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Item type:Publication, Clean energy transition in Peru: A green hydrogen perspective(2022-12-22)For anyone concerned about climate change, fostering the energy transition from fossil-based to low- or zero-carbon energy sources is a must. In this context, this work provides a brief overview of the clean energy transition in Peru, accounting for a green hydrogen perspective. Accordingly, after the corresponding introduction to the subject, the current situation of renewable energies in Peru is highlighted, along with their historical evolution during the last two decades or so, and the prospects for these more environmentally friendly energy sources in the following years. Next, the potential for renewable energy production in Peru is discussed, with especial emphasis on hydropower, wind, solar, and biomass. Finally, green hydrogen and its potential to contribute to the energy transition in Peru is addressed. A particular emphasis is put in this case on the production of green hydrogen and its applications in Peru and worldwide. From the discussions carried out in this work, it is concluded that, although Peru has a large potential to become a green hydrogen producing and exporting country, there is still a long way to go before Peru can achieve the desired carbon neutrality in the coming decades. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Methodological Framework for the Integrated Technical, Economic, and Environmental Evaluation of Solar Photovoltaic Systems in Agroindustrial Environments(Multidisciplinary Digital Publishing Institute (MDPI), 2025-08-01)The transition to sustainable energy systems in the agroindustrial sector requires rigorous methodologies that enable a comprehensive and quantitative assessment of the technical and economic viability and environmental impact of photovoltaic integration. This study develops and validates a hybrid multi-criteria methodology structured in three phases: (i) analytical modeling of the load profile and preliminary sizing, (ii) advanced energy simulation using PVsyst for operational optimization and validation against empirical data, and (iii) environmental assessment using life cycle analysis (LCA) under ISO 14040/44 standards. The methodology is applied to a Cuban agroindustrial plant with an annual electricity demand of 290,870 kWh, resulting in the design of a 200 kWp photovoltaic system capable of supplying 291,513 kWh/year, thereby achieving total coverage of the electricity demand. The economic analysis yields an LCOE of 0.064 USD/kWh and an NPV of USD 139,408, while the environmental component allows for a mitigation of 113 t CO2-eq/year. The robustness of the model is validated by comparison with historical records, yielding an MBE of −0.65%, an RMSE of 2.87%, an MAPE of 2.62%, and an R2 of 0.98. This comprehensive approach demonstrates its superiority over previous methodologies by effectively integrating the three pillars of sustainability in an agroindustrial context, thus offering a scientifically sound, replicable, and adaptable tool for decision-making in advanced energy projects. The results position this methodology as a benchmark for future research and applications in emerging production scales.2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrated Assessment of Photovoltaic Systems in Multi-Family Buildings as a Strategy for Climate Change Mitigation and Urban Energy Sustainability(Multidisciplinary Digital Publishing Institute (MDPI), 2026-05-01)Decarbonizing the building sector requires integrating on-site renewable generation with systematic energy management. Among the most widely adopted alternatives are photovoltaic (PV) systems in buildings; however, they are often implemented as a standalone technological intervention (size–install–estimate savings), without being formally incorporated into an Energy Management System (EnMS) aimed at continuous improvement. In this context, this research addresses this gap through an integrated methodological framework aligned with ISO 50001, in which PV is explicitly included in energy performance management through energy review, the definition of an Energy Baseline (EnB), and the monitoring of Energy Performance Indicators (EnPIs) within the PDCA cycle. The approach articulates the analytical sizing of the PV system based on electricity demand and solar resources; its validation through simulation to ensure operational consistency and a technical, economic, and environmental assessment that translates PV generation into a verifiable reduction in energy imported from the grid and, consequently, into traceable improvements in EnPI under an audit-compatible scheme. The methodology is demonstrated in a multi-family building in Chorrillos, Lima (Peru), where a 14.5 kWp rooftop PV system (25 modules of 580 Wp) is designed to maximize self-consumption during daylight hours. The results show technical performance consistent with the demand profile, economic viability under the conditions of the case, and environmental benefits from replacing grid electricity, along with offsets associated mainly with the manufacture of PV components. The residual gap between the Post-PV EnPIs and the ISO 50001 target confirms that PV integration is a necessary but not sufficient first-cycle action within a comprehensive building decarbonization strategy, with demand-side management and envelope improvements identified as subsequent PDCA cycle priorities. In summary, the central contribution is not the PV sizing itself, but its operational and traceable integration within ISO 50001, making PV a quantifiable, verifiable, and scalable energy improvement action for residential buildings in emerging economies.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI, ESG, and Energy Transition in Emerging Markets: A Multidimensional Analysis(Wiley, 2026-01-01)As the global energy system shifts from fossil fuels to renewable sources, AI has become a crucial component of this transformation. This study explores the influence of AI on the energy transition (ET) in emerging markets from 1993 to 2019, focusing on the role of environmental, social, and governance (ESG) performance. The results are summarized as follows. First, AI accelerates ET, and this finding remains consistent after robustness checks and addressing potential endogeneity issues. Second, AI has an indirect effect on ET by enhancing environmental and social performance. Third, AI has a nonlinear impact on ET across different levels of governance. As governance performance overextends, the positive effect of AI on ET decreases. Fourth, the heterogeneity analysis reveals that the threshold effect of governance performance varies across different income levels. This study presents several recommendations for integrating AI into renewable energy development.