scholarly journals Study the Trends in Energy Consumption Change for the Transport Service Sectors 

This research analyzes the energy consumption of transport service sectors in Vietnam and its changing trend in the past twenty-five years using Input-Output (IO) tables and Logarithmic-mean Divisia index (LMDI) method. IO table of 28 economic sectors in 1996, 2000, 2007, 2012 and 2018 is used to determine energy consumption, in which the transport service sector was always the third or second largest energy consumer, accounting for between 9% and 16% of total energy consumption. LMDI method is used to define influencing factors including transport activity, transport structure, transport intensity, and energy intensity. In these four impacts, the change of transport activity contributes the largest effect (occupied 74.3%), followed by the change of energy intensity (occupied 17.7%) of total increased share for energy consumption. Among the transport service sectors, it is found that Freight transport service by road played the mainstream role in the increasing trends of energy consumption in the period of 2007-2018. In order to improve the energy efficiency of the sector, investments in green transport technologies and modernization of trucks to be more efficient and eco-friendlier will be the key contributors.

In the world today, energy efficiency plays a key role in economic development of the countries. Over the period of 2013-2017 the energy intensity of economic entities in Ukraine decreased by 64.9 % or 0.0174 kgoe/UAH. However, its level is one of the highest in the world. The objective of this article is to reveal the main factors, which affect this tendency. In order to do this the decomposition analysis is used through the application of the Logarithmic Mean Divisia Index (LMDI-I) method. This paper uses both additive and multiplicative models to identify the impact degree, which the structure and energy intensity of economic sectors (namely industry, transport, service sector, agriculture and others) have on the overall energy intensity of economic entities. The results indicate that in the period under review the sectoral energy intensity factor has the greatest influence on the total energy intensity, whereas the impact of the economic structure is insignificant.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3775 ◽  
Author(s):  
Khaled Bawaneh ◽  
Farnaz Ghazi Nezami ◽  
Md. Rasheduzzaman ◽  
Brad Deken

Healthcare facilities in the United States account for 4.8% of the total area in the commercial sector and are responsible for 10.3% of total energy consumption in this sector. The number of healthcare facilities increased by 22% since 2003, leading to a 21% rise in energy consumption and an 8% reduction in energy intensity per unit of area (544.8 kWh/m2). This study provides an analytical overview of the end-use energy consumption data in healthcare systems for hospitals in the United States. The energy intensity of the U.S. hospitals ranges from 640.7 kWh/m2 in Zone 5 (very hot) to 781.1 kWh/m2 in Zone 1 (very cold), with an average of 738.5 kWh/m2. This is approximately 2.6 times higher than that of other commercial buildings. High energy intensity in the healthcare facilities, particularly in hospitals, along with energy costs and associated environmental concerns make energy analysis crucial for this type of facility. The proposed analysis shows that U.S. healthcare facilities have higher energy intensity than those of most other countries, especially the European ones. This necessitates the adoption of more energy-efficient approaches to the infrastructure and the management of healthcare facilities in the United States.


Author(s):  
Chibueze, E. Nnaji ◽  
Nnaji Moses ◽  
Jonathan N. Chimah ◽  
Monica C. Maduekwe

<div><p><em>This paper analysed the status of energy intensity of economic sectors (agriculture, industry, commercial, residential) in MINT (Mexico, Indonesia, Nigeria, Turkey) countries and its implications for sustainable development. We utilised descriptive statistics as well as the Logarithmic Mean Divisia Index (LMDI) decomposition analysis to examine energy and efficiency trends, from 1980-2013, in MINT countries. Empirical results indicate inefficient energy use in the residential and industrial sectors of Nigeria and Indonesia. The analysis  also indicates that income/output growth (activity effect) contributed to an increase in sectoral energy consumption of MINT countries. It also revealed that while structural effects contributed to a reduction in energy consumption in virtually all the sectors in Turkey and Mexico, it contributed to an increase in energy consumption of the residential, industrial and commercial sectors of Indonesia and Nigeria in virtually all the periods. These results suggest that a policy framework that emphasizes the utilization of energy efficient technologies especially electricity infrastructural development aimed at energy service availability, accessibility and affordability will help to trigger desirable economic development and ensure rapid sustainable development of MINT economies.</em></p></div>


