scholarly journals Developing electrical energy saving in State University of Malang

2019 ◽  
Vol 245 ◽  
pp. 012043
Author(s):  
S Sendari ◽  
H Elmunsyah ◽  
Muladi ◽  
A N Afandi
Keyword(s):  
Energy Saving ◽  
Electrical Energy ◽  
State University

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Home Environment ◽  
Smart Home ◽  
Electrical Energy ◽  
Smart Home Environment

Research on Energy-Saving Algorithms with Migration Energy Consumption in Heterogeneous Cloud Environment

2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Migration Energy ◽  
Live Migration ◽  
Large Scale Data ◽  
Heterogeneous Cloud

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).

scholarly journals Maximizing Energy Saving by Solar Power based Optimal Supply Side Management

2019 ◽  
Vol 8 (12) ◽  
pp. 388-395
Keyword(s):  
Solar Energy ◽  
Energy Saving ◽  
Electrical Energy ◽  
Current Control ◽  
Power Supplies ◽  
Control Scheme ◽  
Physical Output ◽  
And Control ◽  
Current Energy ◽  
A Current

Energy saving can be maximized by rectifying the intermediate conversion processes involved during the utilization of solar energy. The system eliminates the transformation of electrical form of solar energy into another form by directly utilizing its electrical energy in the management and control of power supplies obtained from renewable (solar) and conventional (mains) energy sources. A current control scheme is presented in which current delivered by solar supply is used to control the current in mains supply in such a way that both currents are inversely proportional to each other. Any increment in solar current opposes mains current in the same proportion and vice versa. A balanced common physical output is resulted from the electrical load supplied by each source separately. A natural variation in solar radiation is utilized to fluctuate the solar current which is further used to change the mains current. Energy saving is maximized in this supply management by the optimal utilization of solar energy.

scholarly journals Discussion of Building Electrical Lighting Energy-saving Design

2015 ◽  
Vol 4 (2) ◽  
pp. 4
Author(s):  
Shixiong Liu
Keyword(s):  
Energy Saving ◽  
Electrical Energy ◽  
Lighting Design ◽  
Design Analysis ◽  
Lighting Energy

This paper mainly for the construction of electrical energy-saving lighting design analysis, discussed the importance of building electrical lighting energy-saving design, and specifically describes how electrical energy-saving design, in order to provide reference for the construction of electrical energy-saving design.<p> </p>

Energy-Saving Analysis for Power System Reactive Power Compensation

2012 ◽  
Vol 608-609 ◽  
pp. 1151-1155 ◽  
Author(s):  
Xiao Hua Yuan ◽  
Xian Bin Dai
Keyword(s):  
Power System ◽  
Energy Saving ◽  
Transmission Lines ◽  
Reactive Power ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Electrical Energy ◽  
Reactive Power Compensation ◽  
Electric And Magnetic Fields ◽  
Shunt Capacitor

The alternator output power in the power system can be divided into active and reactive power. The active power (in kW) is that part of the electrical energy for doing work and heat loss, such as the conversion of mechanical energy, heat, light. The reactive power (in kVar) is that part of the electrical energy for the exchange of electric and magnetic fields in the circuit, such as transformers, motors, through the magnetic field can be passed to convert electrical energy; transmission lines in cable systems and a variety of load reactance (inductance and capacitance), and consumption of reactive power. With the rapid development of power system to study how to reduce energy loss in the power system is a very meaningful. In this paper, The Shizuishan plant desulfurization project as an example, illustrates the shunt capacitor reactive power compensation of the power system energy saving.

Experimental Study of Solid Dispersion in a Seeded Precipitation Tank with Slight Agitation for Gibbsite Crystallization

2013 ◽  
Vol 456 ◽  
pp. 537-540
Author(s):  
Yuan Fa Ding ◽  
Xiang Dong Su ◽  
Da Qiao Hu ◽  
Jian Kang Liu ◽  
Li He ◽  
...  
Keyword(s):  
Energy Saving ◽  
Solid Dispersion ◽  
Electrical Energy ◽  
Solid Content ◽  
Alumina Production ◽  
Seeded Precipitation ◽  
Tank Bottom ◽  
Seed Precipitation ◽  
Normal Work

In order to explore the energy saving measures in gibbsite crystallization process for alumina production by Bayer method, industrial experiment was carried out to investigate the solid dispersion in a slight agitation seed precipitation tank for gibbsite crystallization. The experimental results showed that little difference of solid concentration, only 48.19 g·l-1is found in the range from 5 meters depth to the tank bottom, which is the most zone of the tank, and there is a somewhat large difference in the top 5 meters zone near the surface that is about 149.66 g·l-1. Therefore, under the condition of slight agitation, solid content would not concentrate to the tank bottom completely with the normal work flow. It is suggested that the work of production would not be interrupted in less agitation than before, and the electrical energy saving rate is about 34%. The effects of reduced agitation on the yield and the quality of gibbsite crystallization should be studied carefully in subsequent works.

Electrical Energy Saving Based on Production Process Optimization for Steel Enterprise

2011 ◽  
Vol 383-390 ◽  
pp. 4475-4481
Author(s):  
Hai Nan Zhu ◽  
Jia Chuan Shi ◽  
Li Ping Liang
Keyword(s):  
Energy Saving ◽  
Reactive Power ◽  
Electrical Energy ◽  
Utilization Efficiency ◽  
Iron And Steel Industry ◽  
Production Plan ◽  
Electrical Load ◽  
Practical Application ◽  
Steel Rolling ◽  
Iron And Steel

The iron and steel industry annually consumes about 10% of electricity in China, while the utilization efficiency is relatively low. A two-step energy-saving method for steel enterprise is proposed in this paper. The production plan is regulated to minimize the energy utilized in steel rolling. The electrical load is forecasted according to the optimized steel-rolling plan and the reactive power is compensated to minimize the active power loss and voltage fluctuation. Practical application in Jigang Group Co., Ltd shows the efficiency of the proposed method.

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