The Empirical Research of Energy Utilization Efficiency in Industrial Sectors Based on DEA-Malmquist

2012 ◽  
Vol 463-464 ◽  
pp. 1025-1029
Author(s):  
Ming Xiang Lu ◽  
Guang Wen Ma ◽  
Yan Long Hu ◽  
Jing Wang
Keyword(s):  
Energy Consumption ◽  
Technical Efficiency ◽  
Energy Production ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Regional Research ◽  
Industrial Sectors ◽  
Production And Consumption ◽  
Consumption Energy ◽  
Reducing Energy

This study selected Sichuan Province of China's energy production and consumption province as the regional research object. It studied energy utilization efficiency in industrial sectors from output of energy consumption, energy utilization technical efficiency, pure technical efficiency, and change index of energy utilization efficiency by the data of energy consumption and GDP. The output of energy consumption and energy utilization efficiency were big difference in industrial sectors. It provided the basis of taking different measures according to the different characteristic in industrial sectors while reducing energy consumption and energy conservation

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

scholarly journals Respiration, Rather Than Photosynthesis, Determines Rice Yield Loss Under Moderate High-Temperature Conditions

2021 ◽  
Vol 12 ◽  
Author(s):  
Guangyan Li ◽  
Tingting Chen ◽  
Baohua Feng ◽  
Shaobing Peng ◽  
Longxing Tao ◽  
...  
Keyword(s):  
High Temperature ◽  
Energy Production ◽  
Production Efficiency ◽  
Rice Yield ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Yield Losses ◽  
Maintenance Respiration ◽  
Efficient System ◽  
Temperature Conditions

Photosynthesis is an important biophysical and biochemical reaction that provides food and oxygen to maintain aerobic life on earth. Recently, increasing photosynthesis has been revisited as an approach for reducing rice yield losses caused by high temperatures. We found that moderate high temperature causes less damage to photosynthesis but significantly increases respiration. In this case, the energy production efficiency is enhanced, but most of this energy is allocated to maintenance respiration, resulting in an overall decrease in the energy utilization efficiency. In this perspective, respiration, rather than photosynthesis, may be the primary contributor to yield losses in a high-temperature climate. Indeed, the dry matter weight and yield could be enhanced if the energy was mainly allocated to the growth respiration. Therefore, we proposed that engineering smart rice cultivars with a highly efficient system of energy production, allocation, and utilization could effectively solve the world food crisis under high-temperature conditions.

Simulation and Analysis of Cryogenic Air Separation Process with LNG Cold Energy Utilization

2014 ◽  
Vol 881-883 ◽  
pp. 653-658 ◽  
Author(s):  
Yong Qiang Xiong ◽  
Ben Hua
Keyword(s):  
Energy Consumption ◽  
Liquid Nitrogen ◽  
Electric Energy ◽  
Separation Process ◽  
Air Separation ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Pure Oxygen ◽  
Pure Nitrogen ◽  
Cold Energy

In this paper, a cryogenic air separation process with LNG cold energy utilization is proposed to produce liquid nitrogen and high pressure pure oxygen gas economically. To reduce the electric energy consumption of air separation products, liquid nitrogen have been produced by condensing the separated pure nitrogen gas with LNG cold energy utilization, and the recycled nitrogen is served to transfer cold energy from LNG stream to cool off air stream in the proposed cryogenic air separation process. The specifications of streams and the major equipments of the air separation process are simulated with Aspen Plus software and the main parameters analysis are performed. The results show that the energy consumption of the proposed air separation process with LNG cold energy utilization decreased about 58.2% compared with a conventional cryogenic air separation process. The compressed pressure of recycled nitrogen has a big impact on the cost of air separation products and utilization efficiency of LNG cold energy. The LNG cold energy could be fully utilized when the recycled nitrogen has been compressed to above 6.5MPa.

