JournalTOCs

Journal of Building Performance Simulation
Journal Prestige (SJR): 0.957

Citation Impact (citeScore): 2
Number of Followers: 6

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1940-1493 - ISSN (Online) 1940-1507
Published by Taylor and Francis

[2652 journals]

Towards advanced uncertainty and sensitivity analysis of building energy
performance using machine learning techniques
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  Authors: Wei Tian a Tianjin Key Laboratory of Integrated Design; Development Center of Low-Carbon Green Process Equipment, Tianjin, People’s Republic of China
  Pages: 1 - 8
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-08-02T01:02:47Z
  DOI: 10.1080/19401493.2024.2387071
Development of high-fidelity air handling unit fault models for FDD
innovation: lessons learned and recommendations
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  Authors: Armando Casillas Yimin Chen Jessica Granderson Guanjing Lin Zhelun Chen Jin Wen Sen Huang a Lawrence Berkeley National Laboratory; Environmental Energy Technologies Division, Building Technology Environmental Engineering, Drexel University, Philadelphia, PA, USAd Oak Ridge National Laboratory, Oak Ridge, TN, USA
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-31T01:35:04Z
  DOI: 10.1080/19401493.2024.2382757
Informing building retrofits at low computational costs: a multi-objective
optimisation using machine learning surrogates of building performance
simulation models
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  Authors: Elin Markarian Seif Qiblawi Shivram Krishnan Anagha Divakaran Omprakash Ramalingam Rethnam Albert Thomas Elie Azar a Department of Civil; Environmental Engineering, Carleton University, Ottawa, Canadab Department of Civil Engineering, IIT Bombay, Powai, Mumbai, India
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-30T01:47:01Z
  DOI: 10.1080/19401493.2024.2384487
Effect of temperature-dependent and hysteretic sorption in computational
mould risk analyses of wood fibreboard sheathing
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  Authors: Petteri Huttunen Juha Vinha Faculty of Built Environment; Tampere University, Tampere, Finland
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-20T01:29:37Z
  DOI: 10.1080/19401493.2024.2370558
A neural network-based surrogate model to predict building features from
heating and cooling load signatures
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  Authors: Shane Ferreira Burak Gunay Adam Wills Farzeen Rizvi a Department of Civil; Environmental Engineering, Carleton University, Ottawa, Canadab Construction Research Centre, National Research Council Canada, Ottawa, Canada
  Pages: 1 - 24
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-17T01:37:15Z
  DOI: 10.1080/19401493.2024.2375304
Students’ behaviour analysis based on correlating thermal comfort and
spatial simulations; case study of a schoolyard in Shiraz City
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  Authors: Kaveh Fattahi Vahid Bakhtyari Farshad Askari Mohammad Amin Haghpanah a Faculty of Art; Vocational University (TVU), Tehran, Iranc Department of Computer Engineering, Bachelor of Computer Software Engineering Islamic Azad University, Shiraz, Iran
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-11T12:57:48Z
  DOI: 10.1080/19401493.2024.2373878
Model-predictive space heating control for energy flexibility – a case
study using a long short-term memory neural network surrogate model and a
genetic optimization algorithm
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  Authors: Samuel B. de Vries Corine M. Laan Pieter C. Bons Renée M. B. Heller Amsterdam University of Applied Sciences; Amsterdam, The Netherlands
  Pages: 1 - 20
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-07-03T01:23:24Z
  DOI: 10.1080/19401493.2024.2371918
Development and testing of an automated tool to leverage building energy
models for thermal resilience analysis
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  Authors: Chun Yin Siu Marianne Touchie William O’Brien a Department of Mechanical & Industrial Engineering; University of Toronto, Toronto, Canadab Department of Civil & Mineral Engineering, University of Toronto, Toronto, Canadac The Department of Civil Environmental Engineering, Carleton University, Ottawa, Canada
  Pages: 1 - 19
