In the present study, a calorimeter was used to experimentally investigate the heating capacity and COP changes according to the pipe length of a variable capacity A/C system with long pipes. Cooling capacity, COP, and compressor discharge temperature were obtained by changing pipe lengths and loading duties at fixed indoor and outdoor temperatures. And the operation status and cycle change process of the A/C system were investigated using some experimental data and P-h diagrams. As the pipe length changes, the heat transfer within the cycle and the operating load of the compressor change, so the heating capacity and COP of the system change. At the same loading duty, as the pipe length increases, the heating capacity and COP decrease. As the loading duty increased, the heating capacity increased almost linearly, but the COP decreased. Since the long pipe experimental value for the compressor discharge temperature has a temperature deviation of up to 1 7℃(50m, L/D : 10/10) from the correlation equation, the optimal correlation equation must be derived through additional research.

In this study, the heating performance of a variable capacity A/C system was experimentally studied. A psychrometric calorimeter was used to obtain performance data of the A/C system using PWM(pluse width modulation) method and compare it with the compressor discharge temperature correlation equation. Heating capacity, COP, and compressor discharge temperature were obtained by changing indoor and outdoor temperatures, refrigerant amount, and loading duty. The following results were obtained by selecting 5 types of refrigerant amount, 3 types of outdoor temperature (fixed indoor temperature), and 2 types of loading duty. As the outdoor temperature increases, heating capacity and COP increase. Heating capacity was affected by both outdoor temperature and loading duty. However, COP was more influenced by outdoor temperature. The effect of increasing the amount of refrigerant on the performance of the A/C system was not significant. Additionally, the temperature deviation between the existing compressor discharge temperature correlation equation and the heating experiment data was about 5.1℃ at the maximum loading duty.

특정작물의 연작재배가 만연한 국내 경작지 중, 특히 인삼재배지는 인삼뿌리썩음병균, 시설재배지는 선충에 의한 연작피해가 매우 심각하며, 주로 화학·생물학 약제로 방제하지만 효과가 낮고 토양오염과 약제저항성 등의 부작용을 유발하고 있음. 모든 살아 있는 병해충은 고온에 저항성이 없는 장점에 착안하여 마이크로파(915MHz) 전력밀도 균일화 응용으로 경작지 토양 30cm 이상 깊이까지 100℃ 이상 침투 가열하는 마이크로파 방제장치 및 방제기술을 개발하여 토양 속에 존재하는 선충, 개미, 인삼뿌리썩음병균에 적용한 결과, 선충은 60℃, 개미는 50℃에서 완전사멸 되었으며, 인삼뿌리썩음병균은 80℃에서 연작 가능한 수치까지 떨어지는 방제 효과를 나타 냄에 따라 농약을 대체하는 방제기술로 평가된다.

Korea's facility horticultural heating costs account for a high proportion. Therefore, it is the most important factor to consider in greenhouse construction. It is important to assess the heating load of greenhouses. But there is not much data from the weather station. This study determined the heating load for each segmented area using the spatial correction method. The heating degeneration calculated from standard weather data (AHDH and BHDH) and total weather data (CHDH and DHDH) is consistent. However, there was a big difference between AHDH and DHDH. Therefore, the updated heating load data for each region is needed. Each of the four types of set temperatures (8℃, 12℃, 16℃, 20℃) was provided, and the heating temperature setpoint (℃) for each region of 168 cities and counties was presented. As a result of the analysis, the reliability of about 99% was confirmed in most of the regions suggested in this study. By using the calculated heating load for each region, it is possible to predict and utilize energy consumption and management costs.

PURPOSES : In this study, heating concrete is developed using heating artificial binder, which is more conductive and less expensive than ordinary Portland cement, and the heating effect is verified through laboratory tests and numerical analysis. METHODS : Based on the test results, the range of heat influence of the Heating concrete is calculated through numerical analysis. As a result of the laboratory test, the temperature rises to 58℃ after 10 minutes when heat generation started at the outdoor temperature of 12℃ and the initial temperature of the concrete specimen of 19.1℃. RESULTS : The heating effect is up to 50 cm in width and 90 cm in height centered on the heating concrete through numerical analysis to analyze the influence range of the Heating concrete based on the laboratory test results. However, when the distance from the heating concrete is greater than about 20 cm, the influence becomes very small, and the rate of temperature decrease drops significantly. CONCLUSIONS : From the test and numerical analysis, it can be used as an eco-friendly heating material suitable for concrete pavements.

