Digital twins for performance management in the built environment

Petri, Ioan; Rezgui, Yacine; Ghoroghi, Ali; Alzahrani, Ateyah

doi:10.1016/j.jii.2023.100445

Cited by 19 publications

(14 citation statements)

References 41 publications

(40 reference statements)

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“…The imperative is to target DT design beyond big data storage, but rather be "fit for purpose" to achieve Earth system simulations and observation capability on a new standard not seen before. 53 DTs were designed to investigate the impact of weather and climate on urban 54,55 and natural environments. 56 Despite the multiple reports on weather and climate DTs and their obvious relation to agriculture, specific agricultural DTs seem to be missing in the literature, as far as we could investigate.…”

Section: Digital Twins In Agricultural Production: Application Demons...mentioning

confidence: 99%

“…The imperative is to target DT design beyond big data storage, but rather be “fit for purpose” to achieve Earth system simulations and observation capability on a new standard not seen before . DTs were designed to investigate the impact of weather and climate on urban , and natural environments …”

Section: Digital Twins In Agricultural Production: Application Demons...mentioning

confidence: 99%

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Digital Twins in Agriculture: Orchestration and Applications

Escribà-Gelonch,

Liang,

van Schalkwyk

et al. 2024

J. Agric. Food Chem.

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Digital Twins have emerged as an outstanding opportunity for precision farming, digitally replicating in real-time the functionalities of objects and plants. A virtual replica of the crop, including key agronomic development aspects such as irrigation, optimal fertilization strategies, and pest management, can support decision-making and a step change in farm management, increasing overall sustainability and direct water, fertilizer, and pesticide savings. In this review, Digital Twin technology is critically reviewed and framed in the context of recent advances in precision agriculture and Agriculture 4.0. The review is organized for each step of agricultural lifecycle, edaphic, phytotechnologic, postharvest, and farm infrastructure, with supporting case studies demonstrating direct benefits for agriculture production and supply chain considering both benefits and limitations of such an approach. Challenges and limitations are disclosed regarding the complexity of managing such an amount of data and a multitude of (often) simultaneous operations and supports.

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Section: Digital Twins In Agricultural Production: Application Demons...mentioning

confidence: 99%

Section: Digital Twins In Agricultural Production: Application Demons...mentioning

confidence: 99%

Digital Twins in Agriculture: Orchestration and Applications

Escribà-Gelonch,

Liang,

van Schalkwyk

et al. 2024

J. Agric. Food Chem.

View full text Add to dashboard Cite

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“…Those are the primary underpinnings and enablers of the digital economy and associated concepts such as smart infrastructures [12], smart cities [3], smart manufacturing [13,14], and the (industrial) metaverse [15]. Modern digital industries are heavily using industrial IoT ecosystems for digital twins, smart manufacturing, and digital supply chains [16][17][18][19].…”

Section: Securing the Digital Worldmentioning

confidence: 99%

Securing the Digital World: Protecting Smart Infrastructures and Digital Industries with Artificial Intelligence (Ai)-Enabled Malware and Intrusion Detection

Schmitt

2023

Preprint

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“…First, improving the buildings and their physical performance characteristics; second, optimizing the balance between functional requirements and energy demands and environmental impacts. It means that, on the one hand, built heritage needs to be maintained and improved in terms of performance to ensure its effective use [18,19]. On the other hand, administrations must meet additional functional needs for optimizing logistics and planning occupancy and maintenance while minimizing operational costs and considering the relationship with the urban context and its services.…”

Section: Introductionmentioning

confidence: 99%

Building Information Modeling and Building Performance Simulation-Based Decision Support Systems for Improved Built Heritage Operation

et al. 2023

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Adapting outdated building stocks’ operations to meet current environmental and economic demands poses significant challenges that, to be faced, require a shift toward digitalization in the architecture, engineering, construction, and operation sectors. Digital tools capable of acquiring, structuring, sharing, processing, and visualizing built assets’ data in the form of knowledge need to be conceptualized and developed to inform asset managers in decision-making and strategic planning. This paper explores how building information modeling and building performance simulation technologies can be integrated into digital decision support systems (DSS) to make building data accessible and usable by non-digital expert operators through user-friendly services. The method followed to develop the digital DSS is illustrated and then demonstrated with a simulation-based application conducted on the heritage case study of the Faculty of Engineering in Bologna, Italy. The analysis allows insights into the building’s energy performance at the space and hour scale and explores its relationship with the planned occupancy through a data visualization approach. In addition, the conceptualization of the DSS within a digital twin vision lays the foundations for future extensions to other technologies and data, including, for example, live sensor measurements, occupant feedback, and forecasting algorithms.

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Digital twins for performance management in the built environment

Cited by 19 publications

References 41 publications

Digital Twins in Agriculture: Orchestration and Applications

Digital Twins in Agriculture: Orchestration and Applications

Securing the Digital World: Protecting Smart Infrastructures and Digital Industries with Artificial Intelligence (Ai)-Enabled Malware and Intrusion Detection

Building Information Modeling and Building Performance Simulation-Based Decision Support Systems for Improved Built Heritage Operation

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