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or, in scalar form: or ∆F ∆k = ∆F ∆k Thermoeconomic Diagnosis ( ) t ∗ ( K P ) t ( + ⋅ ∆ 〈 KP〉 ) ⋅ P = ∆ K ext n ∑ i = 1 ⎛ n ⎞ ⎜ K ∗ ⎟ ⎜∑P, j ⋅ ∆kji⎟ ⋅ ⎜ ⎟ ⎝j= 0 ⎠ Thermoeconomic diagnosis of an urban heating system based on cogenerative steam and gas turbines 140 (4.42) . (4.43) The total fuel impact associated to the variation of the overall production is so: ∆F ∆P ∆F ∆P = K ∗ P, i ∆Pexti . (4.45) If the free and reference conditions are considered, the total fuel impact is zero, so: . (4.46) 4.7 A procedure for the multiple malfunction detection In a general operation condition a plant can be characterized by more than one anomaly. The procedure shown in the previous paragraph allows to locate only the anomaly associated to the maximum element of the ∆K matrix. In this way the location of all the anomalies passes through the location and the complete removal of every anomaly separately. This means that this procedure must be repeated as many times as the number of malfunctions. Supposing that all the induced effects could be eliminated, the contemporary location of all the anomalies would be possible. In this paragraph a procedure to eliminate the induced effects is proposed. The plant components are each characterized by its own behaviour, so they act differently when the working conditions vary. The effects must be analysed for each one separately. If the productive structure is considered, the characteristic behaviour of a component can be modeled by varying all its resources and determining the corresponding product. The dependence of the product of every component from its fuels can be found if three hypotheses are complied: 1) the known working conditions are linearly independent; 2) the number of known conditions is higher than the fuels of every components; 3) the anomalies are sufficiently low. The procedure for the location of the anomalies, proposed in the previous paragraphes, is based on the use of known working conditions corresponding to different regulations. The same knowledge can be used to eliminate the induced effects from the matrix ∆K. The values of the fuels of a component are assumed equal to the known values in free condition. If the third condition is complied, the product can assumed linearly dependent on its fuels: 0 Pi ∆F ∆P ∗ ( K P ) , (4.44) t = ⋅ ∆Pext n ∑ i = 1 ∆F∆k = ⋅ – ∆F∆P
P i P iref Thermoeconomic Diagnosis j = 1 Pi Ej . (4.47) If the known working conditions are sufficiently close to the reference condition, the derivates can be calculated as: ∆P -------- i . (4.48) ∆Ej Assuming f the number of maximum fuels for every component, at least f working conditions must be available. In these conditions the components do not present any anomalies, so the induced effects can be determined. Figure 4.2 shows the productive structures of a system. The component 3 is characterized by two fuels, so two independent working conditions are required. E1 Figure 4.2 - Productive structure of a general system = 1 + E3 n ∑ d ------- = d Pi Ej d ------- ⋅ ( E d jfree – Ejref) E2 2 The equation 4.47 can be applied to determine the behaviour of the components when the resources change. To achieve this goal each flow, except the overall products, is considered as resource. The product of each component, that would be obtained by varying its resources from the reference condition value to the free condition value, can be determined by means of the following equations: E 5 ∂( E2 + E3) E2 + E3 = ( E2 + E3) + -------------------------- ⋅ ( E ref ∂ 1free – E1ref) = E 4 ( E5) ref = ( E4) ref E5 E2 E4 E3 Thermoeconomic diagnosis of an urban heating system based on cogenerative steam and gas turbines 141 (4.49) (4.50) (4.51) The products calculated in this form approximately take into account the effects induced by the behavior of the components. The procedure is not exact because: 1) A linear behavior is assumed and 2) the derivatives are calculated under specific conditions corresponding to the regulation system, and it is assumed that this induced behavior is similar to the induced effect of the malfunctioning components. E 1 E4 ∂( ) + ------------- ⋅ ( E ∂ 3free – E3ref) ∂( ) ∂( E ------------- 5) + ⋅ ( E ∂ 2free – E2ref) + ------------- ⋅ ( E ∂ 4free – E4ref) E 4 3 E5
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or, in scalar form:<br />
or<br />
∆F ∆k<br />
=<br />
∆F ∆k<br />
Thermoeconomic Diagnosis<br />
( ) t ∗<br />
( K<br />
P ) t ( + ⋅ ∆ 〈 KP〉<br />
) ⋅ P<br />
=<br />
∆ K ext<br />
n<br />
∑<br />
i = 1<br />
⎛ n<br />
⎞<br />
⎜<br />
K<br />
∗ ⎟<br />
⎜∑P, j ⋅ ∆kji⎟<br />
⋅<br />
⎜ ⎟<br />
⎝j= 0 ⎠<br />
Thermoeconomic diagnosis of an urban heating system based on cogenerative steam and gas turbines 140<br />
(4.42)<br />
. (4.43)<br />
The total fuel impact associated to the variation of the overall production is so:<br />
∆F ∆P<br />
∆F ∆P<br />
=<br />
K<br />
∗<br />
P, i ∆Pexti . (4.45)<br />
If the free and reference conditions are considered, the total fuel impact is zero, so:<br />
. (4.46)<br />
4.7 A procedure for the multiple malfunction detection<br />
In a general operation condition a plant can be characterized by more than one anomaly.<br />
The procedure shown in the previous paragraph allows to locate only the anomaly associated<br />
to the maximum element of the ∆K matrix. In this way the location of all the anomalies passes<br />
through the location and the complete removal of every anomaly separately. This means that<br />
this procedure must be repeated as many times as the number of malfunctions.<br />
Supposing that all the induced effects could be eliminated, the contemporary location of all<br />
the anomalies would be possible. In this paragraph a procedure to eliminate the induced<br />
effects is proposed.<br />
The plant components are each characterized by its own behaviour, so they act differently<br />
when the working conditions vary. The effects must be analysed for each one separately. If<br />
the productive structure is considered, the characteristic behaviour of a component can be<br />
modeled by varying all its resources and determining the corresponding product.<br />
The dependence of the product of every component from its fuels can be found if three<br />
hypotheses are complied:<br />
1) the known working conditions are linearly independent;<br />
2) the number of known conditions is higher than the fuels of every components;<br />
3) the anomalies are sufficiently low.<br />
The procedure for the location of the anomalies, proposed in the previous paragraphes, is<br />
based on the use of known working conditions corresponding to different regulations. The<br />
same knowledge can be used to eliminate the induced effects from the matrix ∆K. The values<br />
of the fuels of a component are assumed equal to the known values in free condition. If the<br />
third condition is complied, the product can assumed linearly dependent on its fuels:<br />
0<br />
Pi ∆F ∆P<br />
∗<br />
( K<br />
P ) , (4.44)<br />
t = ⋅ ∆Pext n<br />
∑<br />
i = 1<br />
∆F∆k =<br />
⋅<br />
– ∆F∆P