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
收藏
页码:4783 / 4796
页数:13
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