A Hierarchy Grey Relational Analysis for Selecting the Renewable Electricity Generation Technologies

نویسندگان

  • Ahmet Sarucan
  • M. Emin Baysal
  • Cengiz Kahraman
  • Orhan Engin
چکیده

Energy resources are classified as renewable and non-renewable in general. Non renewable energy resources have been exhausted gradually. Renewable energy resources such as wind power, hydropower, geothermal power, solar power and photovoltaic power have importance more than ever before. But, researchers are looking for selections of renewable electricity generation as it is a technological problem. This problem is a multi-criteria decision making problem. One of the solution methods for this problem is a combination of the analytic hierarchy process (AHP) and the grey relational analysis (GRA). Hierarchical GRA method is based on grey system theory. In this study, a new approach to the selection of renewable electricity generation is prepared using multi-criteria decision making method. The hierarchical GRA frame work uses three criteria and sub-criteria from which it possible to evaluate to different renewable electricity generation technologies. This application is a novel approach for the selection of renewable electricity generation technologies.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Economic, Social and Environmental Assessment of Electricity Generation from Renewable and Gas Technologies

Growing demand for electricity and the reduction of fossil fuels have made it essential to consider alternative and renewable energy sources, such as solar and wind, to generate electricity. In this paper, by computing levelized output energy cost and levelized cost of electricity, the prices of electricity generated from the different combined cycle, wind, and photovoltaic power plants are com...

متن کامل

Modeling and development of a decision support system for supplier selection in the process industry

This paper presents the development of a model based decision support system with a case study on solving the supplier selection problem in a chemical processing industry. For the evaluation and selection of supplier, the analytical hierarchy process (AHP) and grey relational analysis (GRA) were used. The intention of the study is to propose an appropriate platform for process industries in ...

متن کامل

Prediction of Renewable Energy Production Using Grey Systems Theory

Due to the reduction of renewable energy resources such as fossil fuels, the energy crisis is one of the most critical issues in today’s world. The application of these resources brings about many environmentalpollutionsthatleadtoglobalwarming. Therefore,variouscountrieshaveattemptedto reducepotentialdamageanduserenewableenergiesbytheintroductionandpromotionofrenewable energies as an essential ...

متن کامل

Assessment of Wind Energy Use to Store the Water for Generation Power with Two Stage Optimization Method

In recent years, energy predicament and environmental problems in the world caused by fossil fuels combustion make us to pay serious attention to optimizing energy consumption and using renewable energies. One of the potential renewable energies which can be helpful in electricity generation is harness wind and water energy or using these two kinds of energy simultaneously. In this study, to pr...

متن کامل

Evaluation of Energy Storage Technologies and Applications Pinpointing Renewable Energy Resources Intermittency Removal

Renewable energy sources (RES), especially wind power plants, have high priority of promotion in the energy policies worldwide. An increasing share of RES and distributed generation (DG), should, as has been assumed, provide improvement in reliability of electricity delivery to the customers. Paper presented here concentrates on electricity storage systems technologies and applications pinpoint...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011