Mapping failures in energy and environmental performance of buildings

Abstract

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Artificial intelligence for structural glass engineering applications — overview, case studies and future potentials

“…switchable and smart glazing, dynamic shading) (Day and O'Brien 2017). This led to the situation of occupants often being dissatisfied even in the scenario with control strategies and related interactions with automated systems (Luna-Navarro and Overend 2018; Fabi et al 2017;Borgstein et al 2018;Day and O'Brien 2017;Bluyssen et al 2013;Meerbeek et al 2014). Automation of the building in a combination with AI is a promising solution for low-energy buildings through a data-driven yet occupant-informed approach consisting of actuation systems and ubiquitous sensing devices steered by learning AI algorithms.…”

Mejoras al desempeño energético en edificaciones abordando los desafíos actuales del demand-side: Una revisión de contribuciones de Latinoamérica

“…Moreover, occupants' behavior and preferences can be significantly influenced by errors (or failures) in building design and construction and errors in operation and maintenance. In this regard, the authors (Borgstein, Lamberts, & Hensen, 2018) analyzed energy audit results from 33 office buildings, identified 333 failures, and evaluated their impact on occupants. The identified failures concerned building design, construction, operation, and maintenance, where adaptations could mostly amend their impact on performance and occupants' satisfaction in operation and maintenance, i.e., including automated systems, rather than adaptations in design and HVAC system.…”

Review on Fault Detection and Diagnosis Feature Engineering in Building Heating, Ventilation, Air Conditioning and Refrigeration Systems

“…As a complex non-linear industrial system, HVAC&R works in various outdoor weather conditions to meet indoor environmental requirements. Owing to partial loading, frequently changing operations and extreme weather conditions, HVAC&Rs can suffer from various faults [5,6] leading to component failure [7], tube fouling [8], circulating medium leakage [9,10], energy penalties [11][12][13] and performance degradation [14][15][16]. Therefore, researchers have conducted significant fault detection and diagnosis (FDD) studies to improve system operations.…”