Monitoring of Biomass-Based Heat Production System

Jana Mižáková

doi:10.4028/www.scientific.net/AMM.616.143

Paper Titles

Using Atomic Spectrometry and Volumetry Method for Determination of Bearing Corrosion in Tribotechnical Diagnostics of Engines
p.110

Determination of the Suitability of the Method Used for Evaluation Measurement Equipment Capability
p.118

Ensuring the Reliability of an Aircraft Engine Hydraulic System
p.126

Loops Control Structure and Solar System Control of a Multivalent Laboratory under Real-Time Mode
p.135

Monitoring of Biomass-Based Heat Production System
p.143

Impact of Lubrication Interval to Operating Status of Bearing
p.151

Analysis of Technological Head Working Pressure, Tilt Angle and Shift Impact to its Vibrations Using AWJ Technology
p.159

New Methods of Obtaining Input Data of Numerical Computations by Using Heat Treatment Simulator
p.167

Technological Head Tilt Angle Influence Analysis to Generation of Vibration during Ceramics Material Machining by Means of AWJ Technology
p.175

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 616Monitoring of Biomass-Based Heat Production System

Monitoring of Biomass-Based Heat Production System

Abstract:

The paper deals with monitoring of operational parameters of heat production in biomass combustion boilers. There is presented software for on-line combustion process monitoring with other possibilities: creation of analyses, reports and statistical evaluations of monitored parameters.

You might also be interested in these eBooks

Operation and Diagnostics of Machines and Production Systems Operational States II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 616)

Pages:

143-150

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.616.143

Citation:

Cite this paper

Online since:

August 2014

Authors:

Jana Mižáková*

Keywords:

Biomass Combustion, CO Concentration, Control System, Monitoring

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] V. Plaček, B. Šulc, S. Vrána, J. Hrdlička, J. Piteľ, Investigation in control of small-scale biomass boilers, in: Proc. of 12th Int. Carpatian Control Conference ICCC 2011, IEEE, 2011, p.312–315.

DOI: 10.3182/20110828-6-it-1002.01968

Google Scholar

[2] M. Rimár, P. Skok, M. Vaľko, J. Mižák, Ratio of primary and secondary air and its influence on the quality of wood chips combustion (Pomer primárneho a sekundárneho vzduchu a jeho vplyv na kvalitu spaľovania drevnej štiepky), Strojárstvo extra 16/5 (2012).

Google Scholar

[3] P. Skok, M. Rimár, J. Mižák, Woodchip combustion process quality and the amount of combustion air, Applied Mechanics and Materials 308 (2013) 115-119.

DOI: 10.4028/www.scientific.net/amm.308.115

Google Scholar

[4] J. Mižák, J. Piteľ, Lambda probe and its using for combustion process control, Strojárstvo extra 5 (2011) 19/1-19/3.

Google Scholar

[5] J. Piteľ, J. Mižáková, A. Hošovský, Biomass Combustion Control and Stabilization Using Low-Cost Sensors, Advances in Mechanical Engineering 2013, No. ID 685157 (2013) 1-7.

DOI: 10.1155/2013/685157

Google Scholar

[6] J. Piteľ, J. Mižák, Cost effective biomass combustion process control, in: Proc. of 8th Conf. on Power Plant and Power System Control PPPSC 2012, Toulouse: IFAC, 2012, pp.1-5.

DOI: 10.3182/20120902-4-fr-2032.00108

Google Scholar

[7] P. Skok, M. Rimár, Optimisation of natural gas combustion by means of exhaust gas analyser, in: Operation and Diagnostics of Machines and Production Systems Operational States, Scientific Papers, Vol. 3, Lüdenscheid: RAM-Verlag, 2010, pp.89-98.

Google Scholar

[8] J. Mižáková, J. Mižák, J. Piteľ, Monitoring of operating conditions of biomass combustion process, Applied Mechanics and Materials 308 (2013) 153-158.

DOI: 10.4028/www.scientific.net/amm.308.153

Google Scholar

[9] J. Piteľ, J. Mižák, Computational Intelligence and Low Cost Sensors in Biomass Combustion Process, in: Proc. of 2013 IEEE Symposium Series on Computational Intelligence (SSCI): 16-19 April 2013, Singapore. Singapore: IEEE, 2013, pp.165-168.

DOI: 10.1109/cica.2013.6611681

Google Scholar

[10] A. Hošovský, Genetic optimization of neural networks structure for modeling of biomass-fired boiler emissions, Journal of Applied Science in Thermodynamics and Fluid Mechanics 9/2 (2011) 1-6.

Google Scholar

[11] S. Hrehová, A. Hošovský, The possibilities of using some Matlab toolboxes to analyze of experimental data, in: Proc. of Int. Congress on Engineering and Technology ICET 2013: 25th - 27th June 2013, Dubrovnik, Croatia. Prague: RISE Association, 2013, pp.61-67.

Google Scholar