scholarly journals Refreshment topics II: Design of distillation columns

2006 ◽  
Vol 60 (3-4) ◽  
pp. 92-102
Author(s):  
Svetomir Milojevic ◽  
Dejan Skala
Keyword(s):  
Production Process ◽  
Distillation Column ◽  
Separation Process ◽  
Normal Operation ◽  
Distillation Unit ◽  
Design Parameters ◽  
Specific System ◽  
Variable Parameters ◽  
Distillation Columns ◽  
The Right

For distillation column design it is necessary to define all the variable parameters such as component concentrations in different streams temperatures, pressures, mass and energy flow, which are used to represent the separation process of some specific system. They are related to each other according to specific laws, and if the number of such parameters exceeds the number of their relationships, in order to solve a problem some of them must be specified in advance or some constraints assumed for the mass balance, the balance of energy, phase equilibria or chemical equilibria. Knowledge of specific elements which are the constituents of a distillation unit must be known to define the number of design parameters as well as some additional apparati also necessary to realize the distilation. Each separate apparatus might be designed and constructed only if all the necessary and variable parameters for such a unit are defined. This is the right route to solve a distilation unit in many different cases. The construction of some distillation unit requires very good knowledge of mass, heat and momentum transfer phenomena. Moreover, the designer needs to know which kind of apparatus will be used in the distillation unit to realize a specific production process. The most complicated apparatus in a rectification unit is the distillation column. Depending on the complexity of the separation process one, two or more columns are often used. Additional equipment are heat exchangers (reboilers, condensers, cooling systems, heaters), separators, tanks for reflux distribution, tanks and pumps for feed transportation, etc. Such equipment is connected by pipes and valves, and for the normal operation of a distillation unit other instruments for measuring the flow rate, temperature and pressure are also required. Problems which might arise during the determination and selection of such apparati and their number requires knowledge of the specific systems which must be separated. The experience of the designer and his creativity for proposing a solution for an industrial unit which enables optimal process operation accompanied with minimal energy consumption, as well as a small number of apparati, and minimal total length of pipes and number of instruments is always a valuable additional effect for minimal investment costs and an optimal production process.

scholarly journals Reconstruction of the hardware design for isopropylbenzene production for the production of ethylbenzene

2021 ◽  
Vol 83 (2) ◽  
pp. 184-190
Author(s):  
S. V. Popov ◽  
N. Y. Krymkin ◽  
O. V. Khabibrakhmanov ◽  
E. N. Papulovskikh
Keyword(s):  
Computational Experiment ◽  
Distillation Column ◽  
Hardware Design ◽  
Reaction Mass ◽  
Technological Scheme ◽  
Design Parameters ◽  
Alkylation Reaction ◽  
Stable Operation ◽  
Separation Unit ◽  
Distillation Columns

The hardware design of the rectification unit for the production of isopropylbenzene in the presence of the AlCl3 catalyst is considered, the use of which has a number of problems associated with its corrosiveness, rapid deactivation, the complexity of regeneration, etc. One of the possible solutions to the listed technological disadvantages is the use of heterogeneous zeolite-containing catalysts. In this case, during the reconstruction of the existing production of isopropylbenzene in the technological scheme of separation of alkylate, three rectification columns are released, which are expediently used to separate the alkylate of ethylbenzene production. To study the possibility of using the discharging distillation columns, a computational experiment was carried out using the Honeywell UniSim Design modeling system, in which a model of the alkylate separation unit for ethylbenzene production was formed. The NRTL method was used as a mathematical package for calculating the thermodynamic properties of the mixture components. As a result of modeling the operation of the alkylate separation unit for each distillation column, the optimal operating process parameters were obtained: pressure of the top and bottom of the column, reflux ratio, temperature profile along the height of the column. The calculated material balance of the technological scheme shows that in the first distillation column, complete separation of benzene from the alkylation reaction mass is achieved, the second column ensures the production of commercial ethylbenzene, and in the third column, a fairly clear separation of diethylbenzene from the remaining components of the mixture is obtained. The performed computational experiment showed that for the organization of the stable operation of the technological scheme for the separation of alkylate in the production of ethylbenzene, it is possible to use all the considered distillation columns without changing their design parameters at a load on the reaction mass of alkylation of about 60 t / h.

scholarly journals Optimal Synthesis of Energy Efficient Distillation Columns Sequence Using Driving Force Method

