Conference Agenda

Update of ASHRAE Standard 140/BESTEST thermal fabric test cases

Joel Neymark¹, Ronald Judkoff², Michael Kummert³, Ralph Muehleisen⁴, John Allison⁵, Jingjing An⁶, Jason Glazer⁷, Robert Henninger⁷, Marion Hiller⁸, Yue Jiang⁹, Alec Johannsen¹⁰, Neal Kruis¹¹, Timothy McDowell¹², Eikichi Ono¹³, Paul Strachan¹⁴, Michael Witte⁷, Da Yan¹⁵, Harunori Yoshida¹⁶, Xin Zhou⁹

1: J. Neymark & Associates, United States of America; 2: National Renewable Energy Laboratory, United States of America; 3: Polytechnique Montréal, Canada; 4: Argonne National Laboratory, United States of America; 5: arbnco Ltd, United Kingdom; 6: Beijing University of Civil Engineering and Architecture, China; 7: GARD Analytics, Inc., United States; 8: Transsolar Energietechnik GmbH, Germany; 9: Southeast University, China; 10: Alec Johannsen Consulting Engineers, South Africa; 11: Big Ladder Software, United States; 12: Thermal Energy System Specialists, United States; 13: National University of Singapore, Singapore; 14: University of Strathclyde, United Kingdom; 15: Tsinghua University, China; 16: Kyoto University (professor emeritus), Japan

SimQuality - A novel test suite for dynamic building energy simulation tools

Andreas Nicolai¹, Stephan Hirth¹, Madjid Madjidi²

1: TU Dresden, Germany; 2: University of Applied Sciences, Munich, Germany

Consistency in early simulation inputs with statistical analyses of historical models: Reducing the impact of mental models and simulation settings

Nanna Dyrup Svane^1,2, Torben Østergård^1,2, Rasmus Lund Jensen¹

1: Aalborg University; 2: MOE A/S

Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series

Hicham Johra¹, Michael Mans², Konstantin Filonenko³, Ina De Jaeger⁴, Dirk Saelens⁴, Torben Tvedebrink¹

1: Aalborg University, Denmark; 2: RWTH Aachen University, Germany; 3: University of Southern Denmark, Denmark; 4: KU Leuven, Belgium

Effect of reduced air change rates on indoor air quality and air conditioning energy consumption in retail buildings

Konstantin Finkbeiner, Martin Kremer, Martin Rätz, Xuchao Ying, Paul Mathis, Dirk Müller

RWTH Aachen University, Germany

Metrics for evaluating envelope performance in next generation energy codes

Rasoul Asaee¹, Adam Wills², Alex Ferguson¹

1: Natural Resources Canada, Canada; 2: National Research Council, Canada

Developments in simulation and evaluation of large-scale hot water tanks and pits in renewables-based district heating

Abdulrahman Dahash, Fabian Ochs, Alice Tosatto

University of Innsbruck, Austria

Energy flexibility quantification with integrated heat pump, floor heating system, and thermal storage in a school building

Navid Morovat¹, José Agustín Candanedo^1,2, Andreas K Athienitis¹

1: Concordia University, Montreal, Canada; 2: CanmetENERGY, Montreal, Canada

Integrating energy systems into building design with Hive: Features, user survey and comparison with Ladybug and Honeybee tools

Christoph Waibel, Daren Thomas, Amr Elesawy, Illias Hischier, Linus Walker, Arno Schlüter

Chair of Architecture and Building Systems, ETH Zurich, Switzerland

Cooling energy use reduction in private residential buildings in Egypt accounting for global warming effects.

Mohammad Abdollah Fadel Abdollah, Rossano Scoccia, Giulia Filippini, Mario Motta

Politecnico di Milano, Italy

Multi-criteria optimization of an earth-air heat exchanger based system for several climates of European capital cities.

Arnaud Lapertot, Benjamin Kadoch, Olivier Le Metayer

Aix Marseille Université, CNRS, IUSTI UMR 7343, 13453, Marseille, France

Control of a state-wide pool of hybrid heat pumps to decrease the GHG emissions of heating

Marianne Biéron^1,2, Jérôme Le Dréau¹, Benjamin Haas²

1: LaSIE (UMR CNRS 7356) - La Rochelle University, La Rochelle, France; 2: Engie Lab Future Buildings and Cities, CRIGEN, ENGIE, France

A machine learning-based methodology for harnessing the energy flexibility potential of residential buildings

Adamantios Bampoulas^1,2, Fabiano Pallonetto¹, Eleni Mangina^1,3, Donal P. Finn^1,2

