scholarly journals (8) PERIODIC VARIATION OF OUTDOOR TEMPERATURE AND SOLAR RADIATION : Cooling Load, IV

1957 ◽  
Vol 56 (0) ◽  
pp. 57-63
Author(s):  
Takashi Hirayama ◽  
Heizo Saito ◽  
Koyo Maekawa
Keyword(s):  
Solar Radiation ◽  
Periodic Variation ◽  
Cooling Load ◽  
Outdoor Temperature ◽  
Radiation Cooling

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 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 Dry Tropical Nights and Wet Extreme Heat in Beijing: Atypical Configurations between High Temperature and Humidity

2014 ◽  
Vol 142 (5) ◽  
pp. 1792-1802 ◽  
Author(s):  
Ruidan Chen ◽  
Riyu Lu
Keyword(s):  
High Temperature ◽  
Solar Radiation ◽  
Large Scale ◽  
Longwave Radiation ◽  
Meteorological Conditions ◽  
Extreme Heat ◽  
Specific Humidity ◽  
Maximum Temperature ◽  
Dry Air ◽  
Radiation Cooling

Abstract Generally, tropical nights [TN; minimum temperature (Tmin) ≥25°C] occur under wet air conditions, while extreme heat [EH; maximum temperature (Tmax) ≥35°C] occurs under dry air conditions. This can be explained by higher humidity favoring TN through reducing longwave radiation cooling, and lower humidity favoring EH through enhancing solar radiation at the surface. The present study focuses on the atypical phenomena of dry TN (30% of all TN days) and wet EH (20% of all EH days) in Beijing during July and August, 1979–2008. It was found that meteorological conditions, including large-scale circulations and specific humidity, exhibit a resemblance between typical (wet TN and dry EH) and atypical (dry TN and wet EH) cases. That is, the meteorological anomalies for dry TN are similar to those for dry EH, and the anomalies for wet EH are similar to those for wet TN. For instance, descending anomalies, which lead to lower humidity and are thus associated with dry EH, appear for more than 70% of dry TN cases. In addition, the persistence of high temperature from day to night, and from night to day, also contribute significantly to dry TN and wet EH, respectively. About 50% of dry TN days and about 70% of wet EH days are preceded by EH and TN, respectively. It can be concluded from these results that both meteorological conditions and temperature persistence contribute greatly to dry TN and wet EH.

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.

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