کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6691260 501909 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance prediction and optimization of a waste-to-energy cogeneration plant with combined wet and dry cooling system
ترجمه فارسی عنوان
پیش بینی عملکرد و بهینه سازی یک کارخانه تولید کادمیوم زباله به انرژی با سیستم خنک کننده خنک و خشک
کلمات کلیدی
خنک کننده خنک و خنک، برج خنک کننده، کندانسور هوا، بهینه سازی بی نظیر،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
The present study is focused on a waste-to-energy plant located in Northern Italy, that produces electric power and thermal energy from the non-recyclable fraction of municipal and industrial solid waste (8,00,000 tons/year). In cold months heat is provided to a district heating system. Another peculiarity of this plant is that the condenser system is organized with an air condenser and a water cooled condenser, coupled with a wet cooling tower. This work shows how the net power output can be maximized by properly regulating the combined wet and dry units of the combined cooling system. A detailed model of the steam cycle was performed by means of a commercial code (Thermoflex®). Off design performance were carefully predicted to simulate accurately the real thermal cycle behaviour. Once the power cycle performance has been predicted over an extensive range of operating conditions, an optimal search method was implemented to find the set of variables allowing the wet and dry cooling system to be regulated so that the maximum net power is achieved. In general, the best strategy resulted in loading as much as possible the wet cooling system to reduce the operational cost of the dry air condenser. Conversely, the whole exhaust steam flow rate has to be sent only to the air condenser when the district heating water request is very large, i.e. in coldest months.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 115, 15 February 2014, Pages 65-74
نویسندگان
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