Simulation of performance of thermopile based gas sensors applied for emission monitoring in thermal power plants
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 (H-2), Nitrogen Dioxide (NO2), Chlorine (Cl-2), 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.
Keywords:
gas sensors / modelling / power plants / SOI / thermopileSource:
Proceedings of the International Semiconductor Conference, CAS, 2017, 109-112Publisher:
- Institute of Electrical and Electronics Engineers Inc.
Funding / projects:
- Micro- Nanosystems and Sensors for Electric Power and Process Industry and Environmental Protection (RS-MESTD-Technological Development (TD or TR)-32008)
DOI: 10.1109/SMICND.2017.8101170
ISSN: 1545-827X
WoS: 000425844500021
Scopus: 2-s2.0-85040526007
Collections
Institution/Community
IHTMTY - CONF AU - Randjelović, Danijela AU - Jakšić, Olga AU - Poljak, Predrag PY - 2017 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/2157 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 (H-2), Nitrogen Dioxide (NO2), Chlorine (Cl-2), 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 SP - 109 EP - 112 DO - 10.1109/SMICND.2017.8101170 ER -
@conference{ author = "Randjelović, Danijela and Jakšić, Olga 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 (H-2), Nitrogen Dioxide (NO2), Chlorine (Cl-2), 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 = "109-112", doi = "10.1109/SMICND.2017.8101170" }
Randjelović, D., Jakšić, 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.., 109-112. https://doi.org/10.1109/SMICND.2017.8101170
Randjelović D, Jakšić 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;:109-112. doi:10.1109/SMICND.2017.8101170 .
Randjelović, Danijela, Jakšić, Olga, 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):109-112, https://doi.org/10.1109/SMICND.2017.8101170 . .