Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment
Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Choi, Jungsik [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: Biosensors: A novel approach to and recent discovery in detection of cytokines - Mobed, Ahmad ELSEVIER, 2020, an international research journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:72 ; year:2016 ; pages:52-64 ; extent:13 |
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| DOI / URN: |
10.1016/j.autcon.2016.07.004 |
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| 520 | |a Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. | ||
| 520 | |a Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. | ||
| 700 | 1 | |a Shin, Jihye |4 oth | |
| 700 | 1 | |a Kim, Minchan |4 oth | |
| 700 | 1 | |a Kim, Inhan |4 oth | |
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10.1016/j.autcon.2016.07.004 doi GBVA2016015000020.pica (DE-627)ELV035414995 (ELSEVIER)S0926-5805(16)30147-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 570 VZ BIODIV DE-30 fid 44.00 bkl Choi, Jungsik verfasserin aut Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Shin, Jihye oth Kim, Minchan oth Kim, Inhan oth Enthalten in Elsevier Science Publ Mobed, Ahmad ELSEVIER Biosensors: A novel approach to and recent discovery in detection of cytokines 2020 an international research journal Amsterdam [u.a.] (DE-627)ELV004774973 volume:72 year:2016 pages:52-64 extent:13 https://doi.org/10.1016/j.autcon.2016.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 44.00 Medizin: Allgemeines VZ AR 72 2016 52-64 13 045F 690 |
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10.1016/j.autcon.2016.07.004 doi GBVA2016015000020.pica (DE-627)ELV035414995 (ELSEVIER)S0926-5805(16)30147-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 570 VZ BIODIV DE-30 fid 44.00 bkl Choi, Jungsik verfasserin aut Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Shin, Jihye oth Kim, Minchan oth Kim, Inhan oth Enthalten in Elsevier Science Publ Mobed, Ahmad ELSEVIER Biosensors: A novel approach to and recent discovery in detection of cytokines 2020 an international research journal Amsterdam [u.a.] (DE-627)ELV004774973 volume:72 year:2016 pages:52-64 extent:13 https://doi.org/10.1016/j.autcon.2016.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 44.00 Medizin: Allgemeines VZ AR 72 2016 52-64 13 045F 690 |
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10.1016/j.autcon.2016.07.004 doi GBVA2016015000020.pica (DE-627)ELV035414995 (ELSEVIER)S0926-5805(16)30147-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 570 VZ BIODIV DE-30 fid 44.00 bkl Choi, Jungsik verfasserin aut Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Shin, Jihye oth Kim, Minchan oth Kim, Inhan oth Enthalten in Elsevier Science Publ Mobed, Ahmad ELSEVIER Biosensors: A novel approach to and recent discovery in detection of cytokines 2020 an international research journal Amsterdam [u.a.] (DE-627)ELV004774973 volume:72 year:2016 pages:52-64 extent:13 https://doi.org/10.1016/j.autcon.2016.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 44.00 Medizin: Allgemeines VZ AR 72 2016 52-64 13 045F 690 |
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10.1016/j.autcon.2016.07.004 doi GBVA2016015000020.pica (DE-627)ELV035414995 (ELSEVIER)S0926-5805(16)30147-9 DE-627 ger DE-627 rakwb eng 690 690 DE-600 570 VZ BIODIV DE-30 fid 44.00 bkl Choi, Jungsik verfasserin aut Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment 2016transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. Shin, Jihye oth Kim, Minchan oth Kim, Inhan oth Enthalten in Elsevier Science Publ Mobed, Ahmad ELSEVIER Biosensors: A novel approach to and recent discovery in detection of cytokines 2020 an international research journal Amsterdam [u.a.] (DE-627)ELV004774973 volume:72 year:2016 pages:52-64 extent:13 https://doi.org/10.1016/j.autcon.2016.07.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 44.00 Medizin: Allgemeines VZ AR 72 2016 52-64 13 045F 690 |
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Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment |
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Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. |
| abstractGer |
Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. |
| abstract_unstemmed |
Energy performance assessments (EPAs) are widely conducted on buildings, which consume considerable energy and emit a significant amount of greenhouse gases. However, manual-based traditional EPA methods can cause serious problems, such as recurrent and error-prone data replication, data leaks, and redundant data processing and storage. Building information modeling (BIM), as an integrated repository of information about a particular building, has been applied to EPAs to overcome those problems. Although BIM has the potential to increase work efficiency in the assessment process, low interoperability between BIM data and energy simulation models raises huge barriers to reliable BIM-based EPAs. |
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| title_short |
Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment |
| url |
https://doi.org/10.1016/j.autcon.2016.07.004 |
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| author2 |
Shin, Jihye Kim, Minchan Kim, Inhan |
| author2Str |
Shin, Jihye Kim, Minchan Kim, Inhan |
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| doi_str |
10.1016/j.autcon.2016.07.004 |
| up_date |
2024-07-06T17:29:56.120Z |
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