https://hdl.handle.net/20.500.11984/478 Mon, 17 Aug 2026 10:27:11 GMT 2026-08-17T10:27:11Z https://hdl.handle.net/20.500.11984/14654 Battery aging-aware adaptive model predictive control based on coupled semi-empirical electro-thermal and aging models Dorronsoro, Xabier; de Castro, Ricardo; Barreras, Jorge Varela; GARAYALDE, ERIK; IRAOLA, UNAI This paper presents an aging-rate aware nonlinear model predictive control (MPC) strategy for battery energy storage systems, integrating a semi-empirical, experimentally validated electro-thermal and degradation model to account for both calendar and cycle aging factors, often neglected in conventional energy management approaches. A key contribution is the introduction of a adaptive weighting method that dynamically adjusts the weights of the MPC cost function according to the battery’s aging state, primarily driven by time-dependent degradation factors. This adaptive mechanism improves control decisions across varying prediction horizons, leading to reductions in both battery degradation and total operating costs by up to 262.7 % and 44.51 %, respectively, when compared to a standard MPC. Wed, 01 Jan 2025 00:00:00 GMT https://hdl.handle.net/20.500.11984/14654 2025-01-01T00:00:00Z https://hdl.handle.net/20.500.11984/14651 Sustainable Business Models for Renewable Energy Communities: A Comprehensive Framework Rabanete , Lierni; F. Mendoza, Joan Manuel; Arrizabalaga, Eneko; Ibarra, Dorleta The “Clean Energy for All Europeans” legislative framework introduced the concept of Renewable Energy Communities (RECs) to empower citizens by granting them greater decision-making authority and control over their energy consumption. As a result, the number of implemented energy communities has been increasing since 2019, leading to a growing interest in the design of business models (BMs) that enable their development and long-term viability. While several studies classify and describe BM for RECs, most lack a structured typology definition and fail to assess their broader sustainability implications. Framing RECs within the circular economy (CE) highlights their role in resource and eco-efficiency, local loop closing, and the socio-technical integration of clean energy solution in cities, a shared and validated understanding of sustainable business model (SBM) typologies is needed to guide their effective implementation, facilitate policy alignment, and enhance social acceptance. This study combines a systematic literature review with participatory validation to define and analyse nine SBM-REC typologies. Each typology is characterised using an extended sustainable business model canvas SBMC framework that integrates governance and sustainability dimensions. Results show that SBM-REC typologies differ significantly in their contributions to social, economic, and environmental sustainability, influenced by their governance model, and local ownership structures. The framework that integrates key dimensions of the BM (value creation, delivery and capture) as well as governance and sustainability aspects enables: (i) the structured classification and comparison of SBM-REC; (ii) the identification of value management patterns; (iii) the analysis of variation in governance logics; and (iv) a qualitative assessment of sustainability (social, environmental, economic) outcomes across typologies. Thu, 01 Jan 2026 00:00:00 GMT https://hdl.handle.net/20.500.11984/14651 2026-01-01T00:00:00Z https://hdl.handle.net/20.500.11984/14645 Fatigue life estimation of cast aluminium alloys considering the effect of porosity on initiation and propagation phases Hidalgo, Raquel; Esnaola, Jon Ander; Llavori, Inigo; Larrañaga, Miren; Hurtado, Iñaki; Herrero-Dorca, Nuria Porosity is one of the main parameters in the fatigue life of cast alloys as it affects both crack initiation and propagation phases. However, most fatigue assessments present a lack of accuracy as they only consider the effect of the initial pore on the fatigue limit. Therefore, in the present study, first, the effect of the main porosity characteristics on the crack initiation and propagation phases is evaluated. Then, an alternative fatigue assessment model is proposed and implemented for Low Pressure Die Casting (LPDC) A356-T6 aluminium alloy. The model accounts for the effect of the initial pore size and distance to surface on the initiation phase as well as fractographic porosity and average pore size on the fracture surface on the propagation phase. Finally, the model was validated by means of experimental tests. Results have shown that the proposed model is able to qualitatively predict the scatter trend of samples tested at the same load. In addition, the model presents high quantitative accuracy in life estimation with an average logarithmic error below 2% and an absolute average error below 16%. Tue, 01 Jan 2019 00:00:00 GMT https://hdl.handle.net/20.500.11984/14645 2019-01-01T00:00:00Z https://hdl.handle.net/20.500.11984/14644 A coupled crack initiation and propagation numerical procedure for combined fretting wear and fretting fatigue lifetime assessment Llavori, Inigo; Zabala, Alaitz; Urchegui, M. A.; Tato, Wilson; Gomez, Xabier This work presents a numerical procedure for combined fretting wear and fretting fatigue problems. It combines the Archard wear model and the Smith-Watson-Topper fatigue indicator parameter with the Miner damage rule for crack nucleation estimation. The eXtended Finite Element Method (XFEM) is then used in combination with the Archard wear model for crack propagation prediction. This procedure was validated in 12 experimental tests taken from the literature, and a good correlation was found. The procedure allows a detailed study of the interaction between the crack and fretting contact in combination with wear. The results show that the relative slip decreases and changes its distribution unevenly when the crack grows, and highlight the key importance of accounting for wear in order to obtain non-conservative predictions. Tue, 01 Jan 2019 00:00:00 GMT https://hdl.handle.net/20.500.11984/14644 2019-01-01T00:00:00Z