scholarly journals The Effect of Energy Consumption on Output: A Panel Data Study of Manufacturing Industries in Egypt

2020 ◽  
Vol 9 (3) ◽  
pp. 490
Author(s):  
Iman Al-Ayouty

Subsidizing electricity and non-electrical energy products has affected manufacturing output in Egypt, especially given the structure of Egypt’s manufacturing sector which leaning heavily towards capital- and energy-intensive products. This effect is captured in a production function estimated for the twenty industries making up Egypt’s manufacturing sector over the period 2002-2016. With homogeneous parameters, the estimated output elasticity of energy is 0.28. With panel member parameter heterogeneity, the output elasticity of energy is positive and statistically significant in ten manufacturing industries. Negative and statistically significant elasticity is however found in refined petroleum products, fabricated metal products, and electrical machinery and equipment. This indicates suboptimal energy use. Elasticity is also negative, though statistically insignificant, in: textiles, basic metals, and “other manufacturing”. Except for “other manufacturing”, industries of negative elasticity are all energy-intensive.  Moreover, refined petroleum, fabricated metals and basic metals are pollution-intensive. A priority policy measure is to remove subsidies from energy inefficient and polluting industries as opposed to mere ‘across-the-board’ removal. Keywords: energy consumption; manufacturing industries; energy- and pollution intensive; Egypt

2021 ◽  
Vol 13 (11) ◽  
pp. 6192
Author(s):  
Junghwan Lee ◽  
Jinsoo Kim

This study analyzes the changes in energy consumption of the Korean manufacturing sector using the index decomposition analysis (IDA) method. To capture the production effect based on actual physical activities, we applied the activity revaluation (AR) approach in the analysis. We also developed energy consumption data in terms of primary energy supply to consider conversion loss in the energy sector to avoid any distortions in the intensity effect. The analysis covers every manufacturing subsector in Korea over the period between 2006 and 2018. Combining two distinctive approaches from the previous literature, the AR approach and primary energy-based analysis gives us helpful findings for a climate policy. First, the overall activity effect estimated from the physical output indicator is lower than that from the monetary output indicator. The monetary indicator shows that the share of energy-intensive industries decreases, whereas the physical indicator shows the opposite. Second, in terms of energy efficiency, the intensity effect is estimated as an increasing factor of energy use, whereas inversed results are shown when we use the monetary indicator. Lastly, unlike the previous studies, the AR approach results indicate that Korean manufacturing sectors have been shifting toward an energy-intensive, so it is hard to anticipate positive intensity effects, which means decreasing energy consumption factor, for a while. These results support why analyzing the driving forces of energy consumption through the AR approach and primary energy base is highly recommended.


2020 ◽  
Vol 244 ◽  
pp. 118551 ◽  
Author(s):  
Eric Alberto Ocampo Batlle ◽  
José Carlos Escobar Palacio ◽  
Electo Eduardo Silva Lora ◽  
Arnaldo Martín Martínez Reyes ◽  
Maurish Melian Moreno ◽  
...  

Author(s):  
Dan Comperchio ◽  
Sameer Behere

Data center cooling systems have long been burdened by high levels of redundancy requirements, resulting in inefficient system designs to satisfy a risk-adverse operating environment. As attitudes, technologies, and sustainability awareness change within the industry, data centers are beginning to realize higher levels of energy efficiency without sacrificing operational security. By exploiting the increased temperature and humidity tolerances of the information technology equipment (ITE), data center mechanical systems can leverage ambient conditions to operate in economization mode for increased times during the year. Economization provides one of the largest methodologies for data centers to reduce their energy consumption and carbon footprint. As outside air temperatures and conditions become more favorable for cooling the data center, mechanical cooling through vapor-compression cycles is reduced or entirely eliminated. One favorable method for utilizing low outside air temperatures without sacrificing indoor air quality is through deploying rotary heat wheels to transfer heat between the data center return air and outside air without introducing outside air into the white space. A metal corrugated wheel is rotated through two opposing airstreams with varying thermal gradients to provide a net cooling effect at significantly reduced electrical energy over traditional mechanical cooling topologies. To further extend the impacts of economization, data centers are also able to significantly raise operating temperatures beyond what is traditionally found in comfort cooling applications. The increase in the dry bulb temperature provided to the inlet of the information technology equipment, as well as an elevated temperature rise across the equipment significantly reduces the energy use within a data center.


