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Item type:Publication, Environmental impact of peanut skin-reinforced native starch foams modified by acetylation(Wiley, 2021-05-13)Starch foams are natural and biodegradable alternatives proposed as sustainable replacements to expanded polystyrene. Despite being recognized as eco‐friendly materials, environmental impacts associated with their production process remain poorly studied. Here, the cradle‐to‐gate life‐cycle assessment of four types of starch‐based foams (potato, cassava, corn, and sweet potato) reinforced with peanut skin was assessed and analyzed. Chemically modifying starch by acetylation may accelerate the degradation ratio and decrease its hydrophilicity, which is a common issue in packaging applications. Hence, two starch scenarios were evaluated, considering as‐prepared and acetylated starches. The environmental burden of starch foam production varied depending on the starch source due to the different agricultural and irrigation practices. By incorporating 10 wt% of acetylated starch, the environmental impact drastically increased in most categories. Additionally, the sensitivity analysis carried out with different peanut skin contents showed a limited effect under 0–30 wt% of peanut skin, suggesting that peanut production exhibits a similar environmental burden to most starches. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Transparency-based protocol for decision-making regarding seismic rehabilitation projects of public buildings(Elsevier, 2021-03-01)Motivation and problem definition: A large number of public buildings designed with obsolete criteria are at high seismic risk and in need of structural rehabilitation. The task of selecting the optimal strategy poses important challenges for decision-makers due to the variety of intervention options and the fact that the construction sector is perceived to be one of the most corrupt in the economy. Given that transparency is an efficient anti-corruption strategy, a protocol is proposed for decision-making in seismic rehabilitation projects of public infrastructure that incorporates criteria which serve to increase transparency in the project development. Methods: Firstly, the literature was reviewed to describe current practices and regulations linked to decision-making in seismic rehabilitation/retrofitting of buildings. Secondly, relevant criteria that should be taken into account to favor transparency in decision-making were proposed. Thirdly, these criteria were integrated into a protocol that uses information and communication technologies (ICTs), Building Information Modeling (BIM), and collaborative methodologies that involve all stakeholders that will participate in the decision-making process. Finally, the protocol was applied to a real decision-making case study for the selection of alternatives for large-scale reinforcement of state schools in the city of Lima. Results: The criteria of auditability or ease of control of the construction process is well regarded by stakeholders as a mechanism to increase transparency. Including these transparency criteria could influence the selection of reinforcement alternatives, especially if the profile of stakeholders is environmentally-oriented. The sensitivity analysis confirmed the dependency of the selection on the decision-maker profile. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A method to include life cycle assessment results in choosing by advantage (CBA) multicriteria decision analysis: a case study for seismic retrofit in Peruvian primary schools(MDPI AG, 2021-08-01)Building information modeling (BIM) is an emerging technology that improves visualization, understanding, and transparency in construction projects. Its use in Latin America and the Caribbean (LA&C), while still scarce, is developing in combination with multi-criteria decision-making (MCDM) methods, such as the choosing by advantages (CBA) method. Despite the holistic nature of MCDM methods, the inclusion of life cycle environmental metrics is lagging in construction projects in LA&C. However, recent studies point toward the need to optimize the synergies between BIM and life cycle assessment (LCA), in which a method like CBA could allow improving the quality of the decisions. Therefore, the main objective of this study is to integrate LCA and CBA methods to identify the effect that the inclusion of environmental impacts can have on decision-making in public procurement, as well as comparing how this final decision differs from an exclusively LCA-oriented interpretation of the results. Once the LCA was performed, a set of additional criteria for the CBA method were fixed, including transparency, technical, and social indicators. Thereafter, a stakeholder participative workshop was held in order to gather experts to elucidate on the final decision. The methodology was applied to a relevant construction sector problem modelled with BIM in the city of Lima (Peru), which consisted of three different construction techniques needed to retrofit educational institutions. Results from the LCA-oriented assessment, which was supported by Monte Carlo simulation, revealed a situation in which the masonry-based technique showed significantly lower environmental impacts than the remaining two options. However, when a wider range of technical, social, and transparency criteria are added to the environmental indicators, this low-carbon technique only prevailed in those workshop tables in which environmental experts were present and under specific computational assumptions, whereas teams with a higher proportion of government members were inclined to foster alternatives that imply less bureaucratic barriers. Finally, the results constitute an important milestone when it comes to including environmental factors in public procurement in LA&C. - 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of characterization factors for Peruvian fish stocks within the fisheries impact pathway framework(Springer, 2026-04-26)Biodiversity impacts of the Peruvian fisheries, strongly influenced by El Niño-Southern Oscillation (ENSO), are not fully covered by current life cycle impact assessment (LCIA) models. While the recently developed Fisheries Impact Pathway (FIP) accounts for the impacts of marine biotic resource depletion, key methodological challenges, such as temporality, critical for impact assessment in dynamic fisheries, remain unattended. In the current study, we aim to develop characterization factors (CFs) for 10 relevant Peruvian fishing stocks, including Peruvian anchoveta, using an enhanced FIP framework.2