English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Nowadays, as one of the most important renewable energy sources; solar energy is the most readily available source of energy and demanded due to the fact that it is non-polluting and helps in reducing the greenhouse effect. Of course, a plant called solar power plant is need to utilize the solar energy that is free from the sun light. As the result of this, we meet a critical problem on how the solar power plant location is determined in the presence of many location alternatives and evaluation criteria. Clearly, it is found that the problem is a multiple-criteria decision making (MCDM) problem which is solved a MCDM method with a set of alternatives in terms of a list of evaluation criteria. In this paper, the solar power plant location problem is solved by using analytic hierarchy process (AHP) to reach the most satisfying alternative amongst the others. A numerical example is also presented to show the applicability of the proposed methodology in the case of Turkey.

EVALUATING SOLAR POWER PLANT LOCATION ALTERNATIVES THROUGH A MULTIPLE-CRITERIA DECISION MAKING METHOD