scholarly journals Benchmarking, Standard Setting and Energy Conservation of Olefin Plants in Iran

2021 ◽  
Vol 15 ◽  
pp. 7-14
Author(s):  
S. Gowharifar ◽  
B. Sepehrian ◽  
G. Nasiri ◽  
A. Khoshgard ◽  
M. Momenifar
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Cost Reduction ◽  
Process Integration ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
The World ◽  
Petrochemical Company

Olefin plants are one of the most energy intensive petrochemical plants in the world [1, 2]. In Iran more than 15% of petrochemical products are olefins and it will increase rapidly during next future, so improvement of energy efficiency in olefin plants is key element in NPC (Iranian National Petrochemical Company) plan for cost reduction and sustainable development. In this paper the energy consumption of existing olefin plants are compared with design condition and also world best technology. This comparison indicates the meaningful gap between operational and best condition. In this study the opportunities of energy saving in olefin plants are investigated using process integration tools and benchmarking. The result of this study indicates there is potential for energy consumption reduction up to 25% in Iranian olefin plants.

Energy and SLA Efficient Virtual Machine Placement in Cloud Environment Using Non-Dominated Sorting Genetic Algorithm

2021 ◽  
pp. 773-789
Author(s):  
Oshin Sharma ◽  
Hemraj Saini
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Data Centers ◽  
Virtual Machines ◽  
Cloud Environment ◽  
Vm Placement ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
The World ◽  
Placement Algorithm

To increase the availability of the resources and simultaneously to reduce the energy consumption of data centers by providing a good level of the service are one of the major challenges in the cloud environment. With the increasing data centers and their size around the world, the focus of the current research is to save the consumption of energy inside data centers. Thus, this article presents an energy-efficient VM placement algorithm for the mapping of virtual machines over physical machines. The idea of the mapping of virtual machines over physical machines is to lessen the count of physical machines used inside the data center. In the proposed algorithm, the problem of VM placement is formulated using a non-dominated sorting genetic algorithm based multi-objective optimization. The objectives are: optimization of the energy consumption, reduction of the level of SLA violation and the minimization of the migration count.

scholarly journals Energy Consumption Reduction of a Chiller Plant by Adding Evaporative Pads to Decrease Condensation Temperature

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2218
Author(s):  
Francisco J. Rey Martínez ◽  
Julio F. San José Alonso ◽  
Eloy Velasco Gómez ◽  
Ana Tejero González ◽  
Paula M Esquivias ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
High Energy ◽  
Condensation Temperature ◽  
Efficiency Ratio ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Load Characteristics ◽  
Installed Capacity

The high energy consumption of cooling systems justifies the need for strategies to increase the efficiency of the facilities, in order to reduce the related CO2 emissions. This study aims to improve the performance and reduce the energy consumption of an 8.6 MW air cooled chiller. This installed capacity is biased due to the screw compressors, of 2.98 Energy Efficiency Ratio (EER) at full load (characteristics provided by the manufacturer). The chiller unit has been modified by placing evaporating cooling pads before the condensing coils. The chiller has been monitored for three months, recording over 544,322 measurements (5 min-step data), with and without the evaporative cooling pads, to assess the performance. Data comparison has been done by selecting two days (with and without evaporative panels) with the same health care load and temperatures. Implementing the proposed strategy yields an improvement in the European Seasonal Energy Efficiency Ratio (ESEER) from 3.69 to 4.83, while the Total Equivalent Warming Impact (TEWI) decreases about 1000 tCO2. Energy savings of up to 32.6 MWh result into a payback period lower than 2 years.

scholarly journals Increasing Energy Efficiency and Productivity of the Comminution Process in Tumbling Mills by Indirect Measurements of Internal Dynamics—An Overview

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6735
Author(s):  
Mateusz Góralczyk ◽  
Pavlo Krot ◽  
Radosław Zimroz ◽  
Szymon Ogonowski
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimal Size ◽  
Internal Dynamics ◽  
Industrial Sectors ◽  
Energy Consumption Reduction ◽  
Comminution Process ◽  
Consumption Reduction ◽  
Tumbling Mills ◽  
And Control

Tumbling mills have been widely implemented in many industrial sectors for the grinding of bulk materials. They have been used for decades in the production of fines and in the final stages of ore comminution, where optimal levels for the enrichment particles’ sizes are obtained. Even though these ubiquitous machines of relatively simple construction have been subjected to extensive studies, the industry still struggles with very low energy efficiency of the comminution process. Moreover, obtaining an optimal size for the grinding product particles is crucial for the effectiveness of the following processes and waste production reduction. New, innovative processing methods and machines are being developed to tackle the problem; however, tumbling mills are still most commonly used in all ranges of the industry. Since heavy equipment retrofitting is the most costly approach, process optimization with dedicated models and control systems is the most preferable solution for energy consumption reduction. While the classic technological measurements in mineral processing are well adopted by the industry, nowadays research focuses on new methods of the mill’s internal dynamics analysis and control. This paper presents a retrospective overview of the existing models of internal load motion, an overview of the innovations in process control, and some recent research and industrial approaches from the energy consumption reduction point of view.

Study on Energy-Consumption Management and Energy-Saving Analysis System for the Large Public Building Based on WebAccess

2011 ◽  
Vol 374-377 ◽  
pp. 141-145
Author(s):  
Xiao Lin Lu ◽  
Lei Wang
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
High Energy ◽  
Public Building ◽  
Remote Transmission ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
The Status ◽  
Analysis System

Aim at the current situation of high energy-consumption of the large public building，proposed a WebAccess–based energy-consumption management and energy-saving analysis system.And it be used Zigbee distributed energy consumption measurement net for data remote transmission. The status of energy consumption in the future can be predicted through energy-consumption databases and energy-consumption models were built. The system can real time monitor and manage the energy-consumption status in large public constructions. It can provide a favorable foundation not only for energy conservation and reformation of those completed large public building, but also for energy conserved operation and supervision of those new constructions. This can help to achieve the goal of energy conservation and energy-consumption reduction in large public building.

scholarly journals Evaluation of CO2 emissions and energy use with different container terminal layouts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Statistical Analysis ◽  
Energy Use ◽  
Container Terminal ◽  
Container Terminals ◽  
Future Planning ◽  
Container Handling

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.

Energy Efficiency Assessment Oriented Building Energy Consumption System Model

2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Building Energy ◽  
Efficiency Index ◽  
Assessment System ◽  
Building Energy Consumption ◽  
Building Energy Conservation ◽  
Consumption System

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

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