Chemical Aspects of Onshore Crude Oils from the Carmópolis Field, Sergipe-Alagoas Basin, Brazil: A Case Study on the Industrial Process for Water–Oil Separation

2015 ◽  
Vol 29 (3) ◽  
pp. 1315-1322 ◽  
Author(s):  
Jandyson M. Santos ◽  
Flávia M. L. Santos ◽  
Rennan G. O. Araujo ◽  
Anselmo Carvalho Lessa ◽  
Jomery Pereira de Souza ◽  
...  
Keyword(s):  
Industrial Process ◽  
Crude Oils ◽  
Oil Separation

Application of Process Control in Production of Biocellulose: A Case Study

2015 ◽  
Vol 754-755 ◽  
pp. 960-963
Author(s):  
Norliza Abd Rahman ◽  
Muhammad Atif Azhari Mohd Azmi ◽  
Mohd Izzuddin Ahmad Zainuri ◽  
Stephina Lupang Laing ◽  
Norasila Kasim ◽  
...  
Keyword(s):  
Process Control ◽  
Low Cost ◽  
Maximum Yield ◽  
Industrial Process ◽  
Raw Material ◽  
Freezing Process ◽  
Yield Production ◽  
Plant Capacity ◽  
Simple Carbohydrate

This paper describes a design of industrial modelling process of bacterial cellulose production. The main factors for the economic unfeasibility of this production are raw material price, plant capacity and capital cost. The purpose of this modelling is developing, studying, and evaluating process control technology in order to achieve low-cost preparation and high biocellulose (BC) production in industrial scale. In this model, glucose, a simple carbohydrate has been chosen as the carbon source. The aerobic fermentation ofAcetobacterxylinumis regulated at particular temperature and pH to ensure maximum yield production. This fermentation process involves six stages that are sterilization, inoculation, fermentation, treatment, waste removal and drying/freezing. Nineteen streams will control and monitor the whole processes. The waste will undergo treatment in NaOH tank followed by sedimentation tank and filtration process for removal. Meanwhile, the BC is purified through drying and freezing process to preserve the product from contamination. This design shows that modelling is a powerful methodology for predicting and prioritizing methods of re‐engineering an industrial process in order to achieve greater performance.

Charging History of Crude Oils in the Slope Belt of the Southern Junggar Foreland Basin, NW China: A Case Study from the East Edge of Chepaizi High

2015 ◽  
Vol 33 (5) ◽  
pp. 727-744 ◽  
Author(s):  
Fei Xiao ◽  
Luofu Liu ◽  
Kangjun Wu ◽  
Changxiao Zhou ◽  
Zhengjian Xu ◽  
...  
Keyword(s):  
Foreland Basin ◽  
Crude Oils ◽  
Nw China ◽  
History Of

The effect of slight to minor biodegradation on C6 to C7 light hydrocarbons in crude oils: a case study from Dawanqi Oilfield in the Tarim Basin, NW China

2016 ◽  
Vol 35 (2) ◽  
pp. 203-214 ◽  
Author(s):  
Lu Yang ◽  
Chunming Zhang ◽  
Meijun Li ◽  
Jing Zhao ◽  
Xuening Qi ◽  
...  
Keyword(s):  
Tarim Basin ◽  
Crude Oils ◽  
Light Hydrocarbons ◽  
Nw China

scholarly journals Uncertainty over techno-economic potentials of biogas from municipal solid waste (MSW): A case study on an industrial process

2014 ◽  
Vol 125 ◽  
pp. 84-92 ◽  
Author(s):  
Karthik Rajendran ◽  
Harshavardhan R. Kankanala ◽  
Rakel Martinsson ◽  
Mohammad J. Taherzadeh
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Industrial Process

Numerical Simulation of Seismic Risk and Loss Propagation Effects in Process Plants: An Oil Refinery Case Study

2017 ◽  
Author(s):  
Antonio C. Caputo ◽  
Alessandro Vigna
Keyword(s):  
Risk Assessment ◽  
Seismic Risk ◽  
Production Capacity ◽  
Industrial Process ◽  
Oil Refinery ◽  
Quantitative Methodology ◽  
Seismic Risk Assessment ◽  
Technical Standards ◽  
Process Plants

