Producción científica
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Item type:Publication, Estimation of Hydrogen Production Potential from Renewable Resources in Northern Peru(Elsevier BV, 2023-08-17)This research evaluates the potential for green hydrogen production in the Piura region, northern Peru, utilising wind, solar and biomass energy sources as well as water electrolysis. The study assesses the electrical energy generated from each renewable installation and calculates the hydrogen production potential using a 75% efficiency rate for the PEM electrolyser. The study also evaluates the potential for bioethanol reforming to produce biomass hydrogen and the environmental impact of green hydrogen as an energy carrier at a regional level. The results indicate that Piura has high potential for green hydrogen production, with solar energy being the most promising, and that green hydrogen has the potential to replace the current energy sources in the region. This research provides valuable insights into the use of green hydrogen as a renewable energy source and emphasises the need to invest in environmentally friendly hydrogen production technologies to achieve global sustainability. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Applications of Renewable Energies in Low-Temperature Regions: A Scientometric Analysis of Recent Advancements and Future Research Directions(Multidisciplinary Digital Publishing Institute (MDPI), 2025-02-01)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.2