Research on heat absorption characteristics of high temperature heating surfaces of supercritical CFB boilers

Hu, Wang; Hu, Changhua; He, Jianpin; Zhang, Peng; Xin, Shengwei; Gu, W; Du, Jiajun; Gu, Congyang; Wu, Wanzhu; Yang, Baozhou; Xu, Huaide; Liu, Jihui

doi:10.1088/1755-1315/227/4/042060

Cited by 1 publication

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“…They often have high moisture contents, low heating values, and contain a variety of minor chemical constituents, such as chlorine, sulfur, phosphorus, nitrogen, and a variety of ash-forming metals (Mikko et al 2017). A circulating fluidized bed (CFB) offers several distinct advantages, including wide fuel adaptability, high combustion efficiency, low combustion interval temperature, and an easy to realize desulfurization and denitrification process (Chen et al 2019;Wang et al 2019). These characteristics of CFB are suitable for biomass burning.…”

Section: Introductionmentioning

confidence: 99%

Modeling and dynamic characteristics of the dense phase region of a biomass-fired circulating fluidized bed combustion system using Modelica

Liu

Pan²,

Liu

et al. 2020

BioRes

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Using Modelica language, a mathematical model combining static and dynamic contributions of the dense phase region of a 130 t/h biomass circulating fluidized bed boiler combustion system was established on MWorks simulation platform. The mathematical model adopted modular packaging to increase the universality of the model, and it used an implicit, high-order, and multi-step Dassl integration algorithm to conduct the simulation. Under the design condition parameters, the relative error between the bed temperature of the dense phase region obtained by the simulation model and the actual temperature was less than 3.8%, which indicated that the static characteristics of the established simulation model were accurate. The effects of biomass feed and primary air volume step changes on the bed temperature, oxygen content in the flue gas, height of the dense phase region, and the bed pressure difference in the dense phase region were investigated. Both the biomass feeding and the primary wind step of 10% reduced the temperature, and it was obvious that the primary wind had a greater impact on the bed temperature. Meanwhile, the primary wind had a greater impact on the bed pressure difference than the biomass feeding.

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Section: Introductionmentioning

confidence: 99%