Smart Monitoring for Retrofitted Public Buildings: A Multiscale, Role-Adaptive Framework

This paper presents a multiscale monitoring and management framework designed to enhance energy and indoor environmental performance in retrofitted public schools. The proposed system comprises three layers: (i) a cost-effective sensor network deployed at building, room, and device levels; (ii) a data processing layer supporting redundancy, fault detection, and consistency scoring; and (iii) a role-adaptive interface providing customized dashboards for managers, educators, and students. The framework was deployed in two Mediterranean schools undergoing photovoltaic (PV) integration and envelope rehabilitation. The monitoring layer captures key parameters including temperature, humidity, CO2, PM2.5, occupancy, and circuit-level energy use, enabling multiscale analysis of demand-side behavior and local PV utilization. Data from a full academic year demonstrate a reduction in lighting energy use of up to 22%, classroom-level savings of 10–15%, and an increase in PV self-consumption from 60% to 75%. These improvements were achieved without compromising indoor comfort, as validated by stable environmental conditions aligned with recognized thresholds. The synchronized collection of energy and environmental data allows transparent evaluation of behavioral engagement, operating patterns, and system effectiveness. This research shows that cost-effective, role-adaptive monitoring platforms can support resilience and decarbonization goals in public-sector buildings, particularly where commercial building management systems are financially or technically unfeasible.

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Publication Details

Journal
Applied Sciences
Published
2025-11-24
DOI
https://doi.org/10.3390/app152312469
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Smart Monitoring for Retrofitted Public Buildings: A Multiscale, Role-Adaptive Framework

Erez Gal, Marina Grigorovitch, Vladislav Grigorovitch
Applied Sciences
Building Energy and Comfort Optimization
article

Smart Monitoring for Retrofitted Public Buildings: A Multiscale, Role-Adaptive Framework

Erez Gal, Marina Grigorovitch, Vladislav Grigorovitch
article en

Abstract

This paper presents a multiscale monitoring and management framework designed to enhance energy and indoor environmental performance in retrofitted public schools. The proposed system comprises three layers: (i) a cost-effective sensor network deployed at building, room, and device levels; (ii) a data processing layer supporting redundancy, fault detection, and consistency scoring; and (iii) a role-adaptive interface providing customized dashboards for managers, educators, and students. The framework was deployed in two Mediterranean schools undergoing photovoltaic (PV) integration and envelope rehabilitation. The monitoring layer captures key parameters including temperature, humidity, CO2, PM2.5, occupancy, and circuit-level energy use, enabling multiscale analysis of demand-side behavior and local PV utilization. Data from a full academic year demonstrate a reduction in lighting energy use of up to 22%, classroom-level savings of 10–15%, and an increase in PV self-consumption from 60% to 75%. These improvements were achieved without compromising indoor comfort, as validated by stable environmental conditions aligned with recognized thresholds. The synchronized collection of energy and environmental data allows transparent evaluation of behavioral engagement, operating patterns, and system effectiveness. This research shows that cost-effective, role-adaptive monitoring platforms can support resilience and decarbonization goals in public-sector buildings, particularly where commercial building management systems are financially or technically unfeasible.

Applied SciencesVol. 15(23)
Ben-Gurion University of the Negev (IL), Sami Shamoon College of Engineering (IL)
Openalex Percentile: Top 61%
Building Energy and Comfort Optimization
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Smart Monitoring for Retrofitted Public Buildings: A Multiscale, Role-Adaptive Framework — Erez Gal, Marina Grigorovitch, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS