research-focus Research Focus International Scientific Journal Research Focus 2181-3833 Ilm-fan va innovatsiyalar akademiyasi 10.66073/researchfocus.v4i11.1834 REL-A-013150 05.00.00 QUYOSH RADIATSIYASINI PYTHON DASTURLASH YORDAMIDA MODELLASHTIRISH VA EKSPERIMENTAL MA‘LUMOTLAR BILAN TAQQOSLASH MODELING SOLAR RADIATION USING PYTHON PROGRAMMING AND COMPARING IT WITH EXPERIMENTAL DATA МОДЕЛИРОВАНИЕ СОЛНЕЧНОЙ РАДИАЦИИ С ПОМОЩЬЮ ПРОГРАММИРОВАНИЯ НА PYTHON И СРАВНЕНИЕ С ЭКСПЕРИМЕНТАЛЬНЫМИ ДАННЫМИ Roziqov Jurabek Yuldashboy o‘g‘li Farg‘ona davlat universiteti, Murabbiylar ko‘chasi 19 Ro‘ziboyev Valijon Umarali o‘g‘li Kamolova Muhabbat Muhiddin qizi Ahmedova Shalola Yunusali qizi 05 12 2025 2025 4 11 80 86 https://creativecommons.org/licenses/by/4.0 Ushbu asar Creative Commons Attribution 4.0 International litsenziyasi asosida litsenziyalangan.

Ushbu maqolada Yer yuzasiga yetib keladigan quyosh radiatsiyasi intensivligini uchta keng qo‘llaniladigan “ochiq osmon” modellaridan foydalangan holda – ASHRAE 2001, Hottel (1976) va ASHRAE 2009 – kompleks sonli modellashtirish va tekshirish natijalari taqdim etiladi. Tadqiqotning maqsadi yil davomida ushbu modellar aniqligini baholash bo‘lib, hisob-kitoblar Python va MATLAB dasturlash tillarida amalga oshirilgan. Har bir model yilning kuniga hamda qabul qiluvchi sirtning og‘ish burchagiga bog‘liq holda to‘g‘ridan-to‘g‘ri va tarqoq quyosh radiatsiyasi miqdorini hisoblashga tatbiq qilindi. Hisoblangan qiymatlar har bir modelning amaliyligini va cheklovlarini aniqlash maqsadida eksperimental ma‘lumotlar bilan grafik tarzda taqqoslandi. Model aniqligini miqdoriy baholash uchun asosiy ko‘rsatkichlar hisoblab chiqildi hamda natijalar ASHRAE 2001 modeli sinovdan o‘tkazilgan modellar ichida eng yuqori moslikka ega ekanini ko‘rsatdi. Ushbu tadqiqot quyosh energiyasi tizimlarini loyihalashni optimallashtirish, ma‘lum iqlim sharoitlari uchun model tanlash hamda takrorlanuvchanlikni ta‘minlash maqsadida ochiq manbali Python realizatsiyasini taqdim etadi.

This article presents the results of comprehensive numerical modelling and validation of the intensity of solar radiation reaching the Earth‘s surface using three widely applied "clear sky" models - ASHRAE 2001, Hottel (1976) and ASHRAE 2009. The aim of the study is to assess the accuracy of these models throughout the year, and the calculations were carried out in the Python and MATLAB programming languages. Each model was applied to calculate the amount of direct and diffuse solar radiation depending on the day of the year and the tilt angle of the receiving surface. The calculated values were compared graphically with experimental data in order to determine the applicability and the limitations of each model. Key indicators were calculated for the quantitative assessment of model accuracy, and the results showed that the ASHRAE 2001 model has the closest agreement among the models tested. This study provides an open-source Python implementation with the aim of optimising the design of solar energy systems, selecting a model for particular climatic conditions and ensuring reproducibility.

В данной работе представлено комплексное численное моделирование и валидация интенсивности солнечного излучения на поверхности Земли с использованием трёх известных моделей для ясного неба: ASHRAE 2001, Hottel (1976) и ASHRAE 2009. Целью является оценка их точности в течение года на основе результатов моделирования, выполненных в средах Python и MATLAB. Каждая модель применяется для расчёта прямой и рассеянной солнечной радиации в зависимости от дня года и угла наклона принимающей поверхности. Рассчитанные значения графически сравниваются с экспериментальными данными для оценки релевантности и ограничений каждой модели. Для количественной оценки точности модели рассчитываются ключевые показатели эффективности (средняя ошибка смещения, среднеквадратическая ошибка и т. д.). Результаты показывают, что модель ASHRAE 2001 демонстрирует наиболее близкое соответствие результатам измерений среди протестированных моделей. Данное исследование способствует оптимизации проектирования солнечной энергетической системы и выбору модели для конкретных климатических условий, а также предоставляет реализацию на Python с открытым исходным кодом для воспроизводимости результатов.

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