Journal of Building Performance Simulation
Call for Papers | Data Driven Approaches to Building Simulation for Enhanced Building Operation and Grid Interaction | Deadline: December 31, 2020
Contribute an article
Journal of Building Performance Simulation
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit.
| Important dates | ||
|---|---|---|
| Abstract due date: | June 15, 2020 | |
| Notification of selection for submission of full paper: | June 30, 2020 | |
| Full paper due: | December 31, 2020 | |
The rapid emergence of big data availability, advanced modelling techniques and artificial intelligence has opened numerous opportunities for improving the performance of buildings, in terms of new approaches to design, operation, integration of distributed renewable energy sources, resilience and energy flexibility in the interaction with smart energy networks. In the world of building simulation, ever-increasing measured data from diverse sources will help to improve simulation models and expand their range of applications.
Topics of interest
One page abstracts (250 words) of proposed papers are solicited in the following areas:
- Data-driven simulation models of appropriate resolution for optimizing building operation
- Enhanced calibration methodologies of building performance simulation models
- Identification of parameters of reduced order models for control applications
- Rapid generation and calibration of models from statistical inference
- Data cleaning and pre-treatment of data, including automatic labelling of variables
- Development of occupant-behaviour models for enhanced and optimized building operation
- Modeling and prediction of building-grid interaction and energy flexibility
- Uncertainty assessment for prediction of building response and grid interaction
- Application to urban districts for optimizing their operation and grid interaction
- Model predictive control methodologies and applications
- Novel application case studies, with generalization of results
Scope: the novelty of the contribution with respect to the state-of-the-art will be an important criterion. The incorporation of measured data and case studies is an important consideration. As usual in the JBPS, there are rigorous expectations regarding the soundness of the scientific methodology and their potential as seminal works for future research and long-term impact.
Submissions guidelines
Please submit your Abstract by email to the Guest Editors: Andreas Athienitis (aathieni@encs.concordia.ca) and José Candanedo (jose.candanedoibarra@canada.ca).
Guest Editors
Andreas Athienitis,FCAE, FIBPSA, FASHRAE, NSERC/Hydro Quebec Industrial Chair & Concordia Research Chair, Director, Concordia Centre for Zero Energy Building Studies & Professor, Dept. of Building, Civil and Environmental Engineering, Concordia University
José A. Candanedo, Subtask Leader of EBC Annex 81 (Data-Driven Smart Buildings), Research Scientist, Energy Technology Sector, Natural Resources Canada & Affiliate Professor, Dept. of Building, Civil and Environmental Engineering, Concordia University
