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Data reconciliation of energy processes
Nováček, Adam ; Kuba, Pavel (referee) ; Touš, Michal (advisor)
This thesis is focused on problem data reconciliation of measurements. The objective of this thesis was reconciled measured value from electric drum dryer to suit exactly to the mathematical model of drying. For solution was used nonlinear data reconciliation with constrained nonlinear optimization. The entire calculation is processed in programme MATLAB and outputs are graphs of reconciled values of measurement on dryer such as inlet and outlet temperature and humidity, differential pressure of exhaust moisture air, weight of laundry, atmospheric pressure and electric supply. Achieved solution can by characterized by an amount of evaporated water. Weight of wet and dry laundry are 27,7 kg a 17,7 kg. The calculated amount of evaporated water from measurements was almost 18,8 kg. With reconciled measurements it was 9,7 kg. Goals of the thesis were found more realistic values.
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Data reconciliation and gross error detection
Nováček, Adam ; Šomplák, Radovan (referee) ; Touš, Michal (advisor)
Operational data are used for control and optimization of a process in industrial and energy plants are used. Data provided from measurement are affected by errors arising from uncertainty of measurement (imprecision of measuring instruments). Data reconciliation provides us more precise variables which give us the opportunity to better optimize and achieve higher economic gains. The objective of this bachelor's thesis was to study the issue of data reconciliation of measurement and gross error detection in measurement variables. This work is divided into two parts. The first part is theoretical, describing measurement errors, solution methods for data reconciliation and statistical tests for gross error detection. The second part is a practical demonstration of data reconciliation on two examples. The results of reconciliation and the solution procedure are included. Complete procedure can be found in the Annex.
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Comparison of selected data collection techniques of quantitative research
Utler, Richard ; Tahal, Radek (advisor) ; Forst, Václav (referee)
The thesis analyses the differences that result from using of specific data collection method, computer assisted telephone interviewing (CATI) and computer assisted personal interviewing (CAPI). The main findings are based on election model built by research agency TNS Aisa for elections to the Chamber of Deputies of the Parliament of the Czech Republic in 2013. The aim of the thesis is to determine whether the chosen method of data collection influences the results of the estimated electoral preferences, to determine in which sociodemographic categories it is happening and whether the differences in the obtained data are related to the ideological orientation of the political parties. The dependence of the results on the data collection method is assessed by the chi-quadrate independence test. Further, through personal interviews with researchers, it is determined at what stage of the research process the data may be distorted and what its possible causes are. The benefit of the thesis is the finding that the chosen method of collection influences the established preferences among voters aged 30-44, university graduates and voters living in Prague. In these groups, the left-hand side ČSSD is preferred more by personal interviewing and right-handed TOP 09 through telephone interviewing. The collection of data itself was evaluated by the most risky phase of the research process, in which possible distortion could occur. While the accuracy of personal interviewing depends largely on the interviewer's personality, the sources of distortion of the telephone inquiry result more from the nature of the use of the phone itself.
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Data reconciliation of energy processes
Nováček, Adam ; Kuba, Pavel (referee) ; Touš, Michal (advisor)
This thesis is focused on problem data reconciliation of measurements. The objective of this thesis was reconciled measured value from electric drum dryer to suit exactly to the mathematical model of drying. For solution was used nonlinear data reconciliation with constrained nonlinear optimization. The entire calculation is processed in programme MATLAB and outputs are graphs of reconciled values of measurement on dryer such as inlet and outlet temperature and humidity, differential pressure of exhaust moisture air, weight of laundry, atmospheric pressure and electric supply. Achieved solution can by characterized by an amount of evaporated water. Weight of wet and dry laundry are 27,7 kg a 17,7 kg. The calculated amount of evaporated water from measurements was almost 18,8 kg. With reconciled measurements it was 9,7 kg. Goals of the thesis were found more realistic values.
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Data reconciliation and gross error detection
Nováček, Adam ; Šomplák, Radovan (referee) ; Touš, Michal (advisor)
Operational data are used for control and optimization of a process in industrial and energy plants are used. Data provided from measurement are affected by errors arising from uncertainty of measurement (imprecision of measuring instruments). Data reconciliation provides us more precise variables which give us the opportunity to better optimize and achieve higher economic gains. The objective of this bachelor's thesis was to study the issue of data reconciliation of measurement and gross error detection in measurement variables. This work is divided into two parts. The first part is theoretical, describing measurement errors, solution methods for data reconciliation and statistical tests for gross error detection. The second part is a practical demonstration of data reconciliation on two examples. The results of reconciliation and the solution procedure are included. Complete procedure can be found in the Annex.
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