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1

Chernyshov, N. G., and S. I. Dvoretsky. "Synthesis of Energy-Saving Control." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 21, no. 1 (2015): 007–15. http://dx.doi.org/10.17277/vestnik.2015.01.pp.007-015.

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2

Yasuda, Hiromi. "Energy Saving Lighting Control System." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 82, no. 7 (1998): 455–56. http://dx.doi.org/10.2150/jieij1980.82.7_455.

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3

BRUN, Xavier, Daniel THOMASSET, and Serge SCAVARDA. "CONTROL DESIGN FOR ENERGY SAVING." Proceedings of the JFPS International Symposium on Fluid Power 2002, no. 5-2 (2002): 379–82. http://dx.doi.org/10.5739/isfp.2002.379.

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4

Matsuda, Kunihiro, Motoyoshi Sugita, Shyuichi Miyazaki, and Kenichi Kawamoto. "Energy Saving. Energy Saving by Invertor Control of Vaccum Pumps for Papermachines." JAPAN TAPPI JOURNAL 50, no. 8 (1996): 1148–52. http://dx.doi.org/10.2524/jtappij.50.1148.

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5

Erbe, Heinz-Hermann. "THE RELEVANCE OF ENERGY SAVING CONTROL." IFAC Proceedings Volumes 39, no. 19 (2006): 1–5. http://dx.doi.org/10.3182/20061002-4-bg-4905.00002.

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6

NIKOLOVA, N., and E. NIKOLOV. "ENERGY SAVING ALGORITHMS AND CONTROL SYSTEM." IFAC Proceedings Volumes 39, no. 19 (2006): 141–46. http://dx.doi.org/10.3182/20061002-4-bg-4905.00024.

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7

Wang, Jin, Xin Lin Li, and Shu Sheng Li. "Energy Saving Program that Replaces Water Chiller with Combined Air-Energy Saving System and Water-Energy Saving System." Advanced Materials Research 171-172 (December 2010): 201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.201.

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Анотація:
In spring, autumn and winter, centralized air conditioning system frequently produces excessive cooling, if we use both air-energy saving system and water-energy saving system for directly cooling, replacing the chiller cooling, we can achieve the objective of energy saving. This paper introduces the air and water-energy saving system operation strategies to determine the operation control methods of different seasons. Through case analysis, it shows that this design is feasible. The system is stable and easy to control and management. It has obvious effect of energy-saving. If the air-energy saving system and water-energy saving system mode is adopted, the add-on investment of equipment can be recovered within one year, with a better economic benefits.
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8

Zhang, Min Gyu, Guang Hua Wu, and Feng Liu. "Strategy of Intelligent Energy-Saving Optimization Control and Energy Consumption Analysis on Regulator Control System of Closed Greenhouse." Applied Mechanics and Materials 666 (October 2014): 184–87. http://dx.doi.org/10.4028/www.scientific.net/amm.666.184.

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Adopting the integrated TOPSIS intelligent energy optimization control strategy, and compared to conventional single control strategy on energy consumption of greenhouse equipment under closed condition, this paper arrives at the best energy saving optimization control strategy with comprehensive benefits. The result shows that, integrated intelligent optimizing control was obviously more energy saving compared to those did not take optimization control. Specific results as follows: TOPSIS integration strategy with energy saving of 725.39kwh, energy-saving rate of 44.19%.This shows that the proposed integrated intelligent energy optimization control strategy and energy saving effect is remarkable.
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9

Lu, Jun, Xin Wu, Yang Yan, and Xiao Yun Zhang. "Model Simulation of Power Saving and Heat Saving in Intelligent Building Energy Saving Design." Applied Mechanics and Materials 716-717 (December 2014): 470–73. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.470.