1: UCD Energy Institute, University College Dublin, Dublin, Ireland; 2: UCD School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland; 3: UCD School of Computer Science, University College Dublin, Dublin, Ireland

Simulation based evaluation of building integrated solar envelope systems on building level

Fabian Ochs¹, Mara Magni¹, Martin Hauer², Samuel De Vries³, Paolo Bonato⁴

1: University of Innsbruck, Austria; 2: Bartenbach, Austria; 3: TUe, The Netherlands; 4: Eurac Research, Italy

Hydrogen explosion hazards mitigation in industrial lead-acid battery rooms under different ventilation conditions

Dorota Brzezińska

Lodz University of Technology, Poland

On the reliability of room acoustics simulation models: A case study of multi-purpose performance halls

Edita Vinca, Helene Teufl, Josef Lechleitner, Ardeshir Mahdavi

Department of Building Physics and Building Ecology, TU Wien, Vienna, Austria

Case study: the influence of model size on local room acoustic parameters in Odeon

Yannick Sluyts, Leopold Kritly, Arnon Vandenberghe, Christ Glorieux, Monika Rychtarikova

KULeuven, Belgium

A new building thermal model to a better evaluation of the thermal comfort during heat waves

Adrien Toesca¹, Damien David¹, André Kuster¹, Michel Lussault², Kévyn Johannes¹

1: CETHIL, France; 2: EVS, France

Assessing the effect of network order on epistemic uncertainty quantification for reduced-order grey-box energy models

Mohammad Haris Shamsi^1,4, Usman Ali^1,3, Eleni Mangina², James O'Donnell¹

1: School of Mechanical & Materials Engineering, Energy Institute, University College Dublin (UCD), Ireland; 2: School of Computer Science and Informatics, University College Dublin (UCD), Ireland; 3: Sustainable Energy Authority Of Ireland, Dublin, Ireland; 4: University of Victoria, British Columbia, Canada

Applying sensitivity analysis to urban building energy models

Pamela Jane Fennell¹, Matthias Van Hove², Lia Weinberg³, George J. Bennett¹, Marc Delghust², Sebastian Forthuber⁴, Martin Jakob³, Lukas Kranzl⁴, Érika Mata⁵, Claudio Nägeli⁶, Janet L. Reyna⁷, Giamomo Catenazzi³

1: UCL; 2: UGent; 3: TEP Energy; 4: TU Wien; 5: IVL; 6: Chalmers University; 7: NREL

Data-driven statistical modelling of real energy use in modern Flemish single-family houses: a feasibility study

Matthias Yvan C. Van Hove¹, Mieke Deurinck², Wim Lameire², Jelle Laverge¹, Arnold Janssens¹, Marc Delghust¹

1: Ghent University, Department of Architecture and Urban Planning, Building Physics Research Group, Belgium; 2: Flemish Energy and Climate Agency (VEKA), Brussels, Belgium

CNN-based quick energy prediction model using image analysis for shape information

Manav Mahan Singh¹, Philipp Geyer^1,2

1: KU Leuven; 2: TU Berlin

Application of MyBEM, a BIM to BEM platform, to a building renovation concept with solar harvesting technologies

Mathias Bouquerel¹, Kevin Ruben Deutz¹, Benoît Charrier¹, Thierry Duforestel¹, Mickael Rousset¹, Bart Erich², Gerrit-Jan van Riessen³, Thomas Braun⁴

1: EDF R&D, Moret-Loing-et-Orvanne, France; 2: TNO, Eindhoven, Netherlands; 3: Emergo, Netherlands; 4: Pilkington Germany, Gelsenkirchen, Germany

Optimal energy system sizing with independent load and weather time series.

François Lédée^1,2, Gaëlle Faure^1,2, Curran Crawford^1,3, Ralph Evins^1,2

1: Institute for Integrated Energy Systems, University of Victoria, British Columbia, Canada; 2: Energy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, Canada; 3: Sustainable Systems Design Lab, Department of Mechanical Engineering, University of Victoria, British Columbia

Evaluating the Performance of different Window Opening Styles for single-sided buoyancy-driven natural Ventilation using CFD Simulations

Akshit Gupta, Annamaria Belleri, Francesco Babich

Institute for Renewable Energy, Eurac Research, 39100 Bolzano, Italy

Beyond normal: Guidelines on how to identify suitable model input distributions for building performance analysis

Giorgos Petrou¹, Anna Mavrogianni², Phil Symonds², Mike Davies²

1: UCL Energy Institute, United Kingdom; 2: UCL Institute for Environmental Design and Engineering, United Kingdom

Modeling and simulation of the Ukrainian residential building stock : application to the evaluation of gas demand

Tarik Bouhal¹, Valentin Gavan²

1: Energeo - LR Technologies Groupe, 35 rue des chantiers, 78000 Versailles, France; 2: ENGIE Lab CRIGEN, 4, Street Josephine Baker, 93240 Stains, France

Application of optimisation, building energy simulation and life cycle assessment to the design of an urban building construction project.

