IoB Internet of Things (IoT) for Smart Built Environment (SBE): Understanding the Complexity and Contributing to Energy Efficiency; A Case Study in Mediterranean Climates DOI Creative Commons
Ignacio Martínez Ruíz, Enrique Cano-Suñén, Álvaro Marco

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1724 - 1724

Published: Feb. 8, 2025

To meet the 2050 targets about climate change and decarbonization, accomplishing thermal comfort, Internet of Things (IoT) ecosystems are key enabling technologies to move Built Environment (BE) towards Smart (SBE). The first contributions this paper conceptualise SBE from its dynamic adaptative perspectives, considering human habitat, enunciate as a multidimensional approach through six ways inhabiting: defensive, projective, scientific, thermodynamic, subjective, complex. From these premises, analyse performance indicators that characterise multidisciplinary inhabiting, an IoT-driven methodology is proposed: deploy sensor infrastructure acquire experimental measurements; data convert them into context-aware information; make knowledge-based decisions. Thus, work tackles inefficiency high energy consumption public buildings with challenge balancing efficiency user comfort in scenarios. As current systems lack real-time adaptability, integrates enhance management reduce discrepancies between measured temperatures normative thresholds. Following directives, obtained results contribute following: understanding complexity by analysing performance, quantifying potential saving, estimating economic impact. derived conclusions show solutions allow generation real-data-based models on which knowledge, increasing guaranteeing while minimising environmental effects

Language: Английский

Enhancing Sustainability with LCA: A Comparative Analysis of Design and Manufacturing Processes DOI Open Access
Sonia Val Blasco, María Pilar Lambán

Processes, Journal Year: 2025, Volume and Issue: 13(1), P. 195 - 195

Published: Jan. 12, 2025

This study evaluates the feasibility and effectiveness of Life Cycle Assessment (LCA) methodology. Two widely used products with same functionality but different designs production processes were selected for comparative analysis. SimaPro 9.6.0 software was calculations LCA both assemblies. The analysis covered all phases life cycle, taking into account factors such as energy, materials water consumption. results allowed a comparison environmental impacts two assemblies, identifying cycle highest impact most relevant categories. revealed that metal trolley exhibited 40% higher during compared to polypropylene trolley, primarily due material extraction processing phases. Additionally, showed long-term in landfill scenarios carcinogenic substance emissions. These findings highlight significance design selection reducing impacts. Applying methodology mechanical assemblies us identify opportunities improvement manufacturing processes, aim increasing competitiveness products. By considering full product from early phases, more sustainable decisions can be made, by using this analysis, companies develop reduce costs.

Language: Английский

Citations

2
Deciphering how digital functions enable circular economy practices in construction: A critical review of recent progress and future outlook DOI Creative Commons
Wuyan Long, S. Thomas Ng,

Weisheng Lu

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 113, P. 107889 - 107889

Published: Feb. 28, 2025

Language: Английский

Citations

1
IoB Internet of Things (IoT) for Smart Built Environment (SBE): Understanding the Complexity and Contributing to Energy Efficiency; A Case Study in Mediterranean Climates DOI Creative Commons
Ignacio Martínez Ruíz, Enrique Cano-Suñén, Álvaro Marco

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1724 - 1724

Published: Feb. 8, 2025

To meet the 2050 targets about climate change and decarbonization, accomplishing thermal comfort, Internet of Things (IoT) ecosystems are key enabling technologies to move Built Environment (BE) towards Smart (SBE). The first contributions this paper conceptualise SBE from its dynamic adaptative perspectives, considering human habitat, enunciate as a multidimensional approach through six ways inhabiting: defensive, projective, scientific, thermodynamic, subjective, complex. From these premises, analyse performance indicators that characterise multidisciplinary inhabiting, an IoT-driven methodology is proposed: deploy sensor infrastructure acquire experimental measurements; data convert them into context-aware information; make knowledge-based decisions. Thus, work tackles inefficiency high energy consumption public buildings with challenge balancing efficiency user comfort in scenarios. As current systems lack real-time adaptability, integrates enhance management reduce discrepancies between measured temperatures normative thresholds. Following directives, obtained results contribute following: understanding complexity by analysing performance, quantifying potential saving, estimating economic impact. derived conclusions show solutions allow generation real-data-based models on which knowledge, increasing guaranteeing while minimising environmental effects

Language: Английский

Citations

0