scholarly journals Improving Building Energy Footprint and Asset Performance Using Digital Twin Technology

2021 ◽  
pp. 1-8
Author(s):  
Mohsen A Jafari ◽  
Ali Ghofrani ◽  
Esmat Zaidan ◽  
Ammar Abulibdeh
Keyword(s):  
Asset Management ◽  
Data Exchange ◽  
Building Performance ◽  
Digital Twin ◽  
Business Objective ◽  
Control Schemes ◽  
Operations And Maintenance ◽  
Value Model ◽  
Fully Connected ◽  
New Buildings

This article presents a novel architecture by integrating the existing asset management theory with building simulation technology for effective maintenance strategies and operational control schemes. Building performance, value and energy usage collectively define the criteria for optimization. Building assets are partially or fully connected with building Internet of Things (IoT) and their real time conditions are accessible at all times. An asset’s value is derived from the functional contributions of that asset to the overall business objective of the system that it is part of. The architecture consists of digital twin, analytics and Business Value Model (BVM) engines and in-between gateways for data exchange. The paper provides illustrative examples for how the platform can serve operations and maintenance (O&M) objectives of existing and new buildings.

scholarly journals Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

2021 ◽  
Author(s):  
Amon Göppert ◽  
Lea Grahn ◽  
Jonas Rachner ◽  
Dennis Grunert ◽  
Simon Hort ◽  
...  
Keyword(s):  
Data Exchange ◽  
Manufacturing Systems ◽  
Digital Model ◽  
Use Case ◽  
Digital Twin ◽  
Planning And Control ◽  
Digital Twins ◽  
Definition Of ◽  
Fully Connected ◽  
And Control

AbstractThe demand for individualized products drives modern manufacturing systems towards greater adaptability and flexibility. This increases the focus on data-driven digital twins enabling swift adaptations. Within the framework of cyber-physical systems, the digital twin is a digital model that is fully connected to the physical and digital assets. A digital model must follow a standardization for interoperable data exchange. Established ontologies and meta-models offer a basis in the definition of a schema, which is the first phase of creating a digital twin. The next phase is the standardized and structured modeling with static use-case specific data. The final phase is the deployment of digital twins into operation with a full connection of the digital model with the remaining cyber-physical system. In this deployment phase communication standards and protocols provide a standardized data exchange. A survey on the state-of-the-art of these three digital twin phases reveals the lack of a consistent workflow from ontology-driven definition to standardized modeling. Therefore, one goal of this paper is the design of an end-to-end digital twin pipeline to lower the threshold of creating and deploying digital twins. As the task of establishing a communication connection is highly repetitive, an automation concept by providing structured protocol data is the second goal. The planning and control of a line-less assembly system with manual stations and a mobile robot as resources and an industrial dog as the product serve as exemplary digital twin applications. Along this use-case the digital twin pipeline is transparently explained.

scholarly journals Gemini Principles-Based Digital Twin Maturity Model for Asset Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Questionnaire Survey ◽  
New Technologies ◽  
Maturity Model ◽  
Maturity Models ◽  
Digital Twin ◽  
Project Level

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.

scholarly journals Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange

2016 ◽  
Vol 49 (30) ◽  
pp. 12-17 ◽  
Author(s):  
Greyce N. Schroeder ◽  
Charles Steinmetz ◽  
Carlos E. Pereira ◽  
Danubia B. Espindola
Keyword(s):  
Data Exchange ◽  
Data Modeling ◽  
Twin Data ◽  
Digital Twin

GREEN CLEANING: AN ESSENTIAL ASPECT OF MALAYSIAN GREEN BUILDINGS

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Nurul Nadiah Zainol ◽  
Izran Sarrazin Mohammad ◽  
Maizan Baba ◽  
Neo Bee Woon ◽  
Abdul Qayyum Nazri
Keyword(s):  
Assessment Tool ◽  
Green Building ◽  
Green Buildings ◽  
Building Performance ◽  
Indoor Environmental Quality ◽  
Green Cleaning ◽  
Maintenance Stage ◽  
Operations And Maintenance ◽  
Reduce Energy Consumption ◽  
Specific Regulation

This paper discusses the importance of green cleaning for green buildings during the operations and maintenance stage. The investment on green buildings is often driven by the aim to reduce energy consumption. However, many tend to overlook the importance of the operations and maintenance aspect of the building, particularly the green cleaning aspect. Green cleaning is a major contributor to Indoor Environmental Quality (IEQ) where IEQ is one of the important criteria that should be considered during the assessment of green building performance. In Malaysia, there is no specific regulation set for green cleaning. Green Building Index (GBI) tools itself does not specifically highlighting green cleaning in their assessment tool. Thus, based on literature review, this paper discusses the benefits of implementing green cleaning and how green cleaning can contribute to achieving better green building performance.

scholarly journals Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 394-409
Author(s):  
Saikiran Gopalakrishnan ◽  
Nathan W. Hartman ◽  
Michael D. Sangid
Keyword(s):  
Information Exchange ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Relevant Information ◽  
Material Behavior ◽  
Information Network ◽  
Digital Twin ◽  
Model Based ◽  
Feature Information ◽  
Damage Tolerant

