Enhancing occupants' comfort through BIM-based probabilistic approach

[1]  Jack Chin Pang Cheng,et al.  Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms , 2020 .

[2]  Zhe Wang,et al.  Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States , 2020, Renewable and Sustainable Energy Reviews.

[3]  D. J. Edwards,et al.  Improving the energy production of roof-top solar PV systems through roof design , 2020, Building Simulation.

[4]  Giuseppe Martino Di Giuda,et al.  BIM and Post-occupancy Evaluations for Building Management System: Weaknesses and Opportunities , 2020 .

[5]  Rafaela Bortolini,et al.  A probabilistic-based approach to support the comfort performance assessment of existing buildings , 2019, Journal of Cleaner Production.

[6]  De-Graft Owusu-Manu,et al.  Post-occupancy evaluation: a review of literature , 2019, Engineering, Construction and Architectural Management.

[7]  J. J. McArthur,et al.  Automating the creation of building information models for existing buildings , 2019, Automation in Construction.

[8]  Nuria Forcada,et al.  BIM LOD for facility management tasks , 2019, Proceedings of the 2019 European Conference on Computing in Construction.

[9]  Hao Wang,et al.  Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis , 2019, Automation in Construction.

[10]  Patrick Taillandier,et al.  Li-BIM, an agent-based approach to simulate occupant-building interaction from the Building-Information Modelling , 2019, Eng. Appl. Artif. Intell..

[11]  Yingxin Zhu,et al.  A review of operating performance in green buildings: Energy use, indoor environmental quality and occupant satisfaction , 2019, Energy and Buildings.

[12]  Bhargav Dave,et al.  A framework for integrating BIM and IoT through open standards , 2018, Automation in Construction.

[13]  Rafaela Bortolini,et al.  Building Inspection System for Evaluating the Technical Performance of Existing Buildings , 2018, Journal of Performance of Constructed Facilities.

[14]  J. J. McArthur,et al.  Machine learning and BIM visualization for maintenance issue classification and enhanced data collection , 2018, Adv. Eng. Informatics.

[15]  A. Ackley,et al.  Factors Affecting the Shortage and or Provision of Sustainable Affordable Housing in Developing Countries - A Case-Study of Cross River State, Nigeria , 2018, Journal of Sustainable Architecture and Civil Engineering.

[16]  Rafaela Bortolini,et al.  Facility managers’ perceptions on building performance assessment , 2018 .

[17]  Qian Wang,et al.  BIM-based framework for automatic scheduling of facility maintenance work orders , 2018, Automation in Construction.

[18]  Andreas Wagner,et al.  Personal control over indoor climate in office buildings in a Mediterranean climate - Amman, Jordan , 2018 .

[19]  Ting-Kwei Wang,et al.  Integration of BIM, Bayesian Belief Network, and Ant Colony Algorithm for Assessing Fall Risk and Route Planning , 2018 .

[20]  Daniel Castro-Lacouture,et al.  Clash Relevance Prediction in BIM-Based Design Coordination Using Bayesian Statistics , 2018 .

[21]  Pardis Pishdad-Bozorgi,et al.  Planning and developing facility management-enabled building information model (FM-enabled BIM) , 2018 .

[22]  Stephen Snow,et al.  A Comfort-Based Approach to Smart Heating and Air Conditioning , 2017, ACM Trans. Intell. Syst. Technol..

[23]  F. Bauman,et al.  Comparing temperature and acoustic satisfaction in 60 radiant and all-air buildings , 2017 .

[24]  Sheryl Staub-French,et al.  Developing owner information requirements for BIM-enabled project delivery and asset management , 2017 .

[25]  Qinpeng Wang,et al.  Uncertainty analysis of thermal comfort in a prototypical naturally ventilated office building and its implications compared to deterministic simulation , 2017 .

[26]  Athanasios Tzempelikos,et al.  A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings , 2017 .

[27]  Hsm Helianthe Kort,et al.  Occupancy-based lighting control in open-plan office spaces: A state-of-the-art review , 2017 .

[28]  Jin Wen,et al.  Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors , 2017 .

[29]  Olalekan Shamsideen Oshodi,et al.  Educational building conditions and the health of users , 2016 .

[30]  Elena Pérez-Miñana,et al.  Improving ecosystem services modelling: Insights from a Bayesian network tools review , 2016, Environ. Model. Softw..

[31]  Long D. Nguyen,et al.  Predicting Safety Risk of Working at Heights Using Bayesian Networks , 2016 .

[32]  Ying Hua,et al.  A BIM-GIS integrated pre-retrofit model for building data mapping , 2016 .

[33]  Eric M. Wetzel,et al.  The use of a BIM-based framework to support safe facility management processes , 2015 .

[34]  Ying Hua,et al.  Completing the missing link in building design process: Enhancing post-occupancy evaluation method for effective feedback for building performance , 2015 .

[35]  Yu Wang,et al.  HVAC system design under peak load prediction uncertainty using multiple-criterion decision making technique , 2015 .

[36]  Runa Tabea Hellwig,et al.  Perceived control in indoor environments: a conceptual approach , 2015 .

[37]  Ying Hua,et al.  Spatial mapping of occupant satisfaction and indoor environment quality in a LEED platinum campus building , 2014 .

[38]  Staf Roels,et al.  Probabilistic design and analysis of building performances: methodology and application example , 2014 .

