analiZAR
PUBLICACIONES
- 2022 Póster infográfico. Presentación visual de sensoriZAR
- 2021 Póster infográfico. Presentación visual de sensoriZAR
- 2021 Martínez, I.; Zalba, B.; Trillo-Lado, R.; Blanco, T.; Cambra, D.; Casas, R. Internet of Things (IoT) as Sustainable Development Goals (SDG) Enabling Technology towards Smart Readiness Indicators (SRI) for University Buildings. Sustainability 2021, 13 (14), 7647; https://doi.org/10.3390/su13147647
Abstract. Non-residential buildings contribute to around 20% of the total energy consumed in Europe. This consumption continues to increase globally. Smart building proposals (focused on Nearly Zero Energy Building (NZEB), air quality monitoring, energy saving with thermal comfort, etc.) were already necessary before 2020, and the pandemic has made this research and development area more essential. Furthermore, the need to meet the Sustainable Development Goals (SDG) and obtain technological solutions based on the Internet of Things (IoT) requires holistic contributions through real installations that serve as spaces for measuring, testing, study and research. This article proposes a “measure–analyse–decide and act” methodology to quantify the Smart Readiness Indicator (SRI) for university buildings as a reference environment for energy efficiency and COVID-19 prevention models. Two conceptual spaces (physical and digital) within two dimensions (users and infrastructures) are designated over an IoT three-level model (information acquisition, interoperable communication, and data-driven decision). An IoT ecosystem (sensoriZAR) was implemented as a proof-of-concept of a smart campus at the University of Zaragoza, Spain. Focused on CO2 and energy consumption monitoring, the results showed effectiveness through real installations, demonstrating the IoT potential as SDG-enabling technologies. These contributions allow not only experimental lab tests (from the authors’ expertise in several specialties of Industrial, Mechanical, Design, Thermal, Electrical, Electronic, Computer and Telecommunication Engineering) but also a reference model for direct application in academic works, research projects and institutional initiatives, extendable to professional environments, buildings and cities.
RECURSOS
- API de intercambio de datos. Descargar API. Disponible próximamente.
- Función MatLab de análisis de datos. Descargar MatLab. Disponible próximamente.
- Subconjunto de datos de sensoriZAR. Descargar CSV. Disponible próximamente.
INFORMES TÉCNICOS
- Análisis de temperatura y CO2. Descargar informe PDF. Análisis del funcionamiento de la instalación de climatización a partir de datos de temperatura y CO2.