Thermal comfort practices for precast concrete building construction projects: towards BIM and IOT integration

被引:14
作者
Ismail, Zul-Atfi Bin [1 ]
机构
[1] Univ Malaysia Perlis, Arau, Malaysia
关键词
PC building; Construction projects; Thermal comfort; Optimisation; ICT; PERFORMANCE; CLIMATE; SYSTEM;
D O I
10.1108/ECAM-09-2020-0767
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose Improper evaluation and information mismanagement concerning thermal comfort appears to negatively affect occupants' satisfaction and building energy consumption in precast concrete (PC) building contexts. Predictive models are particularly problematic in PC building construction projects where natural ventilation levels do not coincide with occupants' thermal comfort and thermal sensation specifications. Design/methodology/approach A systematic literature review is undertaken to explore the viability and benefits of a new ICT-based approach for meeting social and environmental objectives. Findings Sophisticated thermal comfort system solutions are essential for optimising thermal comfort and saving energy in PC building construction projects. Originality/value It is imperative that designers and manufacturers are kept up-to-date with the possibilities and potentials associated with new and nascent technologies so that building projects can meet key sustainability criteria.
引用
收藏
页码:1504 / 1521
页数:18
相关论文
共 55 条
[1]   Understanding Occupant Behaviors in Dynamic Environments using OBiDE framework [J].
Arslan, Muhammad ;
Cruz, Christophe ;
Ginhac, Dominique .
BUILDING AND ENVIRONMENT, 2019, 166
[2]   The Emulation and Simulation of Internet of Things Devices for Building Information Modelling (BIM) [J].
Arthur, Steven ;
Li, Haijiang ;
Lark, Robert .
ADVANCED COMPUTING STRATEGIES FOR ENGINEERING, PT II, 2018, 10864 :325-338
[3]   Holding onto emotions: A call to action in academia [J].
Askins, Kye ;
Swanson, Kate .
EMOTION SPACE AND SOCIETY, 2019, 33
[4]   Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings [J].
Atazadeh, Behnam ;
Olfat, Hamed ;
Rismanchi, Behzad ;
Shojaei, Davood ;
Rajabifard, Abbas .
ELECTRONICS, 2019, 8 (11)
[5]   Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate [J].
Baglivo, Cristina ;
Congedo, Paolo Maria ;
Di Cataldo, Matteo ;
Coluccia, Luigi Damiano ;
D'Agostino, Delia .
ENERGIES, 2017, 10 (11)
[6]   Design method of high performance precast external walls for warm climate by multi-objective optimization analysis [J].
Baglivo, Cristina ;
Congedo, Paolo Maria .
ENERGY, 2015, 90 :1645-1661
[7]   Evaluation of the thermal performance of an industrialised housing construction system in a warm-temperate climate: Morelia, Mexico [J].
Becerra-Santacruz, Habid ;
Lawrence, Ranald .
BUILDING AND ENVIRONMENT, 2016, 107 :135-153
[8]   IoT Software Infrastructure for Energy Management and Simulation in Smart Cities [J].
Brundu, Francesco Gavino ;
Patti, Edoardo ;
Osello, Anna ;
Del Giudice, Matteo ;
Rapetti, Niccolo ;
Krylovskiy, Alexandr ;
Jahn, Marco ;
Verda, Vittorio ;
Guelpa, Elisa ;
Rietto, Laura ;
Acquaviva, Andrea .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (02) :832-840
[9]   A systematic literature review of machine learning methods applied to predictive maintenance [J].
Carvalho, Thyago P. ;
Soares, Fabrizzio A. A. M. N. ;
Vita, Roberto ;
Francisco, Robert da P. ;
Basto, Joao P. ;
Alcala, Symone G. S. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 137
[10]   An Automated IoT Visualization BIM Platform for Decision Support in Facilities Management [J].
Chang, Kai-Ming ;
Dzeng, Ren-Jye ;
Wu, Yi-Ju .
APPLIED SCIENCES-BASEL, 2018, 8 (07)