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Improving control in VAV systems using fuzzy logic controller to saving electrical energy

استخدام المتحكم العائم لتحسين التحكم بأنظمة التكييف متغير الحجم بهدف توفير الاستهلاك الكهربائي

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 Publication date 2016
and research's language is العربية
 Created by Shamra Editor




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As known the electric energy is one of the most important factor of development, but using it causes bad environmental impacts due to depending on fuel as the source of electrical generation. Using renewable energy is still limited and needs a huge fixed costs, so it is important to reduce electrical consumption by monitoring and controlling equipment to achieve its function with lower consumption. HVAC sector is the most consumption part in buildings, therefor any saving in this sector will affect manifestly on the total electrical consumption in the building and this is done by control system. Control systems are in continuous improving, so it is needed to exploit them in saving electrical energy. In this research, studying control of VAV system and designing fuzzy logic controller to drive supply fan in order to reduce its electrical consumption, this is performed through designing practical prototype of the supply fan with its tools and software which are designed to view the electrical energy saving which we gain it by using fuzzy logic controller.


Artificial intelligence review:
Research summary
تناول البحث موضوع استخدام المتحكم العائم لتحسين التحكم بأنظمة التكييف متغير الحجم بهدف توفير الاستهلاك الكهربائي. يشكل الاستهلاك الكهربائي في أنظمة التكييف جزءاً كبيراً من الاستهلاك الكلي للطاقة في المباني، وبالتالي فإن تحسين التحكم في هذه الأنظمة يمكن أن يؤدي إلى توفير كبير في الطاقة. تم تصميم نموذج فيزيائي مصغر لنظام التكييف مع مروحة تزويد مركزية، وتم استخدام متحكم عائم للتحكم بسرعة المروحة بناءً على متغيرات الضغط والتدفق. أظهرت النتائج أن استخدام المتحكم العائم يمكن أن يوفر حتى 75% من الاستهلاك الكهربائي مقارنةً بتشغيل المروحة بسرعة ثابتة، و63% مقارنةً باستخدام التحكم التقليدي بالضغط. تم تطبيق هذه التقنية في مشروع وردة مسار في دمشق، حيث أظهرت النتائج توفيراً سنوياً يصل إلى 49% من استهلاك الطاقة الكهربائية للمروحة. يوصي البحث بتعميم هذه التقنية على باقي أجزاء نظام التكييف لتحقيق توفير أكبر في استهلاك الطاقة.
Critical review
دراسة نقدية: يعتبر البحث مهماً في مجال تحسين كفاءة استهلاك الطاقة في أنظمة التكييف، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، لم يتم التطرق بشكل كافٍ إلى التحديات العملية التي قد تواجه تطبيق المتحكم العائم في أنظمة التكييف الكبيرة والمعقدة. ثانياً، كان من الممكن تقديم تحليل اقتصادي مفصل يوضح تكلفة تنفيذ هذه التقنية مقارنةً بالتوفير المتوقع في استهلاك الطاقة. ثالثاً، يفضل إجراء تجارب إضافية على نطاق أوسع وفي ظروف تشغيل مختلفة للتحقق من فعالية المتحكم العائم في بيئات متنوعة. بشكل عام، البحث يقدم مساهمة قيمة في مجال إدارة الطاقة، ولكن يتطلب المزيد من الدراسات لتأكيد النتائج وتعميمها على نطاق أوسع.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي من البحث هو تحسين التحكم بأنظمة التكييف متغير الحجم باستخدام متحكم عائم لتوفير الاستهلاك الكهربائي.

  2. ما هي النتائج الرئيسية التي توصل إليها البحث؟

    النتائج الرئيسية هي أن استخدام المتحكم العائم يمكن أن يوفر حتى 75% من الاستهلاك الكهربائي مقارنةً بتشغيل المروحة بسرعة ثابتة، و63% مقارنةً باستخدام التحكم التقليدي بالضغط.

  3. أين تم تطبيق نتائج الدراسة عملياً؟

    تم تطبيق نتائج الدراسة عملياً في مشروع وردة مسار في دمشق، حيث أظهرت النتائج توفيراً سنوياً يصل إلى 49% من استهلاك الطاقة الكهربائية للمروحة.

  4. ما هي التوصيات التي قدمها البحث؟

    البحث يوصي بتعميم تقنية المتحكم العائم على باقي أجزاء نظام التكييف لتحقيق توفير أكبر في استهلاك الطاقة، واستخدام المعالجة العائمة ضمن الحاسوب لتحقيق سرعة معالجة عالية.


References used
KOLOKOTSAA, D; STAVRAKAKISB, G.S; KALAITZAKISB, K; AGORISC, D. Genetic algorithms optimized fuzzy controller for the indoor environmental management in buildings implemented using PLC and local operating network. Engineering Applications of Artificial Intelligence Greece. Vol. 15, 2002, 417–428
PARAMESHWARAN, R; KARUNAKARAN, R; VINU RAJA KUMAR, C; INIYAN, S. Energy conservative building air conditioning system controlled and optimized using fuzzy-genetic algorithm. Energy and Buildings India. Vol. 42, 2010, 745– 762
BEHROOZ, F; RAMLI, A; SAMSUDIN, K. A survey on applying different control methods approach in building automation systems to obtain more energy efficiency. International Journal of the Physical Sciences Malaysia. Vol. 6(9), 2011, 2308- 2314
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