https://hdl.handle.net/10259/4707 2026-10-12T15:47:30Z https://hdl.handle.net/10259/12232 Statistical analysis of the dependence between typologies of vernacular dwellings and the localities of the Montesinho natural park Khei, Soon; Mateus, Ricardo; Ortega Heras, Javier; Briones Llorente, Raúl This study proposes a statistical framework for analysing vernacular architecture datasets characterised by sparse and heterogeneous distributions. Using an inventory of 1,212 buildings from eight villages in Portugal’s Montesinho Natural Park, the research evaluates the relationship between 23 architectural typologies and local settlements. Traditional Chi-square tests proved unreliable due to low expected frequencies, prompting the adoption of Standardised Residuals based on the Normal Distribution N(0,1). The method identifies statistically significant typological dependencies and local architectural identities while remaining accessible through standard spreadsheet software. Results demonstrate that rare typologies often provide stronger indicators of territorial identity than the most frequent building types. 2026-01-01T00:00:00Z https://hdl.handle.net/10259/12226 Assessing the role of solar shading devices in mitigating overheating in high schools in Madrid Hidalgo-Betanzos, Juan Maria; Escudero Revilla, César; Briones Llorente, Raúl; Hernández Cruz, Pablo; Terés Zubiaga, Jon Several initiatives promoted by industry and research organisations are currently investigating the role of solar protection systems in improving summer performance in educational buildings. Among them, the Spanish Solar-Shading Organisation (AES-SO) has launched a technical research initiative to analyse the real impact of solar shading in school buildings under current climatic conditions. This study addresses this gap through a parametric analysis of a representative classroom in Madrid. Sixteen scenarios are evaluated, combining construction periods, orientations, and dynamic solar shading devices. The objective is to quantify the impact of these solutions on indoor temperatures, OH hours and energy needs, providing essential data for the decision-making about retrofitting the school stock, which, as we know, must urgently adapt to the new climatic reality. 2026-01-01T00:00:00Z https://hdl.handle.net/10259/12214 Educational innovation in building engineering through experiential learning of fluid thermodynamics Briones Llorente, Raúl; Lifi, Mohamed; Muñoz Rujas, Natalia; Martín González, Jesús Ángel; Aguilar Romero, Fernando; Montero García, Eduardo In the face of climate change and the 2030 Agenda’s Sustainable Development Goals, the building sector is critical, accounting for 36% of CO2x emissions in the European Union. To transform this model, higher education must equip future engineers and architects with robust skills in energy efficiency and thermodynamics. In this context, the Teaching Innovation Group of the Universidad de Burgos has developed a multilingual (Spanish, English, and French) open educational resource focused on active learning of the thermal equation of state of fluids. Through laboratory experimentation, students analyse pressure-volume-temperature (PVT) relationships and fluid behaviour across various thermodynamic regions. This methodology, successfully implemented in Spanish and Moroccan universities, strengthens the conceptual understanding required to optimize energy performance in residential and industrial thermal systems, promoting more sustainable engineering practices. 2026-01-01T00:00:00Z https://hdl.handle.net/10259/11935 Quantitative Modeling and Analysis of Excess Molar Enthalpy in 2-Phenoxyethanol–Alcohol Systems Samadi, Khaoula; Yatim, Fatima Ezzahra; Lifi, Mohamed; Lifi, Houda; Alaoui, Fatima E. M.; Aguilar Romero, Fernando As the gasoline industry seeks cleaner-burning and more efficient fuel formulations, glycol ethers and alcohols, due to their oxygenated functional groups, are gaining interest as additives. One promising candidate is 2-phenoxyethanol (2-PhE), a glycol ether known for its thermal stability and low volatility. In this work, we studied how 2-PhE mixes with various alcohols, 1-propanol, 1-butanol, 2-propanol, 2-butanol, methanol, and ethanol, by measuring the excess molar enthalpy (HmE) at a pair of 298.15 and 313.15 K and at 0.1 MPa. All binary mixtures analyzed showed mixing was endothermic, indicating weaker interactions between the different molecules. To evaluate the predictability of thermodynamic models for these types of mixtures, the Redlich–Kister equation was found to be the best for correlating the HmE. The NRTL and UNIQUAC provided reasonable agreement by incorporating molecular size and local interactions. The modified UNIFAC (Dortmund) model, based on group contributions, was less accurate, especially for mixtures where hydrogen-bonding and molecular structure play a big role. These findings highlight the challenges in modeling complex alcohol ether blends and underscore the need for better predictive tools in the development of next-generation gasoline additives. 2026-05-01T00:00:00Z