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The power saving and energy-saving control plays a crucial role in green building design. An intelligent electricity and heat saving control method is proposed based on PID control optimization control, this algorithm is applied in the design of green building, the collection of data is taken with feedback processing, the design method of energy saving and heat savingcontrol unit is presented in intelligent building, it provides the accurate basis for energy-saving and heat saving cycle control optimization design. The application of energy circulation control in design of green buildings is realized. The four layers real building is taken as the subjects in the experiment, the experimental results show that, the controller is applied in energy saving control of green building, it can effectively improve the control accuracy.
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10

Han, Hui Xian, Mao Fu Liu, and Xian Li Cao. "Research of Electronic Energy Saving Control Technology in Construction Machinery." Advanced Materials Research 443-444 (January 2012): 272–76. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.272.

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This paper analyzed the typical power process of construction machinery, led to the idea of energy saving and the concept of generalized energy saving, put forward energy saving control system of construction machinery according to the present two typical control technologies of construction machinery. In the quantitative analysis of energy saving effect, aiming to the shortcomings of the current energy saving technology difficult to quantify, the paper puts forward a formula of the global energy saving target, explains comparison and evaluation methods of energy saving effect, and gives the concrete realization modes of the global energy saving and generalized energy saving: full electronic control technology and distributed control technology. Finally the paper prospects the future development trend of energy saving technology in construction machinery.
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11

Sono, Hiroyuki. "Energy Saving. Power Saving by Revolution Control at a Manufacturing Process." JAPAN TAPPI JOURNAL 50, no. 8 (1996): 1133–37. http://dx.doi.org/10.2524/jtappij.50.1133.

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12

Andreev, Sergey, Vladimir Zaginaylov, and Andris Matveev. "Energy-saving irrigation management." MATEC Web of Conferences 245 (2018): 06014. http://dx.doi.org/10.1051/matecconf/201824506014.

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A significant part of the water resources used in agricultural production comes for irrigation. Due to the strong dependence of soil moisture on weather factors, the irrigation process must be carefully managed. To date, irrigation management is mainly carried out either as a function of soil moisture or according to a predetermined program. The article shows that both methods of management are imperfect since they can lead to a violation of agrotechnical requirements and waste of water. In order to improve the quality of irrigation and eliminate overspending of water resources, it was proposed to manage the water in a combined way. In this case, the formation of the control action occurs according to the results of the comparison of the controlled variable and disturbing influences with the reference values. The controlled value is the soil moisture, and as disturbing influences are considered the temperature and humidity of the air, atmospheric pressure, wind speed, precipitation. In addition, the proposed irrigation management method takes into account the forecast of the synoptic services on precipitation, their intensity and duration. To obtain information on the controlled value, as well as on disturbing influences, appropriate measuring devices are used, and information on the prediction of precipitation is delivered from a specialized server via the Internet. Before starting to use the control method, the agrotechnical requirements, the type, age and vegetation period of the plants are determined and set. The inclusion of irrigation equipment is carried out in accordance with the program and shut down - depending on the magnitude of the control signal.
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13

Artemova, S. V., A. A. Artemov, N. G. Chernyshov, and M. A. Kamenskaya. "INTELLIGENT ENERGY-SAVING INDUCTION MOTOR CONTROL SYSTEM." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 25, no. 3 (2019): 374–80. http://dx.doi.org/10.17277/vestnik.2019.03.pp.374-380.

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14

Treado, Stephen, and Yan Chen. "Saving Building Energy through Advanced Control Strategies." Energies 6, no. 9 (September 10, 2013): 4769–85. http://dx.doi.org/10.3390/en6094769.

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15

HE, Chun-shan. "Energy-saving control of parallel computer cluster." Journal of Computer Applications 31, no. 6 (June 13, 2012): 1716–18. http://dx.doi.org/10.3724/sp.j.1087.2011.01716.

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16

Liang, Guo Zhuang, Meng Zhang, and Shan Shan Jiang. "Energy-Saving Control System for AC Motors." Advanced Materials Research 765-767 (September 2013): 1988–91. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1988.

