https://doi.org/10.6110/KJACR.2017.29.10.497

Byung Ki Jeon ; Eui-Jong Kim

In recent years, studies on the prediction of building load using Artificial Neural Network (ANN) models have been actively conducted in the field of building energy In general, building loads predicted by ANN models show a sharp deviation unless large data sets are used for learning. On the other hands, some of the input data are hard to be acquired by common measuring devices. In this work, we estimate daily building loads with a limited number of input data and fewer pastdatasets (3 to 10 days). The proposed model with fewer input data gave satisfactory results as regards to the ASHRAE Guide Line showing 21% in CVRMSE and -3.23% in MBE. However, the level of accuracy cannot be enhanced since data used for learning are insufficient and the typical ANN models cannot account for thermal capacity effects of the building. An attempt proposed in this work is that learning procersses are sequenced frequrently and past data are accumulated for performance improvement. As a result, the model met the guidelines provided by ASHRAE, DOE, and IPMVP with by 17%, -1.4% in CVRMSE and MBE, respectively.

http://dx.doi.org/10.6110/KJACR.2017.29.10.504

Kyung Soo Kim ; Jang Hoo Seo ; Yong Seong Kim ; Haeng Woo Lee

The insulation performance of aircaps has been recognized and various studies regarding the aircap as a solution to increased building energy consumption are being carried out. However, the aircap is not durable and therefore it cannot play the role of an independent finishing material. Accordingly, the purpose of this study is to suggest an aircap wall module with improved durability through the lamination of the aircap and verify its effectiveness by evaluating its energy saving performance for lighting and air conditioning through a full-scale testbed. The conclusions of this study are as follows. 1) The aircap wall module featuring a laminated aircap that is being proposed in this study can save lighting energy due to the permeability of the aircap in comparison to previous insulating materials. 2) The aircap wall module with a laminated aircap is effective in improving heating and air-conditioning energy saving when it is more than 15 cm-thick during summer and winter in comparison to a 5 cm-thick prefabricated panel. 3) The aircap wall module featuring a laminated aircap is effective in improving lighting and heating and air-conditioning energy saving when it is 10 cm- and 5 cm-thick during summer and winter, respectively, in comparison to a 5 cm-thick prefabricated panel.

https://doi.org/10.6110/KJACR.2017.29.10.515

Tae Ho Kim ; Sung Ho Ko

EnergyPlus, which is widely used in various fields, provides Simple Window Model, a window model that can be used practically. However, the results of building load using the model are different from those of the standard model. The main cause of the deviation by Simple Window Model was analyzed to be due to the assumption that all windows were considered as single layer. The purpose of this study is to propose a window model that improves the cause of deviation by Simple Window Model and can be easily calculated from the algebraic relations. The proposed window model solved the heat balance equation algebraically by using seven window characteristic coefficients. The coefficient relationships consisted of the heat transmission coefficient and solar heat gain coefficient as input parameters make practical use and calculation possible. As a result of comparing the deviation between each window model by implementing the dynamic analysis method, the proposed window model showed that the deviation of the total heating/cooling energy consumption was reduced to 1/3 compared to Simple Window Model for one year. Although the maximum energy consumption did not show any significant improvement, the indoor temperature evaluation showed significantly reduced deviation.

http://dx.doi.org/10.6110/KJACR.2017.29.10.530

Hyung Seok Kang ; Won Suk Yang ; Young Il Kim ; Sean Hay Kim ; Dong Hee Choi

Scales generated inside pipes cause negative effects on heat transfer performance, pressure loss and flow rate due to increased thermal resistance and reduced flow cross-sectional area. If these scales are not prevented or eliminated, thermal-fluid performance of the facilities can be deteriorated, or in extreme cases, accidents such as explosion due to overheating can occur. There are two ways to remove the scales, physically and chemically. Removing the scales physically needs specific machines which are expensive, and removing them chemically may provoke corrosion or shorten the age of the facilities. In this study, an eco-friendly pipe scale cleaner using natural organic acid is developed by applying the concept of a limestone cave generation. The manufactured scale cleaner is applied to remove the scales in industrial, water heating and urinal pipes. The results show that this cleaner removes scales more effectively and safely compared to existing scale treatments. Scale removal efficiencies of this work is 1.2~10.7 times for industrial pipes and 1.8~15.5 times for boiler water heating pipes higher than those of conventional cleaners.

http://dx.doi.org/10.6110/KJACR.2017.29.10.538

Gong Hee Lee ; Ae Ju Cheong

In a PWR (Pressurized Water Reactor), the appropriate heat removal from the surface of fuel rod bundle is important for ensuring thermal margins and safety. Although many CFD (Computational Fluid Dynamics) software have been used to predict complex flows inside fuel assemblies with mixing vanes, there is no domestic regulatory guideline for the comprehensive evaluation of CFD software. Therefore, from the nuclear regulatory perspective, it is necessary to perform the systematic assessment and prepare the domestic regulatory guideline for checking whether valid CFD software is used for nuclear safety problems. In this study, to provide systematic evaluation and guidance on the applicability of CFD software to the domestic nuclear safety area, the results of the sensitivity analysis for the effect of the discretization scheme accuracy for the convection terms and turbulence models, which are main factors that contribute to the uncertainty in the calculation of the nuclear safety problems, on the prediction performance for the turbulent flow distribution inside the fuel assembly with split-type mixing vanes were explained.

https://doi.org/10.6110/KJACR.2017.29.10.551

Hiki Hong ; Junyoung Choi ; Shin Young Im

Most European economies, Japan, and many governments have made it a major policy to expand the green business by disseminating heat pump technology, which has a large CO₂ reduction effect. The heat pump of all heat sources has been recognized as renewable energy and the policy to encourage has been implemented. In the recently revised Renewable Energy Law, the hydrothermal source (surface sea water) heat pump was newly included in renewable energy. In addition, the scope of application of heat pumps has expanded in the mandatory installation of renewable energy for new buildings, remodeling buildings, and reconstructed buildings based on this law. However application to heat pumps using all natural energy as heat source has been put off. In this revision, the ratio of renewable energy to the total energy produced by the heat pump was fixed at 73%, which depends on coefficient of performance of heat pump. The ratio of renewable energy is 1-1.8/COPH, and should be calculated including the coefficient of performance of the heat pump. Using a high efficiency heat pump or a high-temperature heat source increases the coefficient of performance and also reduces CO₂ emissions. It is necessary to expand the application of heat pumps as renewable energy equipment and to improve the correct calculation of renewable energy production.