Dpt. Chem. & Environ. Eng., University of the Basque Country UPV/EHU, Alda. de Urquijo s/n, 48013 Bilbao, Spain.
Dpt. Chem. & Environ. Eng., University of the Basque Country UPV/EHU, Alda. de Urquijo s/n, 48013 Bilbao, Spain.
Waste Manag. 2018 Jan;71:200-214. doi: 10.1016/j.wasman.2017.10.052. Epub 2017 Nov 7.
A feasible alternative for agricultural or forestry waste management is the operation of a distributed network of sustainable Medium Combustion Plants (MCPs). However, one of the main factors that hinder its development is the propensity to operational problems derived from corrosion, slagging and fouling characteristics of both bottom and fly ashes. Therefore, a cost-effective approach for these multi-product MCP could be based on predictive tools for an optimal formulation of a fuel blend. This work focuses on the assessment of the ability of these methods to provide guidance for preventing ash-related operational problems and to provide fuel-blending rules. The more widespread tools pertain to two types: compositional classification based on chemical analysis of laboratory ashes, and thermodynamic prediction of the most likely species and phases. Both criterion numbers and compositional maps are ranking methods based on the chemical analysis at a given ashing temperature. Thermodynamic equilibrium modeling is not constrained by any difference in the physical conditions of the MCP compared to those in the laboratory. Both kind of prediction tools have been validated in an MCP firing olive tree pruning residues as well as its typical blends in order to mimic a plausible pattern of fuels along a full year operating campaign. An intensive experimental campaign encompasses plant monitoring and off-line analysis of the ashes along the process line. Interpretation of compositional plots has revealed to be potentially sensitive to ashing temperature. Here are presented examples showing how this variable could lead to either insignificant differences or to a substantial disparity in the a priori fuel diagnosis. Some inconsistencies have been observed between the predictions based on criterion numbers, even for the same fuel and for ranking rules specifically formulated for biomasses. Moreover, it does not match consistently with the information obtained from phase diagrams. Therefore, their use should be limited to the case of a well-established selection of a fuel index for a well-defined fuel provided empirical evidence of an enough good description of the ash behavior, which is not the most frequent case. Thermodynamic equilibrium calculations allow a more precise prediction of the main species in the condensed phase, without the constraint of the ashing temperature. Elemental closure of main ash-forming elements with the chemical analysis of the process ashes presents small differences, and their proximity localization on the phase diagrams denote similar prediction between predicted and process ashes.
农业或林业废物管理的可行替代方案是运营分布式可持续中型燃烧厂(MCP)网络。然而,阻碍其发展的一个主要因素是由于底灰和飞灰的腐蚀、结渣和积垢特性而导致的操作问题的倾向。因此,对于这些多产品 MCP,一种具有成本效益的方法可以基于预测工具来优化燃料混合物的配方。这项工作侧重于评估这些方法提供防止与灰分相关的操作问题的指导并提供燃料混合规则的能力。更广泛使用的工具属于两种类型:基于实验室灰分化学分析的成分分类,以及最可能物种和相的热力学预测。两种标准数量和成分图都是基于给定灰化温度下的化学分析的排序方法。热力学平衡建模不受 MCP 与实验室相比在物理条件上的任何差异的限制。这两种预测工具都已在 MCP 燃烧橄榄树修剪残留物及其典型混合物中进行了验证,以模拟整个运行年度燃料的合理模式。一项密集的实验活动包括对工厂的监测以及沿工艺线对灰分的离线分析。成分图的解释已被证明对灰化温度具有潜在的敏感性。这里介绍了一些示例,展示了这种变量如何导致预先诊断燃料的差异微不足道或实质性差异。即使对于相同的燃料,对于专门为生物量制定的分级规则,基于标准数量的预测之间也存在一些不一致。此外,它与从相图获得的信息不一致。因此,它们的使用应仅限于为具有足够良好的灰分行为描述的明确燃料选择建立了既定燃料索引的情况,而这并不是最常见的情况。热力学平衡计算允许更精确地预测凝聚相中的主要物种,而不受灰化温度的限制。主要灰分形成元素与过程灰分的化学分析的元素闭合性具有较小的差异,并且它们在相图上的接近本地化表示预测灰分和过程灰分之间的相似预测。