scholarly journals Waste reduction algorithm used as the case study of simulated bitumen production process

2011 ◽  
Vol 65 (2) ◽  
pp. 197-204
Author(s):  
Marina Savic ◽  
Mica Jovanovic ◽  
Jelena Tanasijevic ◽  
Ozren Ocic ◽  
Aleksandar Spasic ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Production Process ◽  
Vacuum Distillation ◽  
Waste Reduction ◽  
Oil Refinery ◽  
Production Unit ◽  
Distillation Unit ◽  
Reduction Algorithm ◽  
Atmospheric Distillation ◽  
Helping Process

Waste reduction algorithm - WAR is a tool helping process engineers for environmental impact assessment. WAR algorithm is a methodology for determining the potential environmental impact (PEI) of a chemical process. In particular, the bitumen production process was analyzed following three stages: a) atmospheric distillation unit, b) vacuum distillation unit, and c) bitumen production unit. Study was developed for the middle sized oil refinery with capacity of 5000000 tones of crude oil per year. Results highlight the most vulnerable aspects of the environmental pollution that arise during the manufacturing process of bitumen. The overall rates of PEI leaving the system (PEI/h) - Iout PEI/h are: a) 2.14105, b) 7.17104 and c) 2.36103, respectively. The overall rates of PEI generated within the system - Igen PEI/h are: a) 7.75104, b) -4.31104 and c) -4.32102, respectively. Atmospheric distillation unit have the highest overall rate of PEI while the bitumen production unit have the lowest overall rate of PEI. Comparison of Iout PEI/h and Igen PEI/h values for the atmospheric distillation unit, shows that the overall rate of PEI generated in the system is 36.21% of the overall rate of PEI leaving the system. In the cases of vacuum distillation and bitumen production units, the overall rate of PEI generated in system have negative values, i.e. the overall rate of PEI leaving the system is reduced at 60.11% (in the vacuum distillation unit) and at 18.30% (in the bitumen production unit). Analysis of the obtained results for the overall rate of PEI, expressed by weight of the product, confirms conclusions.

scholarly journals Multi Input Multi Output (MIMO) Control 2x2 at Vacuum Distillation Unit for LVGO, MVGO, and HVGO Production

2018 ◽  
Vol 67 ◽  
pp. 03012
Author(s):  
Abdul Wahid ◽  
Naufal Syafiq Maro
Keyword(s):  
Performance Improvement ◽  
Predictive Control ◽  
Vacuum Distillation ◽  
Pi Controller ◽  
Oil Refinery ◽  
Distillation Unit ◽  
Control Performance ◽  
Multivariable Model ◽  
Atmospheric Residue ◽  
Better Than

Currently, Indonesia is still experiencing a fuel deficit, so it is necessary to build a new oil refinery and a process optimization at an existing refinery. A vacuum distillation unit (VDU) is used to process the atmospheric residue products from crude distillation unit (CDU). A multivariable model predictive control (MMPC) is proposed to improve a control performance in VDU because of the interaction between variables in the unit. Therefore, it is necessary to find the variables that interact with each other. In this study only two variables are discussed. Set point (SP) and disturbance changes are used to test the control performance with integral of square error (ISE) as the indicator. The results are compared with the control performance of the PI controller and a single MPC. As a result, the feed flow rate and bottom-stage temperature are strongest interactions so that both are determined as controlled variables in MMPC. The control performance of MMPC is better than the PI controller and the single MPC with control performance improvement of 48% to the PI controller and 21% to MPC on for Feed Flow Rates, and 98% to the PI controller and 27% to MPC on Bottom Stage Temperature. While on disturbance changes the enhancement is 35% for the Bottom Stage Temperature.