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Анотація:
When AC motor is operated in the light load or no-load, the power factor of AC motor is relatively low, so frequency converter is adapted to motor for energy-saving control, and the system increase the tracking function of the load on the basis of all the features of the conventional inverter. And it is able to real-time monitor to load changes of the motor through the microcontroller, online adjust the input power of the motor, so that the motor output power to match load, ensure that the energy consumption of the motor is reduced to a minimum extent in the entire load range.
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17

Tantau, Hans-Juergen. "Energy saving potential of greenhouse climate control." Mathematics and Computers in Simulation 48, no. 1 (November 1998): 93–101. http://dx.doi.org/10.1016/s0378-4754(98)00145-1.

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18

Tantau, Hans-Juergen. "Energy Saving Potential of Greenhouse Climate Control." IFAC Proceedings Volumes 30, no. 5 (May 1997): 245–51. http://dx.doi.org/10.1016/s1474-6670(17)44440-5.

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19

Dementyev, Yuri N., Kirill N. Negodin, Min Tu Aung, and Viktor I. Susdorf. "Energy Saving Control of Series Excitation Motor." MATEC Web of Conferences 91 (December 20, 2016): 01045. http://dx.doi.org/10.1051/matecconf/20179101045.

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20

SAWADA, Kohei, Naoki UCHIYAMA, Koji ADACHI, Toshiyuki MIYASHITA, and Takahiro YONEZAWA. "156 Energy Saving Control for Robotic Systems." Proceedings of Conference of Tokai Branch 2011.60 (2011): _156–1_—_156–2_. http://dx.doi.org/10.1299/jsmetokai.2011.60._156-1_.

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21

Rezchikov, A. F. "Control of energy saving at industrial enterprises." Journal of Computer and Systems Sciences International 49, no. 5 (October 2010): 791–801. http://dx.doi.org/10.1134/s1064230710050138.

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22

Liu, Song, and Bin Yao. "Coordinate Control of Energy Saving Programmable Valves." IEEE Transactions on Control Systems Technology 16, no. 1 (January 2008): 34–45. http://dx.doi.org/10.1109/tcst.2007.903073.

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23

Lee, Yunseong, Seohyeon Jeong, Woongsoo Na, Laihyuk Park, and Sung-rae Cho. "Energy-Saving Facility Control and Management Networks." Journal of Korean Institute of Communications and Information Sciences 42, no. 4 (April 30, 2017): 791–97. http://dx.doi.org/10.7840/kics.2017.42.4.791.

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24

Lei, De Bao, Zhong Hua Tang, and Kai Zhao. "The Central Air-Conditioning Energy-Saving Control Technology." Advanced Materials Research 250-253 (May 2011): 2695–99. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2695.

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Анотація:
With the application of the central air conditioning system widely, it has increased fast the consumption of national energy. This paper analyzes how to control a central air-conditioning system for energy saving, mainly including control characteristics , automatic control component and the control approaches of energy saving. Energy-saving approaches consist of indoor state parameter selection control, variable-speed pump control,variable air volume system control, Storage cold control and control Optimization.
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25

Wang, Hong. "Energy Saving Techniques: An Introduction." Measurement and Control 43, no. 7 (September 2010): 202. http://dx.doi.org/10.1177/002029401004300702.

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26

Lu, Jian Qiang, Xiang Jun Zou, and Dao Zong Sun. "Smart Home Energy Saving Switch Controller." Advanced Materials Research 490-495 (March 2012): 2578–82. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.2578.

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Анотація:
With advances in technology, intelligent energy saving control technology in the life and production are widely used. The system control module by the MCU, LCD display module, real-time clock module, the keyboard module, infrared receiver module, Darlington driver module and relay switch modules, sockets can not solve the traditional switch and remote control automatic operation, allowing families to use power safer, more energy efficient.
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27

Liu, Wen Lai. "Design of Energy-Saving Control Software Algorithms in Large Industrial Network." Applied Mechanics and Materials 644-650 (September 2014): 828–31. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.828.

