Influence of an unheated apartment on the heating consumption of residential building considering current regulations—Case of Serbia

Lukić, Nebojša; Nikolić, Novak; Timotijević, S.; Tasić, S.

doi:10.1016/j.enbuild.2017.09.006

Cited by 14 publications

(8 citation statements)

References 7 publications

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“…From the analysis of the results it can be observed that heat transfer between a heated dwelling toward an adjacent unheated, ranges 20-25% of its theoretical energy need, which is much lower than the estimated 70-90% in available literature [10,12,13]. This is essentially due to the fact that the investigated building is poorly insulated (i.e., low thermal insulation both in the internal partitioning walls and towards the external environment); thus, the energy need of dwellings is mainly determined by their thermal dispersion towards the outdoor environment (compared to which the heat transfers toward other apartments are certainly lower).…”

Section: Amentioning

confidence: 80%

“…In fact, especially in old and existing buildings, the lack of insulation of walls can generate heat transfers between adjacent apartments, when these are heated at different set-point temperatures (the so-called "stolen heat" or "heat thefts"), being the cause of involuntary over-consumptions for dwelling surrounded by numerous unheated or occasionally heated apartments. In this sense, a number of authors addressed the problem, with some [7][8][9] from the perspective of heat cost allocation, others [10][11][12][13] analyzing the phenomenon in a quantitative manner.…”

Section: Introductionmentioning

confidence: 99%

“…Pakanen and Karjalainen [11] proposed a method for estimating static heat flows between adjacent rooms in a hypothetical environment simulated using TRNSYS software. Lukić et al [12] showed that, in fully insulated buildings, an unheated dwelling can steal about 80% of its total energy need from the surrounding apartments, by simulating a real building using EnergyPlus simulation software. In [13], an energy simulation is adopted to calculate the heat transfer proportion with the validation of on-site measurement, showing an unexpected amount of adjacent room heat transfer up 70% of the total heating load.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Evaluation of Heat Thefts Due to Different Thermal Performances and Operations between Adjacent Dwellings

et al. 2020

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Apartment position and operation within buildings play a significant role on energy consumption and also on perceived thermal comfort. Dwellings with favorable positions can have significant benefit, also when heated for a limited number of hours, if compared to apartments located in disadvantaged positions (i.e., upper or lower floors or north-oriented). This may be the cause of debates, especially in buildings with central heating, when heat costs are shared among tenants by means of sub-metering systems. In this paper, authors address this issue by studying the “heat thefts” phenomenon in dynamic conditions in a low-insulated building, when the heating system is used unevenly by the tenants (i.e., with different temperatures and/or use). To this end, a social housing building located in Mediterranean climate, where daily temperature excursions and solar heat gains enhance the dynamics of the heat flows, has been chosen as the case-study. The real operation of the building has been simulated in different operational scenarios and the model has been validated against energy consumption data collected experimentally. Results confirm that special allocation and or/compensation strategies should be taken in heat costs allocation in order to avoid accentuating situations of inequalities, especially in low-insulated and/or occasionally heated buildings.

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Section: Amentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic Evaluation of Heat Thefts Due to Different Thermal Performances and Operations between Adjacent Dwellings

et al. 2020

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“…Similar to this study, the variations in energy use in various other aspects have been considered in recent years, rather than using the average [30][31][32]. While for those considerations a number of models have been established using various methods [33][34], it is also useful to consider simplified mathematical approaches or empirical…”

Section: Discussionmentioning

confidence: 99%

An energy model of high-rise apartment buildings integrating variation in energy consumption between individual units

Jang

Kang

2018

Energy and Buildings

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Building energy modelling methods have been required to be more accurate by taking into account variation in building factors affecting on energy consumption. However, modelling approaches for high-rise apartment buildings have often disregarded variation arising from individual apartment units. This study aimed to develop a building energy model of high-rise apartment buildings by integrating variation derived from individual apartment units. The methods were designed in three steps: identifying unit-specific heating consumption in different locations; creating a building energy model, based on the physical characteristics of apartment units and identifying the influential heating controls on heating energy consumption; and integrating a new set of polynomial model of independent heating controls in units and their interactions between floors. The result indicates that the averaged heating energy consumption of whole-building has a limited interpretation to represent the wide range of heating energy use in apartment units with different locations from 96 to 171 kWh/m 2 /year. The integrated set of polynomial model found that apartment units on lower floors need either higher set-point temperatures or longer heating hours than the probable heating control in the building-scale. Moreover, the accuracy of the model estimation is also improved to CV RMSE 5.6%.

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“…The energy behaviour of the dormitory was simulated by using the EnergyPlus software (version 8.4.0) [11]. The EnergyPlus software takes into account all factors that influence heat losses and loads in the building, such as electrical appliances, lighting, people occupancy, solar radiation, wind, infiltration and shading [12,13]. The simulation was conducted for real weather data for the city of Kragujevac (Serbia).…”

Section: Building Modelmentioning

confidence: 99%

A Preliminary Assessment of Residential Application of Internal Combustion Engine Based Cogeneration in Serbian Climatic Conditions With Building Simulation Program

Nikolic¹,

Lukić²,

Milutinović³

et al. 2019

MVM

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In this paper the energetic and economic performance assessment of residential application of IC engine based cogeneration system in the Serbian climatic conditions using building energy simulation software was performed. The performance of IC based system was compared with the performance of the two other conventional systems for DHW preparation: gas and electric water heater. Comparing the IC based system with gas water heater the period required to return investment costs of IC engine is relatively high (11.7 years). The main barriers for widespread residential application of IC engine cogeneration system are related to the high capital costs and low price of purchased or sold electricity. In this respect, the investment cost reduction in small scale cogeneration systems has to be achieved. In relation to the current price in Serbia the price of purchased and sold electricity (feed-in tariff) should be increased by 37.5% and 67.5%, respectively, in order to achieve the value of payback period of five years. Comparing the IC based system with electric water heater the application of the IC engine is economically feasible since the payback period amounts 3.42 years. According to the simulation results, the IC engine cogeneration system ensured a primary energy saving of 28.81%.

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Influence of an unheated apartment on the heating consumption of residential building considering current regulations—Case of Serbia

Cited by 14 publications

References 7 publications

Dynamic Evaluation of Heat Thefts Due to Different Thermal Performances and Operations between Adjacent Dwellings

Dynamic Evaluation of Heat Thefts Due to Different Thermal Performances and Operations between Adjacent Dwellings

An energy model of high-rise apartment buildings integrating variation in energy consumption between individual units

A Preliminary Assessment of Residential Application of Internal Combustion Engine Based Cogeneration in Serbian Climatic Conditions With Building Simulation Program

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