Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants
Samo za registrovane korisnike
2017
Konferencijski prilog (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
There is a growing demand for inexpensive and efficient gas sensors which have important applications in various areas including industrial safety and emission monitoring in coal fired and lignite based thermal power plants. Various air polluting and hazardous gases are emitted from power plants (Hydrogen (H2), Nitrogen Dioxide (NO2), Chlorine (Cl2), Carbon Dioxide (CO2), Sulfur Dioxide (SO2), etc). The main goal of this work is to study suitability of use of thermopile based MEMS sensors in systems for gas emission monitoring in thermal power plants using self-developed 1D analytical model.
Ključne reči:
thermopile / SOI / power plants / modelling / gas sensorsIzvor:
Proceedings of the International Semiconductor Conference, CAS, 2017, 2017-October, 109-112Izdavač:
- Institute of Electrical and Electronics Engineers Inc.
Institucija/grupa
Fakultet informacionih tehnologijaTY - CONF AU - Ranđelović, D.V. AU - Jaksić, O. AU - Poljak, Predrag PY - 2017 UR - https://redun.educons.edu.rs/handle/123456789/308 AB - There is a growing demand for inexpensive and efficient gas sensors which have important applications in various areas including industrial safety and emission monitoring in coal fired and lignite based thermal power plants. Various air polluting and hazardous gases are emitted from power plants (Hydrogen (H2), Nitrogen Dioxide (NO2), Chlorine (Cl2), Carbon Dioxide (CO2), Sulfur Dioxide (SO2), etc). The main goal of this work is to study suitability of use of thermopile based MEMS sensors in systems for gas emission monitoring in thermal power plants using self-developed 1D analytical model. PB - Institute of Electrical and Electronics Engineers Inc. C3 - Proceedings of the International Semiconductor Conference, CAS T1 - Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants EP - 112 SP - 109 VL - 2017-October DO - 10.1109/SMICND.2017.8101170 UR - conv_1178 ER -
@conference{ author = "Ranđelović, D.V. and Jaksić, O. and Poljak, Predrag", year = "2017", abstract = "There is a growing demand for inexpensive and efficient gas sensors which have important applications in various areas including industrial safety and emission monitoring in coal fired and lignite based thermal power plants. Various air polluting and hazardous gases are emitted from power plants (Hydrogen (H2), Nitrogen Dioxide (NO2), Chlorine (Cl2), Carbon Dioxide (CO2), Sulfur Dioxide (SO2), etc). The main goal of this work is to study suitability of use of thermopile based MEMS sensors in systems for gas emission monitoring in thermal power plants using self-developed 1D analytical model.", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "Proceedings of the International Semiconductor Conference, CAS", title = "Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants", pages = "112-109", volume = "2017-October", doi = "10.1109/SMICND.2017.8101170", url = "conv_1178" }
Ranđelović, D.V., Jaksić, O.,& Poljak, P.. (2017). Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants. in Proceedings of the International Semiconductor Conference, CAS Institute of Electrical and Electronics Engineers Inc.., 2017-October, 109-112. https://doi.org/10.1109/SMICND.2017.8101170 conv_1178
Ranđelović D, Jaksić O, Poljak P. Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants. in Proceedings of the International Semiconductor Conference, CAS. 2017;2017-October:109-112. doi:10.1109/SMICND.2017.8101170 conv_1178 .
Ranđelović, D.V., Jaksić, O., Poljak, Predrag, "Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants" in Proceedings of the International Semiconductor Conference, CAS, 2017-October (2017):109-112, https://doi.org/10.1109/SMICND.2017.8101170 ., conv_1178 .