The AI-Driven Energy Surge: A comprehensive review of sustainable power solutions for data centers

The meteoric rise of artificial intelligence (AI) has propelled global data center energy consumption to 415 terawatt-hours in 2024, with projections doubling to 945 TWh by 2030, driven by AI’s computational intensity and cooling demands. This review synthesizes cutting-edge solutions for sustainable AI-driven data centers, emphasizing renewable energy (solar, wind, hydropower) and advanced cooling technologies (liquid cooling, immersion cooling, heat reuse). Through global case studies, such as Google’s solar-powered facilities, and African innovations, like Kenya’s geothermal-powered centers, it showcases scalable integrations reducing energy use by 20-30%. In Africa, where data center capacity grows 25% annually, abundant renewables and water-efficient cooling address high-temperature challenges, yet infrastructure, cost, and equity barriers persist. Future pathways, including eco-friendly coolants and small modular reactors, are proposed alongside policy reforms to ensure net-zero alignment. This article calls for interdisciplinary collaboration to bridge digital divides, offering actionable insights for researchers, industry, and policymakers to drive sustainable AI infrastructure, particularly in Africa’s burgeoning digital landscape.