کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4991843 | 1457116 | 2017 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Joint numerical-technical analysis and economical evaluation of applying small internal combustion engines in combined heat and power (CHP)
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Joint numerical-technical analysis and economical evaluation of applying small internal combustion engines in combined heat and power (CHP) Joint numerical-technical analysis and economical evaluation of applying small internal combustion engines in combined heat and power (CHP)](/preview/png/4991843.png)
چکیده انگلیسی
We offer a general procedure to design and select a CHP unit based on an internal combustion engine. This work is devoted to provide a numerical model to estimate the amount of generated power and recovered heat, based on the engine performance features. We evaluated the mismatch of our numerical results and the available computational published values. We also evaluated our presented design CHP unit economically and technically. Finally, “Grey Systems Theory” is proposed as a multi decision making strategy to determine the optimal engine. Applying the numerical model on vehicles' engines provides the efficiency and power and heat production characteristics of the engine. It is observed that an optimum operation system must be chosen for each case, separately. Generally, using several smaller engines in parallel mode is preferred over a single large engine. This is due to two major enhancements achieved in the former scenario; longer operation period at full load operation and reliability level improvement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 113, 25 February 2017, Pages 694-704
Journal: Applied Thermal Engineering - Volume 113, 25 February 2017, Pages 694-704
نویسندگان
Pooya Arbabi, Abbas Abbassi, Zohreh Mansoori, Mohammad Seyfi,