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-06-26T01:06:08Z
  DOI: 10.1080/19401493.2024.2365381
Research on predicting heat loads based on extracting temporal and spatial
features of multiple buildings using data-driven methods
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  Authors: Quanwei Tan Guijun Xue Wenju Xie School of Electrical Engineering; North China University of Science Technology, Tangshan, People’s Republic of China
  Pages: 1 - 22
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-06-12T11:42:54Z
  DOI: 10.1080/19401493.2024.2364697
Design of a model predictive control methodology for integration of
retrofitted air‐based PV/T system in school buildings
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  Authors: Navid Morovat Andreas K. Athienitis José Agustín Candanedo a Centre for Zero Energy Building Studies; Concordia University, Montréal, Québec, Canadab Department of Civil Building Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada
  Pages: 1 - 19
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-06-06T11:23:30Z
  DOI: 10.1080/19401493.2024.2362241
Energy modelling and analysis of variable speed series fan-powered
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  Authors: Zahra Sardoueinasab Peng Yin a Nailor Industries, Inc; 4714 Winfield Road, Houston, TX 77039, USAb Department of Mechanical Engineering, University of Louisiana at Lafayette, Lafayette, LA 70503, USA
  Pages: 1 - 18
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-05-30T11:13:58Z
  DOI: 10.1080/19401493.2024.2357544
Surrogate modelling for urban building energy simulation based on the
bidirectional long short-term memory model
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  Authors: Xiyu Pan Yujie Xu Tianzhen Hong a Building Technology; Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
  Pages: 1 - 19
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-05-28T01:51:46Z
  DOI: 10.1080/19401493.2024.2359985
Uncertainty of the predictions of different programs and modelling teams
based on a detailed empirical validation dataset
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  Authors: Matthias KerskenGabriel RojasPaul Strachana Fraunhofer Institute for Building Physics IBP; Holzkirchen, Germanyb Unit of Energy Efficient Building Digital Science Center, University of Innsbruck, Innsbruck, Austriac Energy Systems Research Unit, University of Strathclyde, Glasgow, UK
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-05-10T02:09:06Z
  DOI: 10.1080/19401493.2024.2343883
Unveiling overlooked aspects of model predictive control for building air
conditioning systems
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  Authors: Sen HuangBowen HuangXu MaSaptarshi BhattacharyaArnab BhattacharyaDraguna VrabieJianming Liana Oak Ridge National Laboratory; Oak Ridge, TN, USAb Pacific Northwest National Laboratory, Richland, WA, USA
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-05-10T02:08:39Z
  DOI: 10.1080/19401493.2024.2346831
Development of a variable refrigerant flow system emulator to host the
second World Championship in Cybernetic Building Optimization
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  Authors: Eisuke TogashiTaiki KobayashiHajime OgataHiroyuki HatadaHisao AyameKatsuyuki EdahiroMakoto SatohMasanari UkaiMasashi MomotaMasato MiyataNiccolo GiannettiSei NagashimaTakahiro UenoTomoya KatayamaYohei YamaguchiYuichiro Iioa School of Architecture; Department of Architecture, Kogakuin University, Tokyo, Japanb Mitsubishi Electric Corporation, Tokyo, Japanc Shinryo Corporation, Tokyo, Japand Sanko Air Conditioning Co., Ltd., Tokyo, Japane Shin Nippon Air Technologies Co., Ltd., Tokyo, Japanf Daikin AC Inc., Tokyo, Japang Satoh Energy Research Co., Tokyo, Japanh Faculty of Environmental Engineering, The University of Kitakyushu, Fukuoka, Japani Department of Architecture, Faculty of Science Environmental Engineering, Department of Environmental Engineering, Osaka University, Osaka, Japano Araya Inc., Tokyo, Japan
  Pages: 1 - 30
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-05-03T10:37:17Z
  DOI: 10.1080/19401493.2024.2346528
Retraining surrogate models in increasingly restricted design spaces: a
novel building energy model calibration method
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  Authors: Florent HerbingerMichaël KummertMechanical Engineering; Polytechnique Montréal, Montreal, Canada
