Comparison of building energy consumption by instrumental and calculation approaches

• Autorzy: Deshko V. , Sukhodub I. , Yatsenko E.
• 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]. Quasi-stationary approaches are currently used in Ukraine for building energy certification [4]. Dynamic approach using simplified hourly method is becoming used to investigate building thermal state [5]. Dynamic simulation programs are a powerful tool for energy efficiency and building thermal state investigation [6, 7]. EnergyPlus is one of the most advanced open access energy simulation application. This program uses the best features of two well-known modeling techniques: DOE-2 and BLAST.

Słowa kluczowe

EN

public buildings; residential buildings; heat energy; energy consumption; heating systems

• Wydawca: Kielce University of Technology
• Czasopismo: Journal of New Technologies in Environmental Science
• Rocznik: 2017
• Tom: Vol. 1, nr 2
• Strony: 74--80
• Opis fizyczny: Bibliogr. 13 poz., rys., tab., wykr.

Twórcy

autor

Deshko V.

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" (Ukraine)

autor

Sukhodub I.

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" (Ukraine)

autor

Yatsenko E.

• National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" (Ukraine)

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. pp. 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] 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.
• [5] 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)
• [6] Monfet D., Zmeureanu R., Charneux R., Lemire N., Computer Model of a University Building Using the EnergyPlus Program. Proc. Building Simulation 2007, 8 p.
• [7] 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.
• [8] 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.
• [9] Crawley D. B., Lawrie L. K. [and others] (2001), EnergyPlus: new capabilities in a whole-building energy simulation program. BS2001. IBPSA, pp. 51-58.
• [10] 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.
• [11] 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.
• [12] 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, pp. 52-60 (ukr).
• [13] 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.

Uwagi

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