https://hdl.handle.net/20.500.11984/478 2026-07-09T03:12:30Z 2026-07-09T03:12:30Z Peña Mangas, David Cernuda, Carlos Reguera-Bakhache, Daniel https://hdl.handle.net/20.500.11984/14617 2026-07-08T06:15:55Z 2026-01-01T00:00:00Z

Computational Intelligence for Sustainable Glass Manufacturing: A Data-Driven Approach for Energy Efficient Conditioning Peña Mangas, David; Cernuda, Carlos; Reguera-Bakhache, Daniel In the glass container manufacturing process, conditioning is a key stage that contributes to energy consumption. The main objective of conditioning is to cool the glass exiting the furnace to a suitable temperature for container forming. Currently, this stage is managed based on the experience of operators, which is functional but not optimized for energy efficiency. While several approaches to minimizing energy consumption based on process control using physical modeling have been proposed in the literature, they do not completely account for all the involved variables. Moreover, none of these studies leverage the power of data to predict energy consumption patterns. In this paper, we introduce a data-driven method to minimize energy consumption during the glass conditioning stage. We applied this methodology to a specific production line and tested it under various scenarios, achieving potential savings of 5% to 45% in energy consumption. Operational validations in two additional real forehearths showed energy reductions of 26.3–89.3 kWh per operating hour, corresponding to relative savings of 8.2%–22.1%, including a same-production A/B test. The implementation of this method has the potential to significantly contribute to the decarbonization goals of the glass manufacturing industry.

2026-01-01T00:00:00Z Feijoo-Arostegui, Ane Rodrigues, Luís Gaztañaga, Haizea Villar, José Soares, Tiago Goikoetxea, Ander https://hdl.handle.net/20.500.11984/14616 2026-07-08T06:15:54Z 2026-01-01T00:00:00Z

Techno-economic assessment of centralized and decentralized energy management strategies for energy sharing in collective self-consumption schemes Feijoo-Arostegui, Ane; Rodrigues, Luís; Gaztañaga, Haizea; Villar, José; Soares, Tiago; Goikoetxea, Ander The increasing deployment of individual and collective self-consumption systems is reshaping Energy Management Systems (EMSs) under evolving regulatory frameworks. This paper presents a techno-economic comparison between a centralized EMS and a decentralized EMS for flexible resources dispatching and sharing under collective self-consumption schemes. The centralized EMS is formulated as a Mixed-Integer Non-Linear Programming (MINLP) optimization problem, whereas the decentralized EMS employs a rule-based algorithm that requires no information exchange among members. Both strategies have been evaluated under the Spanish regulatory framework, a) using fixed allocation coefficients and b) introducing improvements borrowed from the Portuguese regulation, selected as a benchmark due to its advanced regulatory maturity. For the case of ex-ante allocation coefficients computation, an optimization-based methodology is proposed combining Mixed-Integer Linear Programming (MILP) with data clustering techniques. Results indicate that both EMS architectures achieve comparable energetic performance. The centralized EMS achieves the highest levels of self-consumption, self-sufficiency and energy sharing, particularly when proportional allocation coefficients are used, while the decentralized EMS performs closely. From an economic perspective, the centralized EMS provides the highest cost reductions, while the decentralized EMS yields lower economic savings but with significantly less computational effort, with runtimes up to eighteen times shorter. These findings highlight a clear trade-off between economic optimality and computational efficiency, positioning decentralized EMS solutions as a scalable and privacy-preserving alternative for individual self-consumers transitioning to collective self-consumption schemes in evolving regulatory frameworks.

2026-01-01T00:00:00Z Torrano, Ivan Tutar, Mustafa Martinez Agirre, Manex https://hdl.handle.net/20.500.11984/14610 2026-06-20T06:15:51Z 2015-01-01T00:00:00Z

Comparison of Experimental and RANS-Based Numerical Studies of the Decay of Grid-Generated Turbulence Torrano, Ivan; Tutar, Mustafa; Martinez Agirre, Manex

2015-01-01T00:00:00Z Martinez Agirre, Manex Elejabarrieta, Maria Jesus https://hdl.handle.net/20.500.11984/14608 2026-06-20T06:15:49Z 2014-01-01T00:00:00Z

Characterisation and modelling of prestrained viscoelastic films Martinez Agirre, Manex; Elejabarrieta, Maria Jesus

2014-01-01T00:00:00Z