Predicting CO and NOx emissions from gas turbines: Novel data and a benchmark PEMS

被引：0

作者：

Kaya H. ^{[1
]}

Tüfekci P. ^{[1
]}

Uzun E. ^{[1
]}

机构：

[1] Department of Computer Engineering, Çorlu Faculty of Engineering, Namık Kemal University, Tekirdağ

来源：

Turkish Journal of Electrical Engineering and Computer Sciences | 2019年 / 27卷 / 06期

关键词：

CO; Database; Exhaust emission prediction; Extreme learning machine; Gas turbines; NOx; Predictive emission monitoring systems;

D O I：

10.3906/ELK-1807-87

中图分类号：

学科分类号：

摘要：

Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the availability of appropriate and ecologically valid data. In this paper, we introduce a novel PEMS dataset collected over five years from a gas turbine for the predictive modeling of the CO and NOx emissions. We analyze the data using a recent machine learning paradigm, and present useful insights about emission predictions. Furthermore, we present a benchmark experimental procedure for comparability of future works on the data. © TÜBİTAK

引用

页码：4783 / 4796

页数：13

共 50 条

[31] Quantification of temperature dependence of NOx emissions from road traffic in Norway using air quality modelling and monitoring data
Waersted, Eivind G.
Sundvor, Ingrid
Denby, Bruce R.
Mu, Qing
[J]. ATMOSPHERIC ENVIRONMENT-X, 2022, 13
[32] Prediction and comparative analysis of emissions from gas turbines using random search optimization and different machine learning-based algorithms
Aslan, Emrah
[J]. BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2024, 72 (06)
[33] CO2, NOx and SOx removal from flue gas via microalgae cultivation: A critical review
Yen, Hong-Wei
Ho, Shih-Hsin
Chen, Chun-Yen
Chang, Jo-Shu
[J]. BIOTECHNOLOGY JOURNAL, 2015, 10 (06) : 829 - 839
[34] Real world CO2 and NOx emissions from 149 Euro 5 and 6 diesel, gasoline and hybrid passenger cars
O'Driscoll, Rosalind
Stettler, Marc E. J.
Molden, Nick
Oxley, Tim
ApSimon, Helen M.
[J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 621 : 282 - 290
[35] Optimizing the CO2 capture and removal process to recover energy and CO2 from the flue gas of boilers and gas turbines outlet with considering the techno-economic analysis
Van Nguyen, Nguyen
Pirouzfar, Vahid
Soheilinezhad, Hasti
Su, Chia-Hung
[J]. ENERGY, 2024, 291
[36] Effect of Zirconia on Hydrothermally Synthesized Co3O4/TiO2 Catalyst for NOx Reduction from Engine Emissions
Rehman, Muhammad Habib Ur
Noor, Tayyaba
Iqbal, Naseem
[J]. CATALYSTS, 2020, 10 (02)
[37] Empirical Formula to Predict the NOx Emissions from Coal Power Plant using Lab-Scale and Real-Scale Operating Data
Kim, Gyeong-Min
Jeong, Jong-Won
Jeong, Jae-Seong
Kim, Dong-Yeop
Kim, Seung-Mo
Jeon, Chung-Hwan
[J]. APPLIED SCIENCES-BASEL, 2019, 9 (14):
[38] Survey of strategies to reduce cold-start particulate, CO, NOx,and hydrocarbon emissions from direct-injection spark-ignition engines
Wooldridge, Margaret S.
Singh, Ripudaman
Gutierrez, Luis G.
Clancy, Shannon
[J]. INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 2023, 24 (02) : 456 - 480
[39] Numerical and experimental study of swirl premixed CH4/H2/O2/CO2 flames for controlled-emissions gas turbines
Ali, Asif
Nemitallah, Medhat A.
Abdelhafez, Ahmed
Imteyaz, Binash
Kamal, M. Mustafa
Habib, Mohamed A.
[J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (53) : 29616 - 29629
[40] The Determination the Pollution Emissions of So(2), No-x, Co, Co-2 And O-2 From the Channels of Burnt Gas on Boiler Of 420 T/H - Steam, in the Sight Application Proceeding to Reduce of These
Nedeff, Valentin
macarescu, Bogdan
Mosnegusu, Emilian
Panainte, Mirela
[J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2007, 1 (01) : 25 - 31

← 1 2 3 4 5 →