Examinando por Autor "Iribarren, Diego"

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1er Workshop esLCAGestión del ciclo de vida en los sectores de laconstrucción y de la energía. Libro de Abstracts
(Servicio de Publicaciones de la Universidad Rey Juan Carlos, 2016) Martín-Gamboa, Mario; Iribarren, Diego; Dufour, Javier
El Análisis del Ciclo de Vida (ACV) y otras metodologías derivadas como las huellas de carbono e hídrica son actualmente herramientas ampliamente reconocidas para evaluar la viabilidad ambiental de procesos y productos, como demuestra, a nivel español, el Real Decreto 163/2014 por el que se crea el registro de huella de carbono o, a nivel europeo, la creación de la Plataforma Europea de Análisis del Ciclo de Vida y la identificación del ACV dentro del programa marco Horizon 2020 como una herramienta clave para la toma de decisiones y la elaboración de políticas. España dispone de diferentes grupos trabajando en el campo del ACV que son referencia a nivel mundial. La Red de Excelencia esLCA pretende potenciar las sinergias entre todos los grupos, dando un salto cualitativo que permita afrontar de forma efectiva los retos pendientes en materia de ACV. Esto supondría un gran paso en cuanto a la fiabilidad de los análisis de sostenibilidad asociados, posibilitando una mejor toma de decisiones a diferentes escalas (política, industrial, etc.).
Definition, assessment and prioritisation of strategies to mitigate social life-cycle impacts across the supply chain of bioelectricity: A case study in Portugal
(Elsevier, 2022) Martín-Gamboa, Mario; Dias, Ana Cláudia; Iribarren, Diego
A key goal in sustainable supply chain management is the minimisation of risk across supply chains. However, this is jeopardised by underdeveloped aspects such as social risk management, especially in the case of energy systems as they involve complex supply chains. This article constitutes the first time that Social Life Cycle Assessment (S-LCA) is used to lay the foundation for a methodological framework to define, assess and prioritise strategies oriented towards the minimisation of social life-cycle impacts across the supply chain of energy products. This framework combines S-LCA, a novel approach to the definition of alternative supply chain strategies, and multi-criteria decision analysis (MCDA). It was demonstrated through a case study of bioelectricity in Portugal by defining and assessing fifteen strategies on the specific supply chains of oil and fertilisers to check their suitability to enhance the system's social life-cycle performance. The weighted sum method (WSM) and Data Envelopment Analysis (DEA) were used as MCDA tools to further support decision-making by prioritising strategies. According to the results for a set of six social indicators, the strategies proposed on the supply of oil and nitrogen-based fertilisers were deemed suitable trade-off solutions to mitigate the social life-cycle impact of the bioelectricity system.
Techno-economic comparison of optimized natural gas combined cycle power plants with CO2 capture
(Elsevier, 2022) Kazemi, Abolghasem; Moreno, Jovita; Iribarren, Diego
Natural gas combined cycle (NGCC) power plants account for a large share of the global energy market. Although many alternative layouts of NGCC plants have already been addressed in the scientific literature, there are still relevant gaps of knowledge in comparative techno-economic performances of the previously proposed alternatives. This article presents a comprehensive comparative study of 19 alternative NGCC power plants with pre-combustion, post-combustion or oxy-fuel combustion CO2 capture processes involving different choices of CO2 absorbents and organic Rankine cycles for energy savings. The purpose of this study is to shed light on comparative techno-economic performances of power plants with different CO2 capture strategies and various organic Rankine cycle configurations. First, performance of each alternative was optimized from a technical (equivalent work) standpoint. Then, the economic performance of each optimized alternative was evaluated. Based on the results within the sample of NGCC plants, using activated methyldiethanolamine could lead to better technical and economic performances than monoethanolamine in pre- and post-combustion capture systems. Moreover, the efficacy of organic Rankine cycles for enhancing the technical and economic performance of NGCC plants with CO2 capture was shown, with a reduction of up to 1.39 years in the payback period for various process configurations.
The future need for critical raw materials associated with long-term energy and climate strategies: The illustrative case study of power generation in Spain
(Elsevier, 2025-01-01) García-Gusano, Diego; Iribarren, Diego; Muñoz, Iñigo; Arrizabalaga, Eneko; Mabe, Lara; Martín-Gamboa, Mario
The deployment of renewable energy technologies, though necessary to decarbonise our society, poses a risk stemming from the massive increase in the use of critical raw materials. This work presents a prospective evaluation of a national electricity generation mix up to 2050 and discusses the increase in several critical and strategic materials used in this transition. Results indicate that the deployment of solar photovoltaics and wind energy will raise material criticality concerns in the coming decades. When comparing a decarbonisation scenario aligned with the 2030 Spanish policy with a business-as-usual scenario, results show that a higher penetration of renewables would involve increases of up to 53 % in silicon, 27 % in aluminium, 11 % in copper, and less than 1 % in other materials by 2050. Overall, the decarbonisation scenario would involve up to 12 % more materials. Furthermore, criticality indicators show increases of 0.06 % and 5 % by 2050 depending on the selected indicator. Differences in figures highlight discrepancies in the way criticality is evaluated, suggesting that further research is needed. Nevertheless, national long-term energy policies such as the Spanish one are urged to implement criticality issues in their formulation. Consequently, the authors recommend including critical material usage within energy and climate planning models