2015 ◽  
Vol 9 (7) ◽  
pp. 154
Author(s):  
Ahmad Nafais Rahimi ◽  
Mohd. Faris Mustafa ◽  
Muhammad Zakwan Zaine ◽  
Norazana Ibrahim ◽  
Kamarul Asri Ibrahim ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Driving Force ◽  
Distillation Column ◽  
Energy Analysis ◽  
Separation Process ◽  
Hydrocarbon Mixture ◽  
Optimal Sequence ◽  
Distillation Columns ◽  
Force Method ◽  
Mixture Separation

This paper presents the study of the optimal synthesis of energy efficient distillation columns (EEDCs) sequenceby using the driving force method. In order to perform the study and analysis, the EEDCs sequence methodologyhas been developed. Accordingly, the methodology consists of four hierarchical sequential steps; Step 1: ExistingSequence Energy Analysis, Step 2: Optimal Sequence Determination, Step 3: Optimal Sequence Energy Analysis,and Step 4: Energy Comparison. The capability of this methodology has been tested in designing minimumenergy distillation column sequence for hydrocarbon mixture separation process. The results show that themaximum of 39.6 % energy reduction was able to achieve by changing the sequence suggested by the drivingforce method. It can be concluded that, the sequence determined by the driving force method is able to reduceenergy requirement for hydrocarbon mixture separation process. All of this findings show that the methodologyis able to design minimum energy distillation column sequence for hydrocarbon mixture separation process in aneasy, practical and systematic manner.

IMPLEMENTASI JOB ORDER COSTING METHOD DALAM PERHITUNGAN HARGA POKOK PRODUKSI MAP

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Ika Yulianti ◽  
Endah Masrunik ◽  
Anam Miftakhul Huda ◽  
Diana Elvianita
Keyword(s):  
Production Process ◽  
Quantitative Data ◽  
Production Cost ◽  
Qualitative Data ◽  
Cost Data ◽  
Method Calculation ◽  
Cost Of Production ◽  
The Right ◽  
The Cost

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method

scholarly journals Novel Hybrid Reactive Distillation with Extraction and Distillation Processes for Furfural Production from an Actual Xylose Solution

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1152
Author(s):  
Le Cao Nhien ◽  
Nguyen Van Duc Long ◽  
Moonyong Lee
Keyword(s):  
Production Process ◽  
Energy Use ◽  
Reactive Distillation ◽  
Process Efficiency ◽  
Continuous Stirred Tank Reactor ◽  
Butyl Chloride ◽  
Distillation Columns ◽  
Reactive Liquid ◽  
Pharmaceutical Industries ◽  
Furfural Production

Furfural is only derived from lignocellulosic biomass and is an important chemical used in the plastics, agrochemical, and pharmaceutical industries. The existing industrial furfural production process, involving reaction and purification steps, suffers from a low yield and intensive energy use. Hence, major improvements are needed to sustainably upgrade the furfural production process. In this study, the conventional furfural process based on a continuous stirred tank reactor and distillation columns was designed and optimized from an actual aqueous xylose solution via a biomass pretreatment step. Subsequently, a reactive distillation (RD) and extraction/distillation (ED) configuration was proposed for the reaction and purification steps, respectively, to improve the process efficiency. RD can remove furfural instantly from the reactive liquid phase and can separate heavy components from the raw furfural stream, while the ED configuration with toluene and butyl chloride used as extracting solvents can effectively separate furfural from a dilute aqueous stream. The results showed that the hybrid RD-ED process using a butyl chloride solvent saves up to 51.8% and 57.4% of the total investment costs and total annual costs, respectively, compared to the conventional process. Furthermore, environmental impacts were evaluated and compared for all structural alternatives.

scholarly journals Measuring Canopy Geometric Structure Using Optical Sensors Mounted on Terrestrial Vehicles: A Case Study in Vineyards

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 208
Author(s):  
Daniel Queirós da Silva ◽  
André Silva Aguiar ◽  
Filipe Neves dos Santos ◽  
Armando Jorge Sousa ◽  
Danilo Rabino ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Optical Sensors ◽  
Precision Agriculture ◽  
Real Data ◽  
Relevant Information ◽  
Normal Operation ◽  
Area Index ◽  
Sensory Data ◽  
The Right

Smart and precision agriculture concepts require that the farmer measures all relevant variables in a continuous way and processes this information in order to build better prescription maps and to predict crop yield. These maps feed machinery with variable rate technology to apply the correct amount of products in the right time and place, to improve farm profitability. One of the most relevant information to estimate the farm yield is the Leaf Area Index. Traditionally, this index can be obtained from manual measurements or from aerial imagery: the former is time consuming and the latter requires the use of drones or aerial services. This work presents an optical sensing-based hardware module that can be attached to existing autonomous or guided terrestrial vehicles. During the normal operation, the module collects periodic geo-referenced monocular images and laser data. With that data a suggested processing pipeline, based on open-source software and composed by Structure from Motion, Multi-View Stereo and point cloud registration stages, can extract Leaf Area Index and other crop-related features. Additionally, in this work, a benchmark of software tools is made. The hardware module and pipeline were validated considering real data acquired in two vineyards—Portugal and Italy. A dataset with sensory data collected by the module was made publicly available. Results demonstrated that: the system provides reliable and precise data on the surrounding environment and the pipeline is capable of computing volume and occupancy area from the acquired data.