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Анотація:
In the operation process of large industrial control network, with conventional fuzzy PID control algorithm for industrial control networks energy-saving control, excessive industrial networks will aggravate machine wear of the single network, thereby reduce the effect of energy-saving for industrial network. This paper presents an approach for industrial network energy-saving control based on non-uniform data production rate. According to the relationship between the network load and loss, the loss model of industrial control network can be established. Adaptive linear genetic method is utilized to control industrial control network energy-saving load, so as to achieve energy-saving control of industrial control network. Experimental results show that the algorithm can effectively improve the energy-saving efficiency of industrial control network, and achieve satisfactory results.
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28

Yang, Jian Bo, Rong Wang, and De Qian Wei. "Research on Control Network of LED Public Lighting and Integration Technology of Managerment and Control." Applied Mechanics and Materials 99-100 (September 2011): 1335–40. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.1335.

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Анотація:
In this paper, a integrated control system based on the LonWorks fieldbus to the application of LED public lighting has developed. Advanced control strategy of lighting energy saving has realized in this integrated control system, in order to improve the effect of lighting energy saving and management level. The control network of LED lighting and the specific techniques of integrated control system are mainly focused, including data acquisition, development of lighting control node based on LonWorks, design of lighting control network, implementation of energy saving and management strategy, monitoring and data management of the lighting system. Finally, to verify energy saving effect of the control integrated system and its high efficiency, three campus’s roadway lighting of GuiLin university of electronic technology is taken as the simulated object.
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29

Li, Qun. "Research on Control System of Energy-Saving Greenhouse." Applied Mechanics and Materials 448-453 (October 2013): 1312–15. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.1312.

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Анотація:
Energy-saving and environmental protection has become the theme of the 21st century. Greenhouse is an energy-intensive industries. Every year, 35% of energy consumption on agricultural production is used for greenhouse heating in the world, which accounts for 15-40% of the cost of greenhouse production. For improving energy efficiency and protecting the environment, the reasonable control of greenhouse environmental parameters is significant. The design of solar greenhouse real-time environment monitoring and automatic control system is based on 8051 single-chip in the thesis. The temperature and humidity signal are obtained from DS18B20 digital temperature sensor and IH3605 humidity sensor. When the greenhouse temperature exceeds the set temperature, the device can be started by perform timely processing, then the user can read LED digital display temperature and humidity values.
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30

Körner, O., and H. Challa. "ENERGY SAVING CLIMATE CONTROL REGIME FOR CUT CHRYSANTHEMUM." Acta Horticulturae, no. 633 (March 2004): 489–96. http://dx.doi.org/10.17660/actahortic.2004.633.61.

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31

Yi, Yao, Guang Jian Chen, and Jin Ling Jia. "Research on Energy-Saving Control Technology of Boiler." Advanced Materials Research 383-390 (November 2011): 2603–7. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2603.

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Анотація:
Focusing on energy-saving issues of boiler, this paper finds out the combustion conditions inside boiler furnace by monitoring and analysis on oxygen content of flue gas, carbon content of fly ash, CO and CO2 contents. The intelligent control of boiler combustion was achieved and combustion efficiency was rosen. Using neural network controlling model, automatic optimization of oxygen delivery volume,coal delivery volume, the total wind pressure of primary air, the secondary air-door opening degree and furnace negative pressure were achieved, and the boiler efficiency increasing by 5 ~ 7%.
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32

Ohsuga, Minoru, Masahiro Hashimoto, Yojiro Kadowaki, and Yoichiro Nishiyama. "Energy Saving Pump Control System with Micro-Computer." JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN 20, no. 2 (1985): 154–58. http://dx.doi.org/10.5988/jime1966.20.154.

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33

Su, Shuai, Tao Tang, and Clive Roberts. "A Cooperative Train Control Model for Energy Saving." IEEE Transactions on Intelligent Transportation Systems 16, no. 2 (April 2015): 622–31. http://dx.doi.org/10.1109/tits.2014.2334061.

