BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase

Hu, Zhen-Zhong; Tian, Pei-Long; Li, Sun-Wei; Zhang, Jianping

doi:10.1016/j.advengsoft.2017.08.007

Cited by 152 publications

(95 citation statements)

References 21 publications

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“…This sub-category focuses on identifying the FM information requirements for successful facilities information management through BIM. The current research focused on very specific information requirements by identifying the required information of: healthcare facilities [38][39][40][41], HVAC systems [42][43][44], the building handover process [45][46][47][48][49]. Only one article was found that focused on creating a generic set of information requirements for a successful information exchange process [50].…”

Section: Sub-category: Information Requirementsmentioning

confidence: 99%

Building information modeling for facilities management: A literature review and future research directions

Matarneh¹,

Danso-Amoako²,

Al-Bizri³

et al. 2019

Journal of Building Engineering

126

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Section: Sub-category: Information Requirementsmentioning

confidence: 99%

Building information modeling for facilities management: A literature review and future research directions

Matarneh¹,

Danso-Amoako²,

Al-Bizri³

et al. 2019

Journal of Building Engineering

126

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“…Kim and Yu (2016) proposed a segmentation process to divide curved walls in IFC models into segmented straight walls for building energy analysis. Hu et al (2017) utilized several solutions, such as the logic chain and a transformation algorithm from BIM to Geographic Information System (GIS), to promote interoperability between MEP-based documents and intelligent MEP models. Although plenty of research work has been conducted to improve data interoperability between heterogeneous software tools, interoperability issues do exist in the AEC/ FM industry -at least it is not as accurate as users expected.…”

Section: Related Studies On Data Interoperabilitymentioning

confidence: 99%

Interoperability Analysis of Ifc-Based Data Exchange Between Heterogeneous Bim Software

Lai

Deng

2018

Journal of Civil Engineering and Management

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Traditionally, the one-to-one interaction between heterogeneous software has become the most commonly used method for multi-disciplinary collaboration in building projects, resulting in numerous data interfaces, different data formats, and inefficient collaboration. As the prevalence of Building Information Modeling (BIM) increases in building projects, it is expected that the exchange of Industry Foundation Classes (IFC)-based data can smoothly take place between heterogeneous BIM software. However, interoperability issues frequently occur during bidirectional data exchanges using IFC. Hence, a data interoperability experiment, including architectural, structural and MEP models from a practical project, was conducted to analyze these issues in the process of data import and re-export between heterogeneous software. According to the results, the fundamental causes of interoperability issues can be concluded as follows: (a) software tools cannot well interpret several objects belonging to other disciplines due to the difference in domain knowledge; (b) software tools have diverse methods to represent the same geometry, properties and relations, leading to inconsistent model data. Furthermore, this paper presents a suggested method for improving the existing bidirectional data sharing and exchange: BIM software tools export models using IFC format, and these IFC models are imported into a common IFC-based BIM platform for data interoperability.

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“…In anticipation of the future decarbonisation of the electricity grid, a desire to move towards electricity-based heat sources (primarily through heat pumps) has emerged in recent times [41], furthering the case for integrated energy approaches [42]. Additionally, more efficient data handling through suitable Building Information Modelling (BIM) methods introduces opportunity for change [43], with the possibility for improved monitoring and diagnostic techniques, such as the Artificial Neural Network (ANN) algorithms developed in [44]. Through the use of intelligent modelling and control techniques, enabled by the increased access to measured data from the buildings and external environment, significant reductions in energy consumption have been reported in [45], with potential savings of approximately 30% achieved through automation.…”

Section: The Built Environmentmentioning

confidence: 99%

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

et al. 2019

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Within the context of the Smart City, the need for intelligent approaches to manage and coordinate the diverse range of supply and conversion technologies and demand applications has been well established. The wide-scale proliferation of sensors coupled with the implementation of embedded computational intelligence algorithms can help to tackle many of the technical challenges associated with this energy systems integration problem. Nonetheless, barriers still exist, as suitable methods are needed to handle complex networks of actors, often with competing objectives, while determining design and operational decisions for systems across a wide spectrum of features and time-scales. This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector. A detailed overview of a framework developed for the EU H2020 funded Sharing Cities project is also provided to illustrate the nature of the design stages encountered and control hierarchies required. The study aims to summarise the current state of computational intelligence in the field of smart energy management, providing insight into the ways in which current barriers can be overcome.

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BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase

Cited by 152 publications

References 21 publications

Building information modeling for facilities management: A literature review and future research directions

Building information modeling for facilities management: A literature review and future research directions

Interoperability Analysis of Ifc-Based Data Exchange Between Heterogeneous Bim Software

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

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