Cited by 19Building Energy and Comfort OptimizationIntegrated Energy Systems OptimizationBuilding energy efficiency and sustainability

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Development of a white-box dynamic building thermal model integrated with a heating system

Tol, Hakan İbrahim, Madessa, Habtamu Bayera·2023·Journal of Building Engineering

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Crossref · 10.1016/j.jobe.2023.106038

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Research works printed but not linked: 24

  1. Lundström, 2019, Development of a space heating model suitable for the automated model generation of existing multifamily buildings—a case study in Nordic climate, Energies, 12, 10.3390/en12030485 · DOI
  2. Fateh, 2019, A state-space analysis of a single zone building considering solar radiation, internal radiation, and PCM effects, Appl. Sci., 9, 10.3390/app9050832 · DOI
  3. Ogunsola, 2015, Application of a simplified thermal network model for real-time thermal load estimation, Energy Build., 96, 309, 10.1016/j.enbuild.2015.03.044 · DOI
  4. Belić, 2021, Detailed thermodynamic modeling of multi-zone buildings with resistive-capacitive method, Energies, 14, 10.3390/en14217051 · DOI
  5. Xu, 2011, Simulation and analysis on control effectiveness of TRVs in district heating systems, Energy Build., 43, 1169, 10.1016/j.enbuild.2010.08.030 · DOI
  6. Belazi, 2022, Thermal modeling of the occupied multi-zone buildings taking into account the uncertainties of occupant behavior, Case Stud. Therm. Eng., 33, 10.1016/j.csite.2022.101978 · DOI
  7. Kämpf, 2007, A simplified thermal model to support analysis of urban resource flows, Energy Build., 39, 445, 10.1016/j.enbuild.2006.09.002 · DOI
  8. Yüksel, 2021, Comparison of thermal response times of historical and modern building wall materials, J. Therm. Eng., 7, 1506, 10.18186/thermal.991093 · DOI
  9. Wang, 2019, Development of RC model for thermal dynamic analysis of buildings through model structure simplification, Energy Build., 195, 51, 10.1016/j.enbuild.2019.04.042 · DOI
  10. Nielsen, 2005, Simple tool to evaluate energy demand and indoor environment in the early stages of building design, Sol. Energy, 78, 73, 10.1016/j.solener.2004.06.016 · DOI
  11. Boodi, 2020, Simplified building thermal model development and parameters evaluation using a stochastic approach, Energies, 13, 10.3390/en13112899 · DOI
  12. Bueno, 2012, A resistance-capacitance network model for the analysis of the interactions between the energy performance of buildings and the urban climate, Build. Environ., 54, 116, 10.1016/j.buildenv.2012.01.023 · DOI
  13. Satyavada, 2016, An integrated control-oriented modelling for HVAC performance benchmarking, J. Build. Eng., 6, 262, 10.1016/j.jobe.2016.04.005 · DOI
  14. Lund, 2018, Future district heating systems and technologies: on the role of smart energy systems and 4 th generation district, Energy, 10.1016/j.energy.2018.09.115 · DOI
  15. Brand, 2014, Smart district heating networks - a simulation study of prosumers' impact on technical parameters in distribution networks, Appl. Energy, 129, 39, 10.1016/j.apenergy.2014.04.079 · DOI
  16. Bastida, 2021, Modelling and control of district heating networks with reduced pump utilisation, IET Energy Syst. Integr., 3, 13, 10.1049/esi2.12001 · DOI
  17. Tol, 2022, Building simulation | resistance capacitance model, GitHub Repos
  18. Pedersen, 2019, The effect of including hydronic radiator dynamics in model predictive control of space heating, Energy Build., 183, 772, 10.1016/j.enbuild.2018.11.015 · DOI
  19. Tol, 2022, Transient radiator model (Python), GitHub Repos
  20. Xu, 2008, Dynamic simulation of space heating systems with radiators controlled by TRVs in buildings, Energy Build., 40, 1755, 10.1016/j.enbuild.2008.03.004 · DOI
  21. Tol, 2022, Clear-sky solar irradiation, GitHub Repos
  22. Michalak, 2021, Modelling of solar irradiance incident on building envelopes in Polish climatic conditions: the impact on energy performance indicators of residential buildings, Energies, 14, 10.3390/en14144371 · DOI
  23. Elbiz, 2019, Effectiveness in space and energy utilization in HVAC system selection, İzmir Institute of Technology. M.Sc. Thesis, İzmir, Turkey, 185
  24. Amara, 2015, Comparison and simulation of building thermal models for effective energy management, Smart Grid Renew. Energy, 95, 10.4236/sgre.2015.64009 · DOI

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Metadata

Authors
Tol, H. İ., & Madessa, H. B.
Affiliations
OsloMet – Oslo Metropolitan University (NO)
Corresponding author
Tol, Hakan İbrahim
Venue
Journal of Building Engineering
Publisher
Elsevier BV
Published
2023-06
Volume
68
Pages
106038
ISSN
2352-7102 (ISSN-L)
OpenAlex
W4319872704
Cited by
19
References
0
Citations by year
2026: 3 · 2025: 9 · 2024: 7
FWCI
2.28
Type
journal article
Language
en
Open access
closed
Locations
Journal of Building Engineering (publishedVersion)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
  • Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
Keywords
building thermal simulation, white-box models, lumped capacitance model, heating systems, thermostatic radiator valves, solar heat gain, multi-zone building model, multilayer walls, transient thermal behaviour

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