Szczegóły publikacji
Opis bibliograficzny
A feedwater heater model intended for model-based diagnostics of power plant installations / Tomasz BARSZCZ, Piotr CZOP // Applied Thermal Engineering ; ISSN 1359-4311. — 2011 — vol. 31 iss. 8–9, s. 1357–1367. — Bibliogr. s. 1366–1367, Abstr. — Publikacja dostępna online od: 2019-12-17
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 62488 |
|---|---|
| Data dodania do BaDAP | 2011-11-29 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.applthermaleng.2010.12.012 |
| Rok publikacji | 2011 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Applied Thermal Engineering |
Abstract
Work related to the first-principle modeling of a feedwater heater operating in a coal-fired power unit is presented, along with theoretical discussion concerning its structural simplifications, parameter estimation, and dynamical validation. The objectives of this work are as follows: (i) formulate and deploy a moderately complex first-principle model of a feedwater heater to reproduce operational measurements in real-time simulations, (ii) develop a tuning method for this model, (iii) propose key indicators of heater performance using a model-based approach, and finally (iv) automate the calculation process of the indicators. A feedwater heater model is the main contributor to the performance of the entire simulation model of a power unit. In this work, the development process of such a model is presented, including necessary simplifications for improving its performance and functionality. As a result of the proposed simplifications, performance which allows operational data to be tracked by means of continuously updating model parameters in real-time mode was achieved on a regular PC workstation for a series of six low- and high-pressure heaters. The model variables (e.g. variability of the power rate of energy exchange) and estimated parameter values were used to formulate key performance indicators intended for a model-based diagnostics approach. Validation was successfully performed using operational data from a 225 MW coal-fired power unit.
