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Applications of Renewable Energies in Low-Temperature Regions: A Scientometric Analysis of Recent Advancements and Future Research Directions

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  • César Rodríguez-Aburto

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • José Poma-García

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • Jorge Montaño-Pisfil

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • Pablo Morcillo-Valdivia

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • Roberto Solís-Farfán

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • José Curay-Tribeño

    (Faculty of Electrical and Electronic Engineering, Universidad Nacional del Callao, Callao 07011, Peru)

  • Alex Pilco-Nuñez

    (Faculty of Chemical and Textile Engineering, Universidad Nacional de Ingeniería, Túpac Amaru 210 Avenue, Lima 15024, Peru)

  • José Flores-Salinas

    (Faculty of Chemical and Textile Engineering, Universidad Nacional de Ingeniería, Túpac Amaru 210 Avenue, Lima 15024, Peru)

  • Freddy Tineo-Cordova

    (Faculty of Chemical and Textile Engineering, Universidad Nacional de Ingeniería, Túpac Amaru 210 Avenue, Lima 15024, Peru)

  • Paul Virú-Vasquez

    (Instituto para la Calidad, Pontificia Universidad Católica del Perú, Lima 15024, Peru)

  • Luigi Bravo-Toledo

    (Faculty of Environmental Engineering and Natural Resources, Universidad Nacional del Callao, Callao 07011, Peru)

Abstract

This study presents a scientometric analysis of renewable energy applications in low-temperature regions, focusing on green hydrogen production, carbon storage, and emerging trends. Using bibliometric tools such as RStudio and VOSviewer, the research evaluates publication trends from 1988 to 2024, revealing an exponential growth in renewable energy studies post-2021, driven by global policies promoting carbon neutrality. Life cycle assessment (LCA) plays a crucial role in evaluating the environmental impact of energy systems, underscoring the need to integrate renewable sources for emission reduction. Hydrogen production via electrolysis has emerged as a key solution in decarbonizing hard-to-abate sectors, while carbon storage technologies, such as bioenergy with carbon capture and storage (BECCS), are gaining traction. Government policies, including carbon taxes, fossil fuel phase-out strategies, and renewable energy subsidies, significantly shape the energy transition in cold regions by incentivizing low-carbon alternatives. Multi-objective optimization techniques, leveraging artificial intelligence (AI) and machine learning, are expected to enhance decision-making processes, optimizing energy efficiency, reliability, and economic feasibility in renewable energy systems. Future research must address three critical challenges: (1) strengthening policy frameworks and financial incentives for large-scale renewable energy deployment, (2) advancing energy storage, hydrogen production, and hybrid energy systems, and (3) integrating multi-objective optimization approaches to enhance cost-effectiveness and resilience in extreme climates. It is expected that the research will contribute to the field of knowledge regarding renewable energy applications in low-temperature regions.

Suggested Citation

  • César Rodríguez-Aburto & José Poma-García & Jorge Montaño-Pisfil & Pablo Morcillo-Valdivia & Roberto Solís-Farfán & José Curay-Tribeño & Alex Pilco-Nuñez & José Flores-Salinas & Freddy Tineo-Cordova &, 2025. "Applications of Renewable Energies in Low-Temperature Regions: A Scientometric Analysis of Recent Advancements and Future Research Directions," Energies, MDPI, vol. 18(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:904-:d:1590488
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    References listed on IDEAS

    as
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