Evaluation of differentiated impact of apartment building occupants' behavior on energy consumption

Deshko, V.; Bilous, Inna; Shovkaliuk, M.; Maksym, Hurieiev

doi:10.1109/ess50319.2020.9160046

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Many sources of renewable alternative energy are fitted. Excess electricity can be sold to support outdoor buildings or to the public grid [20]. The technical specifications are passive and similar to that of an intelligent home.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments

Komala¹,

Vimal

Ravindra³

et al. 2022

International Journal of Photoenergy

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The outer surface of the building is the same size as its premises, with greater heat loss. Therefore, when building, renovating, or expanding apartment, if possible, avoid all kinds of spaces, ledges, and lodges in the walls. It makes sense to build unheated exterior buildings on the north side of the apartment. The storage rooms for garden tools and bicycles, technical buildings protect the warm part of the house from wind and cold. In the most common design of a private apartment, the energy consumption for heating is 110-130 kW per 1 m2 per year. In this paper, an energy distribution model was proposed to estimate the photo energy with the help of deep learning model. A small apartment not only uses less energy but also requires lower construction costs. An energy-efficient apartment is a building with a low-energy consumption and comfortable microclimate. Energy savings in such homes can be up to 90%. Annual heat demand can be less than 15 kWh per square meter of energy-efficient home.

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Section: Introductionmentioning

confidence: 99%

Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments

Komala¹,

Vimal

Ravindra³

et al. 2022

International Journal of Photoenergy

View full text Add to dashboard Cite

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Energy Performance of Higher Education Institutions Buildings Operating During Quarantine Restrictions and/or Martial Law in Ukraine

Deshko,

Bilous,

Boiko

et al. 2024

Latvian Journal of Physics and Technical Sciences

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During the pandemic and periods of martial law, educational institutions in Ukraine implemented various forms of organising the educational process, combining in-person and remote classes. As a result, there has been a decrease in the level of use of building premises. The analysis of the characteristics of energy consumption in these conditions requires additional attention. In this study, a dynamic energy model of the building was created using the educational building of Igor Sikorsky Kyiv Polytechnic Institute as an example. Energy consumption for heating needs was determined for normal operating conditions and quarantine conditions in Ukraine (only a specific part of the premises is being operated, ensuring that the standard temperature value is maintained while people are present). Based on the results of the study, the features of the energy consumption of the building during quarantine/martial law restrictions, subject to the partial use of the building, were analysed, and the main disadvantages of such a mode were identified. For the educational building of the university, the total energy consumption for heating needs depends on the number of rooms that are actively used, and the modes of regulation of heating and ventilation; the consumption can decrease depending on the chosen scenario by 61 %, 56 %, and 34 % in quarantine mode. The findings indicate that the efficiency of regulation modes can decrease by more than four times when compared to normal mode due to internal heat exchange with unoccupied rooms.

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Evaluation of differentiated impact of apartment building occupants' behavior on energy consumption

Cited by 2 publications

References 9 publications

Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments

Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments

Energy Performance of Higher Education Institutions Buildings Operating During Quarantine Restrictions and/or Martial Law in Ukraine

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