Aurore Wurtz, Patrick Schalbart, Bruno Peuportier

Mines ParisTech, France

Renovating Flanders: a building classification approach to assess large-scale renovation costs

Guillermo Borragán, Dorien Aerts, Glenn Reynders, Yixiao Ma, Lukas Engelen, Stijn Verbeke

VITO-Energy Ville, Belgium

Can Archive Film Stores in the global South achieve net zero and reliable Energy?

Elli Nikolaidou, Harrison King, David Coley

University of Bath, United Kingdom

Methodology for comparison of nZEB ambition level in different countries by building and system simulation

Carsten Wemhoener¹, Fabian Ochs², Mara Magni², Christina Betzold³

1: Institute of Energy Technology, University of Applied Sciences Eastern Switzerland, Switzerland; 2: Unit for Energy Efficient Building, UIBK, University of Innsbruck, Austria; 3: Technische Hochschule Nuremberg Georg Simon Ohm, Germany

Demonstration of operation of anti-Legionella controller in test setup

Elisa Van Kenhove, Lien De Backer, Klaas De Jonge, Jelle Laverge

UGent, Belgium

Contribution of building energy simulations to the assessment of overheating health risks in urban dwellings

Flavia Barone¹, Lucie Merlier¹, Virginie Chasles², Frédéric Kuznik¹

1: Univ Lyon, CNRS, INSA-Lyon, Université Claude Bernard Lyon 1, CETHIL UMR5008, F-69621, Villeurbanne, France; 2: Université Jean Moulin Lyon 3, UMR 5600 Environnement Ville Société (EVS)

A simulation approach for the optimization of distributed energy supply systems based on multiple energy indicators in commercial districts.

Takahiro Ueno

Building Research Institute / Japan, Japan

A Comparative analysis on the impact of different weather datasets used in Australia on building energy simulation results

Samuel Udom, Saeed Banihashemi, Charles Lemckert

University of Canberra, Australia

Spatio-temporal data analysis for development of microclimate prediction models

Tageui Hong, Yeonsook Heo

Korea University, Korea, Republic of (South Korea)

Design and analysis of a renewable energy network based on fuel cells in residential communities

Jiwook Byun, Yeonsook Heo

Korea University, Korea, Republic of (South Korea)

The design of distributed control system for a hybrid energy supply network in a residential community

Jaehyun Go, Yeonsook Heo

Korea University, Korea, Republic of (South Korea)

Performance evaluation of passive hygrothermal control for houses using a thermodynamic HAM model

Haksung Lee¹, Akihito Ozaki²

1: Department of Architecture, Chungbuk National University, Cheongju, Republic of Korea; 2: Kyushu University, Japan

Airflow optimization for thermal comfort and energy efficiency for room air conditioners

Ryuta Tanaka¹, Saleh Nabi², Mio Nonaka¹

1: Mitsubishi Electric Corporation Advanced Technology R&D Center, Japan; 2: Mitsubishi Electric Research Laboratories, USA

Designing a data-driven model predictive control framework for residential buildings

Hyeong Seok Lee, Yeonsook Heo

Urban Energy&Environment Lab, Dept. of Civil, Environmental and Architectural Engineering, Korea University

Predicting occupant thermal comfort for multiple air-side systems and seasonal scenarios using Autonomous HVAC CFD

Sandip Jadhav, Praveen Kumar, Rohit Chavan, Avinash Goen

Centre for Computational Technologies Pvt Ltd, India

A simulation study to analyze the impact of Integrated Passive Strategies on natural ventilation and daylighting in a slum house of Mumbai

Abdul Moeed Chaudhary¹, Sahil Priyadarshi², Shailee Goswami³

1: Essential India, Mumbai; 2: International Finance corporation (IFC); 3: Centre for Environmental Planning and Technology, Ahmedabad

Prediction of HVAC loads at different spatial resolutions and buildings using deep learning models

Antonio Liguori¹, Shiying Yang¹, Romana Markovic², Thi Thu Ha Dam¹, Andreas Wagner², Jérôme Frisch¹, Christoph van Treeck¹

1: RWTH Aachen, Germany; 2: KIT, Germany

Data-driven calibration of joint building and HVAC dynamic models using scalable Bayesian optimization