[39]  Amin Hammad,et al.  Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management , 2014 .

[40]  Chiara Aghemo,et al.  Building automation and control systems: A case study to evaluate the energy and environmental performances of a lighting control system in offices , 2014 .

[41]  Azlan Shah Ali,et al.  Improving occupants' satisfaction with effective maintenance management of HVAC system in office buildings , 2014 .

[42]  Nursyarizal Mohd Nor,et al.  A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .

[43]  Massano Cardoso,et al.  Indoor air quality and health in schools* , 2014, Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia.

[44]  Mahmoud Fathy El-Sharkawy,et al.  Study the indoor air quality level inside governmental elementary schools of Dammam City in Saudi Arabia , 2014, International Journal of Environmental Health Engineering.

[45]  Jin Wen,et al.  Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants , 2013 .

[46]  Abbas Elmualim,et al.  Post-occupancy studies of an office environment: Energy performance and occupants’ satisfaction , 2013 .

[47]  Aivars Alt,et al.  Combined 3D building surveying techniques – terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes , 2013 .

[48]  Prajakta Kulkarni,et al.  Factors Influencing Energy Consumption of Energy Star and Non-Energy Star Homes , 2013 .

[49]  Lei Yuan,et al.  A cloud approach to unified lifecycle data management in architecture, engineering, construction and facilities management: Integrating BIMs and SNS , 2013, Adv. Eng. Informatics.

[50]  Abdul Kareem Almarshad,et al.  A knowledge-based BIM system for building maintenance , 2013 .

[51]  Fu Xiao,et al.  Quantitative energy performance assessment methods for existing buildings , 2012 .

[52]  Richard de Dear,et al.  Impact of different building ventilation modes on occupant expectations of the main IEQ factors , 2012 .

[53]  Pedro Novo,et al.  Natural ventilation and acoustic comfort , 2012 .

[54]  M Frontczak,et al.  Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. , 2012, Indoor air.

[55]  Wolfgang F. E. Preiser,et al.  Enhancing Building Performance , 2012 .

[56]  Nan Li,et al.  Application Areas and Data Requirements for BIM-Enabled Facilities Management , 2012 .

[57]  Tiberiu Catalina,et al.  IEQ assessment on schools in the design stage , 2012 .

[58]  Edward Morofsky,et al.  Effectiveness of single and multiple energy retrofit measures on the energy consumption of office bu , 2011 .

[59]  P. Wargocki,et al.  Literature survey on how different factors influence human comfort in indoor environments , 2011 .

[60]  Robert S. Weygant BIM Content Development: Standards, Strategies, and Best Practices , 2011 .

[61]  Xiangyu Wang,et al.  A theoretical framework of a BIM-based multi-disciplinary collaboration platform , 2011 .

[62]  Mike Kagioglou,et al.  Technology adoption in the BIM implementation for lean architectural practice , 2011 .

[63]  Adrian Leaman,et al.  Building evaluation: practice and principles , 2010 .

[64]  Yong K. Cho,et al.  BIM-Integrated Sustainable Material and Renewable Energy Simulation , 2010 .

[65]  David R. Riley,et al.  High-Performance Green Building Design Process Modeling and Integrated Use of Visualization Tools , 2010 .

[66]  Philomena M. Bluyssen,et al.  Comfort of workers in office buildings: The European HOPE project , 2010 .

[67]  Rafael Sacks,et al.  Visualization of Work Flow to Support Lean Construction , 2009 .

[68]  Zou Zhichong,et al.  Framework of Spatial Decision Support System for Large-Scale Public Building Evacuation , 2009, 2009 WRI Global Congress on Intelligent Systems.

[69]  Daniel Castro-Lacouture,et al.  BIM-enabled Integrated Optimization Tool for LEED Decisions , 2009 .

[70]  Abdul Hadi Nawawi,et al.  Post-occupancy evaluation correlated with building occupants' satisfaction: An approach to performance evaluation of government and public buildings , 2008 .

[71]  J. Rostron,et al.  Sick building syndrome: A review of causes, consequences and remedies , 2008 .

[72]  Yusuf Arayici,et al.  Towards building information modelling for existing structures , 2008 .

[73]  Jacqueline C. Vischer,et al.  Towards an Environmental Psychology of Workspace: How People are Affected by Environments for Work , 2008 .

[74]  Burcu Akinci,et al.  Automated processing of construction specifications to support inspection and quality control , 2007 .

[75]  G. Newsham,et al.  A model of satisfaction with open-plan office conditions: COPE field findings , 2007 .

[76]  Andreas Wagner,et al.  Thermal comfort and workplace occupant satisfaction—Results of field studies in German low energy office buildings , 2007 .

[77]  E. de Oliveira Fernandes,et al.  Perceived health and comfort in relation to energy use and building characteristics , 2006 .

[78]  Anca D. Galasiu,et al.  Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .

[79]  Mohammad S. Al-Homoud,et al.  Performance characteristics and practical applications of common building thermal insulation materials , 2005 .

[80]  Leland Gerson Neuberg,et al.  CAUSALITY: MODELS, REASONING, AND INFERENCE, by Judea Pearl, Cambridge University Press, 2000 , 2003, Econometric Theory.

[81]  W. H. Engelmann,et al.  The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[82]  George Wright,et al.  The Delphi technique as a forecasting tool: issues and analysis , 1999 .