Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
Energy Modelling & Monitoring 1
Monday, 26/July/2021:
1:00pm - 2:00pm

Session Chair: Dimitrios Rovas

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1:00pm - 1:20pm

CITYBIT: CityGML Building Interpolation Tool for Energy Performance Simulations*

Avichal Malhotra, Simon Raming, Jérôme Frisch, Christoph van Treeck

Institute of Energy Efficiency and Sustainable Building, RWTH Aachen University, Germany

This paper describes a CityGML Building Interpolation tool (CityBIT) for the creation of user-defined and interpolated building models for planned and/or existing buildings. A brief explanation of the tool’s functionalities and the methodologies adapted to develop the tool are explained in this paper. The CityBIT aims to help urban planners and simulation scientists to facilitate CityGML model developments for energy performance simulations.

1:20pm - 1:40pm

Exchange requirements to support demand side management using BIM and building automation system domains*

Flavia de Andrade Pereira1,2, Conor Shaw1, Susana Martín-Toral2, Roberto Sanz Jimeno2, Donal Finn1, James O'Donnell1

1University College Dublin, School of Mechanical and Materials Engineering, Ireland; 2CARTIF Technology Centre, Energy Efficiency and Sustainability Energy Division, Spain

Demand Side Management (DSM) programmes promote energy flexibility, cost reduction and resilience in both grids and buildings, which can be supported by integrating Building Information Modelling (BIM) and Building Automation System (BAS). Despite recent advances in the field, research to date remains limited in defining data requirement structures and interoperable approaches to exploit the potential of this integration. This paper defines a set of exchange requirements (ERs) to support DSM using BIM and BAS domains. The definition of these ERs is the foundation to create a common data model that enables context-aware DSM optimisation strategies.

1:40pm - 2:00pm


Hervé Pruvost1, Gloria Calleja-Rodríguez2, Olaf Enge-Rosenblatt1, Noemi Jimenez-Redondo2, Juan-Jacobo Peralta-Escalante2

1Fraunhofer IIS EAS, Germany; 2CEMOSA, Spain

This paper presents an IT system that provides building users with hands-on executable recommendations in order to reduce their energy consumption. For that purpose, it analyses building operation data in real-time in order to identify energy wastes as well as suitable energy conservation measures that shall help saving energy without compromising comfort and indoor environmental quality. One main goal is to provide a highly scalable solution that can be easily replicated and used in a wide range of buildings thus enabling resource saving at a large scale.

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