Process plants are vulnerable to natural hazards and, in particular, to earthquakes. Nevertheless, the quantitative assessment of seismic risk of process plants is a complex task because available methodologies developed in the field of civil and nuclear engineering are not readily applicable to process plants, while technical standards and regulations do not establish any procedure for the overall seismic risk assessment of industrial process plants located in earthquake-prone areas. This paper details the results of a case study performing a seismic risk assessment of an Italian refinery having a 85,000 barrels per day production capacity, and a storage capacity of over 1,500,000 m3. The analysis has been carried out resorting to a novel quantitative methodology developed in the framework of a European Union research program (INDUSE 2 SAFETY). The method is able to systematically generate potential starting scenarios, deriving from simultaneous interactions of the earthquake with each separate equipment, and to account for propagation of effects between distinct equipment (i.e. Domino effects) keeping track of multiple simultaneous and possibly interacting chains of accidents. In the paper the methodology, already described elsewhere, is briefly resumed, and numerical results are presented showing relevant accident chains and expected economic loss, demonstrating the capabilities of the developed tool.

Quality Prediction in Complex Industrial Process with Support Vector Machine and Genetic Algorithm Optimization: A Case Study

2012 ◽  
Vol 232 ◽  
pp. 603-608 ◽  
Author(s):  
Jian Guo Yang ◽  
Zhi Jun Lu ◽  
Bei Zhi Li
Keyword(s):  
Predictive Accuracy ◽  
Industrial Process ◽  
Support Vector ◽  
Quality Prediction ◽  
Algorithm Optimization ◽  
Yarn Properties ◽  
Regression Algorithms ◽  
Yarn Production ◽  
The Stability

The yarn production is a complex industrial process, and the relation between the spinning variables and the yarn properties has not been established conclusively so far. The SVM regression algorithms are briefly introduced in this study, and then SVM models for predicting yarn properties have been presented. Model selection which amounts to search in hyper-parameter space is performed for study of suitable parameters with Genetic Algorithms. The yarn experimental results indicate that GA- SVM models are capable of remaining the stability of predictive accuracy, and more suitable for noisy and dynamic industrial process.

scholarly journals Industrial consumers’ electricity market participation options: a case study of an industrial cooling process in Denmark

2021 ◽  
Vol 4 (S2) ◽  
Author(s):  
Nicolas Fatras ◽  
Zheng Ma ◽  
Bo Nørregaard Jørgensen
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Market Price ◽  
Industrial Process ◽  
Operating Conditions ◽  
Comparative Approach ◽  
Market Participation ◽  
Cooling Process ◽  
Process Flexibility

AbstractIn a deregulated market context, industrial consumers often have multiple market participation options available to bid their flexible consumption in electricity markets and thereby reduce their electricity bill. Yet most participation strategies for demand response are developed in a fixed and predefined set of submarkets. Meanwhile, little literature has compared multiple market options for market participants. Therefore, this paper proposes a comparative approach between available market options to evaluate savings from different market participation options. More specifically, this study implements an optimisation program in Python to investigate the impacts of changes in an industrial process’ flexibility on savings with different market participation options. The optimisation program is tested with a case study of an industrial cooling process in three Danish submarkets (day-ahead, intraday, and regulating power markets). The market participation options are formed by different combinations of these three submarkets, and the type and amount of process flexibility are varied by changing time and load constraints in the optimisation program. The results show that bidding in market options with multiple submarkets yields higher savings than single-market bidding, but that increases in available flexibility impact savings in each market option differently. Increased flexibility will only bring additional savings if it allows to take further advantage of price variations in a market option. Additionally, increases in savings with flexibility depend on the considered type of flexibility. These changes in relative savings between market options at each flexibility level imply that the optimal market option is not a static choice for a process with variable operating conditions. The optimal market option for an industrial consumer depends not only on market price signals, but also on the type and amount of available flexibility.

Mapping the Potential for a Combined Generation of Electricity and Industrial Process Heat in the Northeast of Brazil - Case Study: Bahia

2021 ◽  
Author(s):  
Chigueru Tiba ◽  
Veronica Wilma de Bezerra Azevedo ◽  
Marcos Paes ◽  
Leonardo Faustino Lacerda de Souza
Keyword(s):  
Industrial Process ◽  
Process Heat
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