SOLAR INSOLATION CALCULATION PROGRAM IN MATLAB / SIMULINK ENVIRONMENT

The article describes the mathematical calculation of the inflow of solar insolation, the device and operation of the insolation calculation program, graphs showing the change in radiation from the influence of weather factors, the location of the installation of solar receivers are ob-tained

Estimation of the influence of hydraulic balancing of the heating system and shading of external enclosures on the energy consumption of the university building

The main design features of single-pipe systems with vertical wiring, the reasons for their low efficiency, which include: physical and moral obsolete equipment and pipeline valves, lack of automatic control and regulation of coolant supply, low efficiency of heating devices, are characterized. Using the methodology according to DSTU B V.2.6-189-2013 and DSTU B A.2.2-12: 2015, the effectiveness of the introduction of automatic balancing of the heating system was first investigated, and then the effect of shading of external enclosing structures on the energy consumption of the university building, taking into account the existing state of external enclosing structures ... It has been established that balancing the heating system makes it possible to reduce the specific energy consumption for heating by 7.6%, and to reduce the energy consumption of the heating system by 164.8 MWh. The influence of the shading of external enclosing structures on the energy consumption of the building of the university is estimated, taking into account the existing state of the external enclosing structures in the absence of balancing the heating system of the building. It is shown that it leads to an insignificant excess of energy consumption for heating by 0.3 % or 6.6 MWh. It has been proven that the energy consumption of a building, taking into account the shading coefficient after balancing the heating system, can reduce the specific energy consumption for heating by 7.9 %, and reduce the energy consumption of the heating system by 165.4 MWh. Assessing the effect of shading of external enclosing structures "before" and "after" balancing the heating system of the university building, it can be argued that the energy consumption of the heating system has been reduced by 158.8 MWh or by 7.7 %. Key words: flow, balancing, solar insolation, heating system, shading

Assessment of the Insolation Duration for the Facades of Buildings and Adjacent Territories under Certain Parameters of their Development

The article is devoted to a wide scale desk and field scientific studies, devoted to a problem of solar insolation of residential buildings and near-by territories. The investigations were conducted on basis of a number of cities in Russian Federation, situated in different insolation zones of country. The different type of residential blocks, as regards to their size, shape, height, etc., was chosen for the studies in question. The lasting of solar insolation period in cardinal standard months of year in relations to the above mentioned factors was determined and this gave a possibility to make a number of general conclusions and to represent some recommendation for architectural and structural design of residential buildings and urban development in general. The article also proves the importance and validity of the latter changes, which were put into the contemporary “Sanitary Codes and Regulations” of Russian Federation in the section on insolation of buildings and territories.

Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder

Background Bipolar disorder is associated with circadian disruption and a high risk of suicidal behavior. In a previous exploratory study of patients with bipolar I disorder, we found that a history of suicide attempts was associated with differences between winter and summer levels of solar insolation. The purpose of this study was to confirm this finding using international data from 42% more collection sites and 25% more countries. Methods Data analyzed were from 71 prior and new collection sites in 40 countries at a wide range of latitudes. The analysis included 4876 patients with bipolar I disorder, 45% more data than previously analyzed. Of the patients, 1496 (30.7%) had a history of suicide attempt. Solar insolation data, the amount of the sun’s electromagnetic energy striking the surface of the earth, was obtained for each onset location (479 locations in 64 countries). Results This analysis confirmed the results of the exploratory study with the same best model and slightly better statistical significance. There was a significant inverse association between a history of suicide attempts and the ratio of mean winter insolation to mean summer insolation (mean winter insolation/mean summer insolation). This ratio is largest near the equator which has little change in solar insolation over the year, and smallest near the poles where the winter insolation is very small compared to the summer insolation. Other variables in the model associated with an increased risk of suicide attempts were a history of alcohol or substance abuse, female gender, and younger birth cohort. The winter/summer insolation ratio was also replaced with the ratio of minimum mean monthly insolation to the maximum mean monthly insolation to accommodate insolation patterns in the tropics, and nearly identical results were found. All estimated coefficients were significant at p < 0.01. Conclusion A large change in solar insolation, both between winter and summer and between the minimum and maximum monthly values, may increase the risk of suicide attempts in bipolar I disorder. With frequent circadian rhythm dysfunction and suicidal behavior in bipolar disorder, greater understanding of the optimal roles of daylight and electric lighting in circadian entrainment is needed.

Solar Resource Potentials and Annual Capacity Factor Based on the Korean Solar Irradiance Datasets Derived by the Satellite Imagery from 1996 to 2019

The Korea Institute of Energy Research builds Korean solar irradiance datasets, using gridded solar insolation estimates derived using the University of Arizona solar irradiance based on Satellite–Korea Institute of Energy Research (UASIBS–KIER) model, with the incorporation of geostationary satellites over the Korean Peninsula, from 1996 to 2019. During the investigation period, the monthly mean of daily total irradiance was in a good agreement with the in situ measurements at 18 ground stations; the mean absolute error is also normalized to 9.4%. It is observed that the irradiance estimates in the datasets have been gradually increasing at a rate of 0.019 kWh m−2 d−1 per year. The monthly variation in solar irradiance indicates that the meteorological conditions in the spring season dominate the annual solar insolation. In addition, the local distribution of solar irradiance is primarily affected by the geographical environment; higher solar insolation is observed in the southern part of Korea, but lower solar insolation is observed in the mountainous range in Korea. The annual capacity factor is the secondary output from the Korean solar irradiance datasets. The reliability of the estimate of this factor is proven by the high correlation coefficient of 0.912. Thus, in accordance with the results from the spatial distribution of solar irradiance, the southern part of Korea is an appropriate region for establishing solar power plants exhibiting a higher annual capacity factor than the other regions.

Optimal siting of solar based distributed generation (DG) in distribution system for constant power load model

In this paper optimal location and sizing of Non-dispatchable Distributed Generation (NDG) based distributed generation (DG) is investigated by considering uncertainty of NDG. In present study a solar photovoltaic (SPV) is considered as NDG because SPV based DG has uncertain nature of generated power because it is powered by solar irradiance which has uncertain characteristics. To investigate the uncertainty of intermittent nature of solar irradiance Beta Probability Density Function (BPDF) based PDF is considered for addressing the uncertainty of solar insolation. For determining the optimal size of DG unit an analytical based methodology is developed. In this study optimal capacity of NDG is estimated by deriving the expressions of DG unit at each bus. Further, a multi-objective index factor (MIF) is designed in order to find out the candidate bus for DG placement. The proposed technique is applied on IEEE 33-bus distribution network. The obtained results reveal that proposed technique provide almost similar result to that of other method which is available in literature.