Environmental Engineering Reference
In-Depth Information
3.2.5. Data Monitoring and Processing
Data processing is organized with the appropriate definition of the
Sustainability Index . As shown on figure 4 the first step in data processing is
the data normalization with the aim to obtain specific indicators to be
agglomerated in the Sustainability Index. It is assumed that the Sustainability
index [9] is a linear agglomeration function of products between specific
indicators and corresponding weighting coefficients, in the form of additive
convolution. If it will be adapted that each of the specific indicator is weighted
by the respective weighting coefficient. The sum of specific indicator
multiplied with the corresponding weight coefficient will lead to the
Sustainability Index,
Q
(
t
), with the following mathematical formulation
Q t
q
t
nn
n
(1)
where,
ω
n
weighting coefficient for the
n-
th specific indicator
q
n
n
-th criterion for sustainability assessment.
The evaluation of wind energy system as the complex system is the prestigious
goal of modern approach to the validation of the energy system. In this context
it is introduced notion of the Resilience Index as the agglomerated indicator
for the measurement of the wind energy system quality [10]. Resilience Index
is the property of wind energy system based on the assumption that the wind
energy system is a complex system with time change of main system
parameters. Resilience Index presented on figure 5 is graphical presentation of
the sudden Sustainability index change in time and its recovery to the initial
state of the system. The integral value of the Sustainability Index recovery
after sudden change lead to the definition of Resilience Index..
The second step in the data processing is the determination of the
resilience index component corresponding to the sudden change of the specific
indicators. It is anticipated the total Resiliency Index is the sum of the
resiliency index components.
