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Development of feed...
Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers
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- Zlatkovikj, Milan (author)
- Mälardalens universitet,Framtidens energi
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- Li, Hailong, 1976- (author)
- Mälardalens universitet,Framtidens energi
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- Zaccaria, Valentina, 1989- (author)
- Mälardalens universitet,Framtidens energi
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- Aslanidou, Ioanna (author)
- Mälardalens universitet,Innovation och produktrealisering
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(creator_code:org_t)
- ELSEVIER SCI LTD, 2022
- 2022
- English.
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In: Journal of Process Control. - : ELSEVIER SCI LTD. - 0959-1524 .- 1873-2771. ; 115, s. 167-180
- Related links:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- In order to accommodate more intermittent renewable energy sources, biomass fueled combined heat and power plants (bio-CHPs) can contribute towards sustainable and flexible energy systems. However, the varying properties of biomass, such as moisture contents and heating values, can clearly affect the combustion in boilers, which further affects the flexibility provided by bio-CHPs. In order to achieve better control, this paper proposes a feed-forward model predictive controller (FF MPC) to handle the variation of biomass properties. A dynamic model was built in Dymola to simulate the performance of a bubbling fluidized bed boiler, which was validated against the real operation data. Based on the simulation, the key manipulated variables were optimized for the given controlled variables. The advantages of the proposed FF MPC were demonstrated through comparisons with proportional- integral (PI), FF PI and MPC. The results of FF MPC show the best performance, such as the lowest magnitude of fluctuations for 3 outputs (thermal load, steam and fluidized bed temperature), and the most stable operation. Consequently, FF MPC can potentially increase the electricity generation and further lead to an economic benefit. Using one week in winter as an example, compared to PI, FF PI and MPC, FF MPC can generate more electricity and improve revenues by 14.77 MWh/590 =C, 4.1 MWh/164 =C and 5.03 MWh/211.2 =C respectively.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
Keyword
- Biomass fueled CHP
- Biomass properties
- Bubbling fluidized bed
- Model predictive control (MPC)
- Feed-forward (FF)
- Dynamic simulations
Publication and Content Type
- ref (subject category)
- art (subject category)
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