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The Mass Balance Reconciliation Theory
1. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
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The Mass Balance Reconciliation Theory- in Brief
2. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
Trust Technical ServicesTheory of Mass Balance Reconciliation
Single-component balance
• Examples: * mass balancing
*energy balancing
*utility NW
100
1
2
40 29
58
12
D 1 = -2 D 1 = + 1
balance difference D 2= - 2
3. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
Trust Technical ServicesMaterial Balancing Theory
1
3 4
2
f (x , y , c) = 0
constant
F1-(F2+F3)=0
F3-F4=0
F3 is unmeasured
F4 is observable
4. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
Trust Technical ServicesReconciliation Equations
xi
+ = xi + ei
Measured value is xi
Reconciled value is xi
+
e = measurement error
e is characterised by
standard deviation s
5. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
Trust Technical Services
measured
unmeasured
7
4
6
531
2
flows
1,2,3 measured redundant
4 measured non-redundant
7 unmeasured observable
5,6 unmeasured non-observable
Redundancy & Observability
6. Copyright: This material is owned by TRUST Technical Services LLC
In UAE. Any reproduction, usage or copy of the same shall be approved and permitted by the Owner.
Trust Technical ServicesLeast Square Error Minimization
For redundant systems:
f (x+, y, c) 0
Solution: Xi=Reconciled value
X+= Measured
value
f (x, y, c) = 0
and
least sq error minimization formula
xi - reconciled values
min
2
i i
i xx
s
s Standard deviation