DEVELOPMENT OF AN AUTOMATED DIAGNOSTICS AND CONTROL SYSTEM FOR BIOGAS COMBUSTION PROCESSES

Oxana  Zhirnova

doi:10.5604/01.3001.0010.7241

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Published: Dec 21, 2017

DOI: https://doi.org/10.5604/01.3001.0010.7241

Issue Vol. 7 No. 4 (2017)

Articles

SELECTED PROBLEMS OF EVALUATION AND CLASSIFICATION OF HISTORICAL BUILDINGS USING ROUGH SETS
Krzysztof Czajkowski

5-10
LABORATORY STAND FOR SMALL WIND TURBINE SIMULATION
Wojciech Matelski, Eugeniusz Łowiec, Stanisław Abramik

11-14
DEVELOPMENT OF AN AUTOMATED DIAGNOSTICS AND CONTROL SYSTEM FOR BIOGAS COMBUSTION PROCESSES
Oxana Zhirnova

15-19
SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD
Tomasz Rymarczyk, Grzegorz Kłosowski

20-23
THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS
Tomasz Rymarczyk, Grzegorz Kłosowski, Tomasz Cieplak

24-27
APPLICABILITY ANALYSIS OF REST AND SOAP WEB SERVICES
Tomasz Zientarski, Marek Miłosz, Marek Kamiński, Maciej Kołodziej

28-31
A REVIEW OF CONTROL METHODS OF WIND TURBINE SYSTEMS WITH PERMANENT MAGNET SYNCHRONOUS GENERATOR
Piotr Gajewski

32-37
DIRECT TORQUE CONTROL OF MULTI-PHASE INDUCTION MOTOR WITH FUZZY LOGIC SPEED CONTROLLER
Jacek Listwan

38-43
IMAGE COMPLETION WITH LOW-RANK MODEL APPROXIMATION METHODS
Tomasz Sadowski, Rafał Zdunek

44-48
APPROXIMATION OF ELECTRIC PROPERTIES OF PERIODIC LAYERED COMPOSITE MATERIALS
Adam Steckiewicz, Bogusław Butryło

49-52
BOOST QUASI-RESONANT CONVERTERS FOR PHOTOVOLTAIC SYSTEM
Michał Harasimczuk

53-56
RESEARCH OF FLOW AROUND SELECTED SENSORS PROFILES FOR METROLOGY FLOWS
Piotr Zgolak

57-61
MAXIMUM SUBARRAY PROBLEM OPTIMIZATION FOR SPECIFIC DATA
Tomasz Rojek

62-65
ANALYSIS OF POWER LOSS IN THE LOW-SPEED PNEUMATIC ENGINE
Adam Ilnicki, Mariusz Rząsa

66-69
APPLICATION OF FUZZY COGNITIVE MAP TO PREDICT OF EFFECTIVENESS OF BIKE SHARING SYSTEMS
Aleksander Jastriebow, Łukasz Kubuś, Katarzyna Poczęta

70-73
FUZZY COGNITIVE MAP AS AN INTELLIGENT RECOMMENDER SYSTEM OF WEBSITE RESOURCES
Aleksander Jastriebow, Łukasz Kubuś, Katarzyna Poczęta

74-78
MODELING OF THE ARTIFICIAL BLOOD CHAMBER AND THE MICROPUMPS PULSATILE DRIVE FOR BLOOD TRANSFUSION
Sebastian Bartel

79-81
CONTROL A SMALL WIND TURBINE WITH ASYNCHRONOUS GENERATOR
Kamil Możdżyński, Tomasz Gajowik, Krzysztof Rafał, Mariusz Malinowski

82-87
MECHANICAL PROPERTIES OF SELECTED EPOXY ADHESIVES
Izabela Miturska, Anna Rudawska

88-91
POLYNOMIAL APPROXIMATION FOR T WAVE PARAMETER RECOGNITION IN ECG PROCESSING
Marcin Maciejewski

92-95
THE IMPACT OF WINDOW FUNCTION ON IDENTIFICATION OF SPEAKER EMOTIONAL STATE
Paweł Powroźnik, Dariusz Czerwiński

96-100
USE OF MULTICRITERIAL OPTIMIZATION IN FURNITURE MANUFACTURING PROCESS
Grzegorz Kłosowski, Edward Kozłowski

101-106
MODEL OF DYNAMIC ELEVATOR CONTROL SYSTEM USING CENTRAL APPLICATION SERVER
Łukasz Furgała, Krzysztof Kolano, Włodzimierz Mosorow

