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Prediction of slagging with enhanced biomass co-firing in Dutch utility boilers using an engineering method

机译:使用工程方法预测荷兰公用事业锅炉中增强的生物质共烧结渣

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Co-firing of biomass is practised in the Netherlands for over fifteen years. For 2020 the EU-govemmeni has set a target of 20% of greenhouse gas emission reduction in comparison with 1990 in EU energy systems which could possibly mean 30 - 35% reduction in Dutch power generation. Carbon Capture and Storage (CCS) is a possible way to reduce CO_2 emissions Nevertheless, compared to co-firing of biomass these technologies are less developed and demonstrated and, dependent on the technology, it causes an expected efficiency loss of 4 (chilled ammonia process) to 9-12 (oxyfuei, amtne washing) percent points whereas efficiency losses with biomass co-firing compared to pure coal tiring are only minor Therefore, increasing the percentage of co-tiring of biomass is a realistic scenario. However, (operational) problems are expected with increased co-firing percentages in a number of fields, amongst others slagging and fouling. This paper focuses on aspects of slagging with biomass co-combustion.An engineering approach is chosen to obtain results in a relatively short period of time, "this approach consists of a combination of calculating boiler temperatures using a one dimensional boiler model and thermodynamic equilibrium calculations (FaetSage) to calculate slag composition and mass flow at a given temperature. Using the viscosity model of Urbain a prediction of the viscosity can be made and ultimately a ranking of slagging propensity tor different fuels or fuel blends. In this paper this has been done for coal, and co-firing straw and clean wood with coal. Straw is not being co-fired in the Netherlands, neither it is the expectation that it will be, but acts as a reference for international literature. Wood ts foreseen as major biomass for co-firing in the future of the NetherlandsVarious aspects of modelling are discussed which often lack in papers on thermodynamic equilibrium A short literature overview of thermodynamic equilibrium is given, especially in relation to deposition related aspects (molten slags and salts). Also the restraints of equilibrium calculations are mentioned Availability of elements is higher in many biomasses than in coal. However, the translation of solvability (chemical fracuonatiort) to availability is unclear and its sensitivity is evaluated. Important is also the choice of products, E g,, the equilibrium of SO_2 and SO_3 is far from what is measured in practice. Furthermore, formation of more complex minerals is less likely, hence an evaluation of minerals found in fly ash is necessary.The results are not conflicting with sooner obtained results by others, however, validation and comparison with more accurate modelling (i e. CFO) is required. The following results can be drawn from the presented calculations: the choice of the critical viscosity has a great impact Oil the results. As measurement of viscosity at high temperatures (> 1000 °C) is difficult, validation by measurement of the deposition rate is the most logic route; the availability of elements (in biomass) has an impact but minor compared to the choice of the critical viscosity. It is expected that for higher percentages of biomass co-firing availability of elements in biomass will have more impact, also on fouling behaviour, temperature will be lower near the wails as the calculated temperature with the ID model are average temperatures in a horizontal plane. Also here the sensitivity is minor compared to the critical viscosity Nevertheless, more changes in temperature can be expected with higher biomass percentages and hence it should be accounted for more accuracy in the ID boiler model. Further work is aimed at the improvement of the accuracy of modelling, modelling validation and putting results into practise
机译:在荷兰,生物质共烧已有超过15年的历史。欧盟政府的目标是到2020年将欧盟能源系统的温室气体排放量与1990年相比减少20%,这可能意味着荷兰发电量减少30%至35%。碳捕集与封存(CCS)是减少CO_2排放的一种可能方法。但是,与生物质共烧相比,这些技术的开发和示范程度较低,并且取决于该技术,它会导致预期的效率损失4(冷氨法)降低到9-12(oxyfuei,amtne洗涤)个百分点,而与纯煤轮胎联合燃烧相比,生物质联合燃烧的效率损失很小。因此,增加生物质联合燃烧的百分比是现实的情况。然而,在许多领域中,(操作)问题预计会随着共烧百分比的增加而增加,其中包括结渣和结垢。本文着重于与生物质混合燃烧的排渣方面。 选择了一种工程方法来在相对较短的时间内获得结果,“这种方法包括使用一维锅炉模型计算锅炉温度和热力学平衡计算(FaetSage)的组合,以计算给定条件下的炉渣成分和质量流量。使用Urbain的粘度模型可以预测粘度,并最终对不同燃料或燃料混合物的结渣倾向进行排名。秸秆并没有在荷兰被共烧,也没有期望,但是可以作为国际文献的参考。 讨论了建模的各个方面,这些方面通常在热力学平衡方面缺乏文献。对热力学平衡进行了简短的文献综述,尤其是与沉积相关的方面(熔渣和盐分)。还提到了平衡计算的约束条件。许多生物质中元素的有效性比煤炭中的更高。但是,尚不清楚可溶性(化学fracuonatiort)向可用性的转化,并对其敏感性进行了评估。同样重要的是产物的选择,例如,SO_2和SO_3的平衡与实际测量值相差甚远。此外,更不可能形成更复杂的矿物质,因此有必要对粉煤灰中发现的矿物质进行评估。 结果与其他人早日获得的结果并不矛盾,但是,需要进行验证并与更准确的建模(即CFO)进行比较。从给出的计算中可以得出以下结果:临界粘度的选择对结果有很大的影响。由于很难在高温(> 1000°C)下测量粘度,因此通过测量沉积速率进行验证是最合理的方法。 (生物质中)元素的可用性会产生影响,但与临界粘度的选择相比影响很小。可以预期的是,对于更高比例的生物质,生物质中元素的可利用性会产生更大的影响,并且对结垢行为而言,由于ID模型计算的温度为水平面中的平均温度,因此临近壁的温度会更低。同样,此处的灵敏度与临界粘度相比较小。不过,随着生物质百分比的增加,可以预期温度会发生更多变化,因此在ID锅炉模型中应考虑到更高的准确性。进一步的工作旨在提高建模,建模验证和将结果付诸实践的准确性。

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