Data-driven multi-objective optimisation of coal-fired boiler combustion systems

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-objective Optimization of Coal-fired Boiler Combustion Based on NSGA-II

NOx emission characteristics and overall heat loss model for a 300MW coal-fired boiler were established by Back Propagation (BP) neural network, by which the the functional relationship between outputs (NOx emissions & overall heat loss of the boiler) and inputs (operational parameters of the boiler) of a coal-fired boiler can be predicted. A number of field test data from a full-scale operatin...

متن کامل

Mining Temporal Data: A Coal-Fired Boiler Case Study

This paper presents an approach to control pluggage of a coal-fired boiler. The proposed approach involves statistics, data partitioning, parameter reduction, and data mining. The proposed approach was tested on a 750 MW commercial coal-fired boiler affected with a fouling problem that leads to boiler pluggage that causes unscheduled shutdowns. The rare-event detection approach presented in the...

متن کامل

Optimisation of combustion efficiency and emissions in coal-fired boilers using Computational Fluid Dynamics

As more power generation facilities fall under increasingly strict environmental regulations, many difficult emissions control questions must be answered. In addition, the changes on the electricity market make efficient generation vital if a plant is to remain viable. Until recently an effective method for identifying optimal emissions control technologies has been elusive. Fortunately, emissi...

متن کامل

Detection of Events Causing Pluggage of a Coal-fired Boiler: a Data Mining Approach

This paper presents an approach to analyze events leading to pluggage of a boiler. The proposed approach involves statistics, data partitioning, parameter reduction, and data mining. Two independent data mining algorithms have been applied to detect both static and dynamic relationships among the process parameters. The multi-angle data mining approach increases the ability to locate rare event...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied Energy

سال: 2018

ISSN: 0306-2619

DOI: 10.1016/j.apenergy.2018.07.101