Abstract
A power generating system in a steam power plant is a complex one. This system involves a large number of variables containing information concerning the operation conditions. It can also be seen as an important asset in both power generation and energy portfolios. At the Asam-asam power plant of South Kalimantan, the complexity of the system has led to difficulties in explaining the apparently steady decrease in the output power. The amount of data collected is simply too big and the dimension too high for analysis purposes based on conventional thermodynamics. This study was performed to tackle the problem using statistical modelling. This approach can accommodate empirical behaviors of the variables and the probabilistic nature of the system. Information obtained from this modelling can be valuable for various purposes. The method consists of literature review, model development, data collection and analysis, and model fitting. Generalized additive models were chosen. Data were available from the company as observed from more than 140 variables. The resulting model identifies variables significantly related to the output power and locate subsystems whose fluctuating behaviors are usually ignored in a conventional thermodynamic analysis. A direction for future research is recommended.
Highlights
A power generating system in a steam power plant is a complex one
A steady decrease in output power of a steam power plant generating unit is a problem faced at the Asamasam power plant
It is necessary to be able to explain the effects of hundreds of variables on output power
Summary
A power generating system in a steam power plant is a complex one. It converts chemical energy in the fuel supplied to the system into heat. These variables carry with them information concerning the operation conditions of the plant Analysis of these variables and the relationships between them is essential for explaining the behavior and the performance of the system. These variables can be considered as random variables whose observed values are subject to random chances, and their analysis requires an approach that accommodates their probabilistic behaviors Such a system can be seen as an important asset in both power generation and energy asset portfolios. This, in turn, can provide knowledge and understanding beneficial to the maintenance of the power plant and the improvement of its performance in the future For this reason, it is important to study how it is possible to model the power generating behavior of the system in such a way that completely explains the effect of each of the system variables. The resulting information will be useful for operation and maintenance purposes as well as for future improvement of the system
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
