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BITS Pilani Hyderabad Campus MULTIPLE CRITERIA EVALUATION OF WIND ENERGY SYSTEMS Pushkar Kumar Jain, B.E. (Hons.) Mechanical Morapakla Srinivas, Assistant Professor, Department of Mechanical Engineering

ENERGY – A NEED!!

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MULTIPLE CRITERIA EVALUATION OF WIND ENERGY SYSTEMS Pushkar Kumar Jain, B.E. (Hons.) Mechanical Morapakla Srinivas , Assistant Professor, Department of Mechanical Engineering. ENERGY – A NEED!!. Viability. VIABILITY. Site factors. Economic factors. - PowerPoint PPT Presentation

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Page 1: ENERGY – A NEED!!

BITS PilaniHyderabad Campus

MULTIPLE CRITERIA EVALUATION OF

WIND ENERGY SYSTEMS

Pushkar Kumar Jain, B.E. (Hons.) Mechanical

Morapakla Srinivas, Assistant Professor,

Department of Mechanical Engineering

Page 2: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

ENERGY – A NEED!!

Page 3: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

• Viability in simple terms, is the capability

of a project to function, in the desired

manner.

• Mathematically, it is a function of various

mutually exclusive criteria which are to

be taken into account for setting up a

project.

• “Dimension” is defined as a group of

several elements of same category

which have a direct or indirect bearing

on the “viability”

VIABILITY

Site factors

Social factors

Economic factors

Viability

Page 4: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

• 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:

MULTIPLE CRITERIA EVALUATION PROCESS

Page 5: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

• For analysis, the dimensions

considered are - Site factors,

Economic Factors and Social

Factors

• Under each of these categories,

two sub-categories, one to be

maximized and another to be

minimized, are created and the

mutually exclusive sub-critera that

are constructed are grouped

accordingly Economic – Cost and Revenue

Site – Favourable and Restrictions

Social – Favourable and Restrictions

MCE MODEL HIERARCHY

Page 6: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

DEFINITIONS OF FACTORS

Page 7: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

DEVELOPMENT OF INTERFACE

Page 8: ENERGY – A NEED!!

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 in the membership function,

to allot values for different sites are “Very bad”,

“Bad”, “Average”, “Good”, “Very Good0 2.5 3.751.25 5

1

Very GoodGood BadVery Bad Average

Page 9: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

Page 10: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

SIMULINK MODEL

Page 11: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

GRAPHICAL USER INTERFACE DEVELOPED

Page 12: ENERGY – A NEED!!

BITS Pilani, Hyderabad Campus

• 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

CONCLUSION

Page 13: ENERGY – A NEED!!

BITS PilaniHyderabad Campus

THANK YOU!