Download presentation

Presentation is loading. Please wait.

Published byDevon Singley Modified about 1 year ago

1
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

2
BITS Pilani, Hyderabad Campus ENERGY – A NEED!! INCREASING POPULATION INCREASING ENERGY DEMAND NON-RENEWABLE ENERGY USAGE EXPONENTIAL ENVIRONMENTAL HAZARDS Mine & transport burn coal COAL Drill for & transport gas burn gas NATURAL GAS Mine & transport uranium uranium gets hot NUCLEAR POWER Wind Push turbine Couple to generator

3
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

4
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 Use of fuzzy logic to obtain viability The set of mutually exclusive criteria are given succinct and ambiguity-free definitions The factors are grouped under the dimensions and hierarchy is developed Construction of a set of mutually exclusive independent criteria Brainstorming of all the factors that directly or indirectly affect the feasibility of the project

5
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 VIABILITY A A1 A11A12 A13A14 A2 A21A22 B B1 B11B12 B13B14 B15B16 B2 B21B22 B23B24 C C1 C11C12 C2 C21C22

6
BITS Pilani, Hyderabad Campus DEFINITIONS OF FACTORS

7
BITS Pilani, Hyderabad Campus DEVELOPMENT OF INTERFACE Use of Fuzzy Logic Toolbox Integrating SIMULINK Construction of Graphical user interface

8
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 Good Very Good Good BadVery BadAverage

9
BITS Pilani, Hyderabad Campus

10
SIMULINK MODEL

11
BITS Pilani, Hyderabad Campus GRAPHICAL USER INTERFACE DEVELOPED

12
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

13
BITS Pilani Hyderabad Campus THANK YOU!

Similar presentations

© 2016 SlidePlayer.com Inc.

All rights reserved.

Ads by Google