Application of Building Information Modeling for Energy Management ofUniversity Facility

碩士 === 國立臺灣科技大學 === 建築系 === 104 === Individual buildings within university campuses are often occupied by different departments in Taiwan, which has created a great challenge to the energy management task. To assist individual departments within universities in their energy management tasks, this st...

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Main Authors: Danny Vernatha, 許宗強
Other Authors: Kung-Jen Tu
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/01450225368428545004
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spelling ndltd-TW-104NTUS52220142017-11-12T04:38:35Z http://ndltd.ncl.edu.tw/handle/01450225368428545004 Application of Building Information Modeling for Energy Management ofUniversity Facility 建築信息模型於大學設施能源管理之應用 Danny Vernatha 許宗強 碩士 國立臺灣科技大學 建築系 104 Individual buildings within university campuses are often occupied by different departments in Taiwan, which has created a great challenge to the energy management task. To assist individual departments within universities in their energy management tasks, this study explores the application of Building Information Modelling in establishing the ‘BIM-based Energy Management Support System’ (BIM-EMSS). The BIM-EMSS consists of five components: (1) sensors installed for each occupant and each equipment, (2) electricity sub-meters (constantly logging lighting, HVAC, and socket electricity consumptions of each room), (3) data warehouse (for storing occupancy status and logged electricity consumption data), (4) BIM models of all rooms within individual departments’ facilities, and (5) energy management console that provide energy managers with energy management functions such as occupancy and equipment status display, energy consumption analyses and energy anomaly detection. Through the energy management console, the energy manager is able to (a) have 3D visualization (BIM model) of each room, in which the occupancy and equipment status detected by the sensors and the electricity consumptions data logged are displayed constantly; (b) to review daily, weekly and monthly energy consumption profiles and compare them against historical energy profiles; and (c) to obtain energy consumption anomaly detection warnings on certain rooms so that energy management corrective actions can be further taken (fault detection and diagnostic logic is employed to analyze the relation between space occupancy pattern with current space equipment setting to indicate an anomaly, such as when appliances turn on without occupancy). The BIM-EMSS was further implemented in a research lab in the Department of Architecture of NTUST in Taiwan and implementation results presented to illustrate how it can be used to assist individual departments within universities in their energy management tasks. Kung-Jen Tu 杜功仁 2016 學位論文 ; thesis 92 en_US
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description 碩士 === 國立臺灣科技大學 === 建築系 === 104 === Individual buildings within university campuses are often occupied by different departments in Taiwan, which has created a great challenge to the energy management task. To assist individual departments within universities in their energy management tasks, this study explores the application of Building Information Modelling in establishing the ‘BIM-based Energy Management Support System’ (BIM-EMSS). The BIM-EMSS consists of five components: (1) sensors installed for each occupant and each equipment, (2) electricity sub-meters (constantly logging lighting, HVAC, and socket electricity consumptions of each room), (3) data warehouse (for storing occupancy status and logged electricity consumption data), (4) BIM models of all rooms within individual departments’ facilities, and (5) energy management console that provide energy managers with energy management functions such as occupancy and equipment status display, energy consumption analyses and energy anomaly detection. Through the energy management console, the energy manager is able to (a) have 3D visualization (BIM model) of each room, in which the occupancy and equipment status detected by the sensors and the electricity consumptions data logged are displayed constantly; (b) to review daily, weekly and monthly energy consumption profiles and compare them against historical energy profiles; and (c) to obtain energy consumption anomaly detection warnings on certain rooms so that energy management corrective actions can be further taken (fault detection and diagnostic logic is employed to analyze the relation between space occupancy pattern with current space equipment setting to indicate an anomaly, such as when appliances turn on without occupancy). The BIM-EMSS was further implemented in a research lab in the Department of Architecture of NTUST in Taiwan and implementation results presented to illustrate how it can be used to assist individual departments within universities in their energy management tasks.
author2 Kung-Jen Tu
author_facet Kung-Jen Tu
Danny Vernatha
許宗強
author Danny Vernatha
許宗強
spellingShingle Danny Vernatha
許宗強
Application of Building Information Modeling for Energy Management ofUniversity Facility
author_sort Danny Vernatha
title Application of Building Information Modeling for Energy Management ofUniversity Facility
title_short Application of Building Information Modeling for Energy Management ofUniversity Facility
title_full Application of Building Information Modeling for Energy Management ofUniversity Facility
title_fullStr Application of Building Information Modeling for Energy Management ofUniversity Facility
title_full_unstemmed Application of Building Information Modeling for Energy Management ofUniversity Facility
title_sort application of building information modeling for energy management ofuniversity facility
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/01450225368428545004
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