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The Impact of Ventilation and Shading Control on the Result of Summer Overheating Simulation


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[1] SRINIVASAN, R. S. - MANOHARAN, B. - ISSA, R. R. A.: Urban Building Energy CPS (UBE-CPS): Realtime Demand Response using Digital Twin. In CPS in the Built Environment, Anumba, C.A., Roofigari, N., Eds., Springer, Berlin/Heidelberg, Germany, 2020, pp. 309-322.10.1007/978-3-030-41560-0_17 Search in Google Scholar

[2] MOZAFARI, N. - ALIMARDANI, M.: Climate Adaptability of Old and New House in Bushehr´s Historical Texture. Civil and Environmental Engineering, Vol. 16, Iss. 2, 2020, pp. 249-258.10.2478/cee-2020-0024 Search in Google Scholar

[3] DURICA, P. - JURAS, P. - STAFFENOVA, D. - RYBARIK, J.: Lightweight Wood-Based Wall: The Long-Time Evaluation of Heat-Air-Moisture Transport. Communications - Scientific Letters of the University of Zilina, Vol. 18, Iss. 4, 2016, pp. 68-76.10.26552/com.C.2016.4.68-76 Search in Google Scholar

[4] PONECHAL, R. - STAFFENOVA, D.: Insulation Thickness versus Dynamic Thermal Parameters of External Walls with Regard to the Thermal Stability. Communications - Scientific Letters of the University of Zilina, Vol. 19, Iss.3, 2017, pp. 102-108.10.26552/com.C.2017.3.102-108 Search in Google Scholar

[5] FABI, V. - ANDERSEN, R. V. - CORGNATI, S. - OLESEN, B. W.: Occupants’ window opening behaviour: A literature review of factors influencing occupant behaviour and models. Build. Environ., 58, 2012, pp. 188–198.10.1016/j.buildenv.2012.07.009 Search in Google Scholar

[6] HENSEN, J. L. M. - LAMBERTS, R. (Eds.): Building Performance Simulation for Design and Operation, 2nd ed., Routledge, 2019.10.1201/9780429402296 Search in Google Scholar

[7] MAY-OSTENDORP P. - HENZE G. P. - CORBIN CH. D. - RAJAGOPALAN, B. - FELSMANN C.: Model-predictive control of mixed-mode buildings with rule extraction. Building and Environment, Vol. 46, Iss. 2, 2011, pp. 428-437.10.1016/j.buildenv.2010.08.004 Search in Google Scholar

[8] COFFEY B.: Approximating model predictive control with existing building simulation tools and offline optimization. Journal of Building Performance Simulation, Vol. 6, Iss. 3, 2013, pp. 220-235.10.1080/19401493.2012.737834 Search in Google Scholar

[9] LEE, Y. - MALKAWI, A.: Simulating human behavior: An agent-based modeling approach. Proceedings of the 13th IBPSA Conference, Chambery, France, 26–28 August, 2013. Search in Google Scholar

[10] HONG, T. - D’OCA, S. - TURNER, W. J. N. - TAYLOR-LANGE, S. C.: An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Building and Environment, Iss. 92, 2015, pp. 764–777.10.1016/j.buildenv.2015.02.019 Search in Google Scholar

[11] HONG, T. - D’OCA, S. - TAYLOR-LANGE, S. C. - TURNER, W. J. N. - CHEN, Y. - CORGNATI, S. P.: An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. Building and Environment, Iss. 94, 2015, pp.196–205.10.1016/j.buildenv.2015.08.006 Search in Google Scholar

[12] RIJAL, H. et al.: Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings. Energy and Buildings, Vol. 39, Iss.7, 2007, p. 823-836.10.1016/j.enbuild.2007.02.003 Search in Google Scholar

[13] HALDI, F., - ROBINSON, D.: The impact of occupants behavior on building energy demand. Journal of Building Performance Simulation, Vol. 4, Iss. 4, 2011, pp. 323-338.10.1080/19401493.2011.558213 Search in Google Scholar

