A digital twin architecture for real-time and offline high granularity analysis in smart buildings

Hadjidemetriou, Lenos; Stylianidis, Nearchos; Englezos, D.; Papadopoulos, Panayiotis; Ηλιάδης, Δημήτριος Γ.; Timotheou, Stelios; Polycarpou, Marios M.; Panayiotou, Christos G.

doi:10.1016/j.scs.2023.104795

Cited by 23 publications

(3 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [125] the authors point out the two most important differences between DT and BIM, namely (i) the BIM was designed to improve the efficiency of design and construction, and still is used in these processes, but the DT is designed to monitor physical assets and improve their operational efficiency and provide predictive maintenance and (ii) the BIM was not designed to work with real-time data; therefore, it is used for design and construction facility management, whereas the DT is a dynamic environment, with support for real-time data and ML and AI. Moreover, in [127], Hadjidemetriou et al describe building DT architecture separating four phases:…”

Section: Tactile Internet and Digital Twins With Distributed Automati...mentioning

confidence: 99%

Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

Ożadowicz

2024

Computers

View full text Add to dashboard Cite

Smart home and building systems are popular solutions that support maintaining comfort and safety and improve energy efficiency in buildings. However, dynamically developing distributed network technologies, in particular the Internet of Things (IoT), are increasingly entering the above-mentioned application areas of building automation, offering new functional possibilities. The result of these processes is the emergence of many different solutions that combine field-level and information and communications technology (ICT) networks in various configurations and architectures. New paradigms are also emerging, such as edge and fog computing, providing support for local monitoring and control networks in the implementation of advanced functions and algorithms, including machine learning and artificial intelligence mechanisms. This paper collects state-of-the-art information in these areas, providing a systematic review of the literature and case studies with an analysis of selected development trends. The author systematized this information in the context of the potential development of building automation systems. Based on the conclusions of this analysis and discussion, a framework for the development of the Generic IoT paradigm in smart home and building applications has been proposed, along with a strengths, weaknesses, opportunities, and threats (SWOT) analysis of its usability. Future works are proposed as well.

show abstract

Section: Tactile Internet and Digital Twins With Distributed Automati...mentioning

confidence: 99%

Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

Ożadowicz

2024

Computers

View full text Add to dashboard Cite

show abstract

“…The third phase involves the actual scanning of the building. If 2D drawings are available in any computer-aided design software, for example, AutoCAD, these could be imported to the BIM software application Autodesk Revit, to create a digital 3D geometry (Hadjidemetriou et al, 2023). For this case, where the geometry must be re-established, a scanning technology was utilized.…”

Section: The Model Generation Phasementioning

confidence: 99%

Showcasing a digital twin for higher educational buildings: developing the concept toward human centricity

Bäcklund,

Lundqvist,

Molinari

2024

Front. Built Environ.

View full text Add to dashboard Cite

Digital twin technology is an emerging technology within the built environment. Yet, there are many unexplored opportunities to utilize digital twins for facilitating the transformation toward a climate-neutral building stock while also meeting the expectations from the building occupants. This article presents a case study of a digital twin, developed for an existing commercial building stock of campus areas in Sweden. The overarching purpose of the digital twin is to support both building occupants and building operators. This two-fold human-centric approach represents a novel approach for building digital twins. The digital twin is based on 3D scanning, and together with geospatial data, a real-like navigational indoor environment is created. Three innovative features are presented: the building analysis module, the digital twin mobile application, and the building operations module. The results show that the digital twin improves the building occupant’s experience by supporting navigation and providing access to the room booking system via this dedicated interface. Building management is also benefited by the digital twin through easier access to building data aggregated into one platform and a state-of-the-art analysis tool for optimizing the use of indoor space. The digital twin holds future potential to achieve operational excellence by incorporating feedback mechanisms and utilizing artificial intelligence to enable intelligent fault detection and prevention.

show abstract

“…Buildings worldwide consume a significant amount of electricity and contribute greatly to Greenhouse Gas (GHG) emissions, making them vital in the pursuit of environmental sustainability. They account for about 55% of global electricity usage and contribute to 28% of the CO2 emissions from energy consumption worldwide [129], [143]. Moreover, people tend to spend much of their time in indoor built environments.…”

Section: Introductionmentioning

confidence: 99%

Towards Smart Building Maintenance: Leveraging Multi-Source Data and Digital Twins with Ecological Momentary Assessment

Nojedehi

View full text Add to dashboard Cite

Complaint management, fault detection and diagnosis (FDD) are critical for building performance and occupants' well-being. Facility management addresses these services with work order logs containing occupant complaints and FDD identifying system faults. This thesis enhances these aspects using existing and new data sources.The first section maximizes existing data (Chapters 2 and 3). Text analytics (Chapter 2) is used to create benchmarks for maintenance performance evaluation and transforms data into visual insights. Additionally, facility management-enabled building information models (FM-BIMs) (Chapter 3) integrate maintenance logs with BIM, enhancing decisionmaking through contextual data exchange. A case study is presented to demonstrate the effectiveness of this methodology.The second section employs novel data collection methods and their application in digital twins (Chapters 4 and 5). Cozie smartwatch app representing micro-ecological assessment gathers occupants' thermal comfort and air quality feedback. This data source is integrated with building system sensor data. FDD rulesets utilize this data for fault detection, validated by occupants' accurate feedback. Surveys revealed that occupants seldom report discomfort unless the temperature deviates by 3°C. This approach reduces reporting thresholds, enhancing issue reporting by 29%.Chapter 5 introduces a digital twin framework for maintenance, integrating diverse building system data and real-time insights. Occupant feedback collection methods are diversified through online surveys and a smartwatch app, enhancing indoor quality assessment. The framework supports two tiers of analysis and user interfaces for facility management, demonstrated via a prototype that leverages existing infrastructure. This iii methodology allows facility management agents to develop digital-twin-enabled workflows bringing multiple real-time data streams together to make more informed decisions.In conclusion, this thesis advances complaint management, FDD, and other maintenance practices by innovating existing and new data sources. The proposed methodologies, from text analytics to digital twin frameworks, empower facility management to enhance building performance and occupant satisfaction proactively. iv PrefaceThis integrated thesis consists of five journal papers, four published and one under review.The articles included in this thesis are as follow:

show abstract

A digital twin architecture for real-time and offline high granularity analysis in smart buildings

Cited by 23 publications

References 47 publications

Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

Showcasing a digital twin for higher educational buildings: developing the concept toward human centricity

Towards Smart Building Maintenance: Leveraging Multi-Source Data and Digital Twins with Ecological Momentary Assessment

Contact Info

Product

Resources

About