In the nuclear fuel cycle (NFC) facilities, the failure of Heating Ventilation and Air Conditioning (HVAC) system starts with minor component failures and can escalate to affecting the entire system, ultimately resulting in radiological consequences to workers. In the field of air-conditioning and refrigerating engineering, the fault detection and diagnosis (FDD) of HVAC systems have been studied since faults occurring in improper routine operations and poor preventive maintenance of HVAC systems result in excessive energy consumption. This paper aims to provide a systematic review of existing FDD methods for HVAC systems therefore explore its potential application in nuclear field. For this goal, typical faults and FDD methods are investigated. The commonly occurring faults of HVAC are identified through various literature including publications from International Energy Agency (IEA) and American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). However, most literature does not explicitly addresses anomalies related to pressure, even though in nuclear facilities, abnormal pressure condition need to be carefully managed, particularly for maintaining radiological contamination differently within each zone. To build simulation model for FDD, the whole-building energy system modeling is needed because HVAC systems are major contributors to the whole building’s energy and thermal comfort, keeping the desired environment for occupants and other purposes. The whole-building energy modeling can be grouped into three categories: physics-based modeling (i.e., white-box models), hybrid modeling (i.e., grey-box models), and data-driven modeling (i.e., black-box models). To create a white-box FDD model, specialized tools such as EnergyPlus for modeling can be used. The EnergyPlus is open source program developed by US-DOE, and features heat balance calculation, enabling the dynamic simulation in transient state by heat balance calculation. The physics based modeling has the advantage of explaining clear cause-and-effect relationships between inputs and outputs based on heat and mass transfer equations, while creating accurate models requires time and effort. Creating a black-box FDD model requires a sufficient quantity and diverse types of operational data for machine learning. Since operation data for HVAC systems in existing nuclear cycle facilities are not fully available, so efforts to establish a monitoring system enabling the collection, storage, and management of sensor data indicating the status of HVAC systems and buildings should be prioritized. Once operational data are available, well-known machine learning methods such as linear regression, support vector machines, random forests, artificial neural networks, and recurrent neural networks (RNNs) can be used to classify and diagnose failures. The challenge with black-box models is the lack of access to failure data from operating facilities. To address this, one can consider developing black-box models using reference failure data provided by IEA or ASHRAE. Given the unavailability of operation data from the operating NFC facilities, there is a need for a short to medium-term plan for the development of a physics-based FDD model. Additionally, the development of a monitoring system to gather useful operation data is essential, which could serve both as a means to validate the physics-based model and as a potential foundation for building data-driven model in the long term.

Decommissioning waste is generated with various types and large quantities within a short period. Concrete, a significant building material for nuclear facilities, is one of the largest decommissioning wastes, which is mixed with aggregate, sand, and cement with water by the relevant mixing ratio. Recently, the proposed treatment method for volume reduction of radioactive concrete waste was proven up to scale-up testing using unit equipment, which involved sequentially thermomechanical and chemical treatment. According to studies, the aggregate as non-radioactive material is separated from cement components with contaminated radionuclides as less than clearance criteria, so the volume of radioactive concrete waste is decreased effectively. However, some supplementation points were presented to commercialize the process. Hence, the process requires efficiency as possible to minimize the interface parts, either by integration or rearranging the equipment. In this study, feasibility testing was performed using integrated heating and grinding equipment, to supplement the possible issue of generated powder and dust during the process. Previously, heat treatment and grinding devices were configured separately for pilot-scale testing. But some problems such as leakage and pipe blockage occurred during the transportation of generated fine powder, which caused difficulties in maintaining the equipment. For that reason, we studied to reduce the interface between the equipment by integrating and rearranging the equipment. To evaluate the thermal grinding performance, the fraction of coarse and concrete fines based on 1mm particle size was measured, and the amount of residual cement in each part was analyzed by wet analysis using 4M hydrochloric acid. The result was compared with previous studies and the thermomechanical equipment could be selected to enhance the process. Therefore, it is expected that the equipment for commercialization could be optimized and composed the process compactly by this study.

