scholarly journals 12) ON THE PERIODIC VARIATION OF OUTDOOR TEMPERATURE AND SOLAR RADIATION : Part I: For Cooling Load

1956 ◽  
Vol 53 (0) ◽  
pp. 74-79
Author(s):  
Takashi Hirayama ◽  
Heizo Saito ◽  
Koyo Maekawa
Keyword(s):  
Solar Radiation ◽  
Periodic Variation ◽  
Cooling Load ◽  
Outdoor Temperature

scholarly journals Using a Shading Tool to Reform Window designing due to Solar Radiation

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Bahar Sultan Qurraie ◽  
Figen Beyhan
Keyword(s):  
Solar Radiation ◽  
Architectural Design ◽  
Essential Element ◽  
Cooling Load ◽  
The Sun ◽  
Climate Data ◽  
Incident Solar Radiation ◽  
Matlab Program ◽  
Other Information ◽  
Structure Orientation

Sun is the significant criterion that plays the most important role in architectural design. The sun's heat and radiation interact with the designed components of form and façade. These shading elements exhibit different expressions according to the structure orientation and the sun position. According to the climate of structure’s location, the expressions are being used to better respond to the environment in sustainable architecture. In order to get to this point, it is very important to calculate the shading geometry and solar energy during the day and to provide more suitable systems in glass and window designing.  According to this, in order to arrive at more suitable shading systems by supporting MATLAB program, the software is written by taking the previous works as basis and closing some of their mistakes. According to the climate data, this program takes the plan drawings of window’s zone and some other information of window, the annual shading simulations are presented.  Due to these simulations incident solar radiation of window, essential element of cooling load increasing in summer calculated. Furthermore window designing will be occurred by these simulations. So for the future works the user can import the glass or other datum of window or shading monument to design more efficiency.

A test development of a data driven model to simulate chlorophyll data at Tongyeong bay in Korea

2020 ◽  
Author(s):  
Sung Dae Kim ◽  
Sang Hwa Choi
Keyword(s):  
Solar Radiation ◽  
Periodic Variation ◽  
Training Data ◽  
Training Dataset ◽  
Sequence Length ◽  
Observation Data ◽  
The Public ◽  
Ocean Science ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Hidden Layer

<p>A pilot machine learning(ML) program was developed to test ML technique for simulation of biochemical parameters at the coastal area in Korea. Temperature, chlorophyll, solar radiation, daylight time, humidity, nutrient data were collected as training dataset from the public domain and in-house projects of KIOST(Korea Institute of Ocean Science & Technology). Daily satellite chlorophyll data of MODIS(Moderate Resolution Imaging Spectroradiometer) and GOCI(Geostationary Ocean Color Imager) were retrieved from the public services. Daily SST(Sea Surface Temperature) data and ECMWF solar radiation data were retrieved from GHRSST service and Copernicus service. Meteorological observation data and marine observation data were collected from KMA (Korea Meteorological Agency) and KIOST. The output of marine biochemical numerical model of KIOST were also prepared to validate ML model. ML program was configured using LSTM network and TensorFlow. During the data processing process, some chlorophyll data were interpolated because there were many missing data exist in satellite dataset. ML training were conducted repeatedly under varying combinations of sequence length, learning rate, number of hidden layer and iterations. The 75% of training dataset were used for training and 25% were used for prediction. The maximum correlation between training data and predicted data was 0.995 in case that model output data were used as training dataset. When satellite data and observation data were used, correlations were around 0.55. Though the latter corelation is relatively low, the model simulated periodic variation well and some differences were found at peak values. It is thought that ML model can be applied for simulation of chlorophyll data if preparation of sufficient reliable observation data were possible.</p>

scholarly journals A study of the skylight coverage ratio for air-conditioned atriumsin the hot and humid regions

2021 ◽  
Author(s):  
Siwei Lou ◽  
Yu Huang ◽  
Dawei Xia ◽  
Isaac Y F Lun ◽  
Danny H W Li
Keyword(s):  
Solar Radiation ◽  
Energy Performance ◽  
Cooling Load ◽  
Total Energy Consumption ◽  
Coverage Area ◽  
Solar Heat ◽  
Coverage Ratio ◽  
Lighting Control ◽  
Hot And Humid Climates ◽  
Daylight Performance

Abstract The skylight on the roof of an atrium can be popular for commercial malls to illuminate the core area of the building. However, the solar radiation and its heat can get into the building together with the daylight, causing excessive cooling load. This paper studies the daylighting and energy performances of skylight coverage area for the air-conditioned atriums in the hot and humid regions. The energy performance with different atrium heights, glass types and the coverage ratios of the skylight are studied. The daylight performance was simulated by the ray-tracing Radiance and was transferred into EnergyPlus for energy evaluations. The finding suggested that, for hot and humid climates, the skylight coverage ratio should be controlled carefully to prevent the excessive solar heat gain. When the on/off lighting control is applied, the total energy consumption of the single-floor cases (or of the top floor for the multi-floor cases) leveled off when the coverage ratio of the skylight reached 9%. Thus, the skylight is favorable to the energy saving of the low-rise or single-floor commercial buildings only under the current assumptions, as the ground of the atrium cannot be well illuminated while the excessive solar radiation gets into the building. The skylight should be shaded in cooling seasons to prevent the excessive solar heat gains.

scholarly journals PERIODIC VARIATIONS OF OUTDOOR TEMPERATURE AND SOLAL RADIATION : Cooling Load III

1957 ◽  
Vol 55 (0) ◽  
pp. 77-83
Author(s):  
Takashi Hirayama ◽  
Heizo Saito ◽  
Koyo Maekawa
Keyword(s):  
Cooling Load ◽  
Outdoor Temperature ◽  
Radiation Cooling

scholarly journals Experimental Validation of EnergyPlus® Simulation of a Single Storey Building

2011 ◽  
Vol 2 (1) ◽  
pp. 12-17 ◽  
Author(s):  
Azhaili Baharun ◽  
Siti Halipah Ibrahim ◽  
Mohammad Omar Abdullah ◽  
Ooi Koon Beng
Keyword(s):  
Solar Radiation ◽  
Air Temperature ◽  
Indoor Air ◽  
Experimental Validation ◽  
Global Solar Radiation ◽  
Outdoor Temperature ◽  
Night Time ◽  
The Heat Balance ◽  
Red Radiation ◽  
Storey Building

EnergyPlus® simulated indoor temperatures of a single storey building at the east campus of Universiti Malaysia Sarawak, for April and June, are validated with measurements taken in 2007.The measured local outdoor temperature was used together with the global solar radiation, wind velocity, relative humidity and cloud cover measured at the Kuching airport to replace the typical meteorological year (TMY) values in the EnergyPlus® weather (EPW) file to fonn a Modified EPW weather file at the time/date of experiments. The remaining fields of the Modified EPW contain TMY data including the direct and diffuse solar radiations and the 'sky's' infrared radiation, which is also present at night.Analysis of the temperatures at the windows simulated with the EPW and Modified EPW weather files for the April and June experiments show the strong influence of the outdoor temperature and importance of the global solar radiation in the weather file and local outdoor temperature is used in the Modified EPW.Day time peak mismatches between the measured indoor air temperature and the indoor air temperature simulated with the Modified EPW is 2 to 3 deg C. These are due to the use of the TMY direct and diffuse solar radiations in the heat balance algorithms at the outside surfaces. The corresponding night time mismatches are less than 1 deg C because the TMY values of the long wave infra-red radiation emitted from molecules and particles in the atmosphere in the Modified EPW are used in simulation.

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