2019 ◽  
Vol 118 ◽  
pp. 01020
Author(s):  
Qing Ding ◽  
Haihong Chen ◽  
Pengcheng Li ◽  
Meng Liu ◽  
Ling Lin

The significance of the principles and methods for building the standard system for “double control” was analyzed. A framework of standard system for “double control” was preliminarily built, comprising three subsystems of fundamental common, total energy consumption control and energy intensity control. The features and shortcomings of standards for “double control” was analyzed, as a reference for the continuous improvement of the standard system for “double control”, as well as the research and preparation of key standards in the future.


2019 ◽  
Vol 100 ◽  
pp. 00048
Author(s):  
Anna Lis ◽  
Nadiia Spodyniuk

Realization and exploitation of buildings involves in European Union about 40% of total energy consumption [1]. One of the elements of rationalization of energy consumption in buildings are the undertakings related with thermal modernization of buildings. The actions related with reducing the energy intensity of buildings are not always correlated with improvement of microclimate conditions in the rooms. Errors in the implementation of the energy efficiency program led to the phenomenon of sick building syndrome. The paper presents the results of the research conducted in a few educational buildings before and after thermal modernization. The research includes energy consumption for the heating of building and selected parameters of the interior microclimate. This analysis was carried out to evaluate the influence of energy saving activities on microclimate interior conditions. It was found that in many cases commonly used gravitational ventilation is not able to ensure the proper conditions of the interior microclimate, and the concentrations of carbon dioxide recorded in the tested rooms exceeded the applicable standards.


Author(s):  
Amanda D. Cuellar ◽  
Michael E. Webber

In this work we estimate the amount of energy required to produce the food consumed in the United States in 2002 and 2007. Data from government sources and the scientific literature were used to calculate the energy intensity of food production from agriculture, transportation, manufacturing, food sales, storage and preparation. Most data were from 2002; consequently we scaled all data from other years to 2002 by using ratios of total energy consumption in 2002 to total energy consumption in the year data were reported. We concluded that food production required at least 7,880±733 trillion BTU in 2002 and 8,080±752 trillion BTU of energy in 2007, over a third of which came from food handling in homes, restaurants and grocery stores. The energy used to produce food represents approximately 8% of energy consumption. Our estimate is for the energy required to produce the food consumed in the United States and takes into account food imports and exports. To account for net food exports in the agriculture sector we calculated values for the energy intensity of ten food categories and then used the mass of domestic food consumption in each category to calculate the energy embedded in the food consumed in the United States. The amount of energy required to produce the food consumed in the United States has policy implications because it is a substantial fraction of total energy consumption and is responsible for a commensurate amount of greenhouse gas emissions. There are many opportunities for decreasing the energy intensity of food production at all steps of the food system. Education of the public and policy measures that promote energy efficiency in the food sector have the potential for decreasing food waste and the energy intensity of the food system.


2012 ◽  
Vol 47 (3) ◽  
pp. 313-320
Author(s):  
S Khosruzzaman ◽  
MA Asgar ◽  
MA Asgar ◽  
KMR Rahman ◽  
S Akbar