In this study, the effect of crown heating on the cultivation environment, budding, flowering and yields of strawberry was analyzed. In December, January, and February, when the outside temperature was low, the average strawberry crown temperature at daytime in the test zone was 1.3°C higher than that in the control zone, and the average strawberry crown temperature at nighttime in the test zone was 2.7°C higher than that in the control zone. The average bed temperature at daytime in test zone was 1.7°C higher than that in the control zone, and the average bed temperature at nighttime in test zone was 2.4°C higher than that in the control zone. As a result of performing correlation analysis and regression analysis on strawberry crown temperature and budding period, the correlation coefficient was -0.86, which tended to be shorter as the crown temperature was higher, and the determination coefficient was 0.74. The total yields of strawberry during test period were 392.6 g/plant for test greenhouse and 346.0 g/plant for control greenhouse respectively. As for the quality of strawberries, the ratio of 2L (very large) grades and L (large) grades was 62.4% in the test greenhouse and 58.5% in the control greenhouse, indicating that the proportion of high quality strawberries was higher in the test greenhouse.

In this study, a smart bench was developed and researched smart benches that can contribute to user convenience and satisfaction by installing them in parks, bus stops, and tourist attractions in line with the rapidly changing construction of smart cities. The smart bench is automatically operated by the control system according to the external temperature and provides additional functions such as charging, lighting, and advertising to improve general bench functions as well as heating in winter and cooling in summer, making it suitable for smart urbanization. The developed smart bench is designed to be strong enough to withstand loads of about 2,500 N. It minimizes the visible parts such as assembled bolts and 220V power supply wires, It can also give aesthetic effects. The development was carried out with the aim of waterproofing and dustproofing of IP44 grade in accordance with the climate of Republic of Korea, which has four seasons, and it is advantageous for long-term use because the paint was selected for the weather ability (discoloration) grade 3 or higher. If smart bench is commercialized, it is believed that various options can be provided to the smart bench market, where buyers had few product options, as the parts were developed in an assembled type so that all functions can be responded in an optional form according to the installation environment and the buyer's budget.

본 연구는 등유를 사용하는 농업용 난방기에서 배출되는 가 스를 포집하고, 농업용 난방기의 사용 연식에 따른 이산화탄 소의 배출농도를 파악하고자 수행되었다. 선형 회귀분석의 결과로 농업용 난방기의 연식에 따른 이산화탄소의 배출량은 R2 = 0.84로 y = 26.99x+721.98의 식을 따른다고 나타났다. 농업용 난방기의 사용 연식에 따라 세 그룹으로 분류하여 분 산분석을 수행하였다. 분산분석을 수행한 결과, 분석을 위해 설정한 유의확률 0.05보다 작은 2.1961×10-13으로 나타났으 며 이는 적어도 한 그룹에서 차이가 나타난다는 것을 의미한 다. 본 연구에서는 농업용 난방기의 기본적인 배출농도의 차 이를 분석하고자 기기의 제작사와 상관없이 농업용 난방기의 기기 연식만을 고려하여 배출가스 데이터를 수집하였다. 기 기의 연소 방식에는 제작사에 따라 연소 방식에 차이가 미미 하게 있었을 것으로 판단되며 데이터 변수의 개수가 늘어난다 면, SVR(support vector regression) 기반의 선형회귀 분석 등 을 실시하여 농업용 난방기의 이산화탄소 데이터가 온실가스 발생량 파악에 더욱 활용도가 높아질 것으로 판단된다. 추후 연구에서는 더욱 세분화된 데이터의 수집 방식을 따라 더욱 높은 정확도를 가진 결과값을 도출할 수 있다고 판단된다. 이 처럼 우리나라의 농업 분야에서 용도별 온실가스 발생량을 조 사하기 위하여 고정형 농기계인 농업용 난방기의 이산화탄소 발생량을 정확히 파악하여 온실가스 배출량 조사에 활용할 수 있을 것으로 판단된다.