Transforming a Heritage Building into a Living Laboratory: A Case Study of Monitoring

Carlos Naya, Sara Dorregaray-Oyaregui (), Fernando Alonso, Juan Luis Roquette, Jose María Yoldi and César Martín-Gómez
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Carlos Naya: Department of Theory, Projects and Urbanism, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain
Sara Dorregaray-Oyaregui: Department of Construction, Building Services and Structures, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain
Fernando Alonso: Department of Theory, Projects and Urbanism, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain
Juan Luis Roquette: Department of Theory, Projects and Urbanism, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain
Jose María Yoldi: Department of Construction, Building Services and Structures, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain
César Martín-Gómez: Department of Construction, Building Services and Structures, Campus Universitario, Universidad de Navarra, 31008 Pamplona, Spain

Energies, 2025, vol. 18, issue 14, 1-18

Abstract: This paper investigates integrating a sensory data model for managing an existing 50-year-old building. A primary challenge in retrofitting older structures is the optimal deployment of high-quality sensors, systematic data acquisition, and subsequent data management. To address this, the study implemented a network of over 50 sensors connected via 270 m of wired infrastructure, deliberately avoiding wireless transmission to ensure data reliability. This configuration generates 5568 data points daily, which are archived on a dedicated server. The data is planned for integration into the Campus Geographical Information System (GIS), enabling private and public access. A methodology was employed, involving the strategic placement of sensors based on building use patterns, continuous data monitoring, and iterative sensor performance evaluation. The findings from the study indicate that integrating sensory data through this structured approach significantly enhances building management capabilities. Specifically, the results demonstrate improved energy efficiency and environmental performance, which is particularly relevant for public and educational facilities. The research highlights that a data-driven, monitoring-based management system can optimize operational functions and inform future retrofitting strategies for aging buildings.

Keywords: monitoring; energy; consumption; management; methodology; existing building; DoCoMoMo (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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