Predicting energy consumption using current BIM software
Апстракт
Abstract: The Building Information Modeling software accompanied with energy consumption prediction applications are recognized as technology that will help building industry to become more efficient. To test that claim we performed energy consumption simulation on the single building model using currently available BIM applications and software energy analysis tools. The results from the test runs are show significant variation, even within different versions of the same application. The paper discusses on the reasons for that variation and how that influences use of the BIM tools in the combination with software energy analysis tools.
Кључне речи:
Building Information Modeling / BIM / energy analysis / ArchiCAD / Revit / simulation results comparisonИзвор:
Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе, 2015, 287-290Издавач:
- Belgrade : Faculty of Mechanical Engineering
Колекције
Институција/група
Inovacioni centarTY - CONF AU - Jarić, Marko AU - Budimir, Nikola AU - Svetel, Igor PY - 2015 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4394 AB - Abstract: The Building Information Modeling software accompanied with energy consumption prediction applications are recognized as technology that will help building industry to become more efficient. To test that claim we performed energy consumption simulation on the single building model using currently available BIM applications and software energy analysis tools. The results from the test runs are show significant variation, even within different versions of the same application. The paper discusses on the reasons for that variation and how that influences use of the BIM tools in the combination with software energy analysis tools. PB - Belgrade : Faculty of Mechanical Engineering C3 - Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе T1 - Predicting energy consumption using current BIM software EP - 290 SP - 287 UR - https://hdl.handle.net/21.15107/rcub_machinery_4394 ER -
@conference{ author = "Jarić, Marko and Budimir, Nikola and Svetel, Igor", year = "2015", abstract = "Abstract: The Building Information Modeling software accompanied with energy consumption prediction applications are recognized as technology that will help building industry to become more efficient. To test that claim we performed energy consumption simulation on the single building model using currently available BIM applications and software energy analysis tools. The results from the test runs are show significant variation, even within different versions of the same application. The paper discusses on the reasons for that variation and how that influences use of the BIM tools in the combination with software energy analysis tools.", publisher = "Belgrade : Faculty of Mechanical Engineering", journal = "Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе", title = "Predicting energy consumption using current BIM software", pages = "290-287", url = "https://hdl.handle.net/21.15107/rcub_machinery_4394" }
Jarić, M., Budimir, N.,& Svetel, I.. (2015). Predicting energy consumption using current BIM software. in Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе Belgrade : Faculty of Mechanical Engineering., 287-290. https://hdl.handle.net/21.15107/rcub_machinery_4394
Jarić M, Budimir N, Svetel I. Predicting energy consumption using current BIM software. in Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе. 2015;:287-290. https://hdl.handle.net/21.15107/rcub_machinery_4394 .
Jarić, Marko, Budimir, Nikola, Svetel, Igor, "Predicting energy consumption using current BIM software" in Proceedings / 6th International Symposium of Industrial Engineering - SIE 2015, 24th-25th September, 2015, Belgradе (2015):287-290, https://hdl.handle.net/21.15107/rcub_machinery_4394 .