DT-BEMS: Digital twin-enabled building energy management system for information fusion and energy efficiency DOI

Jaemin Hwang,

Jiwon Kim, Sungmin Yoon

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136162 - 136162

Published: April 1, 2025

Language: Английский

Building digital twinning: Data, information, and models DOI Creative Commons
Sungmin Yoon

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 76, P. 107021 - 107021

Published: June 8, 2023

This study proposes a novel framework and methodology for building digital twinning (BDT) over the life cycle of building. It aims to establish an intrinsic twin in sector, considering inherent characteristics industry compared with other industries, such as manufacturing. Thus, includes elements, functional requirements, enabling techniques provides in-depth insight into implementation modeling operations. The key elements comprise data, information, mathematical models. In terms requirements include transfer, extension/augmentation, correction/update. These are identified discussed, selected orchestrated twins fulfill requirements. Digital methodologies strategies suggested each stage (i.e., design, commissioning, operation) models (DIM) overcome challenges real Future research directions discussed realize digitalization.

Language: Английский

Citations

45

In-situ sensor calibration for building HVAC systems with limited information using general regression improved Bayesian inference DOI
Guannan Li,

Jiahao Xiong,

Rui Tang

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 234, P. 110161 - 110161

Published: March 5, 2023

Language: Английский

Citations

28

Neural network-based nonintrusive calibration for an unobserved model in digital twin-enabled building operations DOI
Jabeom Koo, Sungmin Yoon

Automation in Construction, Journal Year: 2024, Volume and Issue: 159, P. 105261 - 105261

Published: Jan. 12, 2024

Language: Английский

Citations

13

Comprehensive transferability assessment of short-term cross-building-energy prediction using deep adversarial network transfer learning DOI
Guannan Li,

Yubei Wu,

Sungmin Yoon

et al.

Energy, Journal Year: 2024, Volume and Issue: 299, P. 131395 - 131395

Published: April 23, 2024

Language: Английский

Citations

11

Virtual Building Models in built environments DOI Creative Commons
Sungmin Yoon

Developments in the Built Environment, Journal Year: 2024, Volume and Issue: 18, P. 100453 - 100453

Published: April 1, 2024

The global building sector plays a pivotal role in addressing sustainability, climate change, and carbon neutrality. This study introduces the original concept of virtual models (VBMs) throughout lifecycle industry, considering unique characteristics this industry. VBMs are defined as mathematical that represent physical behavior buildings their lifecycle. These consist subvirtual operational environments target building, encompassing variables, equipment, systems, indoor environments, structural material behaviors. can contribute to achieving existing concepts information modeling, digital twins, cyber-physical systems within operations, communities, environments. In study, categorized into five aspects: model types, interactions, integrations, levels detail (LODs). LODs classified (LOD100, LOD200, LOD300, LOD350, LOD400) depending on primary coverage across entire building. Virtual modeling methodologies proposed aspects achieve higher or intended LOD states from both academic industrial perspectives. Finally, future research directions discussed drive shape industry through transformations.

Language: Английский

Citations

11

Balancing construction and operational carbon emissions: Evaluating neighbourhood renovation strategies DOI Creative Commons
Javier García-López, Miguel Hernández-Valencia, Jorge Roa-Fernández

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 94, P. 109993 - 109993

Published: June 28, 2024

Compliance with the global decarbonisation commitments set out in Horizon 2050 undoubtedly involves optimising conditions of housing stock. In this respect, massive energy renovation obsolete blocks southern EU countries holds key for achievement such compliance. This research strives to demonstrate suitability intervention strategies at district scale. For purpose, an innovative methodology that combines open data, Geographic Information Systems (GIS), Urban Energy Modelling (UBEM), and Life Cycle Assessment (LCA) is proposed tested a case study, whilst considering several new-building hypotheses. As approach, study concurrently analyses greenhouse gas emissions arising from both use-related consumption (operational carbon footprint) construction process (embodied footprint). dual perspective provides added value results obtained, since it offers more comprehensive representation reality. Based on LCA UBEM models, unveils entire impact residential use combined either footprint or new buildings. The analysis reveals total emissions, encompassing embodied operational aspects, are lower retrofitting existing buildings when compared construction, up 2050. Remarkably, preference persists even as far 2100. underscores critical importance upgrading stock order achieve ambitious goal net-zero by

Language: Английский

Citations

11

In situ model fusion for building digital twinning DOI
Sungmin Yoon, Jabeom Koo

Building and Environment, Journal Year: 2023, Volume and Issue: 243, P. 110652 - 110652

Published: July 21, 2023

Language: Английский

Citations

23

Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations DOI
Jabeom Koo, Sungmin Yoon

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 59, P. 102239 - 102239

Published: Nov. 11, 2023

Language: Английский

Citations

19

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities DOI Creative Commons
Boris Kantsepolsky, Itzhak Aviv

Smart Cities, Journal Year: 2024, Volume and Issue: 7(1), P. 277 - 301

Published: Jan. 22, 2024

The vital role of civil engineering is to enable the development modern cities and establish foundations for smart sustainable urban environments future. Advanced sensing technologies are among instrumental methods used enhance performance infrastructures address multifaceted challenges future cities. Through this study, we discussed shortcomings traditional sensors in four primary domains: construction, energy, water, transportation. Then, investigated summarized potential quantum contribute revolutionize management infrastructures. For water sector, advancements expected monitoring quality pressure sewage In energy may facilitate renewables integration improve grid stability buildings’ efficiency. most promising progress construction field ability identify subsurface density underground structures. transportation, these create many fresh avenues real-time traffic mobility solutions. As one first-in-the-field studies offering adoption across domains engineering, research establishes basis discourse about scope timeline deploying real-world applications towards transformation engineering.

Language: Английский

Citations

8

Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations DOI

Hakjong Shin,

Young Hoon Kwak

Automation in Construction, Journal Year: 2024, Volume and Issue: 161, P. 105326 - 105326

Published: Feb. 21, 2024

Language: Английский

Citations

8