• Title/Summary/Keyword: heating load

Search Result 892, Processing Time 0.025 seconds

Active Solar Heating System Design and Analysis for the Zero Energy Solar House (제로에너지 솔라하우스의 난방/급탕용 태양열 시스템 설계 및 분석)

  • Baek, N.C.;Yoo, C.K.;Yoon, E.S.;Yoo, J.Y.;Yoon, J.H.
    • Journal of the Korean Solar Energy Society
    • /
    • v.22 no.4
    • /
    • pp.1-9
    • /
    • 2002
  • This study is on the design and evaluation of Zero Energy Solar House(ZeSH) including active solar heating system. Various innovative technologies such as super insulation, passive solar systems, super window, ventilation heat recovery system...etc were analyzed by individual and combination for the success of ZeSH. The ESP-r simulation program was used for this. Simulation results shows that almost 77% of heating load can be reduced with the following configuration of 200mm super insulation, super windows, passive solar system and 0.3 ventilation rate per hour. Active solar heating system (ASHS) was designed for the rest of the heating load including hot water heating load. The solar assisted heat pump is used for the auxiliary heating device in order to use air conditioner but not included in this study. The yearly solar fraction is 87% with a solar collector area of $28m^2$. The parametric studies as the influence of storage volume and collector area on the solar fraction was analyzed.

Prediction of Heating Load for Optimum Heat Supply in Apartment Building (공동주택의 최적 열공급을 위한 난방부하 예측에 관한 연구)

  • Yoo, Seong-Yeon;Kim, Tae-Ho;Han, Kyou-Hyun;Yoon, Hong-Ik;Kang, Hyung-Chul;Kim, Kyung-Ho
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.36 no.8
    • /
    • pp.803-809
    • /
    • 2012
  • It is necessary to predict the heating load in order to determine the optimal scheduling control of district heating systems. Heating loads are affected by many complex parameters, and therefore, it is necessary to develop an efficient, flexible, and easy to use prediction method for the heating load. In this study, simple specifications included in a building design document and the estimated temperature and humidity are used to predict the heating load on the next day. To validate the performance of the proposed method, heating load data measured from a benchmark district heating system are compared with the predicted results. The predicted outdoor temperature and humidity show a variation trend that agrees with the measured data. The predicted heating loads show good agreement with the measured hourly, daily, and monthly loads. During the heating period, the monthly load error was estimated to be 4.68%.

Analyses of Energy Savings and Night Heating Performance of a Movable Thermal Insulation Shuttered Window (단열셔터를 적용한 구동창호의 에너지 절감 및 야간 난방성능 분석)

  • Lee, Jang-Man;Cho, Soo;Lim, Sang-Hoon;Song, Kyoo-Dong
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
    • /
    • v.25 no.3
    • /
    • pp.150-155
    • /
    • 2013
  • Usually, a window tends to have a lower thermal performance, than that of an ordinary wall. This study analyzes the enhancement of thermal performance of a window, when a Thermal Insulation Shutter is installed. The analyses were conducted at the laboratory, and with a full-scale mockup house, and the U-factor and heating load were examined. The laboratory results show that the U-factor increased by approximately 28%, when a Thermal Insulation Shutter was installed. The temperature difference was about $5^{\circ}C$, and this shows that the Thermal Insulation Shutter enhances the thermal performance of the window, when installed. The mockup house was used to calculate the heating load; the heating load was reduced by more than 41%, and shows that the installation of a Thermal Insulation Shutter is an effective way to reduce heating energy consumption.

Prediction of Heating Energy Saving Rate on the Window Type-Focus on the Apartment House (창호 구성 요소에 따른 난방에너지 절감율 예측에 관한 연구-공동주택을 중심으로)

  • Kim, Kyung-Ah;Moon, Hyeun-Jun;Yu, Ki-Hyung
    • Journal of the Korean Solar Energy Society
    • /
    • v.33 no.6
    • /
    • pp.54-61
    • /
    • 2013
  • This is study on the glazing performance of the apartment house to predict energy saving rate when the early design stage by calculating heating load. there are various factors of the window type in apartment building to save energy such as window's U-value, SC or SHGC, window wall ration, frame factor, sunshade coefficient and so on. In this study, we analyzed the heating load focused on the U-value, SC and window wall ration using variable heating degree days method for a small and middle size units $59m^2$, $84m^2$, respectively. Each cases were calculated heating load of the real models compared to standard model to predict energy saving rate. From those cases it was drew the conclusion that were window's U-value, SC and window wall ration for the small and middle size units to expect 10% energy saving rate at least.

The Analysis of Inverter Circuit with Induction Heating Load (유도가열 부하를 갖는 인버터 회로의 해석에 관한 연구)

  • Roh, H.S.;Kwon, K.A.;Yang, W.J.
    • Proceedings of the KIEE Conference
    • /
    • 1995.07a
    • /
    • pp.424-427
    • /
    • 1995
  • This paper proposes an analysis of an inverter circuit which has an induction heating load. Two major kinds of the inverters are E-class quasi resonant and half-bridge type. The analyses of induction heating load property and operation property are introduced. A simulation program which implements those properties is also introduced. The results of the simulation program are verified through experimental results.

