Xiong, Yunjie (2020) A BIM-based interoperability platform in support of building operation and energy management. PhD thesis, Virginia Tech, USA.
Abstract
Building energy efficiency is progressively becoming a crucial topic in the architecture, engineering, and construction (AEC) sector. Energy management tools have been developed to promise appropriate energy savings. Building energy simulation (BES) is a tool mainly used to analyze and compare the energy consumption of various design/operation scenarios, while building automation systems (BAS) works as another energy management tool to monitor, measure and collect operational data, all in an effort to optimize energy consumption. By integrating the energy simulated data and actual operational data, the accuracy of a building energy model can be increased while the calibrated energy model can be applied as a benchmark for guiding the operational strategies. This research predicted that building information modeling (BIM) would link BES and BAS by acting as a visual model and a database throughout the lifecycle of a building. The intent of the research was to use BIM to document energy-related information and to allow its exchange between BES and BAS. Thus, the energy-related data exchange process would be simplified, and the productive efficiency of facility management processes would increase. A systematic literature review has been conducted in investigating the most popular used data formats and data exchange methods for the integration of BIM/BES and BAS, the results showed the industry foundation classes (IFC) was the most common choice for BIM tools mainly and database is a key solution for managing huge actual operational datasets, which was a reference for the next step in research. Then a BIM-based framework was proposed to supporting the data exchange process among BIM/BES/BAS. 4 modules including BIM Module, Operational Data Module, Energy Simulation Module and Analysis and Visualization Module with an interface were designed in the framework to document energy-related information and to allow its exchange between BES and BAS. A prototype of the framework was developed as a platform and a case study of an entire office suite was conducted using the platform to validate this framework. The results showed that the proposed framework enables automated or semi-automated multiple-model development and data analytics processes. In addition, the research explored how BIM can enhance the application of energy modeling during building operation processes as a means to improve overall energy performance and facility management productivity.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Reichard, Georg; Roofigari-Esfahan, Nazila; Turkaslan Bulbul, Muhsine Tanyel and Jazizadeh, Farrokh |
| Uncontrolled Keywords: | BIM; building energy simulation; building automation system; IFC |
| Index terms: | energy-saving, database, accuracy, industry foundation classes, energy consumption, integration, dataset, productivity, lifecycle, prototype, efficiency, case study, interoperability, data exchange, energy simulation, building operation, building automation, platform, strategy, visualization, building energy simulation, model development, energy modelling, building information modelling, energy efficiency, becoming, energy performance, systematic literature review, energy management, energy model, module, building energy model |
| Subjects: | design practice, philosophical process, data exchange, performance management, research evaluation and metrics, organizational analysis, architectural elements, energy systems, management, information systems, data management, digital design, data collection methods, computational design, analytical methods, sustainability and energy, systems and processes, professional development, modelling and simulation, automation and robotics, project delivery |
| Topics: | Information Management, Design Practice, Sustainability, Quality Management, Digital Applications, Business Strategy, Engineering Principles, Organizational Design, Project Management, Research Practice |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here