107-112

DOI

https://doi.org/10.5604/01.3001.0010.7241

Authors

Oxana Zhirnova

oxana_fedoseyeva@mail.ru

Kazakh National Research Technical University named after K.I. Satpayev (Satbayev University), Almaty, Republic of Kazakhstan, Kazakhstan

Abstract

The article shows the ecological and economic efficiency of biogas. Depending on the complexity of the tasks, the mathematical model could describe the research process with varying degrees of accuracy. Thus, numerical simulation should be combined with experimental research to compare and assess the validity of the model. Below is presented, a mathematical model of combustion of biogas. Then, based on the results of pilot studies to validate the mathematical model, a numerical simulation of the combustion of biogas. Process for the combustion of biogas is a complex process of their heterogeneous and homogenous combustion. The model of combustion process of extreme management not good can improve energy performance by maintaining the optimum cop value. Proved by simulation model of extreme management efficiency in changing signal assignments, the maintenance efficiency of the boiler is on a level with the specified accuracy.

Keywords:

biogas, mathematical model, distributed system, optimal control, integration, waste, gasification of fuels

References

Bolshakov N.Y.: Process optimization in the aeration tank – septic tank to minimize the discharge of organic and nutrient. Ph.D. Thesis, Sant Peterburg 2005.

Eaton A.M., Smoot L.D., Hill S.C., Eatough C.N.: Components, formulations, solutions, evaluation, and application of comprehensive combustion models. Progress in Energy and Combustion Science 25, 1999, 387–436.

Haseli Y., van Oijen J.A., de Goey L.P.H.: Reduced model for combustion of a smali biomass particie at high operating temeratures. Bioresource Technology 131, 2013, 397–404.

Haseli Y., van Oijen J.A., de Goey L.P.H.: A detailed one-dimensional model of combu¬stion of a woody biomass particie. Bioresource Technology 102, 2011, 9772–9782.

Kvyetnyy Kvyetnyy R.N. et al.: Modification of fractal coding algorithm by a combination of modern technologies and parallel computations. Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161R [doi: 10.1117/12.2229009].

Ławicki T., Zhirnova O.: Application of curvelet transform for denoising of CT images. Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 966226, [doi: 10.1117/12.2205483].

Lu H., Robert W., Peirce G., Ripa B., Baxter L.L.: Comprehensive study of biomass particie combustion. Energy & Fuels 22, 2008, 2826–2839.

Melgar A., Perez J., Laget H., Horillo A.: Thermochemical eąuilibrium modelling of a gasifying process. Energy Conversion and Management 48, 2007, 59–67.

Moskvina S.M. et al.: Evaluation of the impact of uncontrolled parametric perturbations on stability of automatic systems with logical control units. Proc. SPIE 9816, Optical Fibers and Their Applications 2015, 98161X, [doi: 10.1117/12.2229136].

Nikolaev A.N., Bolshakov N.Y., Fetyulina I.A.: Investigation of the effect of age on the efficacy of activated sludge biological defosfotatsii in the aeration tank – secondary settling tank. Water and Environment: Challenges and results 2/2002, 12.

Porteiro Е., et al.: Mathematical modelling of the combustion of a single wood particie. Fuel Processing Technology 87, 2006, 169–175.

Thunman H., et at.: Combustion of wood particles – a particie model for Eulerian calculations. Combustion and Flame 129, 2002, 30–46.

Walters D., Cokljat D.: A three-equation eddy-viscosity model for reynolds-averaged navier-stokes simulations of transitional flows. Journal of Fluids Engineering 130, 2008, 121401:1–14.

Williams A., et al.: Pollutants from the combustion of solid biomass fuels. Progress in Energy and Combustion Science 38, 2012, 113–137.

Wornat M., et al.: Single-particle combustion of two biomass chars. 26th Symposium (Int.) on Combustion, 1996, 3075–3083.

Wójcik W., Zhirnova O.V., Kulakova E.A., Imanbekov B.T.: Development of an automated system diagnostics and management of biogas combustion process. Proceedings of the Second International scientific-practical conference "Information and telecommunication technologies: education, science and practice", Volume II, Almaty, Kazakstan, 2015.

Zhirnova O.V., Kozhamberdieva M.I., Imanbek B.T.: Gasification process for vapor flow, temperature, and raw materials. Proc. of the IV International Conference “Global Science and Innovation”, Chicago, USA, 2015.

Yang Y.B. et al.: Combustion of a single particie of biomass. Energy & Fuels 22, 2008, 306–316.

Zhirnova, O. . (2017). DEVELOPMENT OF AN AUTOMATED DIAGNOSTICS AND CONTROL SYSTEM FOR BIOGAS COMBUSTION PROCESSES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(4), 15–19. https://doi.org/10.5604/01.3001.0010.7241

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