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Optimal supervisory control of steam generators operating in parallel

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  • Costanza, Vicente
  • Rivadeneira, Pablo S.

Abstract

A supervisory control working as a ‘dynamic feedback’ is substantiated for optimally allocating demands to a group of n boilers in parallel. The set-points to each conventional controlled boiler are continuously changed while: (i) minimizing a combined cost, which is cumulative in time and takes into account the dynamics of all individual boilers, and (ii) generating a strategy that can cope with general disturbances, like changes in fuel composition and noisy measurements, i.e. with differences between the predicted and the measured values of the variables. The structure of the problem results in a 2n affine-linear model subject to a quadratic cost, and the resulting optimal control is also affine-linear with time-dependent coefficients, which do not depend on the total vapor demand. The methods are tested with a two case studies for 2 and 3 boilers. It is shown that this dynamical supervisory control leads to savings of at least 10% relative to nontrivial piecewise-constant strategies.

Suggested Citation

  • Costanza, Vicente & Rivadeneira, Pablo S., 2015. "Optimal supervisory control of steam generators operating in parallel," Energy, Elsevier, vol. 93(P2), pages 1819-1831.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:1819-1831
    DOI: 10.1016/j.energy.2015.10.018
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    References listed on IDEAS

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    1. Krüger, Klaus & Franke, Rüdiger & Rode, Manfred, 2004. "Optimization of boiler start-up using a nonlinear boiler model and hard constraints," Energy, Elsevier, vol. 29(12), pages 2239-2251.
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    3. Saidur, R. & Ahamed, J.U. & Masjuki, H.H., 2010. "Energy, exergy and economic analysis of industrial boilers," Energy Policy, Elsevier, vol. 38(5), pages 2188-2197, May.
    4. Liukkonen, M. & Hiltunen, T., 2014. "Adaptive monitoring of emissions in energy boilers using self-organizing maps: An application to a biomass-fired CFB (circulating fluidized bed)," Energy, Elsevier, vol. 73(C), pages 443-452.
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    1. Dong, Zhe & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2020. "Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system," Applied Energy, Elsevier, vol. 259(C).

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