Open Access
Issue |
E3S Web Conf.
Volume 172, 2020
12th Nordic Symposium on Building Physics (NSB 2020)
|
|
---|---|---|
Article Number | 12010 | |
Number of page(s) | 5 | |
Section | Heating and DHW | |
DOI | https://doi.org/10.1051/e3sconf/202017212010 | |
Published online | 30 June 2020 |
- IEAPVPS, ‘Snapshot of global PV markets 2014ʹ. (2014). [Google Scholar]
- GWEC, ‘Global wind statistics 2014ʹ. (2014). [Google Scholar]
- Lund, P., Lindgren, J., Mikkola, J. and Salpakari, J., ‘Review of energy system flexibility measures to enable high levels of variable renewable electricity’. Renewable and Sustainable Energy Reviews (2015). 45: p. 785-807. [CrossRef] [Google Scholar]
- Jensen, S., Marszal, A.J., Lollini, R., Paust, W., Armin, K., Engelmann, P., Stafford, A. and Reynders, G., ‘IEA EBC Annex 67 Energy Flexible Buildings’. Energy and Buildings, (2017). [Google Scholar]
- Reynders, G., Lopes, R.A., Marszal-Pomianowska, A., Aelenei, D., Martins, J. and Saelens, D., ‘Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage’. Energy and Buildings, (2018). 166: p. 372-390. [Google Scholar]
- Reynders, G., Diriken, J. and Saelens, D. (2016) ‘Quantifying the active demand response potential: impact of dynamic boundary conditions.’. CLIMA 2016 – proceedings of the 12th REHVA World Congress. 2016. [Google Scholar]
- Le Dreau, J. and Heiselberg, P., ‘Energy flexibility of residential buildings using short term heat storage in the thermal mass’. Energy, (2016). 111: p. 991-1002. [CrossRef] [Google Scholar]
- Foteinaki, K., Rongling, L., Heller, A. and Rode, C., ‘Heating system energy flexibility of low-energy residential buildings’. Energy and Buildings, (2018). 180: p. 95-108. [Google Scholar]
- Weiß, T., Fulterer, A.M. and Knotzer, A., ‘Energy flexibility of domestic thermal loads – a building typology approach of the residential building stock in Austria’. Advances in Building Energy Research, (2019). 13(1): p. 122-137. [CrossRef] [Google Scholar]
- Reynders, G., Diriken, J. and Saelens, D. (2015) ‘A generic quantification method for the active demand response potential of structural storage in buildings’. 14th International Conference of the International Building Performance Simulation Association. 2015. Hyderabad, India. [Google Scholar]
- Reynders, G., ‘Quantifying the impact of building design on the potential of structural storage for active demand response in residential buildings’. PhD thesis, (2015). [Google Scholar]
- Candanedo, J., Saberi Derakhtenjani, A., D’Avignon, K. and Athienitis, A.K. (2018) ‘A pathway for the derivation of control-oriented models for radiant floor heating applications’. esim 2018. 2018. Montreal, Canada. [Google Scholar]
- Saberi Derakhtenjani, A., D’Avignon, K. and Athienitis, A.K. (2018) ‘Development of a Predictive Control Methodology for a Hydronic De-icing System for Urban Infrastructure’. Intelligent Transport Systems (ITS) wrold congress 2018. 2018. Copenhagen, Denmark. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.