A new vertical continuous vacuum pan (evaporating crystallizer) design

2020 ◽  
pp. 288-293
Author(s):  
A. Goyal ◽  
D. Kumar ◽  
D. Mishra ◽  
S. Awasthi
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Coefficient Of Variation ◽  
Variable Frequency ◽  
Low Grade ◽  
Reduce Power Consumption ◽  
Variable Frequency Drives ◽  
High Vapor ◽  
Continuous Vacuum ◽  
Vapor Space

Crystallization is a key section of sugar manufacture for controlling the sugar quality as well as energy consumption. In this paper, i-VCP, a new vertical continuous evaporating crystallizer (vacuum pan) design is described. Unlike some other VCPs, i-VCP has a partitioned shell in the top compartments especially for low-grade massecuites, which helps to keep coefficient of variation at 25–30% and about a vapor consumption of about 28 kg/100 kg massecuite. A high vapor space avoids entrainment and efficient mechanical circulators with variable frequency drives reduce power consumption. Flexibility to use different pressure vapors in different compartments and an inbuilt seed magma crystallizing compartment obviate the demand for a separate batch apparatus. One 100t/h capacity A massecuite i-VCP installed at Dalmia Bharat Sugar Ltd. (India) and one 25t/h capacity B or C massecuite i-VCP have completed their first season without any stoppages.

scholarly journals DYNAMIC VIRTUAL MACHINE MIGRATION USING RATIO-BASED METHOD

2020 ◽  
pp. 1-4
Author(s):  
Haresh Damjibhai Khachariya ◽  
Jayesh N. Zalavadia
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Power Consumption ◽  
Virtual Machines ◽  
Cloud Services ◽  
Virtual Machine Migration ◽  
Reduce Power Consumption ◽  
Efficient Resource ◽  
Cloud Datacenter ◽  
Save Energy

Cloud computing provides various services over the internet and its increasing day by day.Given the growing demands of cloud services, it requires a lot of computing resources to meet customer needs. So, the addition of energy consumption through cloud computing resources will increase day by day and become a key obstacle in the cloud environment.In cloud computing,data centers consume more energy and additionally release carbon dioxide into the atmosphere. To reduce energy consumption through the cloud datacenter, energy-efficient resource management is required. In this paper a specific technique for performing virtual machines through datacenter is given. Our goal is to reduce power consumption on the datacenter by reducing the host running in the cloud datacenter. To reduce power consumption, schedule the incoming task such a way that all the resources like ram,cpu(mips) and bandwidth utilize in equal weightage.Then after if any host is over utilized then migrate one or more vm from that host to another host as well as if any host is underutilize then migrate running vm of that host and switch off the under loaded host to save energy.

scholarly journals Improving power efficiency of underloaded pipelines with variable frequency drives

2020 ◽  
Vol 4 (1) ◽  
pp. 4-9
Author(s):  
Pavel A. Revel-Muroz ◽  
◽  
Georgy N. Matveev ◽  
Leonid M. Bekker ◽  
Konstantin Y. Shtukaturov ◽  
...  
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Power Efficiency ◽  
Electric Energy ◽  
Operating Conditions ◽  
Main Line ◽  
Variable Frequency ◽  
Variable Frequency Drive ◽  
Trunk Pipeline ◽  
Variable Frequency Drives

The paper considers the option to reduce power consumption in the operation of the underloaded trunk pipeline by engaging additional pump units with lower rotor r.p.m. control using variable frequency drive. Under these conditions, the operating point of the pumps (delivery rate, head) approaches to the rated output, thus increasing the efficiency of the pumps and decreasing the electricity power consumption for pumping operations. The paper presents comparative calculations of operating conditions for a section of the trunk pipeline with a specified pumping capacity of 35 million t/year (60 % of the design load) when one, two and three main line pumps with variable frequency drives are engaged. The power consumption for pumping is calculated using the dependence of the variable frequency drive and motor efficiencies on the electric motor load and rotational speed. Based on the results of calculations, the electric energy saving is determined when additional pumping units are engaged. The experience has shown that when the second main line pump was engaged, the electric energy saving for pumping was 3.7% compared to the condition with one pump running. However, if the third pump is engaged, the saving is only 1.9 % – the decrease is due to lower motor and variable frequency drive efficiencies in the underloaded condition.

A Proposal of Cyclic Sleep Control Technique for Backup Resources in ROADM Systems to Reduce Power Consumption of Photonic Network

2014 ◽  
Vol E97.B (12) ◽  
pp. 2698-2705
Author(s):  
Tomoyuki HINO ◽  
Hitoshi TAKESHITA ◽  
Kiyo ISHII ◽  
Junya KURUMIDA ◽  
Shu NAMIKI ◽  
...  
Keyword(s):  
Power Consumption ◽  
Control Technique ◽  
Reduce Power Consumption ◽  
Photonic Network ◽  
Sleep Control

scholarly journals Power and Performance Evaluation of Memory-Intensive Applications

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4089
Author(s):  
Kaiqiang Zhang ◽  
Dongyang Ou ◽  
Congfeng Jiang ◽  
Yeliang Qiu ◽  
Longchuan Yan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Consumption ◽  
Job Scheduling ◽  
Memory System ◽  
Processor Core ◽  
Memory Efficiency ◽  
And Performance ◽  
Reasonable Use ◽  
Server System

In terms of power and energy consumption, DRAMs play a key role in a modern server system as well as processors. Although power-aware scheduling is based on the proportion of energy between DRAM and other components, when running memory-intensive applications, the energy consumption of the whole server system will be significantly affected by the non-energy proportion of DRAM. Furthermore, modern servers usually use NUMA architecture to replace the original SMP architecture to increase its memory bandwidth. It is of great significance to study the energy efficiency of these two different memory architectures. Therefore, in order to explore the power consumption characteristics of servers under memory-intensive workload, this paper evaluates the power consumption and performance of memory-intensive applications in different generations of real rack servers. Through analysis, we find that: (1) Workload intensity and concurrent execution threads affects server power consumption, but a fully utilized memory system may not necessarily bring good energy efficiency indicators. (2) Even if the memory system is not fully utilized, the memory capacity of each processor core has a significant impact on application performance and server power consumption. (3) When running memory-intensive applications, memory utilization is not always a good indicator of server power consumption. (4) The reasonable use of the NUMA architecture will improve the memory energy efficiency significantly. The experimental results show that reasonable use of NUMA architecture can improve memory efficiency by 16% compared with SMP architecture, while unreasonable use of NUMA architecture reduces memory efficiency by 13%. The findings we present in this paper provide useful insights and guidance for system designers and data center operators to help them in energy-efficiency-aware job scheduling and energy conservation.

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