[14] BOURGEOIS, D.: Detailed occupancy prediction, occupancy-sensing control and advanced behavioural modeling within whole-building energy simulation. PhD Thesis from Faculté Des Études Supérieures, Université Laval, Québec, 2005, 148 p. Search in Google Scholar

[15] CHEN, Y. - LUO, X. - HONG, T.: An Agent-Based Occupancy Simulator for Building Performance Simulation. Conference: 2016 ASHRAE Annual Conference At: St. Louis, MO, USA, 2016. Search in Google Scholar

[16] DZIEDZIC, J. W. - YAN, D. - SUN, H. - NOVAKOVIC, V.: Building occupant transient agent-based model–Movement module. Applied Energy, Vol. 261, 2020, 114417.10.1016/j.apenergy.2019.114417 Search in Google Scholar

[17] CHEN, Y. - LIANG, X. - HONG, T. - LUO, X.: Simulation and visualization of energy-related occupant behavior in office buildings. Building Simulation, Tsinghua University Press, Beijing, China, Vol. 10, 2017, pp. 785–798.10.1007/s12273-017-0355-2 Search in Google Scholar

[18] JIANJUN H. J. - KARAVA, P.: Model predictive control strategies for buildings with mixed-mode cooling. Building and Environment, Vol. 71, 2014, pp. 233-244.10.1016/j.buildenv.2013.09.005 Search in Google Scholar

[19] ISO 7730:2005 Ergonomics of the thermal environment — Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria Search in Google Scholar

[20] NICOL, J. F. - HUMPHREYS, M. A.: Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, Vol. 34, 2002, pp. 563–572.10.1016/S0378-7788(02)00006-3 Search in Google Scholar

[21] SCHELLEN, L. – VAN MARKEN, L. W. D. - LOOMANS, M. G. L. C. - TOFTUM, J. – DE WIT, M. H.: Differences between young adults and elderly in thermal comfort, productivity, and thermal physiology in response to a moderate temperature drift and a steady-state condition. Indoor Air, Vol. 20, 2010, pp. 273-283.10.1111/j.1600-0668.2010.00657.x Search in Google Scholar

[22] HYVARINEN, J. - KÄRKI, S.: Building Optimization and Fault Diagnosis Source Book. IEA Annex 25, Technical Research Centre of Finland, Espoo, Finland, 1996. Search in Google Scholar

[23] JEON, B. K. - KIM, E. J. - SHIN, Y. - LEE, K. H.: Learning-Based Predictive Building Energy Model Using Weather Forecasts for Optimal Control of Domestic Energy Systems. Sustainability, Vol. 11, Iss. 1, 2018, pp. 1-16.10.3390/su11010147 Search in Google Scholar

[24] PONECHAL, R. - KYSELA P.: The Influence of Ventilation Schedules on Summer Thermal Comfort in Small Dwellings. Proceedings of 11. Conf. IBPSA-CZ, Brno, 2020. Search in Google Scholar

[25] PONECHAL, R. – JURASOVA, D.: The impact of heat gain schedules on summer overheating in typical insulated dwellings. In International Review of Applied Sciences and Engineering, IRASE, Budapešť, Akadémiai Kiadó, Vol. 9, No. 2, 2018, pp. 123-128.10.1556/1848.2018.9.2.7 Search in Google Scholar

[26] RIJAL H. B. - TUOHY P. - NICOL F. - HUMPHREYS M. A. - SAMUEL A. - CLARKE J.: Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings. Journal of Building Performance Simulation, Vol. 1, Iss. 1, 2008, pp.17-30.10.1080/19401490701868448 Search in Google Scholar

[27] JURASOVA, D.: Analysis of Long-term Measured Exterior Air Temperature in Zilina. Civil and Environmental Engineering, Vol. 14, Iss. 2, 2018, pp.124-131.10.2478/cee-2018-0016 Search in Google Scholar

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