Ankush Chakrabarty¹, Emilio Maddalena², Hongtao Qiao¹, Christopher Laughman¹

1: Mitsubishi Electric Research Labs, United States of America; 2: École polytechnique fédérale de Lausanne, Switzerland

A performance-driven simulation workflow for PV integration into the design process: application on an innovative building project in Switzerland

Sergi Aguacil Moreno

Building2050 group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Fribourg, Switzerland

An inquiry into the accuracy of the energy model calibration process

Ipek Yilmaz¹, Burak Gunay¹, Guy Newsham², Adam Wills²

1: Carleton University, Canada; 2: National Research Council, Canada

Deep reinforcement learning-based optimal building energy management strategies with photovoltaic systems

Minjeong Sim, Geonkyo Hong, Dongjun Suh

Kyungpook National University, Korea, Republic of (South Korea)

Hygrothermal modeling of green roof made with substrate and drainage layers of coarse recycled materials

Mostafa Kazemi, Luc Courard, Shady Attia

University of Liège, Belgium

A computational approach for checking compliance with European view and sunlight exposure criteria

Eleonora Brembilla, Shervin Azadi, Pirouz Nourian

Delft University of Technology, The Netherlands

Building performance simulation supporting typical design activities: the case of ‘Organising 2D layout'

Steffen Petersen, Mike Steen Kingo Danielsen, Pernille Klavsen

Aarhus University, Denmark

Natural ventilation predictions for a slum house in Dhaka using large-eddy simulations within a multi-fidelity simulation framework with uncertainty quantification

Yunjae Hwang, Catherine Gorle

Stanford University, United States of America

Analysis of the thermal inertia in historic buildings and related effects for retrofit strategies applied to urban energy modeling

Laura Carnieletto, Enrico Prataviera, Giuseppe Emmi, Michele De Carli, Angelo Zarrella

University of Padova, Italy

Simulation of outdoor thermal comfort: a tweak with energyplus

Edouard Walther¹, Carla Delmarre², Séverine Huet¹

1: AREP L'hypercube, France; 2: INSA Lyon, Département Génie Civil et Urbanisme, France

Lumped-capacitance models to evaluate the urban cooling energy consumptions: analysis on a case-study district in the University of Padua.

Enrico Prataviera, Pierdonato Romano, Laura Carnieletto, Jacopo Vivian, Angelo Zarrella

University of Padua, Italy

GIS-based multi-scale residential building energy modeling using a data-driven approach

Usman Ali¹, Mohammad Haris Shamsi¹, Mark Bohacek³, Karl Purcell³, Cathal Hoare¹, Eleni Mangina², James O’Donnell¹

1: School of Mechanical & Materials Engineering, Energy Institute University College Dublin (UCD), Ireland; 2: School of Computer Science and Informatics, University College Dublin (UCD), Ireland; 3: Sustainable Energy Authority Of Ireland, Dublin, Ireland

Data-driven estimation of parametric uncertainty of reduced order RC models for building climate control

Anke Uytterhoeven^1,2, Ina De Jaeger^1,3, Kenneth Bruninx^1,2, Dirk Saelens^1,3, Lieve Helsen^1,2

1: EnergyVille, Genk, Belgium; 2: KU Leuven, Mechanical Engineering Department, Leuven, Belgium; 3: KU Leuven, Civil Engineering Department, Leuven, Belgium

Formulation and implementation of a model predictive control (MPC) strategy for a PCM-driven building ventilation cooling system

Tao Yang¹, Konstantin Filonenko¹, Jonathan Dallaire¹, Viktor Bue Ljungdahl¹, Muhyiddine Jradi¹, Esther Kieseritzky², Felix Pawelz², Christian Veje¹

1: Center for Energy Informatics, University of Southern Denmark, Denmark; 2: Rubitherm Technologies GmbH, Berlin, Germany

Data-driven prediction of flow parameters in a ventilated cavity using high-fidelity CFD simulations

Nina Morozova, Fransesc Xavier Trias Miquel, Roser Capdevila Paramio, Asensio Oliva Llena

​Heat and Mass Transfer Technological Center (CTTC), Universitat Politècnica de Catalunya (UPC), Spain

Evaluating data-driven building stock heat demand forecasting models for energy optimization

Tohid Jafarinejad, Ina De Jaeger, Arash Erfani, Dirk Saelens

Katholieke Universiteit Leuven, Belgium

The effect of climate change on the renovation of social housing

Els Van de moortel, Delphine Ramon, Karen Allacker, Frank De Troyer

KU Leuven, Belgium

The feasibility of ventilative cooling in an office building in a Flemish urban context and the impact of future climate scenario’s

