• Journal of the Korean Solar Energy Society
• /
• v.25 no.4
• /
• pp.119-123
• /
• 2005

The main purpose of this study is to define an optimum slope of the roof that demands minimum cooling load of the building, when the roof is affected by the solar and wind energy. Two different roof shapes were chosen: hip, gabled. The cooling load of building having those roof shapes was calculated through the computer simulation, using DOE program. For the simulation, the angle of the roof and angle of the orientation was changed. In the conclusion of this paper, an optimum slope of the roof which causes minimize cooling load is presented according to the roof shape and orientation. The result of this study could provide a practical design guideline for determining the roof angle for various climatic conditions.

• The Journal of Bigdata
• /
• v.9 no.1
• /
• pp.153-168
• /
• 2024

In summer, as chillers are considered the main energy consumer of building, the efficient chiller operation is considered important. However, it is difficult to operate chillers to meet the cooling demand of the building as the demand fluctuates with various factors like the internal, external environment and behavior of the occupants and as chiller's constraint cause the current operation constrains operation in future. To address these problems, this study proposes a multi-chiller operation model based on deep reinforcement learning considering the minimum up-time of the chiller. The proposed model learns the value of the chiller operations according to the state composed of metrological and cooling system information and determines operation that minimizes the difference between the supply load and the cooling demand among feasible operations. The practical applicability was improved by applying the training algorithm considering the minimum up-time constraint and Experiments results using the actual data from a Korean university confirmed that the proposed model complies with the chiller constraints and outperforms the existing chiller operation logic of the university in terms of differences from the building cooling demand.

• 한국신재생에너지학회:학술대회논문집
• /
• 2011.05a
• /
• pp.193-193
• /
• 2011

현재까지 대부분의 지열원 열펌프 시스템에 관한 연구는 열펌프 유닛과 지중열교환기에 대해 개별적으로 수행되었으며, 열펌프 유닛과 지중열교환기 설계 및 최적화의 공통변수인 지중순환수 유량에 따른 시스템 전체에 대한 연구성과는 매우 미미한 실정이다. 본 연구에서는 현재 국내에서 인증되어 보급되고 있는 물매물 지열원 열펌프 유닛의 성능 자료를 분석하고, 지중순환수 유량 변화에 따른 물대물 열펌프 유닛의 성능 실험 및 지중열교환기 형상에 관한 설계 및 분석을 수행하여 지열원 열펌프 시스템 최적화에 관한 기반 기술 확보하고자 하였다. 현재 국내의 물대물 지열원 열펌프 유닛의 냉방 및 난방 조건에서의 최소 인증 COP는 각각 4.1과 3.45이다. 다양한 용량 및 성능을 갖는 국내 인증 물대물 지열원 열펌프 유닛에 대한 정량적 성능 분석을 위하여 3.5kW(1RT) 용량당의 지중순환수 유량과 COP를 고찰하였다. 냉방운전시 3.5kW 단위 용량당 열펌프 유닛의 지중순환수 유량은 10.73에서 18.52LPM을 나타냈으며, 난방운전에는 10.41에서 18.16LPM을 나타냈다. 이때, 냉방 COP는 4.1에서 5.4의 값을 나타냈으며, 난방 COP는 각각 3.5에서 4.2를 나타냈다. 인증 열펌프 유닛에서 지중순환수 유량과 열펌프 유닛의 냉난방 성능은 일정한 경향성을 나타내지 않았다. 지중순환수 유량에 따른 지열원 열펌프 유닛과 시스템의 성능을 정량적으로 분석하고자 지중순환수 유량 변화에 따른 물대물 지열원 열펌프 유닛 성능 실험을 수행하고 이를 기반으로 지중열교환기를 설계 및 분석하였다. 냉난방 각 운전모드에서 ISO 13256-2 규격과 NRGT 101 규격을 기준으로 지중순환수와 부하측 유량 6LPM 에서 36LPM 사이에서 변화시키며 성능 실험을 수행하였다. 냉방 및 난방모드 모두 유량이 증가함에 따라 열펌프 유닛 COP가 증가하였으나, 유량 증가에 따른 열펌프 유닛 COP 증가율은 감소하였다. 지중순환수 유량이 18LPM 이상에서는 COP 상승폭은 미소하였다. 기존문헌의 부하 산정자료와 열펌프 유닛 실험 성능 데이터를 이용하여 지식경제부 고시 2009-332호에 준하여 수직밀폐형 지중열교환기를 설계하고 순환펌프 소요동력을 이용하여 시스템 COP를 분석하였다. 지중열교환기 설계 시 국내에서 가장 많이 사용되고 있는 상용지중열교환기 설계프로그램인 GLD 프로그램을 사용하였다. 지중순환수와 부하측 2차 유체 유량 증가 시에 열펌프 유닛 COP 증가율 대비 시스템 COP 증가율은 감소하였으며, 난방모드에서는 일정 유량 이상에서는 열펌프 유닛 COP는 증가하였으나, 시스템 COP는 감소하였다. 또한, 지중순환수 유량 증가에 따라 지중열교환기 길이가 증가하였으며, 냉난방시의 지중열교환기 길이차이가 증가하였다. 지열원 열펌프 시스템의 고효율화 및 시공비 절감을 통한 경제성 확보를 위해서는 지열원 열펌프 유닛 성능과 지중열교환기 형상 공통 변수인 지중순환수 유량을 함께 고려하여 시스템을 설계하여야한다.

