REDUCING THE ENVIRONMENTAL IMPACT AND ENERGY INDEPENDENCE OF A MEDICAL FACILITY WHEN IMPLEMENTING SOLAR PHOTOVOLTAIC PANELS
Developing a low-carbon economy is on the agenda worldwide to reduce the negative impact on human health and the environment due to climate change and an increase in the Earth’s average annual temperature of more than 1.50C, due to greenhouse gas emissions. The improvement of solar energy technologi...
Збережено в:
| Дата: | 2025 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Institute of Renewable Energy National Academy of Sciences of Ukraine
2025
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| Теми: | |
| Онлайн доступ: | https://ve.org.ua/index.php/journal/article/view/535 |
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| Назва журналу: | Vidnovluvana energetika |
Репозитарії
Vidnovluvana energetika| Резюме: | Developing a low-carbon economy is on the agenda worldwide to reduce the negative impact on human health and the environment due to climate change and an increase in the Earth’s average annual temperature of more than 1.50C, due to greenhouse gas emissions. The improvement of solar energy technologies today provides affordable and effective solutions in this direction in various industries, in particular, in the medical field. The modeling method allows you to determine the optimal configurations of solar panels from the point of view of environmental protection and ensuring the necessary level of generation for the needs of a medical institution. At the same time, the energy independence of a medical facility from central networks is critically important for the provision of medical care, especially during natural disasters or military operations.
To obtain data on environmental and energy indicators and select the optimal options for using solar panels to meet the energy needs of the medical facility and decarbonization, a modeling method was chosen. The work was carried out using modern PV-Sol Premium 2025 software, which allows for detailed modeling of photovoltaic systems taking into account the specifics of the facility. The modeling method predicted the reduction of CO2 emissions and determined the energy indicators for a medical facility located in Kyiv, when implementing solar panels. Based on the climatic data of the region, the calculation of potential energy generation by solar installations of various configurations was performed and the optimal options were determined. Ref. 22. Fig.7. Tab.4. |
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