TY  - JOUR
T1  - Quantitative Causality Analysis for the Diagnosis of Energy Systems
AU  - Usón, Sergio
AU  - Valero, Antonio
AU  - Correas, Luis
PY  - 2009
DA  - March
JF  - International Journal of Thermodynamics
PB  - Uluslararası Uygulamalı Termodinamik Derneği İktisadi İşletmesi
WT  - DergiPark
SN  - 1301-9724
SP  - 9
EP  - 16
VL  - 12
IS  - 1
LA  - en
AB  - The aim of Thermoeconomic diagnosis is to identify malfunctioning components in energy systems and to quantify the impact on fuel consumption caused by each of them. The quantitative causality analysis is a method based on the linearization of the thermodynamic model of the system. The accuracy of the method is demonstrated by quantifying the error produced in the diagnosis of a large amount of points of a real example. Additionally, a formulation to combine this approach with thermoeconomic analysis has been developed. It allows to precisely quantify intrinsic and induced effects. Finally, the method is compared with two diagnosis approaches based on linear regression and neural networks.
KW  - thermoeconomic diagnosis
KW  - malfunctions
KW  - linear regression
KW  - neural networks
UR  - https://dergipark.org.tr/en/pub/ijot/article/76773
L1  - https://dergipark.org.tr/en/download/article-file/65747
ER  -