Environmental Performance Assessment for Heterogeneous Azeotropic Distillation Partitioned Distillation Column

2012 ◽  
Vol 485 ◽  
pp. 229-232 ◽  
Author(s):  
Jun Li ◽  
Jun Wang ◽  
Zhan Hua Ma ◽  
Lan Yi Sun
Keyword(s):  
Energy Consumption ◽  
Optimal Design ◽  
Environmental Performance ◽  
Distillation Column ◽  
Minimum Energy ◽  
Azeotropic Distillation ◽  
Alcohol Dehydration ◽  
Minimum Energy Consumption ◽  
Environmental Performance Assessment ◽  
Back Mixing

A heterogeneous azeotropic distillation partitioned distillation column (HADPDC) for alcohol dehydration was investigated compared to a conventional heterogeneous azeotropic distillation sequence (CHADS) from environmental performance perspective by using the software Aspen Plus. HADPDC can eliminate the condenser of the second column and decrease the degree of back-mixing. The optimal design of HADPDC guaranteed the minimum energy consumption, which is related to the minimum CO2 emissions.

An Analysis of Increasing the Purity of Ethylene Production in the Ethylene Fractionation Column by the Genetic Algorithm

2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Asadollah Karimi ◽  
Hadi Soltani ◽  
Aydin Hasanzadeh
Keyword(s):  
Energy Consumption ◽  
Ethylene Production ◽  
Distillation Column ◽  
Initial Conditions ◽  
Minimum Energy ◽  
Operating Conditions ◽  
Reflux Ratio ◽  
Simulation And Optimization ◽  
Minimum Energy Consumption ◽  
Fractionation Column

AbstractDistillation columns are among the most common fractionation systems with numerous applications in petrochemical units. Hence, the optimization of these columns is a large step in reducing energy consumption and increasing process productivity. This study was, therefore, carried out as a case study of the simulation and optimization of the parameters influencing the ethylene production of the ethylene distillation column in an olefin unit. The two defined objective functions in this research were maximum mass flow of ethylene in the upstream flow of the distillation column and the minimum energy consumption in the distillation column. The optimal operating conditions for the independent variables were estimated using the NSGAII algorithm. The sensitivity analysis of the results was, thereafter, carried out and the optimization results introduced tray no. 71 as the most suitable feed location. In addition, the optimal reflux ratio and the optimal feed flow temperature were 5.26 and −18.49 °C, respectively. In this condition, the upstream ethylene flow rate and energy consumption in the unit increased by approximately 0.74 % and 0.9 % as compared to the initial conditions, respectively.

OPTIMAL DESIGN OF HEXAPOD WALKING ROBOT LEG STRUCTURE BASED ON ENERGY CONSUMPTION AND WORKSPACE

2014 ◽  
Vol 38 (3) ◽  
pp. 305-317 ◽  
Author(s):  
Ya-guang Zhu ◽  
Bo Jin ◽  
Wei Li ◽  
Shi-tong Li
Keyword(s):  
Energy Consumption ◽  
Optimal Design ◽  
Minimum Energy ◽  
Inequality Constraints ◽  
Optimal Parameters ◽  
Walking Robot ◽  
Total Energy Consumption ◽  
Joint Torques ◽  
Minimum Energy Consumption ◽  
Robot Leg

In order to achieve the optimal design of the hexapod walking robot leg structure, a combined index of energy consumption and workspace is raised. By deriving the energy consumption functions and analyzing the target workspace, a mathematical model of nonlinear programming with inequality constraints is established. The genetic algorithm coupled with inverse kinematics and trajectory planning in a gait period is utilized to solve the optimization problem. The analysis verifies that the requirements of turning and obstacle overcoming can be satisfied, and the total energy consumption can be reduced. The results show that the optimal parameters not only satisfy the requirement of the target workspace, but also achieve the minimum energy consumption and lower joint torques.

Study on Heat Integrated Azeotropic Distillation

2011 ◽  
Vol 225-226 ◽  
pp. 80-83
Author(s):  
Lan Yi Sun ◽  
Ru Jun Wang ◽  
Cheng Zhai ◽  
Qing Song Li
Keyword(s):  
Energy Consumption ◽  
Minimum Energy ◽  
Azeotropic Distillation ◽  
Design And Optimization ◽  
Minimum Energy Consumption ◽  
Design Variables ◽  
Azeotropic Mixtures ◽  
Main Column ◽  
Optimal Values

In this paper, the design and optimization procedures of a heterogeneous heat integrated azeotropic distillation sequence with side stripper (HIADS-SS) for the purification of isopropanol are investigated. The proposed procedures can detect the optimal values of the design variables and thereby guarantee the minimum energy consumption. The procedures are applied to the study of the separation of azeotropic mixtures using the two distillation sequences. In the HIADS-SS, the top end of the side stripper has both liquid and vapor exchange with the main column, which eliminates a condenser compared with the conventional heterogeneous azeotropic distillation sequence (CHADS). The results show that reductions in energy consumption can be obtained using the HIADS-SS.

scholarly journals Optimization of Energy-Efficient Speed Profile for Electrified Vehicles

2018 ◽  
Author(s):  
Hadi Abbas ◽  
Youngki Kim ◽  
Jason B. Siegel ◽  
Denise M. Rizzo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Efficient Operation ◽  
Operating Modes ◽  
Minimum Energy Consumption ◽  
System A ◽  
Trip Time ◽  
Route Information

This paper presents a study of energy-efficient operation of vehicles with electrified powertrains leveraging route information, such as road grades, to adjust the speed trajectory. First, Pontryagin’s Maximum Principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only 5 modes are required to achieve minimum energy consumption; full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. The minimum energy consumption problem is reformulated and solved in the distance domain using Dynamic Programming to optimize speed profiles. A case study is shown for a light weight military robot including road grades. For this system, a tradeoff between energy consumption and trip time was found. The optimal cycle uses 20% less energy for the same trip duration, or could reduce the travel time by 14% with the same energy consumption compared to the baseline operation.

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