  • PDF

Optimal Heating Load Identification using a DRNN (DRNN을 이용한 최적 난방부하 식별)

  • Chung, Kee-Chull;Yang, Hai-Won
    • The Transactions of the Korean Institute of Electrical Engineers A
    • /
    • v.48 no.10
    • /
    • pp.1231-1238
    • /
    • 1999
  • This paper presents an approach for the optimal heating load Identification using Diagonal Recurrent Neural Networks(DRNN). In this paper, the DRNN captures the dynamic nature of a system and since it is not fully connected, training is much faster than a fully connected recurrent neural network. The architecture of DRNN is a modified model of the fully connected recurrent neural network with one hidden layer. The hidden layer is comprised of self-recurrent neurons, each feeding its output only into itself. In this study, A dynamic backpropagation (DBP) with delta-bar-delta learning method is used to train an optimal heating load identifier. Delta-bar-delta learning method is an empirical method to adapt the learning rate gradually during the training period in order to improve accuracy in a short time. The simulation results based on experimental data show that the proposed model is superior to the other methods in most cases, in regard of not only learning speed but also identification accuracy.

  • PDF

A study about caculating the heating load of the wall of underground space to be used undereground temperature (지중온도를 이용한 지하공간 벽체의 난방부하 계산에 관한 연구)

  • Jeong, Soo-Ill
    • Journal of the Korean Solar Energy Society
    • /
    • v.28 no.1
    • /
    • pp.19-24
    • /
    • 2008
  • The energy crisis is culminating for the life of the fossil fuel in the future which is come to end at $30{\sim}40$ years. Moreover above 90% of the energy in our country depend on importing and the crisis is more seγious than it of other countries. So architects devote low energy house research and it means underground space research have become public opinion. But there is not an accurate and utility method calculating the heating load of underground space. In this study it is proposed that the heating load is calculated by setting adiabatic thichness of soil and predicting underground temperature. The prediction of the underground temperature is calculated by the latitude, the level, the distance from sea, the condition of earth surface.

Design of High Frequency Inverter with Series-parallel Load-Resonant for Induction Heating application (유도가열기용 직.병렬 공진 고주파 인버터의 설계)

  • 홍순일;손의식
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.14 no.6
    • /
    • pp.12-17
    • /
    • 2000
  • IN induction heating system the high frequency operation allows a rapid response to current fluctuation in the inverter and result in improved welding quality. To work induction heating of nonferrous metals, a welding power supply is need high working frequency and high power. This paper is shown design technique for increasing working frequency in induction heating for welding coppers. A series-parallel resonate inverter consists of H-type bridges, each of whose arms is composed of a combination of two parallel IGBTs. Inverter operating with the fixed frequency is controlled by pulse width modulation (PWM). As switching adapted the Zero-Voltage Switching technique to reduce switching losses the system is high efficiency. The propose inverter has feature which is high efficiency for very wide load variations with a narrow range of duty cycle ratio control and load short circuit capability. Detailed experimental results obtained from a 48[V] output, 500[W] experimental inverter are presented to verify the concept.

  • PDF

An Analysis of Thermal Loads Depending on Korea Building Insulation Standard and the Optimum Insulation Standard (국내 건물 단열기준에 따른 냉.난방 부하 분석 및 최적 단열기준에 관한 고찰)

  • Seo, Sung-Mo;Park, Jin-Chul;Rhee, Eun-Ku
    • Journal of the Korean Solar Energy Society
    • /
    • v.31 no.5
    • /
    • pp.146-155
    • /
    • 2011
  • Sustainable building is getting more and more important topic in 21C. Following this trend, building energy saving standard has been reinforced in Korea. Especially, insulation standards are revised continuously after1979. This study aims to evaluate the correlation between the revised insulation standards and heating and cooling loads of a residential building. This study shows that the standard of insulation is more related with heating load than cooling load, and cooling load is more related with other sources such as glass types and solar incidence through windows. In case of highly-insulated building such Passive Houses or Zero Energy Houses, the cooling load should also be considered as important as heating load when revising the building energy saving regulations in the future.

Simulation and Verification Experiment of Cooling and Heating Load for a Test Space with Forced Ventilation (강제환기가 적용된 시험공간에서 냉난방부하의 시뮬레이션 및 실증실험)

  • Kim, Dong-Hyuk;Hong, Hi-Ki;Yoo, Ho-Seon;Kim, Ook-Joong
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
    • /
    • v.18 no.12
    • /
    • pp.947-954
    • /
    • 2006
  • Building energy consumption according to the ventilation has been considered to be an important subject. The purpose of this study is to investigate the cooling and heating loads in a test space with a forced ventilating system. In the test space, on/off controlled air-conditioning and forced ventilating facility were operated between 8 : 30 to 21 : 00 during 4 days and some important data like temperatures and energy consumption were measured to obtain actual thermal loads. The simulation was carried out in a mode of temperature level control using a TRNSYS 15.3 with a precisely measured air change amount and performance data of air-conditioner. Heating load and cooling load including sensible and latent were compared between by experiment and by simulation. Both of thermal loads associated with ventilation show a close agreement within an engineering tolerance.