Building thermal state and technical systems dynamic modeling

• Autorzy: Deshko V. I. , Sukhodub I. O. , Yatsenko O. I.
• Języki publikacji: EN

Abstrakty

EN

Public and residential buildings are significant consumers of heat energy in Ukraine. According to [1] 44% of the heat energy is consumed by the housing and communal sector, while 42% of it falls on central heating systems. Therefore, to ensure the energy resources rational use an effective approach to the heating systems design is needed. Building energy modeling software can be used for decision-making to enhance energy efficiency during the building design and operation phases [2, 3]. The definition and prediction of buildings energy consumption for heating can be made using different approaches. Some papers deal with statistical processing of real energy consumption data gathered by monitoring systems or simulation results [4]. The considered approach includes regression, artificial neural network and fuzzy logic analysis for prediction [5, 6]. Such methods of analysis are suitable for existing building and require measuring tools, including appliances for collecting data on energy consumption, temperatures, solar radiation etc. Quasi-stationary approaches for estimating energy consumption for heating are currently used in Ukraine for building energy certification during design and operation phases [7]. Dynamic approach using simplified hourly method (5R1C) is becoming used to investigate building thermal state [8].

Słowa kluczowe

EN

thermal energy; central heating systems; building energy; energy efficiency; mathematical model

• Wydawca: Kielce University of Technology
• Czasopismo: Journal of New Technologies in Environmental Science
• Rocznik: 2018
• Tom: Vol. 2, nr 1
• Strony: 36--46
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Deshko V. I.

• National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

autor

Sukhodub I. O.

• National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

autor

Yatsenko O. I.

• National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Bibliografia

• [1] Poluyanov V.P., Kravchenko R.S. (2012): Perspektivi razvitiya zentralizovanogo teplosnabgeniya v Ukraine v kontekste gosudarstvenno-chastnogo partnerstwa [Prospects of the district heating development in Ukraine in the context of state-private partnership]. Biznesinform, 5, pp. 109-112 [in Russian].
• [2] Abdullah A., Cross B., Aksamija A. (2014): Whole Building Energy Analysis: A Comparative Study of Different Simulation Tools and Applications in Architectural Design. 2014 ACEEE Summer Study on Energy Efficiency in Buildings. p. 11-1 - 11-12.
• [3] Attia S., Hensen J.L.M., Bertran L. & De Herde A. (2012): Selection criteria for building performance simulation tools: contrasting architects' and engineers' needs. Journal of Building Performance Simulation, vol. 5, no 3, pp. 155-169.
• [4] Pedersen L., Stang J., Ulseth R.: Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems. Energy and Buildings 40 (2008), pp. 1124-1134.
• [5] Ulsetha R., Lindberg K.B., Georges L., Alonso M.J., Utne Å.: Measured load profiles and heat use for “low energy buildings” with heat supply from district heating. Energy Procedia 116 (2017), pp. 180-190.
• [6] Chen X., Yang H., Sun K.: Developing a meta-model for sensitivity analyses and prediction of building performance for passively designed high-rise residential buildings. Applied Energy. Volume 194, 2017, pp. 422-439.
• [7] DSTU B A.2.2-12:2015. Enerhetychna efektyvnist' budivel'. Metod rozrakhunku enerhospozhyvannya pry opalenni, okholodzhenni, ventylyatsiyi, osvitlenni ta haryachomu vodopostachanni [Energy efficiency of buildings. Method of calculation of energy use for heating, cooling, ventilation, lighting and hot water supply]. K.: Minrehion Ukrayiny. 2015.
• [8] DSTU B EN ISO 13790:2011. Enerhoefektyvnist' budivel'. Rozrakhunok enerhospozhyvannya pry opalenni ta okholodzhenni [Energy efficiency of buildings. Calculation of energy consumption for heating and cooling]. K.: NDIBK, 2011 (ukr).
• [9] Monfet D., Zmeureanu R., Charneux R., Lemire N.: Computer Model of a University Building Using the EnergyPlus Program. Proc. Building Simulation 2007, 8 p.
• [10] Pan Y., Zuo M., Wu G. (2009): Whole building energy simulation and energy saving potential analysis of a large public building. Eleventh International IBPSA Conference, pp. 129-136.
• [11] Ferrari S., Zagarella F.: Assessing Buildings Hourly Energy Needs for Urban Energy Planning in Southern European Context // Procedia Engineering Volume 161, 2016, pp. 783-791.
• [12] Crawley D.B., Lawrie, L.K., Winkelmann F.C., Buhl W.F. [and others] (2001): EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 33(4), pp. 319-331.
• [13] Crawley D.B., Lawrie L.K. [and others] (2001): EnergyPlus: new capabilities in a whole-building energy simulation program. BS2001. IBPSA, pp. 51-58.
• [14] Ahmad M.W., Mourshed M., Yuce B. et al. (2016): Computational intelligence techniques for HVAC systems: A review. Build. Simul. Vol. 9: 359. https://doi.org/10.1007/s12273-016-0285-4.
• [15] The official website of EnergyPlus Energy Simulation Software. Available at: https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v8.6.0/InputOutputReference.pdf
• [16] Deshko V.I., Sukhodub I.O., Yatsenko O.I. (2017): Doslidgennya pidchodiv do viznachennya teplovogo navantagenniya sistemi opalennya [The investigation of different approaches to heating system load determination]. Naukovyy zhurnal «Enerhetyka: ekonomika, tekhnolohiyi, ekolohiya», vol. 2, p. 52-60. (ukr)
• [17] Lam K.P., Zhao J., Ydstie B.E., Wirick J., Qi M., Park J. (2014): An EnergyPlus whole building energy model calibration method for office buildings using occupant behavior data mining and empirical data. ASHRAE/IBPSA-USA Building Simulation Conference, pp. 160-167.
• [18] Bahnfleth W.P.: Three-Dimensional Modelling of Heat Transfer From Slab Floors. University of Illinois, Urbana, 1989.
• [19] Bahnfleth W.P., Pedersen C.O.: A Three-Dimensional Numerical Study of Slab-on-Grade Heat Transfer. ASHRAE Transactions, St. Louis, 1990, vol. 96, no 2, pp. 61-72.
• [20] Clements E.: Three Dimensional Foundation Heat Transfer Modules for Whole-Building Energy Analysis. Pennsylvania: The Pennsylvania State University, 2004.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).