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Model based optimization of the control strategy of a gasifier coupled with a spark ignition engine in a biomass powered cogeneration system

机译:基于模型优化的气化器控制策略与生物质动力发电机系统的火花点火发动机

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摘要

Model-based optimization offers the appealing opportunity of interpolating performance of a physical system between settings and of inferring its behaviour from previously unobserved areas of the parameter space, up to the optimal one. Application of this technique to micro-Combined Heat and Power (m-CHP) generation based on biomass gasification allows better exploiting the potential of this renewable energy source (RES) and of the specific technology for thermo-chemical conversion. A numerical model of a real CHP plant of the micro-scale of power, the ECO20 manufactured by the Italian Company Costruzioni Motori Diesel S.p.A., is presented in this paper as coupled with an optimization algorithm for the search of the best performance in terms of electric power output. The considered m-CHP system, made of a gasifier, a syngas cleaning system and a spark ignition Internal Combustion Engine (ICE) working as a co-generator, is fueled by woodchip. The plant model is realized by schematizing the whole biomass-to-energy chain within the Thermoflex (TM) environment and, simultaneously, by improving the prediction of the ICE performance through a properly developed and validated one-dimensional (1D) model in GT-Suite (R). Simulation of the combustion process is specifically customized for syngas use, namely to account for the extreme variability of this fuel that strongly depends upon the kind of processed biomass and the gasifier operating conditions. The system model is validated on the ground of experimental data collected on the real plant and is coupled with the modeFRONTIER (TM) software for the optimal choice of the main operating parameters.
机译:基于模型的优化提供了在设置之间插入物理系统的性能的吸引人的机会,并从先前未观察到的参数空间区域的行为,直到最佳的位置。该技术在基于生物量气化的微综合热量和功率(M-CHP)的应用允许更好地利用这种可再生能源(RES)和用于热化学转换的具体技术的潜力。本文提出了由意大利公司Costruzioni Motori柴油Spa制造的微型电力的实际电源的实际CHP工厂的数值模型,如用于搜索电气方面的最佳性能的优化算法功率输出。通过木片涡流,由气化器,合成气清洁系统和火花点火内燃机(ICE)制成的被认为的M-CHP系统由Woodchip推动。通过在ThermoFlex(TM)环境内的整个生物质对能链中,通过在GT-中通过适当开发和验证的一维(1D)模型来改善冰能的预测来实现植物模型。套房(r)。燃烧过程的仿真特异性地定制用于合成气的使用,即要考虑该燃料的极端可变性,该燃料强烈取决于加工生物质和气化器操作条件的那种。系统模型在实际工厂收集的实验数据的基础上验证,并与ModeFrontier(TM)软件相结合,以获得主要操作参数的最佳选择。

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