In this paper Complete Decomposition Model is used to compute the future energy saving pattern from the difference of the 'trend' and 'real' values of energy consumption. The 'trend' is defined as a sum of activity effect and the energy use in the base year. The 'real' is defined as a sum of energy consumption in the base year and the change in energy consumption due to the activity effect, structural effect and intensity effect. This analysis is carried out in respect of Bangladesh for the period 2008-2030. The economic sectors that are taken in to account are agriculture, industry and service. The futuristic view shows that Bangladesh can save about 47.47 MTOE in agriculture sector and 34.96 MTOE from service sector. On the other hand, industry sector, which is accounted for 58% of the total energy consumption, failed to save energy, rather the country consumed 227 MTOE more energy than usual. The energy rebound effect that relies upon the activity effect and structural effect has also been estimated to examine the energy uses pattern of these sectors. The aggregate energy rebound effect was found to be 1480 MTOE, of which activity effect and structural effect contribute 91.21% and 8.78% respectively. DOI: http://dx.doi.org/10.3329/bjsir.v47i3.13066 Bangladesh J. Sci. Ind. Res. 47(3), 313-320 2012


Author(s):  
Tianxiang Lv ◽  
Xu Wu

In China, transportation accounts for a large proportion of total energy consumption and that trend is projected to increase in the future. Through the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, OLS regressions were conducted to investigate the impacts of gross domestic product (GDP), urbanization, energy intensity and transport structure on the transport energy consumption in China’s three regions. The analyses of inter-provincial panel data during the period 2006–2015 is compared to the analysis of the data from 1996 to 2005 to determine the change. There were two primary findings from this study. First, the changes of the influencing degree in three regions are considered. GDP is still the main driver of transport energy consumption in eastern region, while urbanization becomes the main driver in the other two regions. Second, the relationship between the elasticity and the value of each variable is detected. The elasticity of transport energy consumption with respect to GDP, transport structure, energy intensity and urbanization have separate positive and significant relationships. The primary measure is to optimize transport structure in the central region, while reducing energy intensity in the western region. Finally, we propose relevant policy recommendations for the three regions.


Author(s):  
Marcin Wysokiński ◽  
Paulina Trębska ◽  
Arkadiusz Gromada

The aim of this article is to assess the energy intensity of Polish agriculture with other sectors of the economy. The article also assesses the share of agriculture in final energy consumption in the European Union countries. The article uses secondary data from the Central Statistical Office and EUROSTAT. The energy intensity of agriculture in Poland is decreasing and will continue to decline as changes in the agrarian structure and intensification of production in family-owned commodities grow. Comparing the energy intensity of the economy in EU member countries, it is much higher in newly-admitted countries than in EU-15 countries.


2021 ◽  
Vol 4 (2) ◽  
pp. 178-200

This study is aimed to: (a) analyze changes in the economic structure of Java and Bali from 2010 to 2019, (b), understand to what extent the level of specialization of economic sectors in the Java and Bali Region that utilizes the base or the leading sector, and (c) understand on economic sectors that are growing progressively and have high competitiveness in the Java and Bali Regions. This study uses the LQ method and shift share analysis. Results show that the economy of Java-Bali from 2010 to 2019 did not experience much shift in the economic structure. In general, sectors that became the source of growth in 2010 in each province in Java-Bali remained the base sector/sources of growth in 2019. The shift share analysis shows that the Manufacturing sector in most provinces in Java-Bali is in quadrant III, which means that it grows slowly and its commodities lack of competitiveness. Meanwhile, the Communication and Information sector is mostly in quadrant II, which means this sector is growing progressively but lacks of competitiveness. Likewise with the Transportation and Warehousing sector, in most provinces this sector is able to grow progressively, but this sector lacks good competitiveness (quadrant II). On the other hand, the Service sectors in most provinces have grown progressively and have good competitiveness (quadrant I). The implication of this finding is the presence of symptoms of premature deindustrialization in Java-Bali, since the Services sector is growing faster, more progressive with a contribution to GDRP exceeds the Manufacturing sector, whereas the Manufacturing sector is not mature yet. Premature deindustrialization in Java-Bali has the potential to reduce job creation in the manufacturing sector and increase the risk of unemployment. Although the Service sector is growing progressively and competitively; However, if we look at the labor productivity, it appears that the labor productivity of the Service sector is much smaller than the labor productivity of the Manufacturing sector


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