Stay cool [power consumption saving]

2006 ◽  
Vol 1 (5) ◽  
pp. 42-46
Author(s):  
P. Klapproth ◽  
F. Pessolano

2017 ◽  
Vol 44 (7) ◽  
pp. 1116-1123 ◽  
Author(s):  
Cheng-Kai Liu ◽  
Ko-Ting Cheng


2017 ◽  
Vol 8 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Yas A. Alsultanny ◽  
Fatma M. Alnassar

Due to the advancement of information and communications technology, most of the businesses and services have transformed into an e-businesses and e-services. The organizations are facing a great deal of pressure from regulators to move toward green IT. The aim of this article is to evaluate the factors affecting on green IT readiness from the perspective of IT users, a questionnaire designed for this purpose. The questionnaire divided into two parts, the first part for demographics information, and the second part contains 34 statements divided into 6 factors. There are 460 respondents to the questionnaire. The results of the data analysis showed that the factors, technology and attitude have an agreed degree of agreement, while the practice, policy, governance, and green IT readiness have a neutral degree of agreement. The governance factor has the highest effect on green IT readiness. The article recommends the ministries of electricity must be increasing the awareness for green IT as part of their awareness for power consumption saving.



2014 ◽  
Vol 2014 ◽  
pp. 1-2
Author(s):  
Vincenzo Eramo ◽  
Xavier Hesselbach-Serra ◽  
Yan Luo


Author(s):  
Bowei Shan ◽  
Yong Fang

AbstractThis paper develops an arithmetic coding algorithm based on delta recurrent neural network for edge computing devices called DRAC. Our algorithm is implemented on a Xilinx Zynq 7000 Soc board. We evaluate DRAC with four datasets and compare it with the state-of-the-art compressor DeepZip. The experimental results show that DRAC outperforms DeepZip and achieves 5X speedup ratio and 20X power consumption saving.



Author(s):  
Piyanut Saengsikhiao ◽  
Juntakan Taweekun ◽  
Kittinan Maliwan ◽  
Somchai Sae-ung ◽  
Thanansak Theppaya

This research presents the improving energy efficiency by retrofitting doors for open refrigerated in central Thailand supermarkets that open in the daytime (06.00 am - 6:00 pm) and close in night-time (00.00 am – 6:00 am). The Materials and Methods were open refrigerated 15 cabinet and retrofitting doors for open refrigerated that 41 frames, 82 doors in medium temperature refrigeration system and measure power consumption kW, kWh by power meter data logger for analysis and summarize. The power consumption saving average per 7 days for retrofitting doors was 576 kWh/day, 39.67% that daytime 418 kWh/day, 41.93%, and night-time 116 kWh/day, 33.24%. Besides, the energy of day time more than night time because 1) The time of opening store is longer than closing store 2) In the night time, the refrigerated will close by plastic curtain 3) The request cooling load of day time is longer than day time 4) The sale area/ambient temperature of night time more than day time but the humidity was contrasted. Before retrofitting doors, the maximum and minimum of power consumption was 83.25 kw/hour and 44.73 kw/hour, respectively. Also, the power consumption swing at 38.52 kw/hour, 46.72%, and the maximum and minimum of power consumption after retrofitting doors was 33.15 kw/hour and 30.19 kw/hour, respectively. The power consumption swing at 2.96 kw/hour, 8.93%. In addition, the power consumption swing will after be retrofitting doors will less than before retrofitting doors by 1) The average cooling load will be the same as bolt conditions 2) The request cooling load of doors refrigerated will less than by product load, the swing of sale area temperature and humidity, customer behavior that effect power condition will have the low running operation. This research's investment was 21,694 €, while the payback period of this research was 14 months. Besides, within 1.1 years, that energy saving was 16,020 kWh/Month or 1,542 €/Month, 16,020 kWh/month or 192,220 kWh/Year or 18,503 €/Year.



2019 ◽  
pp. 1233-1243
Author(s):  
Yas A. Alsultanny ◽  
Fatma M. Alnassar

Due to the advancement of information and communications technology, most of the businesses and services have transformed into an e-businesses and e-services. The organizations are facing a great deal of pressure from regulators to move toward green IT. The aim of this article is to evaluate the factors affecting on green IT readiness from the perspective of IT users, a questionnaire designed for this purpose. The questionnaire divided into two parts, the first part for demographics information, and the second part contains 34 statements divided into 6 factors. There are 460 respondents to the questionnaire. The results of the data analysis showed that the factors, technology and attitude have an agreed degree of agreement, while the practice, policy, governance, and green IT readiness have a neutral degree of agreement. The governance factor has the highest effect on green IT readiness. The article recommends the ministries of electricity must be increasing the awareness for green IT as part of their awareness for power consumption saving.



2020 ◽  
Author(s):  
SMITA GAJANAN NAIK ◽  
Mohammad Hussain Kasim Rabinal

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...



2020 ◽  
Vol 64 (1-4) ◽  
pp. 165-172
Author(s):  
Dongge Deng ◽  
Mingzhi Zhu ◽  
Qiang Shu ◽  
Baoxu Wang ◽  
Fei Yang

It is necessary to develop a high homogeneous, low power consumption, high frequency and small-size shim coil for high precision and low-cost atomic spin gyroscope (ASG). To provide the shim coil, a multi-objective optimization design method is proposed. All structural parameters including the wire diameter are optimized. In addition to the homogeneity, the size of optimized coil, especially the axial position and winding number, is restricted to develop the small-size shim coil with low power consumption. The 0-1 linear programming is adopted in the optimal model to conveniently describe winding distributions. The branch and bound algorithm is used to solve this model. Theoretical optimization results show that the homogeneity of the optimized shim coil is several orders of magnitudes better than the same-size solenoid. A simulation experiment is also conducted. Experimental results show that optimization results are verified, and power consumption of the optimized coil is about half of the solenoid when providing the same uniform magnetic field. This indicates that the proposed optimal method is feasible to develop shim coil for ASG.



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