Open Access
| Issue |
E3S Web Conf.
Volume 238, 2021
100RES 2020 – Applied Energy Symposium (ICAE), 100% RENEWABLE: Strategies, Technologies and Challenges for a Fossil Free Future
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 7 | |
| Section | Renewable Energies in Buildings | |
| DOI | https://doi.org/10.1051/e3sconf/202123806001 | |
| Published online | 16 February 2021 | |
- D. Pinel, “Clustering methods assessment for investment in zero emission neighborhoods’ energy system, ” IJEPES, Vol. 121, (2020). [Google Scholar]
- T. Capuder and P. Mancarella, “Technoeconomic and environmental modelling and optimization of flexible distributed multigeneration options, ” Energy, Vol. 71, pp. 516-533, (2014). [CrossRef] [Google Scholar]
- A. Fleischhacker, G. Lettner, D. Schwabeneder and H. Auer, “Portfolio optimization of energy communities to meet reductions in costs and emissions, ” Energy, Vol. 173, pp. 1092-1105, (2019). [CrossRef] [Google Scholar]
- P. Gabrielli, M. Gazzani, E. Martelli and M. Mazzotti, “Optimal design of multi-energy systems with seasonal storage, ” Applied Energy, Vol. 219, pp. 408-424, (2018). [Google Scholar]
- S. Mashayekh, M. Stadler, G. Cardoso and M. Heleno, “A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids, ” Applied Energy, Vol. 187, pp. 154-168, (2017). [Google Scholar]
- B. Morvaj, R. Evins and J. Carmeliet, “Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout, ” Energy, Vol. 116, pp. 619-636, (2016). [CrossRef] [Google Scholar]
- C. Weber and N. Shah, “Optimisation based design of a district energy system for an ecotown in the United Kingdom, ” Energy, Vol. 36, pp. 1292-1308, (2011). [CrossRef] [Google Scholar]
- M. Pavičević, T. Novosel, T. Pukšec and N. Duić, “Hourly optimization and sizing of district heating systems considering building refurbishment – Case study for the city of Zagreb, ” Energy, Vol. 137, pp. 1264-1276, (2017). [CrossRef] [Google Scholar]
- B. Fina, H. Auer and W. Friedl, “Profitability of active retrofitting of multi-apartment buildings: Building-attached/integrated photovoltaics with special consideration of different heatingsystems, ” Energy and Buildings, Vol. 190, pp. 86-102, (2019). [Google Scholar]
- M. Fesanghary, S. Asadi and Z. W. Geem, “Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm, ” Building and Environment, Vol. 49, pp. 245-250, (2012). [Google Scholar]
- W. Wang, R. Zmeureanu and H. Rivard, “Applying multi-objective genetic algorithms in green building design optimization, ” Building and Environment, Vol. 40, no. 11, pp. 1512-1525, (2005). [Google Scholar]
- E. Antipova, D. Boer, G. Guillén-Gosálbez, L. F. Cabeza and L. Jiménez, “Multi-objective optimization coupled with life cycle assessment for retrofitting buildings, ” Energy and Buildings, Vol. 82, pp. 92-99, (2014). [Google Scholar]
- K. B. Lindberg and G. Doorman, “Hourly load modelling of non-residential building stock, ” in Powertech, Grenoble, (2013). [Google Scholar]
- K. B. Lindberg, G. Doorman, J. E. Chacon and D. Fischer, “Hourly electricity load modelling of non-residential passive buildings in a nordic climate, ” in Powertech, Eindhoven, (2015). [Google Scholar]
- Y. Fan and X. Xia, “A Multi-objective Optimization Model for BuildingEnvelope Retrofit Planning, ” in ICAE, Energy Procedia, Abu Dhabi, (2015). [Google Scholar]
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