The Research of Production Process Statistical Steady-State Based on the Hypothesis Test

2011 ◽  
Vol 314-316 ◽  
pp. 2433-2438
Author(s):  
Wei Zhi Wang
Keyword(s):  
Quality Control ◽  
Steady State ◽  
Production Process ◽  
Quantitative Method ◽  
Large Scale ◽  
Hypothesis Test ◽  
Influence Factors ◽  
Normal Operation ◽  
Scale Production ◽  
Large Scale Production

By only applying a after the event exam in the quality control of the batch production is not enough to meet the needs of modern large-scale production. To a certain extent, modern quality control is a dynamic process of the steady-state judge and adjustment. A simple and reliable steady-state judge rule and method is the premise to guarantee the normal operation. This paper provides a quantitative method to evaluate production process steady-state by analyzing influence factors based on mathematical statistics. The method is both suitable for simple production process and complex production process with sub-processes.

scholarly journals Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

2013 ◽  
Vol 2013 ◽  
pp. 1-17 ◽  
Author(s):  
Muddu Madakyaru ◽  
Mohamed N. Nounou ◽  
Hazem N. Nounou
Keyword(s):  
Feature Extraction ◽  
Latent Variable ◽  
Prediction Accuracy ◽  
Distillation Column ◽  
Selection Criterion ◽  
Process Data ◽  
Distillation Columns ◽  
Latent Variable Regression ◽  
Multiscale Filtering ◽  
Modeling Algorithm

Proper control of distillation columns requires estimating some key variables that are challenging to measure online (such as compositions), which are usually estimated using inferential models. Commonly used inferential models include latent variable regression (LVR) techniques, such as principal component regression (PCR), partial least squares (PLS), and regularized canonical correlation analysis (RCCA). Unfortunately, measured practical data are usually contaminated with errors, which degrade the prediction abilities of inferential models. Therefore, noisy measurements need to be filtered to enhance the prediction accuracy of these models. Multiscale filtering has been shown to be a powerful feature extraction tool. In this work, the advantages of multiscale filtering are utilized to enhance the prediction accuracy of LVR models by developing an integrated multiscale LVR (IMSLVR) modeling algorithm that integrates modeling and feature extraction. The idea behind the IMSLVR modeling algorithm is to filter the process data at different decomposition levels, model the filtered data from each level, and then select the LVR model that optimizes a model selection criterion. The performance of the developed IMSLVR algorithm is illustrated using three examples, one using synthetic data, one using simulated distillation column data, and one using experimental packed bed distillation column data. All examples clearly demonstrate the effectiveness of the IMSLVR algorithm over the conventional methods.

scholarly journals Model of Application of Technology to Increase Income in Micro Business Clover Stick in The Face of Covid19 Pandemic Era

2021 ◽  
Vol 1 ◽  
pp. 198-205
Author(s):  
Hendrik Rizqiawan ◽  
Iful Novianto ◽  
Subaderi Subaderi
Keyword(s):  
Production Process ◽  
Digital Technology ◽  
Technology Application ◽  
Application Model ◽  
The Face ◽  
The Right

The Covid19 pandemic has caused complicated problems for many entrepreneurs, including partners who are micro-entrepreneurs. The Semanggi Stick micro business, which is run by a group of women in Lakarsantri Village, Surabaya City, has been severely affected by the Covid19 pandemic. Even in the first few months of the pandemic outbreak, their businesses did not operate. The clover sticks they produce are not the main choice that must be purchased for communities around the partner’s location. This is possible because so far partners have only marketed their products around their area, partners have not taken advantage of the availability of digital technology in marketing. In addition, partners have been carrying out the production process using conventional and simple equipment. This was considered ineffective and resulted in some partner members choosing other activities that were more productive. With the right technology application model, both in the production and marketing processes, partners will experience an increase in sales. Before the pandemic, the sales generated by partners was at 500 thousand to 1 million per month, after using this technology application model partners can get a sales of more than 2 million Rupiah in one month.

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