Modelling Gas Processing Unit: An Inter-disciplinary Approach Based on Petri Nets

2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sanda Florentina Mihalache

A modelling approach that will facilitate an in-depth understanding of the interactions of the different phenomena, human interactions and environmental factors constituting �real world� industrial processes is presented. An important industrial system such as Gas Processing Unit (GPU) have inter-related internal process activities coexisting with external events and requires a real time inter-disciplinary approach to model them. This modeling framework is based on identifying as modules, the part of processes that have interactions and can be considered active participants in overall behaviour. The selected initial set of modules are structured as Petri net models and made to interact iteratively to provide process states of the system. The modeling goal is accomplished by identifying the evolution of the process states as a means of effective representation of the �actual running�� of the industrial process. The paper discusses the function and the implementation of the modelling method as applicable to the industrial case of GPU.

Author(s):  
Diego Villa Valdivieso ◽  
Mabel Parada Rivera ◽  
Marlene García Veloz

The main objective of this work was to design the industrial process for the elaboration of quinoa extruded (Chenopodium quinoa Willd) of vanilla, chocolate and passion fruit flavors. The first step was the physical, bromatological and microbiological characterization of the raw material according to the ‘NTE INEN 1673 (2013): Quinoa Requirements’. Next, both the laboratory and industrial processes were performed, in which the unitary operations suitable for precise design were determined, including extrusion, evaporation, mixing and drying. Simultaneously, data of the necessary processes were taken (humidity, temperature and time) which facilitated all engineering calculations essential to generate a daily production using 17 kg of natural quinoa extrude to obtain 22,702 kg of vanilla, 23,491 kg of chocolate or 24,137 kg of passion fruit values that were determined by mass balances. With these processed samples, a sensory evaluation was conducted using a preference test in which the vanilla flavor obtained a 63.03% acceptability, followed by passion fruit with 20.72%, and finally chocolate with 16.22%. Once it was completed, the design was validated through the ‘NTE INEN 2570 (2011): grain, cereal and seed snacks. Requirements’, recording values within the limits recommended by the norm. Thus, the product is suitable for human consumption. Keywords: Humidity, Extrusion, Mass balance, food safety, Statgraphycs (software). Resumen El presente trabajo tuvo por principal objetivo diseñar el proceso industrial para la elaboración de extruido de quinua (Chenopodium quinoa Willd) sabor a vainilla, chocolate y maracuyá, donde para cumplirlo se inició con la caracterización física, bromatológica y microbiológica de la materia prima acorde a la ‘NTE INEN 1673 (2013): Quinua. Requisitos.’, seguido a esto se desarrolló el proceso tanto a nivel de laboratorio como industrial en donde se determinaron las operaciones unitarias idóneas para un diseño preciso entre las que constan la extrusión, la evaporación, el mezclado y el secado, a la vez se tomaron los datos necesarios de las variables del proceso (humedad, temperatura y tiempo) que ayudarían a realizar todos los cálculos de ingeniería indispensables para generar una producción diaria que utiliza 17 kg de extruido de quinua natural para obtener 22,702 kg de vainilla, 23,491 de chocolate o 24,137 kg de maracuyá, valores que fueron determinados mediante balances de masa. Con las muestras elaboradas se procedió a realizar una ficha de evaluación sensorial utilizando una prueba de preferencia en la que el sabor de vainilla tuvo un 63,03% de aceptabilidad, seguido del de maracuyá con un 20,72% y por último el de chocolate con un 16,22%. Una vez se culminó el diseño se realizó su validación a través de la ‘NTE INEN 2570 (2011): Bocaditos de granos, cereales y semillas. Requisitos.’, registrando valores dentro de los límites recomendados por dicha norma, por lo tanto el producto es apto para el consumo humano. Palabras Clave: Humedad, Extrusión, Balance de masa, Seguridad alimentaria Statgraphycs (software).


Author(s):  
Charles Tim Batista Garrocho ◽  
Célio Márcio Soares Ferreira ◽  
Carlos Frederico Marcelo da Cunha Cavalcanti ◽  
Ricardo Augusto Rabelo Oliveira

The industrial internet of things is expected to attract significant investment to the industry. In this new environment, blockchain presents immediate potential in industrial IoT applications, offering several benefits to industrial cyber-physical systems. However, works in the blockchain literature target environments that do not meet the reality of the factory and do not assess the impact of the blockchain on industrial process requirements. Thus, this chapter presents an investigation of the evolution of industrial process automation systems and blockchain-based applications in the horizontal and vertical integration of the various systems in a supply chain and factories. In addition, through an investigation of experimental work, this work presents issues and challenges to be faced for the application of blockchain in industrial processes. Evaluations and discussions are mainly focused on aspects of real-time systems in machine-to-machine communication of industrial processes.


2013 ◽  
Vol 22 (2) ◽  
pp. 75-96
Author(s):  
G. T. Bloomfield ◽  
Elizabeth Bloomfield

How urban was industrial activity in 1871, when only one in five Canadians lived in incorporated cities, towns or villages? This paper explores central Canada's urban-industrial system at a time of transition in industrial technology, business organization and work discipline. Based on analysis of the manuscript schedules of the First Census of Canada made machine-readable by the CANIND71 project, the article has three main parts. First, the whole urban-industrial system is described, using a classification that combines measures of the significance of industrial work in each place and of specialization in particular sectors with the population size of urban centres. Next, a typology of industrial workplaces is presented, combining measures of the number of workers with the extent to which non-manual power was used in the industrial process. Patterns of industry within urban places (especially Trois-Rivières and Guelph) are examined in order to assess factors such as rail and water transport, types of power, scale of process and size of output, and types of workplace and workforce. The authors propose questions and directions for further research on industry in Canada's urban centres.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3968 ◽  
Author(s):  
Jingbo Wang ◽  
Weiming Shao ◽  
Zhihuan Song