2018 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Renan Barroso Soares ◽  
Ricardo Franci Gonçalves

<p><em>Traditional processes adopted in water supply and wastewater systems consume large amounts of energy and generate relevant environmental impacts, since energy use is considered one of the largest anthropogenic sources of greenhouse gases. The industry consumes 7% of all energy produced in the world, increasing the costs of operations that cannot be fully passed on to users, especially in developing countries such as Brazil. The worldwide projection of rising electricity prices further aggravates the situation, motivating a mapping of the energy efficiency of the sector in order to identify points of improvement. Several articles on the topic have already been published, but information for Brazil is scarce. This paper presents a review on the energy consumption in each stage of the water and wastewater sector, including the Brazilian scenario. Searches on the site www.sciencedirect.com, using as keywords wastewater, water, energy, consumption and Brazil and government websites resulted in 20 documents that compose this work. The objective of this work was to review the energy consumption in collective water supply and wastewater systems, from raw water abstraction to the final disposal of the treated sewage, by compiling information and adding data on the Brazilian scenario. In general, the current system is inefficient and require political integration in water and energy in order to overcome the challenges.</em></p>


Author(s):  
Pius Nimoh ◽  
Daniel Duah ◽  
Alexander Marful

All over the world energy is used for different purposes and hence its continuous high demand which has brought about an increase in crisis and prices of energy. Ghana has faced a lot of supply and high electricity consumption challenges over a period of time. The Energy Commission of Ghana has developed regulations and guidelines to help reduce high consumption challenges among users, these included the replacement of incandescent bulbs with fluorescent bulbs, ban of importation of low energy efficient appliances. In spite of the effort to reduce electricity wastage, there is still a high increase in electricity consumption. The research investigated what contributed to electricity consumption in Kwame Nkrumah University of Science and Technology with the lecture halls as the main focus, the research also analyzed the current occupant behavior characterized by the electrical energy consumption practices. And investigated how the contemporary theories for reducing energy consumption was used in the lecture halls. A questionnaire survey was conducted to investigate occupants on their energy use practices in lecture halls that causes wastages, observation was made to establish relevant data on the use of contemporary theories for energy reduction in lecture halls. In a total of 110 occupants that responded to the questionnaire, 79 occupants almost always turn off electrical fitting and fixtures when not in use. From the responses, a majority of the occupants claimed to comply to best practices of energy use. The research concluded that some contemporary theories to reduce energy consumptions was not used and considered in the lecture halls.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xunlin Jiang ◽  
Haifeng Ling ◽  
Jun Yan ◽  
Bo Li ◽  
Zhao Li

Accurate forecasting of electrical energy consumption of equipment maintenance plays an important role in maintenance decision making and helps greatly in sustainable energy use. The paper presents an approach for forecasting electrical energy consumption of equipment maintenance based on artificial neural network (ANN) and particle swarm optimization (PSO). A multilayer forward ANN is used for modeling relationships between the input variables and the expected electrical energy consumption, and a new adaptive PSO algorithm is proposed for optimizing the parameters of the ANN. Experimental results demonstrate that our approach provides much better accuracies than some other competitive methods on the test data.


Author(s):  
Harish Chandra Maganti ◽  
Yatish Manju ◽  
Naga Sai Dilip Kumar Akula

The main aim of this project is to study the Dynamic Behavior mainly focused on Environmental, Safety and Health benefits of different High-Speed Trains which are ETR500, ETR1000, ICE 3, Talgo 350, and TGVThalys with respect to their performance in the HighSpeed line of Madrid – Barcelona which has a speed limit of 300 km/hr. The main input parameters which are taken into consideration are Mass, Line Speed, Distance, Tractive Effort, Time, Speed, Energy Consumption, etc., Ratios of Mass/Passengers, Energy Consumption/Wheel, Etc. From this comparison, we get to know the performances of different type of high-speed trains in Madrid – Barcelona high-speed line and we can suggest the best one considering all Railway System factors considering all these factors. Railway Systems provide substantial benefits for the Energy-Consuming to the Environment. By using electrical Energy sources and more efficient mobility, Railway Transport can lower energy use and reduce CO2 and Pollutant Emissions.