Joost Declercq¹, Delphine Ramon², Fabrice Derny³, Karen Allacker²

1: archipelago architects, Belgium; 2: KU Leuven, Belgium; 3: MATRIciel, Belgium

Performance simulation of a geothermal rain water tank coupled to building ventilation

Jean-Baptiste Bouvenot

INSA Strasbourg/ICube Laboratory, France

Development of an urban microclimate model to assess the air temperature field during the summer period

Julie Soriano^1,2, Lucie Merlier¹, Damien David¹, Frédéric Kuznik¹, Lionel Soulhac²

1: Univ Lyon, CNRS, INSA-Lyon, Université Claude Bernard Lyon 1, CETHIL UMR5008, F-69621, Villeurbanne, France; 2: Laboratoire de Mécanique des Fluides et d’Acoustique UMR CNRS 5509, École Centrale de Lyon, Université Claude Bernard Lyon 1, INSA Lyon, 69134 Écully Cedex, France

Simulation of outdoor thermal conditions of sub-urban neighbourhood typology in Ha Tinh, Viet Nam

Dung Ngo Hoang Ngoc^1,3, Emilia Motoasca², Alexis Versele¹, Cuong Pham Hung³, Hilde Breesch¹

1: Faculty of Engineering Technology, KU Leuven, Ghent, Belgium; 2: VITO NV, Mol, Belgium; 3: Faculty of Architecture and Planning, National University of Civil Engineering, Ha Noi, Viet Nam

Case studies for feasibility and potential estimation of demand response control of district heating and cooling system in Japan

Hisataka Kitora¹, Shohei Miyata², Yasunori Akashi²

1: The Kansai Electric Power Company,Incorporated, Japan; 2: The University of Tokyo

Improving the training efficiency of automated fault detection and diagnosis for central chilled water plants by transfer learning

Shohei Miyata¹, Yasunori Akashi¹, Yasuhiro Kuwahara², Katsuhiko Tanaka³

1: Department of Architecture, School of Engineering, The University of Tokyo, Japan; 2: MTD Co.,Ltd., Japan; 3: Tokyo Electric Power Company Holdings, Inc., Japan

Evaluating stack effect impact of thermal comfort in high rise office towers

Gary Chang, Karim El Mokhtari, Russell Richman, J.J. McArthur

Ryerson University, Canada

End-to-end Model for Estimating Heat loss of Building envelope using Deep learning with Infrared image

Heesung Park¹, Sangho Son¹, Ji Young Kang¹, Haemin Jung¹, Seungeon Lee², Deuk-Woo Kim², Wooju Kim¹

1: Department of Industrial Engineering, Yonsei University, Seoul, Republic of Korea; 2: Korea Institute of Civil Engineering and Building Technology, Goyang-Si, Republic of Korea

Life cycle metrics of certified green school buildings’ envelope shading scenarios

Paula Brumer Franceschini, Lizzie Pulgrossi, Vanessa Gomes, Doris Kowaltowski, Leticia Oliveira Neves

University of Campinas (UNICAMP), Brazil

A simplified open-loop control strategy for integrated shading and lighting systems using machine learning

Jiarong Xie, Azadeh Omidfar Sawyer

Carnegie Mellon University, United States of America

Exterior insulation thickness and its effect on energy usage and thermal comfort on a high-performance multi-unit residential building

Edward Chun Ming Lau, Fitsum Tariku

British Columbia Institute of Technology, Canada

A GIS-based regional scale analysis of urban water balance with an aquifer-based water supply

Shirley Tandoh, Robert Ries

University of Florida, United States of America

Reducing reliance on deterministic asset ratings to improve the operational energy performance of buildings

Minu Agarwal¹, Parag Rastogi², George Mavromatidis³

1: CEPT, Ahmedabad, India; 2: arbnco Ltd., Glasgow, UK; 3: ETH Zurich, Switzerland

Modeling of VOC removal in a commercial airplane hangar by multiple exhaust hoods

Fei Liu, Tengfei Zhang

Tianjin University, China, People's Republic of

Virtual reality enabled building-data management through the combination of a fully integrated IFC-BIM model and an IoT-based building management system

Sergi Aguacil Moreno¹, Sebastian Duque Mahecha¹, Alexandre Dennis Stoll¹, Tiago De Sousa Pereira¹, Laurent Deschamps¹, Jean-Phillippe Bacher²

1: Building2050 group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Fribourg, Switzerland; 2: Energy Institute, University of Applied Science of Western Switzerland (HEIA-FR, HES-SO), Fribourg, Switzerland

Achieving carbon emission reduction goals through calibrated energy modeling and parametric analyses

Samuel Mason¹, Andre Legault²

1: Encompass Energy, United States of America; 2: MRA, Quebec, Canada

Modeling and simulation of district heating and cooling systems using CityBES

Han Li, Tianzhen Hong, Wanni Zhang

Lawrence Berkeley National Laboratory, United States of America

Impact of multiple urban microclimates in building performance. A simulation approach to support climate-resilient building design.