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34

Obika, Masanobu, and Toru Yamamoto. "Energy-saving inferential control system for industrial furnace." IEEJ Transactions on Electronics, Information and Systems 138, no. 5 (May 1, 2018): 480–85. http://dx.doi.org/10.1541/ieejeiss.138.480.

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35

ELMASHAD, Y., and S. AYAD. "THE CONTRIBUTION OF AUTOMATIC CONTROL TO ENERGY SAVING." International Conference on Aerospace Sciences and Aviation Technology 2, CONFERENCE (April 1, 1987): 1–8. http://dx.doi.org/10.21608/asat.1987.26183.

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36

Kamezawa, Kazumasa. "Insect Control and Energy Saving by Light Effects." JAPAN TAPPI JOURNAL 63, no. 6 (2009): 685–88. http://dx.doi.org/10.2524/jtappij.63.685.

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37

Kamezawa, Kazumasa. "Insect Control and Energy Saving by Light Effects." JAPAN TAPPI JOURNAL 64, no. 8 (2010): 920–24. http://dx.doi.org/10.2524/jtappij.64.920.

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38

MURAI, Masahiko. "Energy Saving Control Technologies for Factories and Buildings." Journal of the Society of Mechanical Engineers 112, no. 1085 (2009): 302–4. http://dx.doi.org/10.1299/jsmemag.112.1085_302.

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39

Ramírez, Tanausú, Alex Pajuelo, Oliverio J. Santana, and Mateo Valero. "Energy saving through a simple load control mechanism." ACM SIGARCH Computer Architecture News 35, no. 4 (September 2007): 29–36. http://dx.doi.org/10.1145/1327312.1327318.

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40

Ashryatov, A. A., V. G. Kulikov, and A. V. Panteleyev. "Energy saving control system development for external lighting." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1601. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1601-1606.

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Анотація:
<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>
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41

Obika, Masanobu, and Toru Yamamoto. "Energy-saving inferential control of an industrial furnace." Electronics and Communications in Japan 101, no. 9 (July 20, 2018): 42–47. http://dx.doi.org/10.1002/ecj.12108.

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42

Su, Yuanping, Lihong Xu, and Erik D. Goodman. "Greenhouse climate fuzzy adaptive control considering energy saving." International Journal of Control, Automation and Systems 15, no. 4 (June 27, 2017): 1936–48. http://dx.doi.org/10.1007/s12555-016-0220-6.

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43

Wu, Yu Chi, Meng Jen Chen, Hsien Min Liao, Bo Huei Yang, and Jing Yuan Lin. "Standby-Energy-Saving Socket." Applied Mechanics and Materials 563 (May 2014): 356–61. http://dx.doi.org/10.4028/www.scientific.net/amm.563.356.

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Анотація:
Most home electric appliances have standby energy waste when they are at idle mode. This standby energy is about 3% to 11% of total household electricity consumption. For several millions of households in Taiwan, this standby energy would cause billion dollars of waste per year. Therefore, in this paper we propose a standby-energy-saving socket using a microcontroller unit (MCU) to reduce the standby-energy waste. The user can start up this standby-energy-saving socket to supply power to appliances through the appliances infrared remote control or the button on the socket. When the appliances enter into the standby mode, the current sensor in the socket automatically detects it and the MCU turns off the power through a relay to reduce the standby power to zero. Based on the test, the MCU in the proposed standby-energy-saving socket only consumes about 3 mW when the socket is at sleep mode, 6 mW at working mode. The cost of this proposed socket is $9. The standby-energy saving tested on a PC is reduced by 99.93%.
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44

Lu, Guangqiang, Mitsunori Uemura, Yuichiro Fujita, Sadao Kawamura, and Shugen Ma. "2A1-G03 Experiments on Energy Saving Control Methods for Multi-Joint Robots with Elastic Elements." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _2A1—G03_1—_2A1—G03_4. http://dx.doi.org/10.1299/jsmermd.2009._2a1-g03_1.

