Designing, engineering and establishing predictive emission monitoring system for power plants

Nazari Kudahi, Saeed; Mahmoodi, Saeed; Alaei, Mahsa; Ahmadi, Orod; Sohrabi Kashani, Amir; Paydar, Ramin; Pourmoghaddam, Peyman; Fakhri, Ramin; Kokabpeyk, Arash

Designing, engineering and establishing predictive emission monitoring system for power plants

Document Type : Original Article

Authors

Saeed Nazari Kudahi ¹

Saeed Mahmoodi ²

Mahsa Alaei ²

Orod Ahmadi ³

Amir Sohrabi Kashani ⁴

Ramin Paydar ⁵

Peyman Pourmoghaddam ⁵

Ramin Fakhri ⁶

Arash Kokabpeyk ⁷

¹ Member of Faculty in environment department of Niroo Research Institute

² Research Staff of Electronic and Instrument Group, Niroo Research Institute, Tehran, Iran.

³ Faculty member of Kharazmi University, Tehran, Iran.

⁴ Research Staff of Environment Research Group, Niroo Research Institute, Tehran, Iran

⁵ Research Staff of Environment Research Group, Niroo Research Institute, Tehran, Iran.

⁶ Research Staff of Power Plant Monitoring and Control Group,Niroo Research Institute,Tehran, Iran.

⁷ Staff of Environment Research Group, Niroo Research Institute, Tehran, Iran.

Abstract

The project entitled "designing, engineering and establishing predictive emission monitoring system for power plants (PEMs)" was described and accomplished by energy and environment research center of Niroo Research Institute. The literature review related to Predictive Emission Monitoring system, designing and engineering of PEMs for power plants, implementation of PEMs for power plants, installation of PEMs for power plants, operation of Predictive Emission Monitoring system for power plants and the performance report of PEMs for power plants were the steps of this project. The predictive emission monitoring of the flue gas components at the selected steam power plant including, NO،SO2،CO,CO2,O2 was modeled and estimated. According to the results of this project it was found that the relative error of of the flue gas components except CO was fewer than 10% in comparison with the measured values. The uncertainty of estimation for Predictive Emission Monitoring system was calculated to be ±4% of measured value.

Keywords

“Continuous emission monitoring systems”

“Predictive Emission Monitoring Systems”

“Flue Gas Analysis”

“Steam Power Plant”