Analysis of the environmental impact using the waste reduction algorithm in polypropylene production by applying grade transitions strategies in Colombia

2019 ◽  
Vol 26 (35) ◽  
pp. 35533-35542
Author(s):  
Alexis Velásquez-Barrios ◽  
Cesar Rueda-Duran ◽  
Paula Marín-Valencia ◽  
Enrique Mogollón-Rincón ◽  
Juan Alvarez-Giraldo ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Waste Reduction ◽  
Reduction Algorithm

scholarly journals Optimizing for Viability – Revamping Vacuum Distillation Unit in a Brownfield Project

2020 ◽  
Vol 3 (11) ◽  
pp. 91-94
Author(s):  
Saiful Anuar Mohd Mokhtar ◽  
Marina Mosir
Keyword(s):  
Vacuum Distillation ◽  
Cooling Water ◽  
Water Systems ◽  
Oil Refinery ◽  
Distillation Unit ◽  
Steam Ejector ◽  
Ejector System ◽  
Steam Cooling ◽  
Multiple Product ◽  
Operating Plant

Revamping an existing column in an operating plant for a higher throughput is always a challenge especially when the column is already operating at its rated capacity. This is particularly true for a Vacuum Distillation Unit (VDU) column which involves multiple product and pump-around streams and associated auxiliary units like a steam ejector system. Optimizing the design and operation of the column, hence, is inevitable to ensure the viability of a brownfield project as it avoids major modifications required to the column and its associated auxiliary systems. This paper discusses how optimization was done on the design and operation of an existing VDU column in an oil refinery, avoiding major modifications of the associated ejector, steam, cooling water, sour water systems and heat exchanger network, allowing a brownfield project to stay commercially viable.

scholarly journals Environmental impact assessment of tofu production process: case study in SME Sugihmanik, Grobogan

2021 ◽  
Vol 894 (1) ◽  
pp. 012004
Author(s):  
S Hartini ◽  
B S Ramadan ◽  
R Purwaningsih ◽  
S Sumiyati ◽  
M A A Kesuma
Keyword(s):  
Environmental Impact ◽  
Production Process ◽  
Wastewater Treatment Plants ◽  
Impact Category ◽  
Threshold Value ◽  
Frying Process ◽  
Good Taste ◽  
Water Pumps ◽  
The Impact

Abstract Tofu contains various substances that are very good when consumed to improve people’s nutrition. In addition, tofu also has good taste. The problem is that the tofu production process produces products and non-product outputs in the form of waste that is very dangerous if directly disposed of in the environment. The BOD5 content of tofu small and medium-sized enterprises (SMEs) in Sugihmanik Village ranged from 3,667-4,933 mg/L and COD 7,668-9,736 mg/L. At the same time, the TSS values ranged from 701-1,189 mg/L. The BOD5 value in the river water content is 367 mg/L. It greatly exceeds the set Threshold Value. This study aims to measure the environmental impact using Life Cycle Assessment (LCA). LCA can identify the impact of each activity based on the impact category to identify the processes that contribute significantly to damaging the environment. This study found that the cooking and frying process had the highest impact, where the climate change category was the largest. Wastewater treatment plants, biogas from the biodigester as a substitute for electricity for water pumps, rice husks, and corn cobs are expected to reduce environmental impacts. The first section in your paper

scholarly journals Accounting for Carbon Footprint Flows in Wine Production Process. Case Study in Spanish Winery

2020 ◽  
Vol 10 (23) ◽  
pp. 8381
Author(s):  
Miguel Marco-Fondevila ◽  
José M. Moneva ◽  
Fernando Llena-Macarulla
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Production Process ◽  
Carbon Footprint ◽  
Value Chain ◽  
Corporate Image ◽  
Accounting System ◽  
Low Carbon ◽  
Wine Production

Companies are gradually becoming conscious about the necessity of reducing their environmental impact and adopting low-carbon strategies in order to cope with increasing institutional and social demands. However, remaining competitive while reducing the environmental impact and improving the corporate image requires adopting sophisticated mechanisms boosting eco-efficiency and keeping costs tight. Material Flows Cost Accounting (MFCA) is an instrument that allows the monitoring of, measurement of, and accounting for physical and monetary processes along the production process. If extended to the supply chain, and applied to the energy usage and CO2 emissions, it allows one to account for the Carbon Footprint (CF) of a company and its products at any given stage of the value chain. The current paper presents a case study developed under the framework of a three-year project to introduce an energy use and carbon emissions monitoring and accounting system in a large winery company in Spain, based on the MFCA approach and CF accountability. Including the supply chain of the company and the whole farming cycle of its main input, the case study presents the method and phases adopted to implement the project, its direct and indirect results and outcomes, and the conclusions that can be extracted, which may be inspirational for practitioners and scholars envisaging similar projects.

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