A virtual reality integrated design approach to improving occupancy information integrity for closing the building energy performance gap

Niu, Shuangxia; Pan, Wei; Zhao, Yiyuan

doi:10.1016/j.scs.2016.03.010

Cited by 104 publications

(46 citation statements)

References 36 publications

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“…Furthermore, some studies used IVE for improving the degree of presence in lighting condition assessment and energy management [61,62]. Researchers developed a design approach combining VR and design with an intent concept that can help in closing the energy performance gap caused by occupants' behavior [35]. The results indicate that the developed framework can help designers detect design patterns that can predict actual occupant behaviors.…”

Section: Ar/vr In Aecmentioning

confidence: 99%

“…For example, AR/VR has applications in manufacturing [20,21], retail [22,23], mining [24,25], education [26][27][28], and healthcare, especially for simulating surgeries [29][30][31]. Recent studies indicate the benefits of AR/VR in the AEC industry by demonstrating potential applications, such as safety training [32], visualization [33,34], communication [15], and energy management [35]. Although research suggests AR/VR technologies can be very effective, the AEC industry has been very slow in adopting these technologies, which could be partly due to lack of feasibility, examining the actual cost of implementation versus an increase in profit.The main objectives of this study are to (1) determine the trends in adoption of AR/VR technologies in the AEC industry, (2) predict the future and vision of the industry experts on the adoption of these technologies, and (3) detect the limitations of the utilization of these technologies.…”

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confidence: 99%

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Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry

Noghabaei

Heydarian

Balali

et al. 2020

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132

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With advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many potential applications in the Architecture, Engineering, and Construction (AEC) industry. However, the AEC industry, relative to other industries, has been slow in adopting AR/VR technologies, partly due to lack of feasibility studies examining the actual cost of implementation versus an increase in profit. The main objectives of this paper are to understand the industry trends in adopting AR/VR technologies and identifying gaps within the industry. The identified gaps can lead to opportunities for developing new tools and finding new use cases. To achieve these goals, two rounds of a survey at two different time periods (a year apart) were conducted. Responses from 158 industry experts and researchers were analyzed to assess the current state, growth, and saving opportunities for AR/VR technologies for the AEC industry. The findings demonstrate that older generations are significantly more confident about the future of AR/VR technologies and they see more benefits in AR/VR utilization. Furthermore, the research results indicate that Residential and commercial sectors have adopted these tools the most, compared to other sectors and institutional and transportation sectors had the highest growth from 2017 to 2018. Industry experts anticipated a solid growth in the use of AR/VR technologies in 5 to 10 years, with the highest expectations towards healthcare. Ultimately, the findings show a significant increase in AR/VR utilization in the AEC industry from 2017 to 2018.

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Section: Ar/vr In Aecmentioning

confidence: 99%

mentioning

confidence: 99%

Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry

Noghabaei

Heydarian

Balali

et al. 2020

Data

132

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show abstract

“…Lastly, EPGs are caused by a delay in verification techniques and performance measurements for each specific technology once the building is constructed. [20] Domestic Gas, Electricity Monitoring Menezes et al [21] Non-Domestic Ventilation Post-Occupancy Evaluation (POE) Olivia et al [22] Hospital, School Indoor Comfort POE, Monitoring Choi et al [23] Non-Domestic Ventilation POE Hossein et al [24] Non-Domestic Electricity POE Salehi et al [25] Non-Domestic Ventilation Dynamic Simulation Niu et al [26] Domestic Ventilation POE Herrando et al [27] Non-Domestic Ventilation Dynamic Simulation Min et al [28] Non-Domestic Air Handling Unit Facility Management Review…”

Section: Engineering Analysis Methods and Its Thresholdmentioning

confidence: 99%

Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

et al. 2019

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Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

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“…Two production-related decision criteria are identified, which are: (1) The improvement of working environment and productivity is a very important production-related criterion. Heerwagen (2000) pointed out that occupants who are satisfied with the overall environmental quality of their workplace are widely assumed to be more productivity.…”

Section: Production-related Decision Criteriamentioning

confidence: 99%

A multi-criteria decision framework for the selection of low carbon building measures for office buildings in Hong Kong

Zhang

Pan

Kumaraswamy

2014

International Journal of Energy Sector Management

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Access to this document was granted through an Emerald subscription provided by emerald-srm:412925 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper aims to develop a multi-criteria decision framework (MCDF) for the selection of appropriate low carbon building (LCB) measures for office buildings in Hong Kong. Design/methodology/approach -The research was carried out through a critical literature review and a case study with a low carbon office building project. Findings -In total, 26 LCB measures were identified, under the five groups of building envelope, heating, ventilating and air conditioning system, lighting and elevators, renewable energy and appliances. Also identified were 16 decision criteria, centred on the implementation-related, economic, environmental and production-related aspects. The identified measures and criteria, coupled with the information and business processes of office building project delivery, formed the conceptual MCDF. The MCDF was also verified using an office building project. Research limitations/implications -The limitation of this research was the absence of the energy bill which could help to further verify the model in the case study. Originality/value -The developed framework should add value to knowledge of the use of multi-criteria decision-making methods and support the design decision-making of selecting LCB measures for office building projects in Hong Kong. The findings should also inform LCB design in other hot and humid subtropical urban environments.

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A virtual reality integrated design approach to improving occupancy information integrity for closing the building energy performance gap

Cited by 104 publications

References 36 publications

Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry

Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry

Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

A multi-criteria decision framework for the selection of low carbon building measures for office buildings in Hong Kong

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