This contribution presents a developed generic mixed integer linear programming (MILP) model for optimizing biogas supply network to generate electricity over monthly time-periods by maximizing the economic performance. Dry matter content and methane yield for each feedstock are included, which more accurately represents a realistic network. The model is applied to an illustrative case study of an agricultural biogas production plant in Slovenia. Optimal results show poultry manure and bedding and corn silage as the selected feedstocks to meet the production of 999 kW of electricity. Technologies selected include anaerobic digester, press-based dewatering and combined heat and power plant (CHP), while water, and heat required for the anaerobic digestion plant itself are “recycled”. A profit after tax of about 254,625 $/y is obtained. Furthermore, sensitivity analysis in terms of prices of electricity and digestate, dry matter content and utilization of crop residues is performed.

该贡献提出了一种开发的通用混合整数线性规划（MILP）模型，该模型用于优化沼气供应网络，以通过最大限度地提高经济效益来在每月的时间段内发电。每种原料的干物质含量和甲烷产率都包括在内，这更准确地代表了一个现实的网络。该模型被用于斯洛文尼亚一家农业沼气生产厂的说明性案例研究。最佳结果显示，家禽粪便，被褥和玉米青贮饲料是满足999 kW电力生产的选定原料。选定的技术包括厌氧消化池，基于压力的脱水以及热电联产厂（CHP），而厌氧消化厂本身所需的水和热量则被“回收”。获得的税后利润约为254,625美元/年。此外，