Jesus Lizana, Eduardo Diz-Mellado, Victoria Patricia Lopez-Cabeza, Carlos Rivera-Gomez, Carmen Galan-Marin

Universidad de Sevilla, Spain

Integration of raytracing and CFD simulations to assess the impact of UVGI technology on the control of aerosol transmission in an occupied room

Miaomiao Hou^2,1, Jihun Kim^1,4, Jovan Pantelic³, Dorit Aviv¹

1: University of Pennsylvania; 2: Tongji University; 3: KU Leuven; 4: City University of New York

Numerical prediction of dew condensation in EAHE system in summer

Kazuma Hirata, Kento Tomoda, Yasuyuki Shiraishi

The University of Kitakyushu, Japan

Perspectives of building simulation in Brazil: Brazilian building simulation market landscape and the applicability of ASHRAE standard 209

Alberto Hernandez Neto¹, Juliana Pellegrini Lemos Trigo¹, Mônica Pereira Marcondes Cavaleri¹, Ana Paula de Almeida Rocha², Maíra André³, Rodrigo Dias Machado¹, Thiago Montenegro Góes⁴

1: University of Sao Paulo, São Paulo, Brazil; 2: FAE University, Curitiba, Brazil; 3: Federal University of Santa Catarina, Florianópolis, Brazil; 4: University of Brasilia, Brasília, Brazil

"Methodology to Evaluate the Room ADPI through CFD Simulation"

Chirag Shah, Praveen Kumar, Rohit Chavan, Sandip Jadhav

Center for Computational Technologies Pvt. Ltd. (CCTech), India

A sensitivity analysis to investigate UHI impact on neighborhood building energy consumption

Sedigheh Ghiasi¹, Ulrike Passe², Yuyu Zhou³, Janette Thompson⁴

1: Iowa state university, United States of America; 2: Iowa state university, United States of America; 3: Iowa state university, United States of America; 4: Iowa state university, United States of America

Evaluation of smart community energy performance using bottom-up energy simulation model

Ayumu Sawamura, Monica I.C. Gondokusuma, Yuki Kitagawa, Yoshiyuki Shimoda

Osaka University, Japan

CFD modelling of contaminant control in designing ventilation system for an airborne infection isolation room (AIIR)

Aaditya Ruiker, Shadab Mohammed, Rohit Chavan, Praveen Kumar, Sandip Jadhav

Center for Computational Technologies Pvt. Ltd. (CCTech)

A framework for integrating high-resolution trees in urban energy use models

Diba Malekpour Koupaei, Ulrike Passe, Janette Thompson

Iowa State University, United States of America

Optimal control of TABS using internal heat load prediction

Fumiaki Deguchi, Yasuyuki Shiraishi

The University of Kitakyushu, Japan

Solar Load modelling in OpenFOAM for indoor HVAC applications

Shadab Mohammed, Sadashiv Khadilkar, Unnati Jadhav, Sandip Jadhav

Center for Computational Technologies Pvt. Ltd., India

Comparative thermal performance analysis of a shaded and non-shaded Double Skin Façade in hot arid areas.

Yomna Saad Elghazi^1,2, Neveen Hamza¹, Martyn Dade-Robertson¹

1: Newcastle University, United Kingdom; 2: Arab Academy for Science, Technology & Maritime Transport, Cairo, Egypt.

The impact of using actual occupancy data on building performance simulation results for a multi-purpose university building

Mahsa Sayfikar, David P. Jenkins

Heriot Watt University, United Kingdom

Impact of the UK’s COVID-19 lockdown on the residential electricity consumption

Kumar Biswajit Debnath, David P Jenkins, Sandhya Patidar, Andrew D Peacock, Peter McCallum

Heriot-Watt University, United Kingdom

Spatiotemporal variation in occupant behavior: statistical analysis and application in American households

Yuanmeng Li, Yohei Yamaguchi, Yoshiyuki Shimoda

Graduate school of engineering,Osaka University, Japan

Development of synthetic ageing occupant behaviour through generative adversarial network

Yuezhong Liu

Nanyang Technological University, Singapore

The impact of occupancy patterns on artificial light energy demand - simulation and post-occupancy-evaluation