AbstractThe digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Model-based definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the product lifecycle (including the design, analysis, manufacturing, in service life, and retirement stages) and can be extended beyond the typical geometry and tolerance information within a computer-aided design. In this paper, the MBDs are extended to include materials information, via dynamic linkages. To this end, a model-based feature information network (MFIN) is created to provide a comprehensive framework that facilitates storing, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerant analysis for a compressor bladed-disk (blisk) is demonstrated, in Ti-6Al-4V blade(s) linear friction welded to the Ti-6Al-4V disk, creating well-defined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructure and residual stress values at the weld regions, this information is accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving data for use within physics-based models (resulting in the opportunity to reduce uncertainty in subsequent prognosis analyses), thereby enabling a digital twin description of the component or system.

scholarly journals The prediction of building performance during earthquakes

2004 ◽  
Vol 37 (3) ◽  
pp. 134-138 ◽  
Author(s):  
R.D. Jury
Keyword(s):  
Seismic Performance ◽  
Seismic Design ◽  
Building Performance ◽  
Insufficient Data ◽  
Actual Performance ◽  
Design Procedures ◽  
Suitable Form ◽  
New Buildings

Procedures for the seismic design of new buildings to achieve a minimum acceptable performance are well established. However, it is concluded in this paper that the actual performance of structures will not be predicted with any certainty using the same procedures, given the uncertainties associated with the assumptions that must be made. Sole reliance on design procedures to predict performance is likely to lead to unnecessary conservatism and this must be taken into account when setting standards for design. It is also concluded that there is currently insufficient data available in a suitable form to enable the correlation between analysis and actual performance to be assessed in any way other than by judgement. The prediction of seismic performance remains very much an art.

scholarly journals DEVELOPING IFC FOR INFRASTRUCTURE: A CASE STUDY OF THREE HIGHWAY ENTITIES

2019 ◽  
Vol IV-4/W8 ◽  
pp. 59-66
Author(s):  
G. S. Floros ◽  
G. Boyes ◽  
D. Owens ◽  
C. Ellul
Keyword(s):  
Asset Management ◽  
Information Exchange ◽  
Data Exchange ◽  
Retaining Wall ◽  
Maintenance Phase ◽  
Future Research ◽  
Industry Foundation Classes ◽  
Research Fields ◽  
Building Information

<p><strong>Abstract.</strong> Modern cities pay particular attention to upscale their infrastructure systems in order to improve the every-day life of their citizens and lead the way towards a more sustainable environment. As part of this, they invest extensive funds in large infrastructure projects which are challenging to deliver as they require an e efficient communication among different professions, in order to share information efficiently throughout the lifecycle of the project, thus highlighting the importance of standardization to maintain consistency and integrity during data exchange. Building Information Modelling (BIM) aims to facilitate the above-mentioned requirements by describing the life-cycle of the project and Industry Foundation Classes (IFC) is the Standard for BIM that enables an efficient storage, management, exchange and visualization of information. However, there are two important challenges that need to be addressed: (i) IFC focuses particularly on buildings and provides limited support for infrastructure elements and (ii) the information exchange aims to describe mostly the construction phase; highlighting the lack of classes that refer to the operation and maintenance phase. Within this context, this paper proposes the extension of Industry Foundation Classes (IFC) for Asset Management in Infrastructure. A method is developed based on a case study of three highway entities: (i) retaining wall, (ii) gantry and (iii) bridge and a conceptual extension is presented. The results are further discussed and recommendations regarding future research fields are proposed.</p>

scholarly journals Development of Digital Twin for Load Center on the Example of Distribution Network of an Urban District

2020 ◽  
Vol 209 ◽  
pp. 02029
Author(s):  
Nikita Tomin ◽  
Victor Kurbatsky ◽  
Vadim Borisov ◽  
Sergey Musalev
Keyword(s):  
Data Exchange ◽  
Physical Object ◽  
Electrical Network ◽  
Urban District ◽  
Automatic Data ◽  
Electrical Grid ◽  
Digital Twin ◽  
Node Network ◽  
Optimization And Control ◽  
And Control

The paper proposes a concept of building a digital twin based on the reinforcement learning method. This concept allows implementing an accurate digital model of an electrical network with bidirectional automatic data exchange, used for modeling, optimization, and control. The core of such a model is an agent (potential digital twin). The agent, while constantly interacting with a physical object (electrical grid), searches for an optimal strategy for active network management, which involves short-term strategies capable of controlling the power supplied by generators and/ or consumed by the load to avoid overload or voltage problems. Such an agent can verify its training with the initial default policy, which can be considered as a teacher’s advice. The effectiveness of this approach is demonstrated on a test 77-node scheme and a real 17-node network diagram of the Akademgorodok microdistrict (Irkutsk) according to the data from smart electricity meters.

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