Exergoeconomic assessment of an energy conversion system based on energy-exergy analysis and appropriate economic principles, is essential to identify the costs of the inefficiencies both for the whole integrated system and for individual energy components. The current study contributes to an exergoeconomic analysis focusing on the steady-state performance of a biomass-fed combined heat and power (CHP) system including a two-stage auto-thermal biomass gasifier, a direct internal reforming planar solid oxide fuel cell (DIR-PSOFC) and a micro-gas turbine (mGT). A one-dimensional model of the DIR-PSOFC is used to investigate the temperature gradient within the solid structure of the fuel cell under different operating conditions. In order to assess the effect of the main system input parameters on the performance of the cogeneration system, a comprehensive parametric analysis is carried out. The results show that the highest rate of exergy destruction takes place in the gasifier with an amount of 39.23%, followed by the afterburner and the SOFC due to the highly irreversible nature of the process of these components. The system input exergy supplied by biomass is 525.7 kW, of which 53.2% is wasted in the system components and the exergy efficiency of the total CHP system is determined to be 49.72%. Furthermore, the results indicate that the highest exergy destruction cost rate is related to the afterburner with 2.39 ($⁄h). Based on the results of the sensitivity analysis, the trends of the performance parameters demonstrate some conflicts with the variation of the operating parameters, which implies the necessity of an optimization procedure. In all the operating conditions considered, the temperature difference along the cell length is kept below the maximum allowable temperature gradient, which is 150 K. Two-step multi-objective optimization has been conducted by use of non-dominated sorting genetic algorithm technique. Significant and newsworthy relationships between the optimal operating parameters and the considered design variables have been unveiled using the Pareto-based multi-objective optimization procedure.

基于能量-火用分析和适当的经济原理对能量转换系统进行火用经济评估对于确定整个集成系统和单个能源组件的低效率成本至关重要。目前的研究有助于进行能量经济分析，重点关注生物质供热热电联产（CHP）系统的稳态性能，包括两级自热生物质气化器、直接内部重整平面固体氧化物燃料电池（DIR） -PSOFC）和微型燃气轮机（mGT）。 DIR-PSOFC 的一维模型用于研究不同工作条件下燃料电池固体结构内的温度梯度。为了评估主要系统输入参数对热电联产系统性能的影响，进行了综合参数分析。结果表明，火用破坏率最高的是气化炉，为39.23%，其次是加力燃烧器和SOFC，因为这些部件的过程具有高度不可逆性。由生物质提供的系统输入火用为525.7 kW，其中53.2%浪费在系统部件中，确定整个热电联产系统的火用效率为49.72%。此外，结果表明最高的火用破坏成本率与加力燃烧室相关，为 2.39（$⁄h）。根据敏感性分析的结果，性能参数的趋势表明与操作参数的变化存在一些冲突，这意味着优化过程的必要性。在考虑的所有操作条件下，沿池长度的温差保持在最大允许温度梯度（150 K）以下。利用非支配排序遗传算法技术进行了两步多目标优化。使用基于帕累托的多目标优化程序揭示了最佳操作参数和所考虑的设计变量之间的重要且具有新闻价值的关系。