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Optimization of Solar Power Plant Site Selection in Adana, Türkiye Using GIS and the Analytic Hierarchy Process

This study utilizes Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP) to identify optimal solar power plant locations in Adana, Türkiye, by integrating efficiency metrics with environmental factors to promote sustainable renewable energy development.

Original authors: Emine Su turan, behzat balcı, fatma elçin erkurt

Published 2026-06-30
📖 4 min read☕ Coffee break read

Original authors: Emine Su turan, behzat balcı, fatma elçin erkurt

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you are trying to find the perfect spot to build a giant, high-tech sunflower field. You want the flowers to soak up as much sunlight as possible to make electricity, but you also don't want to trample on a nature preserve, annoy the neighbors, or disturb the birds flying overhead.

This paper is essentially a guidebook for finding that perfect spot in Adana, a province in Turkey known for being very sunny. The authors, a team of researchers from Cukurova University, used two main tools to solve this puzzle:

  1. GIS (Geographic Information Systems): Think of this as a super-smart, digital layer cake. Instead of looking at a flat map, they stacked transparent sheets on top of each other. One sheet showed where the sun shines brightest, another showed where the ground is flat, another showed where the roads are, and another showed where the rivers flow.
  2. AHP (Analytic Hierarchy Process): This is like a weighted voting system run by a panel of experts. Since some factors matter more than others (e.g., "Is the sun strong here?" might matter more than "How far is the nearest road?"), the experts gave each factor a "vote" or a score to decide what's most important.

The Two Different "Recipes" for Success

The researchers realized that finding the "best" spot depends on what you care about most. So, they ran two different simulations, like testing two different recipes for the same dish:

Recipe A: The "Maximum Power" Chef
This group of experts (engineers, geologists, planners) cared mostly about efficiency. They asked:

  • "Where does the sun shine the hardest?"
  • "Is the ground flat enough to build on easily?"
  • "Are we close to power lines so we don't lose energy?"
  • "Is the ground safe from earthquakes?"

Result: This recipe pointed to areas that would generate the most electricity. However, some of these spots might be right next to a city or on land that farmers need.

Recipe B: The "Eco-Friendly" Chef
This group of experts (environmental engineers) cared mostly about nature and people. They asked:

  • "Are we building on farmland or forests?"
  • "Will this disturb the birds on their migration path?"
  • "Are we too close to people's homes (causing visual pollution or noise)?"
  • "Are we near rivers that need protection?"

Result: This recipe pointed to areas that would hurt the environment the least. However, some of these spots might be far from power lines or have slightly less sun.

The Big Discovery

The paper's main "aha!" moment is that Recipe A and Recipe B often point to different places.

If you only look at the sun (like many previous studies did), you might pick a spot that is great for making power but terrible for the environment. If you only look at the environment, you might pick a spot that is safe but doesn't make much power.

The researchers found that by using their "layer cake" method and listening to both sets of experts, they could create a map that balances both needs. They identified specific areas in Adana that are:

  • Suitable: Good for both power and nature.
  • Less Suitable: Good for one, but bad for the other.
  • Not Suitable: Bad for both (like steep mountains or city centers).

The Takeaway

The paper concludes that building solar plants isn't just about chasing the sun; it's about finding the "Goldilocks zone" where the plant works hard but doesn't hurt the neighborhood or the ecosystem. By using this smart, two-step approach (GIS + Expert Voting), they hope to help Turkey build solar farms that are both powerful and kind to the planet.

In short: Don't just build where the sun is brightest; build where the sun is brightest and where it won't cause trouble.

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