Renewable-based integrated energy system (IES) is considered a viable energy supply alternative in many off-grid and remote regions of the world. However, high costs of islanded IESs with large-size batteries challenge further deployments of IESs. Considering the variable nature of renewable energy and distinctive characteristics of abundant biomass energy in remote regions, this article proposes a distributed solar-biogas residential IES, which can supply thermal, electrical and gas loads in remote locations, and utilize the complementarity nature of solar and biogas energy for reducing the dependency of IES on battery storage system. The proposed IES planning model, formulated as a two-stage MILP problem, is solved by the Benders Decomposition (BD) method to determine the optimal capacity of each component in IES planning. According to the proposed sensitivity analyses, load levels and feedstock prices have a substantial influence on investment decisions and total cost. The article also incorporates the thermodynamic effect of temperature on anaerobic digestions and illustrates the complementary economic and technical merits of solar and biogas energy in daily IES operations. Illustrative examples show the corresponding IES advantages on investment cost reduction and peak load shaving.

中文翻译：

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具有太阳能-沼气能源供应的孤岛综合能源系统的优化规划

基于可再生能源的综合能源系统（IES）在世界上许多离网和偏远地区被认为是可行的能源供应替代方案。然而，带有大电池的孤岛IES的高成本挑战了IES的进一步部署。考虑到可再生能源的可变性和偏远地区丰富的生物质能的独特特征，本文提出了一种分布式太阳能沼气住宅IES，它可以在偏远地区提供热，电和气负荷，并利用太阳能和太阳能的互补性。沼气能源，以减少IES对电池存储系统的依赖性。通过Benders分解（BD）方法解决了提议的IES计划模型，该模型被公式化为两阶段的MILP问题，以确定IES计划中每个组件的最佳容量。根据拟议的敏感性分析，负荷水平和原料价格对投资决策和总成本有重大影响。本文还结合了温度对厌氧消化的热力学影响，并说明了IES日常运行中太阳能和沼气能源的互补经济和技术优势。示例说明了IES在降低投资成本和减少峰值负载方面的优势。