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A method for estimation of recoverable heat from blowdown systems during steam generation

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  • Bahadori, Alireza
  • Vuthaluru, Hari B.

Abstract

During the generation of steam, most water impurities are not evaporated with the steam and thus concentrate in the boiler water. The concentration of the impurities is usually regulated by the adjustment of the continuous blowdown valve, which controls the amount of water (and concentrated impurities) purged from the steam drum. Since a certain amount of continuous blowdown must be maintained for satisfactory boiler performance, a significant quantity of heat is removed from the boiler. It is necessary to provide a simple-to-use method to calculate the total amount of heat that is recoverable using this system. In the present work, a simple-to-use predictive tool, which is easier than existing approaches, less complicated with fewer computations and minimize the complex and time-consuming calculation steps, is formulated to arrive at an appropriate estimation of the percent of blowdown that is flashed to steam as a function of flash drum pressure and operating boiler drum pressure followed by the calculation of the amount of heat recoverable from the condensate. Since all of the heat in the flashed steam is recoverable, the total percent of heat recoverable from the flash tank and heat-exchanger system is calculated in the final step. Results show that the proposed predictive tool has a very good agreement with the reported data wherein the average absolute deviation percent was observed to be around 1.47%.

Suggested Citation

  • Bahadori, Alireza & Vuthaluru, Hari B., 2010. "A method for estimation of recoverable heat from blowdown systems during steam generation," Energy, Elsevier, vol. 35(8), pages 3501-3507.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:8:p:3501-3507
    DOI: 10.1016/j.energy.2010.04.054
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    References listed on IDEAS

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    1. Bahadori, Alireza & Vuthaluru, Hari B., 2010. "A simple method for the estimation of thermal insulation thickness," Applied Energy, Elsevier, vol. 87(2), pages 613-619, February.
    2. Smrekar, J. & Assadi, M. & Fast, M. & Kuštrin, I. & De, S., 2009. "Development of artificial neural network model for a coal-fired boiler using real plant data," Energy, Elsevier, vol. 34(2), pages 144-152.
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    4. Bahadori, Alireza & Vuthaluru, Hari B., 2010. "Simple equations to correlate theoretical stages and operating reflux in fractionators," Energy, Elsevier, vol. 35(3), pages 1439-1446.
    5. De, S. & Kaiadi, M. & Fast, M. & Assadi, M., 2007. "Development of an artificial neural network model for the steam process of a coal biomass cofired combined heat and power (CHP) plant in Sweden," Energy, Elsevier, vol. 32(11), pages 2099-2109.
    6. Domenichini, R. & Gallio, M. & Lazzaretto, A., 2010. "Combined production of hydrogen and power from heavy oil gasification: Pinch analysis, thermodynamic and economic evaluations," Energy, Elsevier, vol. 35(5), pages 2184-2193.
    7. Bujak, J., 2008. "Mathematical modelling of a steam boiler room to research thermal efficiency," Energy, Elsevier, vol. 33(12), pages 1779-1787.
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    1. Chantasiriwan, Somchart, 2023. "The recovery of blowdown heat using steam dryer in biomass power plant," Energy, Elsevier, vol. 283(C).

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