Because of multiple manufacturing phases or operating conditions, a great many industrial processes work with multiple modes. In addition, it is inevitable that some measurements of industrial variables obtained through hardware sensors are incorrectly observed, recorded or imported into databases, resulting in the dataset available for statistic analysis being contaminated by outliers. Unfortunately, these outliers are difficult to recognize and remove completely. These process characteristics and dataset imperfections impose challenges on developing high-accuracy soft sensors. To resolve this problem, the Student’s-t mixture regression (SMR) is proposed to develop a robust soft sensor for multimode industrial processes. In the SMR, for each mixing component, the Student’s-t distribution is used instead of the Gaussian distribution to model secondary variables, and the functional relationship between secondary and primary variables is explicitly considered. Based on the model structure of the SMR, a computationally efficient parameter-learning algorithm is also developed for SMR. Results conducted on two cases including a numerical example and a real-life industrial process demonstrate the effectiveness and feasibility of the proposed approach.


Author(s):  
Piyush Sabharwall ◽  
Denis E. Clark ◽  
Ronald E. Mizia ◽  
Michael V. Glazoff ◽  
Michael G. McKellar

The goal of next generation reactors is to increase energy efficiency in the production of electricity and provide high-temperature heat for industrial processes. The efficient transfer of energy for industrial applications depends on the ability to incorporate effective heat exchangers between the nuclear heat transport system and the industrial process. The need for efficiency, compactness, and safety challenge the boundaries of existing heat exchanger technology. Various studies have been performed in attempts to update the secondary heat exchanger that is downstream of the primary heat exchanger, mostly because its performance is strongly tied to the ability to employ more efficient industrial processes. Modern compact heat exchangers can provide high compactness, a measure of the ratio of surface area-to-volume of a heat exchange. The microchannel heat exchanger studied here is a plate-type, robust heat exchanger that combines compactness, low pressure drop, high effectiveness, and the ability to operate with a very large pressure differential between hot and cold sides. The plates are etched and thereafter joined by diffusion welding, resulting in extremely strong all-metal heat exchanger cores. After bonding, any number of core blocks can be welded together to provide the required flow capacity. This study explores the microchannel heat exchanger and draws conclusions about diffusion welding/bonding for joining heat exchanger plates, with both experimental and computational modeling, along with existing challenges and gaps. Also, presented is a thermal design method for determining overall design specifications for a microchannel printed circuit heat exchanger for both supercritical (24 MPa) and subcritical (17 MPa) Rankine power cycles.


2020 ◽  
Author(s):  
Anna Conchon ◽  
Olivier Titaud ◽  
Inna Senina ◽  
Beatriz Calmettes ◽  
Audrey Delpech ◽  
...  

<p><span xml:lang="EN-US" data-contrast="none"><span>SEAPODYM-LMTL is the Lower (zooplankton) and Mid (micronekton) Trophic levels model of the Spatial Ecosystem </span></span><span xml:lang="EN-US" data-contrast="none"><span>And</span></span><span xml:lang="EN-US" data-contrast="none"><span> </span></span><span xml:lang="EN-US" data-contrast="none"><span>POpulation</span></span><span xml:lang="EN-US" data-contrast="none"><span> </span></span><span xml:lang="EN-US" data-contrast="none"><span>DYnamic</span></span><span xml:lang="EN-US" data-contrast="none"><span> Modeling framework. Currently, there is one zooplankton and 6 micronekton functional groups defined according to their vertical behavior and development times. The model is global and spatially explicit with transport described through a system of advection-diffusion equations. The vertical dimension is simplified into three layers -- epipelagic, upper and lower mesopelagic -- defined relatively to the euphotic depth. There are three vertically migrant and three non-migrant functional groups. The model is parsimonious with only a few parameters (6 for the zooplankton and 11 for the micronekton) that control the energy transfer efficiency from the primary production and the mortality and time of development that are linked to the water temperature. A data assimilation framework has been implemented to estimate those parameters.  We present briefly the latest results and future challenges of this model. They include the validation of vertical layer boundaries, the first zooplankton and micronekton parameters estimation using existing biomass observations, and the developments needed to use large global datasets of acoustic data.</span></span><span> </span></p>


Author(s):  
Beata Jakubiec

In the paper the use of process models and computer simulation as the tools which facilitates students to learn the conditions of the industrial processes control has been presented. Such approach enables to familiarise with operation and programming of controllers of industrial process. Moreover, it also enables safe testing of control algorithms provided by logic controllers through their implementation at the real industrial facility.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Min-Ying Li ◽  
Kang-Di Lu ◽  
Yu-Xing Dai ◽  
Guo-Qiang Zeng

As the actuator faults in an industrial process cause damage or performance deterioration, the design issue of an optimal controller against these failures is of great importance. In this paper, a fractional-order predictive functional control method based on population extremal optimization is proposed to maintain the control performance against partial actuator failures. The proposed control strategy consists of two key ideas. The first one is the application of fractional-order calculus into the cost function of predictive functional control. Since the knowledge of analytical parameters including the prediction horizon, fractional-order parameter, and smoothing factor in fractional-order predictive functional control is not known, population extremal optimization is employed as the second key technique to search for these parameters. The effectiveness of the proposed controller is examined on two industrial processes, e.g., injection modeling batch process and process flow of coke furnace under constant faults, time-varying faults, and nonrepetitive unknown disturbance. The comprehensive simulation results demonstrate the performance of the proposed control method by comparing with a recently developed predictive functional control, genetic algorithm, and particle swarm optimization-based versions in terms of four performance indices.


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