  Pages: 1 - 18
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-04-29T11:50:56Z
  DOI: 10.1080/19401493.2024.2346833
Ten questions regarding buildings, occupants and the energy performance
gap
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  Authors: Ardeshir MahdaviChristiane Bergera Faculty of Civil Engineering Sciences; Institute of Building Physics, Services, Media Technology, Aalborg University, Aalborg, Denmark
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-04-16T06:23:52Z
  DOI: 10.1080/19401493.2024.2332245
Usability and fitness testing for building performance simulation tools
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  Authors: Shady AttiaAly El-DegwyMaha Attiaa Sustainable Building Design Lab; Dept. UEE, Faculty of Applied Sciences, University of Liège, Belgiumb Methods Chair, Faculty of Business Administration, Radboud University, the Netherlandsc Linux Foundation, San Francisco, CA, USA
  Pages: 1 - 20
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-04-12T08:29:10Z
  DOI: 10.1080/19401493.2024.2341089
Co-cooling, simulation-based exploration of a new method to measure the
heat transfer coefficient of a building envelope in hot climate and summer
period
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  Authors: Kevin CampagnaArnaud JayAnaïs PacquautSarah Juricica Univ. Grenoble Alpes; CEA, Liten, INES, Le Bourget du Lac 73375, Franceb Centre Scientifique et Technique du Bâtiment (CSTB), 84 Avenue Jean Jaurès, Champs-sur-Marne 77420, Francec LOCIE USMB, INES, 73375 Le Bourget du Lac, France
  Pages: 1 - 20
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-04-10T02:03:57Z
  DOI: 10.1080/19401493.2024.2338767
In-situ validation of a sizing method for the combined production and
distribution of heat for space heating and domestic hot water
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  Authors: Senne Van MinnebruggenHoussam MatbouliStef JacobsIvan VerhaertEMIB; Faculty of Applied Engineering – Electromechanics, University of Antwerp, Antwerp, Belgium
  Pages: 1 - 17
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-04-02T03:00:44Z
  DOI: 10.1080/19401493.2024.2335225
PSO-guided optimal estimator enabled regularized adaptive extended Kalman
filter with unknown inputs for dynamic nonlinear indoor thermal state
estimation
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  Authors: Bed Prakash DasKaushik Das SharmaAmitava ChatterjeeJitendra Nath Beraa Department of Applied Physics; University of Calcutta, Kolkata, Indiab Department of Electrical Engineering, Jadavpur University, Kolkata, India
  Pages: 1 - 21
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-03-06T01:30:18Z
  DOI: 10.1080/19401493.2024.2324814
Towards digital twinning for multi-domain simulation workflows in urban
design: a case study in Gothenburg
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  Authors: Alex Gonzalez-CaceresFranziska HungerJens ForssénSanjay SomanathAndreas MarkVasilis NaserentinJoakim BohlinAnders LoggBeata WästbergDominika KomisarczykFredrik EdelvikAlexander Hollberga Department of Architecture; Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki GR-54124, Greecef Department of Physics, Chalmers University of Technology, Gothenburg SE-412 96, Sweden
  Pages: 1 - 22
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-02-27T11:37:09Z
  DOI: 10.1080/19401493.2024.2320112
Adaptation to extreme weather events using pre-conditioning: a model-based
testing of novel resilience algorithms on a residential case study
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  Authors: Milad RostamiScott BuckingDepartment of Civil; Environmental Engineering, Carleton University, Ottawa, ON, Canada
  Pages: 1 - 22
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-01-29T01:31:16Z
  DOI: 10.1080/19401493.2024.2307636
Accommodating new calculation approaches in next-generation energy
performance assessments
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  Authors: David JenkinsPeter McCallumSandhya PatidarSally SempleSchool of Energy; Geoscience, Infrastructure Society, Heriot-Watt University, Edinburgh, UK
  Pages: 1 - 16
  Abstract: .
  
  Citation: Journal of Building Performance Simulation
  PubDate: 2024-01-24T08:18:08Z
  DOI: 10.1080/19401493.2024.2307634

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