eprintid: 10147992 rev_number: 10 eprint_status: archive userid: 699 dir: disk0/10/14/79/92 datestamp: 2022-05-09 12:52:22 lastmod: 2022-05-09 14:03:37 status_changed: 2022-05-09 12:52:22 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Valero, E creators_name: Mohanty, DD creators_name: Ceklarz, M creators_name: Tao, B creators_name: Bosché, F creators_name: Giannakis, GI creators_name: Fenz, S creators_name: Katsigarakis, K creators_name: Lilis, GN creators_name: Rovas, D creators_name: Papanikolaou, A title: An Integrated Scan-to-BIM Approach for Buildings Energy Performance Evaluation and Retrofitting ispublished: pub divisions: C04 divisions: F34 divisions: B04 divisions: UCL keywords: BIM; Energy; Retrofit; Scan-to-BIM; TLS; Photogrammetry; HVAC note: This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. abstract: Energy retrofitting is paramount to reduce the use of energy in existing buildings, with benefits to the environment and people’s economy. The increasing use of novel technologies and innovative methodologies, such as Terrestrial Laser Scanning (TLS) and Building Information Modelling (BIM), is contributing to optimise retrofit processes. In the context of energy efficiency retrofitting, complex semantic 3D BIM models are required that include specific information, such as second level space boundaries (2LSBs), material energy performance properties, and information of the Heating Ventilation and Air Conditioning (HVAC) system and their layout. All this information is necessary for energy analysis of the existing building and planning of effective retrofitting strategies. In this paper, we present an integrated (semi-)automated Scan-to-BIM approach to produce BIM models from point clouds and photographs of buildings by means of computer-vision and artificial intelligence techniques, as well as a Graphical User Interface (GUI) that enables the user to complete the models with information that cannot be retrieved by means of visual features. Information about the materials and their performance properties as well as the specification of the HVAC component is obtained from a database that integrates information from BAUBOOK, OKOBAUDAT and ASHRAE. The Scan-to-BIM tool introduced in this paper is evaluated with data from an inhabited two-storey building, delivering promising results in energy simulations. date: 2021-11 date_type: published publisher: ISARC official_url: https://doi.org/10.22260/ISARC2021/0030 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1949670 doi: 10.22260/ISARC2021/0030 isbn_13: 9789526952413 lyricists_name: Lilis, Georgios lyricists_name: Rovas, Dimitrios lyricists_id: GNLIL99 lyricists_id: DROVA15 actors_name: Lilis, Georgios actors_id: GNLIL99 actors_role: owner full_text_status: public pres_type: paper publication: Proceedings of the International Symposium on Automation and Robotics in Construction volume: 2021-N pagerange: 204-211 event_title: 38th ISARC, 2021 International Symposium on Automation and Robotics in Construction issn: 2413-5844 book_title: Proceedings of the International Symposium on Automation and Robotics in Construction citation: Valero, E; Mohanty, DD; Ceklarz, M; Tao, B; Bosché, F; Giannakis, GI; Fenz, S; ... Papanikolaou, A; + view all <#> Valero, E; Mohanty, DD; Ceklarz, M; Tao, B; Bosché, F; Giannakis, GI; Fenz, S; Katsigarakis, K; Lilis, GN; Rovas, D; Papanikolaou, A; - view fewer <#> (2021) An Integrated Scan-to-BIM Approach for Buildings Energy Performance Evaluation and Retrofitting. In: Proceedings of the International Symposium on Automation and Robotics in Construction. (pp. pp. 204-211). ISARC Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10147992/1/028%20ISARC%202021%20Paper%20166.pdf