- Tytuł:
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Pomiar wybranych parametrów spalania biogazu
Measurement of selected biogas combustion parameters - Autorzy:
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Smolarz, A.
Wójcik, W.
Kotyra, A.
Ballester, J.
Jagiełło, K. - Powiązania:
- https://bibliotekanauki.pl/articles/155083.pdf
- Data publikacji:
- 2010
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
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modelowanie rozmyte
spalanie biomasy
metody optyczne
neuro-fuzzy systems
biomass combustion
optical methods - Opis:
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Wydaje się, że pomimo wzrostu udziału nowych rodzajów źródeł energii, przez następne dekady spalanie różnego rodzaju paliw pozostanie głównym źródłem energii. Niestety, pozostanie ono również największym źródłem zanieczyszczenia atmosfery. Efektywne i czyste spalanie paliw uzyskanych ze zgazowania biomasy lub metanowej fermentacji odpadów napotyka na szereg problemów technicznych. Jednym z nich jest opracowanie nowych konstrukcji palników dla paliw, których właściwości fizykochemiczne mogą istotnie odbiegać od właściwości gazu ziemnego. Jednakże, nawet jeżeli turbina została zaprojektowana do pewnego rodzaju paliwa alternatywnego, konieczny jest stały nadzór, diagnostyka i optymalizacja systemu dla zapewnienia niezawodności jego działania. W artykule opisano jedno z możliwych rozwiązań diagnostyki w czasie rzeczywistym procesu spalania gazowego paliwa alternatywnego polegające na zastosowaniu optycznego monitorowania płomienia i wyznaczaniu emisji NOx i CO za pomocą modeli rozmytych.
It seems that in spite of growing share of other types of energy sources, burning various types of fuels will remain the main source of energy during the next decades. Unfortunately, it also remains the greatest source of atmospheric pollution. On 23 January 2008 the European Commission put forward a far-reaching package of proposals aiming at reducing the overall emissions to at least 20% below 1990 levels by the year 2020, and is ready to scale up this reduction to as much as 30% under a new global climate change agreement when other developed countries make comparable efforts. It has also set itself the target of increasing the share of renewables in energy use to 20% by the year 2020. The latter commitment results in search of new technologies that partially or entirely make use of renewable energy sources. This is also a case of combustion technologies where alternative fuels obtained from renewable sources are used. For example, waste co-combustion can be applied in case of pulverized coal burners, while thermal processing of biomass or waste methanisation can be used in case of gas turbines. The efficient and clean combustion of those fuels requires solving many technical problems. One of them is development of new designs, suitable for these new fuels, whose physical and chemical properties can be very different from those of, e.g., natural gas. In general, alternative fuels are characterised by low to very-low calorific values and by fluctuating properties (among different batches, or along the time in a continuous process). The variability of this type of fuels, can bring the system to off-design operation and cause increased pollutant emissions, lower efficiency or flame stability problems, especially in lean-premixed combustors. Therefore, even after an engine has been adapted for a particular alternative fuel, its permanent supervision and optimisation becomes an issue that should be addressed in order to guarantee the reliability of a practical system. Another reason for pursuit of new methods of combustion process diagnostics are difficulties met in implementation of the lean combustion technology in order to decrease NOx levels. The process operates close to the lean flammability limit what can result in a steep rise of CO, flame instabilities and, eventually, flame blow-out. Although most of the information required (O2, NOx and CO in flue gases) can be readily obtained with gas analysers, extractive sampling involves long response times and does not allow distinguishing among different flames in multi-burner chambers. Hence, techniques for the monitoring of premixed combustors should have a fast response and inform about the state of individual flames. The aim of the work presented is to evaluate one of the possible approaches for the real-time diagnostics of actual state of the combustion process, using optical signals from flame with the use of artificial neural networks and fuzzy logic. The lean-premixed flames were studied, using natural gas and blends that represent arbitrarily selected syngas. - Źródło:
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Pomiary Automatyka Kontrola; 2010, R. 56, nr 6, 6; 555-558
0032-4140 - Pojawia się w:
- Pomiary Automatyka Kontrola
- Dostawca treści:
- Biblioteka Nauki
Artykuł