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45

Li, Dongmei. "Analysis on the monitoring system of energy conservation and comfort in office buildings based on internet of things." International Journal of Low-Carbon Technologies 15, no. 3 (February 17, 2020): 351–55. http://dx.doi.org/10.1093/ijlct/ctz083.

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Анотація:
Abstract In order to reduce the cost of central air conditioning, we need to reduce its energy consumption. This paper briefly introduced Internet of Things and the energy-saving and comfort monitoring system of central air conditioning based on the Internet of Things. The system took comfort degree as constraint and energy efficiency as objective to control energy saving of central air conditioning. Company X in Guanghan, Sichuan, China, was taken as an example for analysis. The system was compared with the energy-saving control system which took temperature and power as constraints. Compared with before the energy-saving control, the proportion of air conditioning downtime in the working hours of employees increased after the implementation of the two kinds of energy-saving control systems, and the proportion of downtime under the energy-saving control system designed in this study was larger; in addition, after the control of the two kinds of energy-saving systems, the energy efficiency of the air conditioning significantly improved, and the air conditioning under the control of the energy-saving system proposed in this study had more improvement in energy efficiency and higher energy-saving efficiency. The energy-saving control method proposed in this study can effectively reduce the power consumption of the central air conditioning in the office.
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46

Fan, Rui Xiang, Wei Xia, and Bin Liu. "Simulation on the Energy Saving Control Model of Large-Scale Power Control." Applied Mechanics and Materials 602-605 (August 2014): 1190–93. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1190.

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Анотація:
During the large transformers operation, the proportion of the non-essential energy consumption is higher. In order to reduce the energy consumption in power control process, a new design method of energy-saving control in large-scale power control process based on adaptive linear genetic algorithms. Loss model of power control is established firstly. Based on the relevant data of the model, energy-saving control in large-scale power control process can be achieved. Experimental results show that the improved algorithm can effectively reduce the energy consumption in large-scale power control system, and meet the actual demand of power control.
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47

Ding, Yu Xian, Ning Bo Ma, and Yu Xin Ding. "Studies on Energy-saving Control of the Whole Process of Construction Project." Advanced Materials Research 724-725 (August 2013): 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amr.724-725.1685.

Повний текст джерела
Анотація:
As buildings consume large amounts of energy and thus our environment is damaged considerably, energy-saving buildings turn out to be a focused issue. As a result, reasonable approaches and methods are required to be applied to build energy-saving buildings. Moreover, the whole process of construction project must be controlled in an energy-saving way so as to maximize various benefits, thus bringing energy-saving buildings into reality.
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48

Liu, Li Min. "A SoC Controller for Energy Saving and Environmental Protection." Advanced Materials Research 908 (March 2014): 477–80. http://dx.doi.org/10.4028/www.scientific.net/amr.908.477.

Повний текст джерела
Анотація:
The energy saving is helpful to decrease industrial emission and environment pollution. An energy saving control based on intelligent technology is a new direction of automation. An intelligent control is composed of algorithm, software and hardware. SoC is one of the most advanced hardware. SoC may get some new progress for energy saving control. In this paper, energy saving, intelligent systems and some SoC controller are discussed. The SoC controller may be more efficient for industrial automation and energy saving.
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49

Chen, Jian Hua, Xi Hui Mu, Feng Po Du, and Kai Lv. "Study on Energy Saving PID Control of HST Tele-Control Vehicle." Advanced Materials Research 850-851 (December 2013): 636–39. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.636.

Повний текст джерела
Анотація:
Based on the analysis of power matching between diesel engine and HST, a simulation model was built by AMEsim. By using of simulation, the result of speed characteristic in closed loop feedback system was analyzed. The results show that power matching and joint control between diesel engine and HST is an effective way to improve the vehicles matching identity and ensure its working point in the economic region.
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50

Zhang, Yun Long. "Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device." Advanced Materials Research 986-987 (July 2014): 1236–39. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1236.

Повний текст джерела
Анотація:
In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.
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