An AHP Application for Solar Power Systems Selection

Che Wei Chang; Hao En Chueh; Hsin Lin

doi:10.4028/www.scientific.net/AMR.314-316.2112

Paper Titles

Kinematic Analysis and Optimum Design of Double Wishbone Independent Suspension Based on Adams\View
p.2091

Study on Technology of Suffocated Polystyrene Spheres with Bigger Particle Size
p.2096

Design and Analysis on Greedy Algorithm Based on Distribution Center Location
p.2100

Managing Change in Lean Manufacturing Implementation
p.2105

An AHP Application for Solar Power Systems Selection
p.2112

Modeling Analysis and Simulation Control Mechanism of Resource Ability Occupation
p.2116

Optimal Co-Design of Control Algorithm and Bandwidth Scheduling for Networked Control Systems
p.2124

A Rough Set Based Knowledge Discovery Model and its Application in Virtual Assembly
p.2132

Research on the Weight Control Technique in the Manufacturing of Offshore Engineering Structure
p.2140

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316An AHP Application for Solar Power Systems...

An AHP Application for Solar Power Systems Selection

Abstract:

Last few years, global warming is a growing problem, and green-energy becoming popular, thus the solar power system more important. In this paper, we use the Analytical Hierarchy Process (AHP) model to help company choose suitable solar power systems.

You might also be interested in these eBooks

Solar Energy: Engineering of Solar Energy Systems

View Preview

Advanced Manufacturing Technology, ADME 2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

2112-2115

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.314-316.2112

Citation:

Cite this paper

Online since:

August 2011

Authors:

Che Wei Chang, Hao En Chueh, Hsin Lin

Keywords:

Analysis Hierarchy Process (AHP), Solar Power Systems

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Bruce Vincent in: The state of the industry-Trends, plans and policies. Grant Thornton LLP Survey of Upstream U.S. Energy Companies (2010)

Google Scholar

[2] Saaty, T. L. in: How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. (1990)

DOI: 10.1016/0377-2217(90)90057-i

Google Scholar

[3] Hwang, H. S. in: Web-based multi-attribute analysis model for engineering project evaluation. Computers and Industrial Engineering, 46(4), 669-678. (2004)

DOI: 10.1016/j.cie.2004.05.016

Google Scholar

[4] Yurdakul, M. in: AHP as a strategic decision-marking tool to justify machine tool selection. Journal of Materials Processing Technology, 146(3), 365-376. (2004)

DOI: 10.1016/j.jmatprotec.2003.11.026

Google Scholar

[5] Vaidya, O.S., Kumar, S., in Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1-29. (2006)

DOI: 10.1016/j.ejor.2004.04.028

Google Scholar

[6] Che-Wei Chang, Cheng-Ru Wu, Chin-Tsai Lin and Huang-Chu Chen, in: An Application of AHP and Sensitivity Analysis for Selecting the Best Slicing Machines. Computers & Industrial Engineering, vol. 52, no. 3, pp.296-307. (2007)

DOI: 10.1016/j.cie.2006.11.006

Google Scholar

[7] Saaty, T. L. in The analytic hierarchy process. New York: McGraw Hill. (1980)

Google Scholar

[8] Saaty, T. L. in: Fundamentals of decision making and priority theory with the Analytic Hierarchy Process Vol. VI of the AHP series. (2000)

Google Scholar