• Environmental and Resource Economics Review
• /
• v.16 no.4
• /
• pp.803-832
• /
• 2007

Electricity and heat load profiles by use types on an hourly basis at the least are essential for assessing economic viability of new cogeneration and CES projects and for optimally operating existing cogeneration and CES facilities. We adopt a multilevel model to specify heat load profiles so as to utilize in a flexible manner the panel nature of our data on weather and heating/cooling use. Converting the multilevel model to the linear mixed-effects model, we estimate the model by panel FGLS. The estimated load profile model for each distinct use type accounts for the effects of temperature, humidity, each hour over the year, each day of the week, each type of legal holidays, and heating/cooling area on energy use. To save space, we feature in detail the heating profile of the household.

• Journal of Bio-Environment Control
• /
• v.25 no.4
• /
• pp.308-319
• /
• 2016

In order to set the outdoor weather conditions to be applied to the design standard of the greenhouse heating and cooling system, outdoor air temperature and heating degree-hour for heating design, dry bulb temperature, wet bulb temperature and solar irradiance for cooling design were analyzed and presented. For every region in Korea, we used thirty years from 1981 to 2010 hourly weather data for analysis, which is the current standard of climatological normal provided by KMA. Since the use of standard weather data is limited, design weather conditions were obtained using the entire weather data for 30 years, and the average value of the entire data period was presented as a design standard. The design weather data with exceedance probability of 1, 2.5, and 5% were analyzed by the TAC method, and we presented the distribution map with exceedance probability of 1% for heating and 2.5% for cooling which are recommended by design standards. The changes of maximum heating load, seasonal heating load and maximum cooling load were examined by regions, exceedance probabilities, and setpoint temperatures. The proposed outdoor design conditions can be used not only directly for the greenhouse heating and cooling design, but also for the reinforcement of heating and cooling facilities and the establishment of energy saving measures. Recently, due to the climate change, sweltering heat in summer and abnormal temperature in winter are occurring frequently, so we need to analyze weather data periodically and revise the design standard at least every 10 years cycle.

• Journal of Bio-Environment Control
• /
• v.32 no.3
• /
• pp.197-204
• /
• 2023

Heat stress causes a decrease in immunity and disease occurrence in livestock, increasing mortality and impairing productivity. In particular, chickens are very vulnerable to high temperatures compared to other livestock species because their entire body is covered with feathers and sweat glands are not developed. Currently, air conditioning systems are essential in broiler houses to prevent high-air temperature damage to broilers, but conventional cooling facilities are greatly affected by the external environment, so there are limits to their use. In this study, to propose a cooling method, thermal insulation paint and a heat pump were apply in the broiler houses to evaluate the temperature reduction effect. The heat pump experiment was to analyze the cooling effect according to the change in ventilation rate and propose an appropriate. As a result of the experiment, the heat-insulating paint reduced the temperature of the broiler houses by maximum 1-2℃, and in the broiler houses where the heat pump was operated, the temperature decrease was the largest when the ventilation rate was the lowest. When the air temperature in the house is similar to or lower than the outside air temperature, it is considered to be most effective to use a heat pump while maintaining only the minimum ventilation rate.