Подход к управлению энергопотреблением умного дома внедрением методики «улучшенного северного ястреба-тетеревятника»; оптимизация комфорта пользователя, минимизация затрат и содействие эффективному потреблению энергии

   Водород играет решающую роль в поиске устойчивых и чистых энергетических решений, и его влияние на управление энергопотреблением в "умном доме" представляет особый интерес. С быстрым развитием технологий "умного дома" оптимизация энергопотребления стала важной задачей, направленной на достижение эффективного энергопотребления, снижение затрат и повышение комфорта пользователей. Зеленый водород, получаемый путем электролиза воды с использованием возобновляемых источников энергии, становится многообещающим решением для устойчивой энергетики. Это дает множество преимуществ, включая нулевые выбросы парниковых газов, высокую плотность энергии и универсальность применения. В рамках данного исследования были исследованы усовершенствованный алгоритм оптимизации northern goshawk (ENGO) и оригинальный алгоритм оптимизации northern goshawk (NGO) для оптимизации управления энергопотреблением в "умном доме". Используя двухэтапный подход, основанный на высоких и низких скоростях, ENGO преодолевает ограничения NGO, такие как низкая эксплуатационная способность и зависимость от локальных оптимумов. Исследование показывает, что ENGO превосходит NGO в одновременном достижении нескольких целей, включая снижение соотношения пиковой и средней мощности, снижение затрат на электроэнергию и обеспечение комфорта пользователей. Кроме того, ENGO оказалась более надежной и способной решать сложные задачи управления энергопотреблением в "умном доме" с многочисленными ограничениями. Таким образом, интеграция водородных решений, таких как green hydrogen, с передовыми методами оптимизации, такими как ENGO, может внести значительный вклад в эффективное управление энергетическими ресурсами в "умных домах", повышая надежность и удовлетворенность пользователей.

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