Open Access
E3S Web Conf.
Volume 246, 2021
Cold Climate HVAC & Energy 2021
Article Number 07003
Number of page(s) 7
Section System Design and Sizing
Published online 29 March 2021
  1. A. Eleonora, M. Frey and F. Rizzi, “Towards nearly zero-energy buildings: The state-of-art of national regulations in Europe,” Energy, vol. 57, pp. 125–133, 2013. [Google Scholar]
  2. J. Oh, T. Hong, H. Kim, J. An, K. Jeong and C. Koo, “Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle,” Sustainability, vol. 12, p. 2272, 2017. [Google Scholar]
  3. D. P. Jenkins, “The importance of office internal heatgains in reducing cooling loads in achanging climate,” Low-Carbon Technologies, vol. 4, pp. 134–140, 2009. [Google Scholar]
  4. T. Coşkun, C. Turhan, Z. Durmuş Arsan and G. Gökçen Akkurt, “The Importance of Internal Heat Gains for Building Cooling Design,” Thermal Engineering, vol. 3, pp. 1060–1064, 2017. [Google Scholar]
  5. F. Goia, “Search for the optimal window-to-wall ratio in office buildings in different European climates and the implications on total energy saving potential,” Solar Energy, vol. 132, pp. 467–492, 2016. [Google Scholar]
  6. M. Thalfeldt, E. Pikas, J. Kurnitski and H. Voll, “Facade design principles for nearly zero energy buildings in a cold climate,” Energy and Buildings, vol. 67, pp. 309–321, 2013. [Google Scholar]
  7. M. Thalfeldt and J. Kurnitski, “External shading optimal control macros for 1- and 2-piece automated blinds in European climates,” Building Simulation, vol. 8, pp. 13-25, 2015. [Google Scholar]
  8. I. Sarbu and C. Sebarchievici, “A Comprehensive Review of Thermal Energy Storage,” Sustainability, vol. 10, no. 1, p. 191, 2018. [Google Scholar]
  9. B. He, “High-Capacity cool thermal energy storage for peak shaving - a solution for energy challanges in the 21st Century,” Stockholm, 2004. [Google Scholar]
  10. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc., ASHRAE® Handbook - Fundamentals (SI Edition) - 18.6.2 Overview, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (ASHRAE), 2017, pp. 57, 58. [Google Scholar]
  11. V. W. Y. Tam, L. Almeida and K. Le, “Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review,” Sustainability, vol. 10, no. 8, p. 2635, 2018. [Google Scholar]
  12. J. Zhao, B. Lasternas, K. P. Lam, R. Yun and V. Loftness, “Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining,” Energy and Buildings, vol. 82, pp. 341–355, 2014. [Google Scholar]
  13. I. Richardson, M. Thomson and D. Infield, “A high-resolution domestic building occupancy model for energy demand simulations,” Energy and Buildings, vol. 40, no. 8, pp. 1560-1566, 2008. [Google Scholar]
  14. A. Mahdavi, F. Tahmasebi and M. Kayalar, “Prediction of plug loads in office buildings: Simplified and probabilistic methods,” Energy and Buildings, vol. 129, pp. 322–329, 2016. [Google Scholar]
  15. Z. Wang, T. Hong and M. A. Piette, “Data fusion in predicting internal heat gains for office buildings through a deep learning approach,” Applied Energy, vol. 240, pp. 386–398, 2019. [Google Scholar]
  16. R. Wang, S. Lu and W. Feng, “A novel improved model for building energy consumption prediction based on model integration,” Applied Energy, vol. 262, p. 114561, 2020. [Google Scholar]
  17. A. Ferrantelli, H. Kuivjõgi, J. Kurnitski and M. Thalfeldt, “Office Building Tenants’ Electricity Use Model for Building Performance Simulations,” Energies, vol. 13, no. 21, p. 5541, 2020. [Google Scholar]
  18. D. R. Felts and P. Bailey, “The state of affairs—packaged cooling equipment in California,” Proceedings of the 2000 ACEEE Summer Study on Energy Efficiency in Buildings, pp. 137-147, 2000. [Google Scholar]
  19. A. Ferrantelli, H. K. Aljas, V. Maask and M. Thalfeldt, “Tenant-based measured electricity use in 4 large office buildings in Tallinn, Estonia,” in Cold Climate HVAC 2021, Tallinn, 2021. [Google Scholar]
  20. EN 16798-1, “Energy performance of buildings - Part 1: Indoor environmental input parameters for design and assessment of energy performance of buildings,” CEN, Brussels, Belgium, 2019. [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.