3. Producción
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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, Chile at the Green Window of Opportunity: The Troubled Road to New Productive Capabilities(De Gruyter, 2025-12-01)This article examines how Chile is navigating the global energy transition, with a focus on the resurgence of industrial policy. While developed countries have led this transformation–through policies such as the U.S. Inflation Reduction Act and the EU's Green Industrial Plan–peripheral economies are also strategically positioning themselves in the evolving global economy. Chile's comparative advantages in critical minerals and renewable energy place the country at the forefront of Latin American green growth initiatives. In contrast to long-held neoliberal policy beliefs, the last three governments have introduced strategies aimed at either developing strategic sectors for the energy transition, such as green hydrogen and lithium, or decarbonizing existing operations, such as copper, while simultaneously enhancing new productive capabilities. This contribution examines policy instruments across different segments (upstream, downstream, and offstream) of the green hydrogen and lithium value chains, with a particular focus on the development of new productive capabilities. By analyzing Chile's new industrial policy and its associated political-economic challenges, the article provides insights into how peripheral economies can leverage their resource endowments to engage in the reconfiguration of global value chains during the energy transition.2 - 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
