Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization

被引：38

作者：

Baruque, Bruno ^{[1
]}

Porras, Santiago ^{[2
]}

Jove, Esteban ^{[3
]}

Luis Calvo-Rolle, Jose ^{[3
]}

机构：

[1] Univ Burgos, Dept Ingn Civil, C Francisco de Vitoria S-N, Burgos 09006, Spain

[2] Univ Burgos, Dept Econ Aplicada, Plaza Infanta Dona Elena S-N, Burgos 09001, Spain

[3] Univ A Coruna, Dept Ind Engn, Avda 19 Febrero S-N, Ferrol 15405, A Coruna, Spain

来源：

ENERGY | 2019年 / 171卷

关键词：

Time series modeling; TDNN; ARIMA; Ridge regression; Decision trees; MLP; ARTIFICIAL NEURAL-NETWORKS; RIDGE-REGRESSION; PERFORMANCE; SYSTEMS; TEMPERATURE; CONSUMPTION;

D O I：

10.1016/j.energy.2018.12.207

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In recent years, the use of renewable energies has been promoted in most of developed countries due to the climate change threat. In this scenario, the importance of geothermal installations has increased. This paper focuses on a heat exchanger present on a geothermal installation. The main aim is to achieve an accurate prediction system using the previous readings of some of the sensors located along the heat exchanger. Different time series modeling techniques were applied obtaining satisfactory results in the prediction of the heat exchanger state during one year. This prediction is made 1 h, 3 h and 6 h in advance. Also, a strong correlation between the sensor readings is concluded, offering the possibility to dispense some of them. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：49 / 60

页数：12

共 50 条

[1]

[Anonymous], 2004, Discriminant Analysis and Statistical Pattern Recognition

[2]

Baca Ruiz LG, 2016, ENERGIES, P9

[3]

Box G.E.P., 2015, TIME SERIES ANAL FOR

[4]

Burtiev R, 2013, TIME SERIES ANAL WIN, P12

[5] Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model [J].

Cadenas, Erasmo ;

Rivera, Wilfrido ;

Campos-Amezcua, Rafael ;

Heard, Christopher .

ENERGIES, 2016, 9 (02)

[6] Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal [J].

Casteleiro-Roca, Jose-Luis ;

Jove, Esteban ;

Gonzalez-Cava, Jose M. ;

Mendez Perez, Juan Albino ;

Calvo-Rolle, Jose Luis ;

Blanco Alvarez, Francisco .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (05) :1249-1258

[7]

Dickson M.H., 2013, GEOTHERMAL ENERGY UT

[8]

E. C. (EC), 2010, COM20102020 EC

[9]

Emanuel KA, 1999, J ATMOS SCI, V56, P1766, DOI 10.1175/1520-0469(1999)056<1766:DAEOAC>2.0.CO

[10]

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