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Dergiler / Sürdürülebilir Mühendislik Uygulamaları ve Teknolojik Gelişmeler Dergisi / 2026 / Cilt: 9 Sayı: 1

Yapay Zekâ Veri Merkezlerinde Su Tüketimi ve Sürdürülebilirlik: Bibliyometrik Analiz

Water Consumption And Sustainability In AI Data Centers: Bibliometric Analysis

Sema Urnek(Üsküdar Üniversitesi)0000-0002-9505-0777
Gülser Sayan(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, HAMİDİYE SAĞLIK BİLİMLERİ ENSTİTÜSÜ, SAĞLIK YÖNETİMİ (DR))0000-0003-3499-0068
Betül Akalın(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, HAMİDİYE SAĞLIK BİLİMLERİ ENSTİTÜSÜ, SAĞLIK YÖNETİMİ (DR))0000-0003-0402-2461
Sayfa
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Yayın Tarihi
2026-09-03
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bulgular, alanın yeni ve hızlı büyüyen bir araştırma alanı olduğunu göstermektedir; yayınların %86’sı 2025–2026 yıllarında gerçekleştirilmiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Yapay zekâ (YZ), dijitalleşmeyi hızlandırarak veri odaklı inovasyonu güçlendirmiş; ancak çevresel sürdürülebilirlik tartışmalarında sıklıkla göz ardı edilen enerji ve su tüketimi gibi dışsallıkları gündeme getirmiştir.
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Temel Bulgular & Veri:Bu çalışma, YZ veri merkezlerinde su tüketimi ve enerji kullanımına bağlı çevresel etkileri bibliyometrik analiz yöntemiyle incelemeyi amaçlamaktadır.
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Sonuç & Katkı:Bulgular, alanın yeni ve hızlı büyüyen bir araştırma alanı olduğunu göstermektedir; yayınların %86’sı 2025–2026 yıllarında gerçekleştirilmiştir.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2015–2026 Verileri
⚙️Değişkenler:Yapay Zekâ · Veri Merkezi · Su Tüketimi

Özet

Yapay zekâ (YZ), dijitalleşmeyi hızlandırarak veri odaklı inovasyonu güçlendirmiş; ancak çevresel sürdürülebilirlik tartışmalarında sıklıkla göz ardı edilen enerji ve su tüketimi gibi dışsallıkları gündeme getirmiştir. Özellikle son on yılda hızla yaygınlaşan YZ teknolojileri, veri merkezlerinin yüksek enerji ihtiyacı, yoğun su kullanımı ve fosil yakıt bağımlılığı yoluyla doğal kaynaklar üzerinde önemli baskılar oluşturmakta ve sürdürülebilirliği tehdit etmektedir. Bu çalışma, YZ veri merkezlerinde su tüketimi ve enerji kullanımına bağlı çevresel etkileri bibliyometrik analiz yöntemiyle incelemeyi amaçlamaktadır. Veriler, 2015–2026 yılları arasında Web of Science ve Scopus veri tabanlarından elde edilmiştir. Tarama sonucunda belirlenen 198 kayıttan, konu dışı ve tekrar eden çalışmalar çıkarılarak 51 makale analiz kapsamına alınmıştır. Bulgular, alanın yeni ve hızlı büyüyen bir araştırma alanı olduğunu göstermektedir; yayınların %86’sı 2025–2026 yıllarında gerçekleştirilmiştir. En fazla yayın yapan ülke Çin olup, öne çıkan anahtar kelimeler “veri merkezi”, “yapay zekâ”, “enerji verimliliği” ve “sürdürülebilirlik “dir. Sonuç olarak, YZ veri merkezlerinin özellikle su tüketimi açısından önemli çevresel riskler barındırdığı, ancak literatürde suyun doğrudan ve dolaylı kullanımına ilişkin çalışmaların sınırlı olduğu; araştırmaların daha çok enerji tüketimi ve sürdürülebilirlik ekseninde yoğunlaştığı görülmüştür.

Abstract

Artificial intelligence (AI) has accelerated digital transformation and driven data-driven innovation; however, it has also brought to the forefront externalities such as energy and water consumption, which are often overlooked in discussions of environmental sustainability. AI technologies, which have spread rapidly over the past decade in particular, are placing significant pressure on natural resources—through data centers’ high energy demands, intensive water use, and reliance on fossil fuels—and threatening sustainability. This study aims to examine the environmental impacts associated with water consumption and energy use in AI data centers using bibliometric analysis methods. Data were obtained from the Web of Science and Scopus databases for the period 2015–2026. Of the 198 records identified through the search, 51 articles were included in the analysis after excluding off-topic and duplicate studies. The findings indicate that this is a new and rapidly growing field of research; 86% of the publications were produced between 2025 and 2026. China is the country with the highest number of publications, and the prominent keywords are “data center,” “artificial intelligence,” “energy efficiency,” and “sustainability.” In conclusion, it was observed that AI data centers pose significant environmental risks, particularly regarding water consumption; however, studies on the direct and indirect use of water are limited in the literature, with research primarily focused on energy consumption and sustainability.

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Bu Makaleye Atıf Yap

Urnek, S., Sayan, G., Akalın, B. (2026). Yapay Zekâ Veri Merkezlerinde Su Tüketimi ve Sürdürülebilirlik: Bibliyometrik Analiz. Sürdürülebilir Mühendislik Uygulamaları ve Teknolojik Gelişmeler Dergisi, Cilt: 9 Sayı: 1. https://doi.org/10.51764/smutgd.2004236

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