IBPSA-USA

Building Stock 02: Mapping and Planning

Presenter(s):
Michael Kramer, Darren Robinson, Matt Gregg, Andrea Zani, Takashi Momonoki, Christina Protopapadaki
Date of Recording:
08/08/2017
Long Description

This is a recording of a Building Simulation 2017 session presentation, held on August 8, 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 02: Mapping and Planning

Chair: Ian Hamilton

​Presenters:

Bottom-up Modeling of Residential Heating Systems for Demand Side Management in District Energy System Analysis and Distribution Grid Planning
Michael Kramer, Technical University of Munich, Germany

Platform for Dynamic National Housing Stock Simulation to Evaluate Decarbonisation Scenarios
Darren Robinson, University of Sheffield, UK

Local Energy Mapping for Urban Energy Retrofits
Matt Gregg, Oxford Brookes University, UK

Thermal and Economic Efficiency of Progressive Retrofit Strategies for School Buildings by a Statistical Analysis based Tool
Andrea Zani, Politecnico di Milano, Italy

Evaluation of the Greenhouse Gas Reduction Effect in the Japanese Residential Sector Considering the Characteristics of Regions and Households
Takashi Momonoki, Osaka University, Japan

Sensitivity of Low Voltage Grid Impact Indicators to Modelling Assumptions and Boundary Conditions in Residential District Energy Modelling
Christina Protopapadaki, KU Leuven, Belgium

Docs:
Tags:
BS2017, building simulation 2017, building stock, Residential Heating Systems, retrofits, energy modeling, BEM
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