Gas Turbine CO and NOx Emission Data Set
Donated on 11/28/2019
The dataset contains 36733 instances of 11 sensor measures aggregated over one hour, from a gas turbine located in Turkey for the purpose of studying flue gas emissions, namely CO and NOx.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression, Clustering
Feature Type
Real
# Instances
36733
# Features
12
Dataset Information
Additional Information
The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine located in Turkey's north western region for the purpose of studying flue gas emissions, namely CO and NOx (NO + NO2). The data comes from the same power plant as the dataset (http://archive.ics.uci.edu/ml/datasets/Combined+Cycle+Power+Plant) used for predicting hourly net energy yield. By contrast, this data is collected in another data range (01.01.2011 - 31.12.2015), includes gas turbine parameters (such as Turbine Inlet Temperature and Compressor Discharge pressure) in addition to the ambient variables. Note that the dates are not given in the instances but the data are sorted in chronological order. See the attribute information and relevant paper for details. Kindly follow the protocol mentioned in the paper (using the first three years' data for training/ cross-validation and the last two for testing) for reproducibility and comparability of works. The dataset can be well used for predicting turbine energy yield (TEY) using ambient variables as features.
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
---|---|---|---|---|---|
year | Feature | Integer | no | ||
AT | Feature | Continuous | no | ||
AP | Feature | Continuous | no | ||
AH | Feature | Continuous | no | ||
AFDP | Feature | Continuous | no | ||
GTEP | Feature | Continuous | no | ||
TIT | Feature | Continuous | no | ||
TAT | Feature | Continuous | no | ||
TEY | Feature | Continuous | no | ||
CDP | Feature | Continuous | no |
0 to 10 of 12
Additional Variable Information
The explanations of sensor measurements and their brief statistics are given below. Variable (Abbr.) Unit Min Max Mean Ambient temperature (AT) C –6.23 37.10 17.71 Ambient pressure (AP) mbar 985.85 1036.56 1013.07 Ambient humidity (AH) (%) 24.08 100.20 77.87 Air filter difference pressure (AFDP) mbar 2.09 7.61 3.93 Gas turbine exhaust pressure (GTEP) mbar 17.70 40.72 25.56 Turbine inlet temperature (TIT) C 1000.85 1100.89 1081.43 Turbine after temperature (TAT) C 511.04 550.61 546.16 Compressor discharge pressure (CDP) mbar 9.85 15.16 12.06 Turbine energy yield (TEY) MWH 100.02 179.50 133.51 Carbon monoxide (CO) mg/m3 0.00 44.10 2.37 Nitrogen oxides (NOx) mg/m3 25.90 119.91 65.29
Dataset Files
File | Size |
---|---|
gt_2012.csv | 564.1 KB |
gt_2011.csv | 549.7 KB |
gt_2015.csv | 543.9 KB |
gt_2014.csv | 528.3 KB |
gt_2013.csv | 527.7 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset gas_turbine_co_and_nox_emission_data_set = fetch_ucirepo(id=551) # data (as pandas dataframes) X = gas_turbine_co_and_nox_emission_data_set.data.features y = gas_turbine_co_and_nox_emission_data_set.data.targets # metadata print(gas_turbine_co_and_nox_emission_data_set.metadata) # variable information print(gas_turbine_co_and_nox_emission_data_set.variables)
Gas Turbine CO and NOx Emission Data Set [Dataset]. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C5WC95.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.