachers’ roles in delivering classroom instructions and executing lessons in this 21st century is much bigger than assumed by many who are not in the teaching field. Some people perceived ...teaching is a stressful job and those who do not have the passion would give up after a certain number of years. Many have opted for early retirement and this number has increased year by year. Thus, this study aims to analyze the factors (health, school management and workload) that influence teachers’ intention towards early retirement.
Design/Methodology/Approach: 152 teachers were chosen from four cluster schools in Dungun, Terengganu and online questionnaires were distributed among them using Stratified Random Sampling Method. The data was analyzed using SPSS. Findings: The results show only teachers’ health influence them towards early retirement intention. Meanwhile, the other factors are viewed as a challenge in the teaching world and would not influence them to opt for early retirement.
Implications/Originality/Value: This finding will assist the Ministry of Education in taking actions, to circumvent teachers from leaving their profession before reaching the compulsory retirement age. As a result, the school’s management will focus on improved alternatives in managing the teachers’ welfare and controlling the factors of early retirement among teachers.
Purpose: Teachers’ roles in delivering classroom instructions and executing lessons in this 21st century is much bigger than assumed by many who are not in the teaching field. Some people perceived ...teaching is a stressful job and those who do not have the passion would give up after a certain number of years. Many have opted for early retirement and this number has increased year by year. Thus, this study aims to analyze the factors (health, school management and workload) that influence teachers’ intention towards early retirement.
Design/Methodology/Approach: 152 teachers were chosen from four cluster schools in Dungun, Terengganu and online questionnaires were distributed among them using Stratified Random Sampling Method. The data was analyzed using SPSS.
Findings: The results show only teachers’ health influence them towards early retirement intention. Meanwhile, the other factors are viewed as a challenge in the teaching world and would not influence them to opt for early retirement.
Implications/Originality/Value: This finding will assist the Ministry of Education in taking actions, to circumvent teachers from leaving their profession before reaching the compulsory retirement age. As a result, the school’s management will focus on improved alternatives in managing the teachers’ welfare and controlling the factors of early retirement among teachers.
Purpose: In 2020, the emergence of Corona Virus Disease (COVID-19) has led Malaysia to an unprecedented public health crisis. Due to this, all universities in Malaysia are forced to shut down any ...physical activities by the Government. Hence, Universiti Teknologi MARA (UiTM) had conducted an Online Distance Learning (ODL) starting on 13th April 2020 due to the spread of the Covid-19 virus. As a result, the government had to implement the Movement Control Order (MCO) to control the spread of the disease among the community. In attending online classes, a lot of challenges are faced by the students. Therefore, this study reveals out a few challenges: time management, family support and financial crisis during online learning.
Methodology: The sample of the study is 100 of UiTM students throughout Malaysia and the researchers set a form of questionnaires, distributed via google form to the respondents using convenience sampling.
Findings: SPSS is used in analyzing the data and the result shows that all independent variables (time management, family support, financial crisis) are challenges towards online learning. Implications: Thus, this study will benefit the Ministry of Education, universities and students in managing and controlling their challenges while attending online classes during Pandemic Covid 19.