Dynamics Study of a Dynamic Balancing Linkage with Small Fluctuations in Load

2011 ◽  
Vol 86 ◽  
pp. 176-179
Author(s):  
Tao Ren ◽  
Wen Tao Qu ◽  
Wen Sun
Keyword(s):  
Energy Saving ◽  
Input Power ◽  
Dynamic Balancing ◽  
Lower Efficiency ◽  
Motor Efficiency ◽  
Actual Load ◽  
High System ◽  
System Energy ◽  
Dynamics Models ◽  
Linkage Model

The fluctuations of the net crank torque on crankshaft remain the main reasons of both higher motor input power and lower efficiency. The later results in high system energy cost. The paper presents a novel linkage model based on rocking-bar linkage. The linkage demonstrates a smaller fluctuation in net crank torque. Therefore the motor efficiency is improved and input power is reduced greatly. The new model enhances the system energy saving. By establishing the linkage dynamics models, analyses contrasting the effects of energy saving were performed under the actual load conditions.

scholarly journals Design of Indoor Temperature Monitoring and Energy Saving Control Technology Based on Wireless Sensor

2017 ◽  
Vol 13 (07) ◽  
pp. 100
Author(s):  
Yecong He ◽  
Min Tan
Keyword(s):  
Energy Saving ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Temperature Monitoring ◽  
Wireless Sensor ◽  
Control Technology ◽  
Indoor Temperature ◽  
Adaptive Clustering ◽  
System Energy ◽  
Energy Saving Control

<p><span style="font-family: 宋体;">Considering the indoor temperature monitoring and energy saving control technology, based on the traditional low energy adaptive clustering hierarchy (LEACH), a multi-hop clustering routing algorithm is proposed. By adding a threshold in LEACH, the algorithm makes the nodes with high residual energy and high nodes become cluster heads. The results show that the improved algorithm can effectively prolong the life cycle of wireless sensor networks. Based on above findings, it is concluded that the proposed algorithm can save the system energy and improve the network energy efficiency.</span></p>

Research on Agent-Based Energy Saving System of Civil

2013 ◽  
Vol 816-817 ◽  
pp. 1220-1224
Author(s):  
Shou Cai Ma
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Energy Saving ◽  
Decision Making Process ◽  
Agent Based ◽  
Adjustment Mechanism ◽  
Building Systems ◽  
System Components ◽  
System Energy ◽  
The City

This paper deeply analyzes the urban civil system, energy-saving decision-making mechanism, the system components and the related energy-saving anti-adjustment mechanism based on the proposed energy-saving urban civil system's basis. It also presents the classification decision-making and decision-making process for the civil on various components on building systems in decision-making energy-saving features on the system proposed civil heat, urban heating network and the energy saving civil monomer decision making. It also builds the decision support for the city civil agent-based energy-saving system, realizing the basic institutions of the agent to propose the energy-saving urban civil decision.

Study of a Fuzzy Decision Making Based Energy-Saving Controller for Marine Power System

2013 ◽  
Vol 303-306 ◽  
pp. 1267-1271
Author(s):  
Zhi Liang Wu ◽  
Yu Bin Yao ◽  
Dan Wang
Keyword(s):  
Power System ◽  
Energy Saving ◽  
Set Theory ◽  
Pid Control ◽  
Power Grid ◽  
Electric Energy ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Ship Building ◽  
System Energy

In order to realize energy-saving for marine power system, combining the fuzzy set theory with the traditional PID control technology, the marine power system energy-saving controller was designed, which control ship power grid frequency and voltage collaborative reduction within a certain scope and scale. As several prototypes testing, the application of the energy-saving controller, which control the ship power grid frequency from 60Hz dropping to 57Hz, and the voltage from 450V collaborative falling to 425.5V, and meet the Ship Building Standard, can save 9.85% of electric energy and 9.53% of fuel.

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

2013 ◽  
Vol 291-294 ◽  
pp. 636-641
Author(s):  
Jian Lin Li ◽  
Xiong Xiong ◽  
Shui Li Yang
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Emission Reduction ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
System Capacity ◽  
Benefit Evaluation ◽  
System Energy ◽  
Nested Genetic Algorithm

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

Study on the Economic Model of the Household Wind Turbine and Grid Joint Power Supply System

2011 ◽  
Vol 347-353 ◽  
pp. 2386-2389
Author(s):  
Shao Nong Wang ◽  
Yong Guang Li ◽  
Zhen Wu Wu
Keyword(s):  
Economic Development ◽  
Wind Speed ◽  
Wind Turbine ◽  
Energy Saving ◽  
Power Supply ◽  
Economic Model ◽  
Power Supply System ◽  
Supply System ◽  
Joint Power ◽  
System Energy

This paper introduces the household wind turbine and grid joint power supply system, indicates the outstanding advantages of the system: energy saving, environmental protection, security and so on. And the economic model is established, based on the wind speed information of Shanghai, to analyze the economic development potential.

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