MULTIPLE CRITERIA EVALUATION OF WIND
ENERGY SYSTEMS
Pushkar Kumar Jain, B.E. (Hons.) Mechanical
BITS Pilani
Hyderabad Campus
Morapakla Srinivas, Assistant Professor, Department
of Mechanical Engineering
ENERGY – A NEED!!
INCREASING
POPULATION
COAL
INCREASING ENERGY
DEMAND
• Mine & transport  burn
coal
NATURAL
GAS
• Drill for & transport gas 
burn gas
NUCLEAR
POWER
• Mine & transport uranium
 uranium gets hot
NON-RENEWABLE
ENERGY USAGE
EXPONENTIAL
ENVIRONMENTAL
HAZARDS
Wind
Push
turbine
Couple to
generator
BITS Pilani, Hyderabad Campus
VIABILITY
• Viability in simple terms, is the capability
of a project to function, in the desired
Viability
manner.
• Mathematically, it is a function of various
mutually exclusive criteria which are to
be taken into account for setting up a
Site
factors
Economic
factors
project.
• “Dimension” is defined as a group of
several elements of same category
Social
factors
which have a direct or indirect bearing
on the “viability”
BITS Pilani, Hyderabad Campus
MULTIPLE CRITERIA EVALUATION
PROCESS
•
The viability of a wind energy system at a particular place is a function of multiple
factors that may be mutually dependent and so it is a multiple criteria problem
•
Proposed MCE technique - divided into five stages:
Brainstorming of all the factors that directly or indirectly affect the feasibility of the project
Construction of a set of mutually exclusive independent criteria
The factors are grouped under the dimensions and hierarchy is developed
The set of mutually exclusive criteria are given succinct and ambiguity-free definitions
Use of fuzzy logic to obtain viability
BITS Pilani, Hyderabad Campus
MCE MODEL HIERARCHY
•
For
analysis,
considered
Economic
are
the
dimensions
- Site
Factors
factors,
and
VIABILITY
Social
A
Factors
•
A1
Under each of these categories,
two sub-categories, one to be
maximized and another to be
B
A2
A11
A12
A13
A14
A21
B1
A22
minimized, are created and the
B2
B11
B12
B21
B22
B13
B14
B23
B24
B15
B16
C
mutually exclusive sub-critera that
are
constructed
are
C1
grouped
accordingly

Economic – Cost and Revenue

Site – Favourable and Restrictions

Social – Favourable and Restrictions
C11
C2
C12
C21
C22
BITS Pilani, Hyderabad Campus
DEFINITIONS OF FACTORS
BITS Pilani, Hyderabad Campus
DEVELOPMENT OF INTERFACE
Use of Fuzzy
Logic Toolbox
Integrating
SIMULINK
Construction of
Graphical user
interface
BITS Pilani, Hyderabad Campus
The following points will be used:
(1)
AND method: min
(2)
OR method: max
(3)
Implication: AND
(4)
Aggregation: max
(5)
Defuzzification: Centroid
(6)
FIS Type: Mamdani.
(7)
Symmetric triangular membership function
and a five point scale
(8)
Expressions
used
1
in
the
membership
Very Bad
Bad
Average
Good
Very Good
function, to allot values for different sites are
“Very bad”, “Bad”, “Average”, “Good”, “Very
0
1.25
2.5
3.75
5
Good
BITS Pilani, Hyderabad Campus
BITS Pilani, Hyderabad Campus
SIMULINK MODEL
BITS Pilani, Hyderabad Campus
GRAPHICAL USER INTERFACE
DEVELOPED
BITS Pilani, Hyderabad Campus
CONCLUSION
• Selection of wind energy site is a multiple criteria problem,
solved by MCDM technique namely Fuzzy Logic
• Multiple criteria decision making problem can be formulated
into a hierarchial model for analysis.
• Same methodology can serve for any number of dimensions
• “Viability” when found out for various sites, serves as a gauge
for comparison and preference
BITS Pilani, Hyderabad Campus
BITS Pilani
Hyderabad Campus
THANK YOU!