The effect of digital technology utilization for more efficient energy production, transmission and consumption on energy policies

Date

2025-1

Author

Gölnar, Sertaç Köksal

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This study explores the transformative role of digital technologies in enhancing energy efficiency, optimizing energy systems, and supporting sustainable energy transitions. In light of increasing energy demands, climate change challenges, and the need for decarbonization, this study evaluates how digital technologies address inefficiencies across energy production, transmission, and consumption processes. The research adopts a mixed-methods approach, combining a comprehensive literature review, case studies from developed economies, an assessment of emerging economies, and quantitative analysis towards digitalization’s role on sustainable energy. Findings reveal that smart grids facilitate real-time energy management, enable demand response, and improve grid reliability, while AI and IoT technologies provide predictive analytics and automation to optimize energy flows. Blockchain introduces transparency and decentralization in energy markets, enabling peer-to-peer energy trading and improving renewable energy integration. The study identifies significant barriers to the adoption of digital technologies, including high capital costs, cybersecurity risks, regulatory inconsistencies, and workforce capacity gaps. Policy recommendations emphasize financial incentives, regulatory harmonization, public-private partnerships, and skills enhancements as critical enablers for digital energy solutions. Furthermore, international collaboration is highlighted for addressing the challenges in emerging economies, whereas localized solutions can bridge infrastructure and financial gaps. This dissertation concludes that aligning technological advancements with supportive policies can enable utilization from digitalization, leading to energy efficiency gains, emissions reductions, and sustainable economic growth. The findings contribute to the knowledge on digital energy transitions and provide practical insights for policymakers, industry stakeholders, and researchers.

Subject Keywords

Energy Policies, Digital Energy Systems, Smart Grids, Artificial Intelligence (AI), Blockchain Energy Markets

URI

https://hdl.handle.net/11511/113461

Collections

Graduate School of Natural and Applied Sciences, Thesis