Analysis of China’s Provincial Energy Efficiency Based on the Generalized DEA Method

2014 ◽  
Vol 953-954 ◽  
pp. 890-895
Author(s):  
Hui Min Li ◽  
Cun Bin Li ◽  
Zhan Xin Ma
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Rapid Economic Growth ◽  
Technology Changes ◽  
Dea Method ◽  
Save Energy ◽  
The Impact

In recent years, with the rapid economic growth, the demand on the amount of energy in China is increasing. So the problem of how to improve the energy utilization efficiency and save energy consumption has to be tackled. The traditional CCR model and BCC model used in the study of provincial energy efficiency do not take the impact of technological progress into consideration. Therefore, the paper uses the generalized DEA method to research the energy utilization efficiency of China’s 29 provinces, that is, to evaluate and analyze the energy utilization efficiency by selecting the capital stock, employment and total energy consumption of China’s provinces as input factors and GDP, per capital GDP as output factors, and then draw tables showing each province’s change of average annual overall efficiency and the pure technology changes, and finally analyze the regularities underlying these changes.

Optimization of Wind Farm Micro Sitting Based on Genetic Algorithm

2011 ◽  
Vol 347-353 ◽  
pp. 3545-3550 ◽  
Author(s):  
Chang Xu ◽  
Yan Yan ◽  
De You Liu ◽  
Yuan Zheng ◽  
Chen Qi Li
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Energy Production ◽  
Wind Farm ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Optimal Method ◽  
Successful Search ◽  
Increasing Trend ◽  
The Given

In order to increase wind energy utilization efficiency by the optimization of the wind farm micro sitting, a method which could calculate the wind farm velocity is proposed by consideration of multi turbines wake loss and superposition. Based on the given velocity data of a wind farm, the maximal annual energy production is set as the optimal objective and the ordinates of wind turbines would be the optimal variables, micro sittings of the wind farm turbines are optimized by genetic algorithm. Layout calculation result of the optimal method is quite similar to that of other successful search method, but higher efficiency is reached, and the micro sitting layout is agreement with the regular plum-type layout. Annual energy productions are also calculated under the condition of different wind turbine number. Results show annual energy production increases with the wind turbine number increased, but the increasing trend is lower and lower. The research could provide a reference to wind farm micro-sitting.

scholarly journals A Fast Neighbor Discovery Algorithm in WSNs

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3319 ◽  
Author(s):  
Liangxiong Wei ◽  
Weijie Sun ◽  
Haixiang Chen ◽  
Ping Yuan ◽  
Feng Yin ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Rapid Development ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Wireless Sensor ◽  
Neighbor Discovery ◽  
Low Duty Cycle ◽  
Discovery Algorithms

With the quick development of Internet of Things (IoT), one of its important supporting technologies, i.e., wireless sensor networks (WSNs), gets much more attention. Neighbor discovery is an indispensable procedure in WSNs. The existing deterministic neighbor discovery algorithms in WSNs ensure that successful discovery can be obtained within a given period of time, but the average discovery delay is long. It is difficult to meet the need for rapid discovery in mobile low duty cycle environments. In addition, with the rapid development of IoT, the node densities of many WSNs greatly increase. In such scenarios, existing neighbor discovery methods fail to satisfy the requirement in terms of discovery latency under the condition of the same energy consumption. This paper proposes a group-based fast neighbor discovery algorithm (GBFA) to address the issues. By carrying neighbor information in beacon packet, the node knows in advance some potential neighbors. It selects more energy efficient potential neighbors and proactively makes nodes wake up to verify whether these potential neighbors are true neighbors, thereby speeding up neighbor discovery, improving energy utilization efficiency and decreasing network communication load. The evaluation results indicate that, compared with other methods, GBFA decreases the average discovery latency up to 10 . 58 % at the same energy budget.

scholarly journals Double sink energy hole avoidance strategy for wireless sensor network

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Suxia Chen ◽  
Quanzheng Huang ◽  
Yang Zhang ◽  
Xin Li
Keyword(s):  
Energy Consumption ◽  
Main Idea ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Utilization Efficiency ◽  
Wireless Sensor ◽  
Cluster Radius ◽  
Energy Hole ◽  
Avoidance Strategy ◽  
Monitoring Area

