Exploring and verifying BIM-based energy simulation for building operations. Issue 8 (26th June 2020)

• Record Type: Journal Article
• Authors: Li, Hong Xian; Ma, Zhiliang; Liu, Hexu; Wang, Jun; Al-Hussein, Mohamed; Mills, Anthony
• Is Part Of: Engineering, construction and architectural management. Volume 27:Issue 8(2020)
• Page Start: 1679
• Page End: 1702
• Publication Date: 2020-06-26
• Subjects: Building information modeling (BIM) -- Energy simulation -- Autodesk Revit -- EnergyPlus -- HOT2000 -- Energy monitoring; Construction industry -- Management -- Periodicals; Engineering -- Management -- Periodicals; Engineering -- Periodicals; Building -- Periodicals; 624.068
• DOI: 10.1108/ECAM-06-2019-0314
• Languages: English
• ISSNs: 0969-9988

Abstract

Abstract : Purpose: The operational phase of a building's lifecycle is receiving increasing attention, as it consumes an enormous amount of energy and results in tremendous detrimental impacts on the environment. While energy simulation can be applied as a tool to evaluate the energy performance of a building in operation, the emergence of Building Information Modeling (BIM) technology is expected to facilitate the evaluation process with predefined and enriched building information. However, such an approach has been confronted by the challenge of interoperability issues among the related application software, including the BIM tools and energy simulation tools, and the results of simulation have been seldom verified due to the unavailability of corresponding experimental data. This study aims to explore the interoperability between the commonly used energy simulation and BIM tools and verifies the simulation approach by undertaking a case study. Design/methodology/approach: With Autodesk Revit and EnergyPlus selected as the commonly used BIM and energy simulation tools, respectively, a valid technical framework of transferring building information between two tools is proposed, and the interoperability issues that occur during the data transfer are studied. The proposed framework is then employed to simulate the energy consumption of a single-family house, and sensitivity analysis and analysis on such parameters as schedule are conducted for building operations to showcase its applicability. Findings: The simulation results are compared with monitored data and the results from another simulation tool, HOT2000; the comparison reveals that EnergyPlus and HOT2000 predict the total energy consumption with a difference from the monitoring data of 8.0 and 7.1%, respectively. Practical implications: This research shows how to efficiently use BIM to support building energy simulation. Relevant stakeholders can learn from this research to avoid data loss during BIM model transformation. Originality/value: This research explores the application of BIM for building energy simulation, compares the simulation results among different tools and validates simulation results using monitored data.