Influence of the Convective Surface Transfer Coefficients on the Heat, Air, and Moisture (HAM) Building Performance

This study was performed to determine the heating energy savings and carbon dioxide reduction that would result from turning off ondol heating in housing units in Korea. Lowering the room temperature and intermittent heating of a room are effective methods for reducing heating energy consumption. These techniques were proven in our previous studies by modelling simulations. To confirm the simulations schedule controllers, which automatically turned off the ondol heating in the living room and kitchen from 10 pm to 6 am, were installed at the hot water distributor in five households. The heating gas used in each of the housing units was measured over a period of 5 years, with and without the schedule controllers. We found that approximately 30% of gas consumption, mainly used for heating, can be saved compared to turning on the appliance during the night.

Section: Discussionmentioning

confidence: 99%

An Energy Saving Technique Using Ondol Heating Schedule Control of Housing Units in Korea

Kim

Lee

Hong

2010

“…A simple on-off control method was adopted in most apartment housing units until the mid-2000 s and is still distributed occasionally [13,14]. As the on-off control method does not use a flow-rate control valve, the equivalent length by the control valve was 0 in all of the rooms, and the hot water coil installed would not exceed 50 m. For our calculation for the on-off control method, Room 1 was assumed to have two Ondol coil modules of 52 m, and the Living Room was assumed to have four modules of 51.5 m.…”

Section: Hot Water Coil Installation and Control Methodsmentioning

confidence: 99%

Method and Analysis of a Dynamic Simulation of Ondol Heating

Kim

Hong

Kim³

et al. 2010

Ondol heating, a kind of radiant floor heating, is the main form of heating being used in housing units in Korea. Although Ondol can provide a more comfortable and healthy indoor environment than any other form of heating systems, a more precise simulation is required to further improve the system to prevent over and under heating of the housing environment. However, due to complexity, building energy simulation has so far not been performed, for systems such as Ondol and other relevant facilities. For evaluating energy consumption and indoor temperature variation, a new method has been proposed. In this study, a dynamic simulation of Ondol heating was carried out by combining TRNSYS and EES. This new system of building simulation could contribute to determine over or under heating of the system in a housing unit. The simulation results of a typical housing unit in Korea showed a good trend in a viewpoint of actual behaviour of Ondol heating, maintaining a comfortable and healthy indoor environment with less energy consumption. Nomenclature

“…This paper presents a methodology for the determination of the spatial profile of the interior convective heat transfer coefficient in buildings. The spatial profile of the interior convective heat transfer coefficient is of crucial importance as it can have a significant influence in energy simulations 14 and in mould growth assessments, 15,16 of which the latter are of importance for occupant health and material degradation related issues. Despite its importance, previous studies on the convective heat transfer coefficient on building components are mainly performed on isolated free-edge surfaces, 17–19 hence resulting in coefficients that are actually inappropriate for surfaces in real buildings.…”

Section: Introductionmentioning

confidence: 99%

A determination methodology for the spatial profile of the convective heat transfer coefficient on building components

Vereecken

Janssen

Roels

2016

Self Cite

Several experimental procedures have been established to determine the convective heat transfer coefficient, a frequently used parameter in many engineering disciplines. Almost all of these methodologies focus on point or spatially averaged values. Yet, in many studies the spatial profile of the local convective heat transfer is of importance. In this paper, a methodology to determine such spatial profile is proposed. In this method, experiments are combined with Monte Carlo simulations. Such an approach makes it possible to account for inaccuracies in the input data. As an example, the methodology is applied to determine the spatial profile of the local convective heat transfer coefficient near a corner for two thermal bridge configurations. The temperature difference between interior surface and indoor air is found to restrict the applicability of the method. Nonetheless, for the case with a sufficient temperature difference, the order of magnitude of the convective heat transfer coefficients further away from the corner is in line with literature data. An important limitation of the technique at this stage of its development is, however, its requirement for prior knowledge of the equation that describes the spatial profile of the convective heat transfer coefficient. Despite these drawbacks, the methodology shows much potential and can be valuable for other applications as well.