Sascha Hammes¹, Martin Hauer¹, David Geisler-Moroder¹, Johannes Weninger¹, Rainer Pfluger², Wilfried Pohl¹

1: Bartenbach GmbH, Austria; 2: University of Innsbruck, Unit of Energy Efficient Building, Austria

Numerical and experimental evaluation of a granular PCM-enhanced plaster for the energy refurbishment of historic buildings

Eleonora Baccega, Michele Bottarelli

University of Ferrara, Italy

Predicting thermal comfort for diverse populations

Nathaniel Jones¹, Ingrid Chaires¹, Ian Mackenzie², Timothy Arioto¹, Alexej Goehring¹

1: Arup, United States of America; 2: Arup, Canada

Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors

Anne S Berres¹, Brett Bass², Joshua New³, Piljae Im³, Marie Urban⁴, Jibonananda Sanyal¹

1: Computational Science and Engineering Division, Oak Ridge National Laboratory, TN, USA; 2: Bredesen Center, University of Tennessee at Knoxville, Knoxville, TN, USA; 3: Electrification and Energy Infrastructures Division, Oak Ridge National Laboratory, TN, USA; 4: Geospatial Science and Human Security Division, Oak Ridge National Laboratory, TN, USA

Personas to understand occupant behavior and energy usage in buildings

Vinu Subashini Rajus¹, William O’Brien², Gabriel Wainer¹

1: Department of Systems and Computer Engineering, Carleton University, Canada; 2: Department of Civil and Environmental Engineering, Carleton University, Canada

Building energy performance analysis of the application of a vision-based deep learning approach for occupancy activity detection

Paige Wenbin Tien, Shuangyu Wei, John Kaiser Calautit, Jo Darkwa, Christopher Wood

University of Nottingham, United Kingdom

The impact of glazing characteristics, orientation and wall reflectance on energy, daylighting, visual comfort and environmental performance in patient rooms

Nazanin Eisazadeh, Frank De Troyer, Karen Allacker

KU Leuven, Belgium

Lighting for circadian well-being: a simulation-based workflow for the visual and non-visual lighting design of a nursing home

Donatienne Carmon, Sergio Altomonte

Universite' catholique de Louvain, Belgium

A daily-based approach to study daylighting performance of openwork façades of classrooms in hot-humid climates: glare protection, daylight sufficiency and circadian potential.

Natalia Giraldo Vasquez^1,2, Luisa Fernanda Callejas³, Lucas Arango Diaz⁴

1: PósArq, Department of Architecture and Urbanism, Federal University of Santa Catarina,Florianópolis, Brazil; 2: ICIEE, DTU Civil Engineering, Technical University of Denmark, Kongens Lyngby, Denmark; 3: University of Bio-Bio, Bio-Bio, Chile; 4: Faculty of Integrated Arts, University of San Buenaventura, Medellin, Colombia

Spatial evaluation of potential saturation and contrast effects of discomfort glare in an open-plan office

Geraldine Quek¹, Stephen Wasilewski^2,1, Jan Wienold¹, Marilyne Andersen¹

1: École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; 2: Lucerne University of Applied Sciences and Arts, Horw, Switzerland

Carbon-cost efficient retrofit of passive and active systems in residential buildings using genetic algorithm

Negar Mohtashami^1,2, Rita Streblow¹, Linda Hildebrand², Dirk Müller¹

1: Institute for Energy Efficient Buildings and Indoor Climate, RWTH Aachen University, Germany; 2: Chair of Reuse in Architecture, Faculty of Architecture, RWTH Aachen University, Germany

Application of a long-term MPC formulation to hybrid GEOTABS buildings

Iago Cupeiro Figueroa¹, Lieve Helsen^1,2

1: KU Leuven, Belgium; 2: Energyville, Belgium

Development and validation of radiation-coupled multimodal heat flux boundary condition for incompressible buoyant internal flows in OpenFOAM

Jake Haskell¹, Mike Jäger¹, Pia Riedel¹, Jerell Gill², Paul Lynch², Talbot Kingsbury², Steven Downie²

1: Arup, Advanced Building Engineering, Germany; 2: Arup, Advanced Digital Engineering, UK

Optimal control of TABS by Sparse MPC

Yasuyuki Shiraishi¹, Masaaki Nagahara¹, Dirk Saelens²

1: The University of Kitakyushu, Japan; 2: KU Leuven, Belgium

Developing an archetype building stock model for new cities in Egypt

Fady Abdelaziz, Rokia Raslan, Phil Symonds

UCL Institute for Environmental Design and Engineering

Bayesian approach to accounting for uncertain heating system efficiency in co-heating tests

