Building Stock 01: Modeling

Kristina Orehounig, Yixing Chen, Morten Brøgger, Michael Mans, Esfand Burman, Juergen Schumacher
Date of Recording:
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This is a recording of a Building Simulation 2017 session presentation, held on August 7, 2017. Building Simulation 2017 brought together practitioners and researchers from around the world to share information about the state of the art in simulation tools and applications and to discuss new developments. The conference featured updates and insights regarding new research to improve simulation capabilities for advanced low-energy building systems, case studies from successful projects that demonstrate the key role that simulation plays, and ongoing efforts to enable compliance and building rating software to support radiant and other energy efficient systems.

Session Title: Building Stock 01: Modeling

Chair: Peter Ellis


A Method to Support Multi-Criteria Decision Making for Building Systems Update at Urban Scale
Kristina Orehounig, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland

City-Scale Building Retrofit Analysis: A Case Study using CityBES
Yixing Chen, Lawrence Berkeley National Laboratory, USA

Flexible Building Stock Modelling Using Array Programming
Morten Brøgger, Aalborg University Copenhagen, Denmark

Using Evolutionary Algorithms to Design Energy Supply Systems for a Changing Building Stock
Michael Mans, RWTH Aachen University, Germany

The Socio Economics and Energy Demand – United Kingdom Model (SEEDUK) Understanding the Dynamics, Diversity and Socio Economics of the UK Domestic Stock
Esfand Burman, University College, London, UK

Forward and Inverse Modelling of New York Buildings in an Urban Scale Simulation Environment
Juergen Schumacher, University of Applied Sciences Stuttgart, Germany

BS2017, building simulation 2017, building stock, urban scale modeling, energy modeling, BEM