An Individual Household-Based Heating Metering and Charging Management System for Central Heating in Community Residential Buildings

Zhang, Fengqin

doi:10.18280/ijht.390312

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…In the study, a pricing management system has been designed to ensure that the heating measurement is fair in the mass housing building and to solve the heat-sharing problem. He found that this measurement system is important in terms of energy optimization, energy saving, and emission values [15]. Cho et al (2020) investigated the effect of hydraulic balancing of the heating system in buildings on energy saving and improving the thermal conditions of the volume.…”

Section: Wwwdergiparkgovtr/tdfdmentioning

confidence: 99%

Comparison of Central and Individual Heating Systems Used for Heating Housings

Omar

2023

Türk Doğa Ve Fen Dergisi

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Today, energy production based on fossil energy sources has become seriously questioned by societies due to both cost and environmental pollution. Fossil energy sources are mainly used for heating houses, which constitute a significant part of energy consumption. In this study, central heating systems, which are the most widely used methods to meet the heat energy needs of buildings, and individual heating systems are examined and compared. In the study, the heat loss and energy need of a 5-story building consisting of 10 flats in Kars Center with a total heated area of 1080 m2 were calculated using the TS 825 calculation method, accordingly, calculation of heater devices for both systems, determination of heating system elements, annual fuel consumption amount and cost calculation has been made. Natural gas was used as fuel in both systems to be compared for heating the building. According to the values obtained as a result of the study, it was seen that individual heating systems have higher costs than central heating systems in terms of both initial investment and heating cost. It has been determined that central heating systems are more advantageous in terms of initial investment cost, fuel consumption, and total cost. While the total cost was 441096 TL for the central heating system, it was 508825 TL for the individual heating system.

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Section: Wwwdergiparkgovtr/tdfdmentioning

confidence: 99%

Comparison of Central and Individual Heating Systems Used for Heating Housings

Omar

2023

Türk Doğa Ve Fen Dergisi

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“…When there are a large number of households in a building, it is unfortunate that there is often a lack of detailed specifications or installation instructions to guide the installation locations. Therefore, the monitoring devices are always installed randomly, and the average value of these randomly installed monitoring points was calculated and used to evaluate the heating requirement of a building, a heating station, or a heating system [16]. However, the household's temperature was not only affected by the supplied heating but also by the location, the occupancy rate, etc.…”

Section: Introductionmentioning

confidence: 99%

Installation Principle and Calculation Model of the Representative Indoor Temperature-Monitoring Points in Large-Scale Buildings

Lu,

Xu,

Yuan

2023

Energies

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Although indoor temperature was an important criterion for the evaluation of heating requirements, it was costly to install temperature-monitoring devices in every household for large-scale buildings. However, it was inexpensive to install the device at some representative locations, and the average temperature can be used to evaluate the heating requirement. In this case, it was obvious that the accuracy was limited by the location and number of installations and the calculation method. In this paper, first, the indoor temperature variation relationship between the object and adjacent households was analyzed. It was found that the correlation between the household situated above and the household in which the object was located was the strongest, which provides a new energy-saving regulation strategy. Then, the indoor temperature of households in different locations was classified using the k-means algorithm, and the installment location, number of representative points, and comprehensive indoor temperature calculation model were determined. Finally, the installment principle and calculation model were applied. The results show that, compared with the traditional method, the temperature obtained via the proposed method was closer to the actual temperature and was less affected by the instability of communication.

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