Sarah Juricic, Simon Rouchier

UMR 5271 Univ. Savoie Mont-Blanc CNRS, France

Revealing the hidden dynamics of the energy signature model

Jaume Palmer Real, Christoffer Rasmussen, Davide Cali, Henrik Madsen

DTU, Denmark

Urban heat islands in future climate scenarios

Violeta Lialios-Bouwman, J. Alstan Jakubiec

University of Toronto, Canada

Impact of changes in design/operation guidelines against the COVID-19 on the energy performance of an institutional building: a case study

Pedro Guaraldi, Radu Zmeureanu

Centre for Zero Energy Building Studies, Department of Building, Civil, and Environmental Engineering, Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Canada

HVAC performance evaluation and optimization algorithms development for large buildings

Mike Stock¹, Mohamed Kandil¹, Brian Macleod², Brad Pilgrim², Jennifer McArthur¹

1: Ryerson University, Toronto, Canada; 2: Parity Inc, Toronto, Canada

AI-based building type assignment

Brett Czech Bass¹, Joshua Ryan New², Evan Ezell¹, Eric Garrison¹, Piljae Im², William Copeland³

1: University of Tennessee, Knoxville, TN United States of America; 2: Oak Ridge National Laboratory, Oak Ridge, TN United States of America; 3: Electric Power Board, Chattanooga, TN, United States

Evaluation and test operation of different model predictive control approaches for an energy system

Christina Betzold, Arno Dentel

Technische Hochschule Nürnberg Georg Simon Ohm, Germany

Embodied facade retrofit design with augmented reality in the built environment

John Sermarini, Robert A. Michlowitz, Joseph J. LaViola Jr., Lori C. Walters, Roger Azevedo, Joseph T. Kider Jr.

University of Central Florida, United States of America

Tree shading factor as input for thermal model through hemispherical photography

Suyashi Srivastava¹, Swati Puchalapalli², Dr. Marshal Maskarenj³

1: Building Energy Performance, CEPT University; 2: Terra Viridis, Hyderabad; 3: Universite Catholique de Louvain, Louvain-la-Neuve, Belgium

Development of the City of London thermal comfort guidelines

Ryan Danks, Ruth Shilston, Ozkan Ender, Jayyaratnam Krishan

RWDI, United Kingdom

Albedo impact on the microclimate of courtyards, potential implications on the UHI. A case study in Seville, Spain.

Sebastian Alzate-Gaviria, Victoria Patricia Lopez-Cabeza, Eduardo Diz-Mellado, Carlos Rivera-Gomez, Carmen Galan-Marin

Universidad de Sevilla, Spain

Sensitivity analysis of the UK Standard Assessment Procedure for dwellings

Benjamin Halls, Steven Firth, Kevin Lomas

Loughborough University, United Kingdom

Calibration of a multi-residential building energy model - Part I: Cluster-based sensitivity analysis

Charlotte Marguerite¹, Van Long Lê¹, Charlotte Beauthier¹, Olivier Fontaine de Ghélin¹, Cécile Goffaux¹, Loïc De Moffarts²

1: Cenaero, Belgium; 2: Thomas&Piron, Belgium

Numerical study on the performance of the temperature-controlled airflow ventilation system during the movement of a patient from the operating room to the MRI room

Parastoo Sadeghian¹, Henrik Skredsvik², Marco Baroni², Cong Wang¹, Sasan Sadrizadeh¹

1: KTH Royal Institute of Technology, Stockholm, Sweden; 2: Avidicare, Lund, Sweden

Interdisciplinary parametric modelling and modularization to improve air quality, acoustics and lighting in school buildings

Clara-Larissa Lorenz, Tobias Burgholz, Maximilian Schildt, Jérôme Frisch, Christoph van Treeck

RWTH Aachen, Germany

A new method for comparing long-term thermal conditions in buildings

Shide Salimi¹, Holly Samuelson¹, Esteban Estrella Guillén²

1: Harvard University, United States of America; 2: Universidad de Monterre, Mexico

Application of coupling of the human and clothing thermal system and computational fluids dynamics in the evaluation of energy and comfort in occupied spaces

Eusebio Conceição¹, Mª Inês Conceição², Mª Manuela Lúcio¹, Hazim Awbi³

1: University of Algarve, Portugal; 2: Instituto Superior Técnico, University of Lisbon, Portugal; 3: School of Built Environment, University of Reading, United Kingdom

Pre-retrofit monitoring of indoor air quality and energy use in a low-rise block of flats in the UK

Rajat Gupta, Alastair Howard

Low Carbon Building Research Group, Oxford Brookes University, United Kingdom