2021 ◽  
Author(s):  
◽  
Kanyinda Kabuya

Improving energy use in a commercial building has become the subject of great importance in organizations worldwide. Improving energy usage refers to the efforts to reduce energy consumption. Reducing energy consumption in commercial buildings can be accomplished through continuous supervision using appropriate managerial techniques. Commercial companies are required to use energy more efficiently and participate in energy improvement. This study seeks to improve electrical energy consumption in commercial buildings by Analysing the electrical data consumption and identifying the factors that contribute to high consumption using Six Sigma DMAIC (Define-Measure- Analyse-Improve-Control) problem solving methodology. A case study was used to validate the DMAIC framework. Two years of electrical consumption data of a case study done from January 2018 to December 2019 was collected and analysed. The study revealed an average increment in energy consumption of 3.9 %. The outcomes using statistical Pareto chart showed that the boiler is the highest significant energy user in the building with 38.3% due; followed by the kitchen with 24.2 %, followed by DB A and lifts with 20,1 % and the rest with 17.37 %. After the campaign of DMAIC, there was a reduction of 6 % in boiler consumption which was 2.3 % reduction of total consumption of the month for the building. Therefore, the study successfully demonstrates how Six Sigma DMAIC methodology can be applied to improve electrical consumption in a commercial building and reduce its related costs.


Foristek ◽  
2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Duldes S. Lambey ◽  
Nurhani Amin ◽  
Yulius S. Pirade ◽  
Rudi Santoso

Audit of Electrical Energy at the Regional House of Representatives of the Tojo Una-Una District is a comprehensive method in examining energy use in a building to find the value of Energy Consumption Intensity (IKE) and Energy Saving Opportunities (PHE) that can be obtained to reduce energy waste so that the consumption of electrical energy is more effective and efficient. The audit of Electrical Energy is carried out according to SNI 03-6196-2000 concerning Energy audit procedures in buildings and the Regulation of the Minister of Energy and Mineral Resources of the Republic of Indonesia Number 13 of 2012 concerning Savings Electricity Consumption. The results of the evaluation of the Energy Consumption Intensity Calculation conducted at the Office of the Regional House of Representatives of Tojo Una-Una District known that there are 16 rooms with the criteria for the Energy Consumption Intensity (IKE) value, namely an office building with air conditioning has efficient enough 8 rooms, wasteful 3 rooms and based on office buildings without Air-conditioning is quite efficient in 3 rooms and wasteful in 2 rooms. The results of Energy Saving Opportunities (PHE) that have been identified by using air conditioning and energy-saving lamps, reducing hours of use without reducing the quality of service in the office can save electricity consumption of 2.339,5165 kWh/month or save electricity bill payments of IDR. 3.379.899,60/month.


2018 ◽  
Vol 11 (1) ◽  
pp. 99 ◽  
Author(s):  
Wei Sun ◽  
Yufei Hou ◽  
Lanjiang Guo

In the context of new industrialization, the energy problem being experienced by the manufacturing industry has aroused social concerns. This paper focuses on the energy use of 27 subindustries in China’s manufacturing industry and it develops an energy consumption index for 1994–2015. Subsequently, the method of grey relational analysis is used, with the full period divided according to years in which change points occur. The empirical analysis indicates that the energy consumption indexes generally exhibit a declining trend. Using the grey model (GM (1,1)) to forecast the index indicates a continued downward trend up to 2025 for energy-intensive industries, which is a more optimistic scenario than the trend forecast for the whole manufacturing sector. Thus, these energy-intensive industries do not drag down the performance of the whole manufacturing industry in regard to energy intensity. In future, more attention should be paid to energy-saving efforts by nontraditional high-energy-consuming industries. Although the results show that energy efficiency is improving in China, total annual consumption is rising rapidly. Therefore, the industry needs to continue to strengthen independent innovation and improve the efficiency of new energy use. The Chinese government should formulate feasible long-term plans to encourage enterprises to save energy.


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