Open Access
Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
---|---|---|
Article Number | 06027 | |
Number of page(s) | 8 | |
Section | Sustainable Urbanization and Energy System Integration | |
DOI | https://doi.org/10.1051/e3sconf/201911106027 | |
Published online | 13 August 2019 |
- United Nations Framework Convention on Climate Change Secretariat, “Kyoto Protocol,” Kyoto, (1997). [Google Scholar]
- United Nation Framework Convention on Climate Change in 21st Conference of the Parties, “Paris Agreement,” Paris, (2015). [Google Scholar]
- European Commission, Energy efficient buildings - Multi-annual roadmap for the contractual PPP under Horizon 2020. Publications Office of the European Union, Luxembourg, (2013). [Google Scholar]
- U.S. Energy Information Administration, “Commercial Buildings Energy Consumption Survey: Energy Usage Summary,” (2016). [Google Scholar]
- U.S. Energy Information Administration, Buildings Sector Energy Consumption. U.S. Department of Energy, Washington, (2016s). [Google Scholar]
- F. Yousefi, Y. Gholipour, and W. Yan, “A study of the impact of occupant behaviors on energy performance of building envelopes using occupants’ data,” Energy Build. , vol. 148, pp. 182–198, (2017). [Google Scholar]
- UN-Habitat, “Urban themes: Energy.” [Online]. Available: https://unhabitat.org/urban-themes/energy/. [Accessed: 22-Oct-2018]. [Google Scholar]
- United Nations Department of Economic and Social Affairs Population Division, “World Urbanization Prospects: The 2018 Revision, Online Edition”, (2018). [Google Scholar]
- F. Causone, A. Sangalli, L. Pagliano, and S. Carlucci, “Assessing energy performance of smart cities,” Build. Serv. Eng. Res. Technol. , vol. 39, no. 1, pp. 99–116, (2018). [Google Scholar]
- F. Causone, A. Sangalli, L. Pagliano, and S. Carlucci, “An Exergy Analysis for Milano Smart City,” Energy Procedia, vol. 111, no. September 2016, pp. 867–876, (2017). [Google Scholar]
- J. Sokol, C. Cerezo Davila, and C. F. Reinhart, “Validation of a Bayesian-based method for defining residential archetypes in urban building energy models,” Energy Build. , vol. 134, pp. 11–24, (2017). [Google Scholar]
- H. Lund, P. A. Østergaard, D. Connolly, and B. V. Mathiesen, “Smart energy and smart energy systems,” Energy, vol. 137, pp. 556–565, (2017). [CrossRef] [Google Scholar]
- N. Good, E. A. Martínez Ceseña, and P. Mancarella, “Ten questions concerning smart districts,” Build. Environ. , vol. 118, pp. 362–376, (2017). [Google Scholar]
- S. Bracco, F. Delfino, G. Ferro, L. Pagnini, M. Robba, and M. Rossi, “Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas,” Appl. Energy, vol. 228, no. July, pp. 2288–2297, (2018). [Google Scholar]
- R. Aghamolaei, M. H. Shamsi, M. Tahsildoost, and J. O’Donnell, “Review of district-scale energy performance analysis: Outlooks towards holistic urban frameworks,” Sustain. Cities Soc., vol. 41, no. March, pp. 252–264, (2018). [Google Scholar]
- P. Caputo, G. Costa, and S. Ferrari, “A supporting method for defining energy strategies in the building sector at urban scale,” Energy Policy, vol. 55, pp. 261–270, (2013). [Google Scholar]
- W. Li et al. , “Modeling urban building energy use: A review of modeling approaches and procedures,” Energy, vol. 141, no. December, pp. 2445–2457, (2017). [CrossRef] [Google Scholar]
- C. F. Reinhart and C. Cerezo Davila, “Urban building energy modeling - A review of a nascent field,” Build. Environ. , vol. 97, pp. 196–202, (2016). [Google Scholar]
- E. Fabrizio, S. P. Corgnati, F. Causone, and M. Filippi, “Numerical comparison between energy and comfort performances of radiant heating and cooling systems versus air systems,” HVAC R Res. , vol. 18, no. 4, pp. 692–708, (2012). [Google Scholar]
- F. Causone, B. W. Olesen, and S. P. Corgnati, “Floor heating with displacement ventilation: An experimental and numerical analysis,” HVAC R Res. , vol. 16, no. 2, pp. 139–160, (2010). [CrossRef] [Google Scholar]
- O. Guerra Santin, L. Itard, and H. Visscher, “The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock,” Energy Build. , vol. 41, no. 11, pp. 1223–1232, (2009). [Google Scholar]
- V. Fabi, V. M. Barthelmes, Y. Heo, and S. P. Corgnati, “Monitoring and stimulating energy behavioural change in university buildings towards post carbon cities” IBPSA Build. Simul. 2017, pp. 423–429, 2017. [Google Scholar]
- V. M. Barthelmes, C. Becchio, and S. P. Corgnati, “Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort”, Sci. Technol. Built Environ. , vol. 22, no. 7, pp. 960–975, 2016. [Google Scholar]
- K. Sun, T. Hong, and J. Kim, “A simulation framework for quantifying the influence of occupant behaviour on savings of energy efficiency measures”, IBPSA Build. Simul. 2017,(2017). [Google Scholar]
- S. Carlucci, F. Causone, L. Pagliano, and M. Pietrobon, “Zero-Energy Living Lab,” in Smart Energy Control Systems for Sustainable Buildings, 1st ed., J. Littlewood, C. Spataru, R. J. Howlett, and L. C. Jain, Eds. Springer International Publishing, (2017), p. 67. [Google Scholar]
- F. Causone, S. Carlucci, L. Pagliano, and M. Pietrobon, “A zero energy concept building for the Mediterranean climate,” Energy Procedia, vol. 62, no. December, pp. 280–288, (2014). [Google Scholar]
- F. Causone, M. Pietrobon, L. Pagliano, and S. Erba, “A high performance home in the Mediterranean climate: From the design principle to actual measurements,” Energy Procedia, vol. 140, pp. 67–79, (2017). [Google Scholar]
- P. Hoes, J. L. M. Hensen, M. G. L. C. Loomans, B. de Vries, and D. Bourgeois, “User behavior in whole building simulation,” Energy Build. , vol. 41, no. 3, pp. 295–302, (2009). [Google Scholar]
- A. Alfakara and Ben Corxford, “Towards Better Buildings Performance Estimations ? A Framework for Integrating Dynamic Occupant Behaviour in Dynamic Buildings Simulation Tools,” IBPSA Build. Simul. 2017, pp. 299–308, (2017). [Google Scholar]
- F. Causone, S. Carlucci, M. Ferrando, A. Marchenko, S. Erba, “A data-driven procedure to model occupancy and occupant-related electric load profiles in residential buildings for energy simulation,” Energy Build. (under review). [Google Scholar]
- S. Erba, F. Causone, and R. Armani, “The effect of weather datasets on building energy simulation outputs,” Energy Procedia, vol. 134, pp. 545–554, (2017). [Google Scholar]
- “ISO 15927-4: 2005. Hygrothermal performance of buildings - Calculation and presentation of climatic data - Part 4: Hourly data for assessing the annual energy use for heating and cooling.” [Google Scholar]
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