Abstract To solve the energy hole problem in wireless sensor networks with double sinks, a double sink energy hole avoidance strategy is proposed. The main idea is that two data sinks are set at fixed positions on both sides of the rectangular network to collect nodes data in the corresponding area of the network. In the network, sensor nodes are organized in non-uniform clusters. Clusters close to sink have a smaller cluster radius, and clusters far from sink have a larger cluster radius. According to the results of threshold training, monitoring area of double sink is dynamically adjusted based on the difference of energy consumption and load of nodes in the double sink monitoring area, so that the energy consumption load of nodes in the double sink monitoring area tends to be the same, so as to avoid the premature occurrence of energy hole phenomenon in the area with large load, leading to network failure. The experimental results demonstrate that the strategy proposed in this paper can efficiently balance the energy dissipation of double sink and prolong the network energy utilization efficiency and network lifetime.

scholarly journals Optimizing Nitrogen Management in Food and Energy Production and Environmental Protection: Summary Statement from the Second International Nitrogen Conference

2001 ◽  
Vol 1 ◽  
pp. 1-9 ◽  
Author(s):  
Ellis Cowling ◽  
James Galloway ◽  
Cari Furiness ◽  
Mary Barber ◽  
Ton Bresser ◽  
...  
Keyword(s):  
Environmental Protection ◽  
Energy Production ◽  
Decision Makers ◽  
Social Scientists ◽  
Scientific Disciplines ◽  
Production And Consumption ◽  
Consumption Energy ◽  
Summary Statement ◽  
N Management ◽  
Second International

Human efforts to produce food and energy are changing the nitrogen (N) cycle of the Earth. Many of these changes are highly beneficial for humans, while others are detrimental to people and the environment. These changes transcend scientific disciplines, geographical boundaries, and political structures. They challenge the creative minds of natural and social scientists, economists, engineers, business leaders, and decision makers. The Second International Nitrogen Conference was designed to facilitate communications among all stakeholders in the “nitrogen community” of the world. The Conference participants’ goal in the years and decades ahead is to encourage every country to make optimal choices about N management in food production and consumption, energy production and use, and environmental protection. Scientific findings and recommendations for decision makers that emerged from the Conference are presented.

Energy Consumption Reduction in Serial Production Lines via Controlled Machine Startup

2011 ◽  
Author(s):  
Guorong Chen ◽  
Liang Zhang ◽  
Jorge Arinez ◽  
Stephan Biller
Keyword(s):  
Energy Consumption ◽  
Capital Investment ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Production Lines ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Serial Production Lines

Research efforts for energy consumption reduction in manufacturing systems have been centered at technology and process innovation. These projects, however, often involve major capital investment of new equipment and material. In this paper, we explore energy saving opportunities through improvement in factory floor operations. Specifically, in the framework of Bernoulli serial lines, we consider production systems with stripping operations. In such systems, the in-process buffers have to be depleted at the end of each shift to avoid quality deterioration during off-shift periods. Transient analysis of the systems are carried out and formulas to calculate the performance measures are derived. In addition, we investigate the effect of machine startup schedule on the system performances and develop optimal startup schedule which, as shown in the paper, can lead to significant improvement in energy utilization efficiency.

scholarly journals The Analysis of Total Amount of Energy Consumption and Structure in China

2021 ◽  
Vol 9 ◽  
pp. 83-89
Author(s):  
Liu Hua ◽  
Guan Ye-Qing
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Production And Consumption ◽  
The Future

This paper built up GM(1,1) models for energy production and consumption in China. Then predicted and analyzed total amount of energy production and consumption in China as well as the structure of energy. The study showed that GM(1,1) model can simulate and predict the trend of the total amount of energy consumption and the structure well. In the future, the structure of energy consumption will be optimized. The proportion of coal and oil will decrease and the proportion of gas and renewable energy sources will increase in order to fill the gap.

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