Szczegóły publikacji
Opis bibliograficzny
Towards cleaner energy: an innovative model to minimize $NO_{x}$ emissions in chemical looping and $CO_{2}$ capture technologies / J. Krzywański, T. Czakiert, W. NOWAK, T. Shimizu, Waqar Muhammad Ashraf, A. Zylka, K. Grabowska, M. Sosnowski, D. Skrobek, K. SZTEKLER, A. Kijo-Kleczkowska, I. Iliev // Energy ; ISSN 0360-5442. — 2024 — vol. 312 art. no. 133397, s. 1–10. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2024-10-19
Autorzy (12)
- Krzywański Jarosław
- Czakiert Tomasz
- AGHNowak Wojciech Janusz
- Shimizu Tadaaki
- Ashraf Waqar Muhammad
- Zylka Anna
- Grabowska Karolina
- Sosnowski Marcin
- Skrobek Dorian
- AGHSztekler Karol
- Kijo-Kleczkowska Agnieszka
- Iliev Iliya
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 156802 |
|---|---|
| Data dodania do BaDAP | 2024-11-26 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.energy.2024.133397 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Energy |
Abstract
The urgent global challenges of climate change and environmental issues have catalyzed the development of CO2-capture-ready technologies incorporating fluidization, such as fluidized bed (FB) and circulating fluidized bed (CFB) combustion under oxy-fuel conditions, chemical looping combustion (CLC), chemical looping with oxygen uncoupling (CLOU), in-situ gasification chemical looping combustion (iG-CLC), and calcium (or carbonate) looping (CaL) systems. While these technologies have the potential to reduce CO2 emissions significantly, the persistent presence of nitrogen oxides (NOx = NO + NO2) as pollutants remains a critical environmental concern. This paper introduces a comprehensive fuzzy logic-based model for predicting NOx emissions (FuzzyNOx model) from solid fuel combustion in fluidized beds of chemical looping systems. This innovative model takes into account a wide range of operating parameters, including fuel type, fuel particle size, fuel moisture content, air/fuel ratio, and temperature. It also explores advanced coal and biomass combustion modes, including air-firing, oxyfuel, iG-CLC, and CLOU. Furthermore, it delves into the intricacies of two distinct facilities: the 5 kWth dual-fluidized bed Chemical-Looping-Combustion of Solid-Fuels (DFB-CLC-SF) facility at Czestochowa University of Technology, Poland, and the calcium looping dual-fluidized bed (CaL DFB) facility at Niigata University, Japan. Bituminous coal, semi-anthracite, and wood chips are utilized as fuels. Moreover, three various oxygen carriers (OCs) for chemical looping combustion were employed, namely ilmenite, copper oxide (60 % wt.) supported by carbonate waste from ore flotation, and copper oxide (60 % wt.) supported by ilmenite (20 % wt.) and fly ash. Bituminous coal, semi-anthracite, and wood chips are utilized as fuels. The developed knowledge-based fuzzyNOx model allows the optimization of operating parameters to reduce NOx emissions from CO2 capture technologies.
