This paper proposes a novel framework for synthesis, design and innovation of sustainable integrated processes that combines water, energy, waste treatment and carbon capture, utilization and storage (CCUS) networks together with the overall objective to minimize CO₂ emissions and wastes under uncertainty. Compared to the earlier deterministic method (Li et al., 2020), uncertainty of parameters, CCUS as well as extended models for the process, water and energy networks have been systematically addressed in this work. The applicability of the extended method is demonstrated through a case study that considers the xylitol production process together with water, energy and CCUS networks under uncertain raw material prices, product prices and demands. The results show that the multi-network synthesis and design method is able to determine the optimal solution with high economic benefits and zero or low CO₂ emissions under uncertainty for different scenarios.

本文提出了一种用于合成、设计和创新可持续综合过程的新框架，该框架将水、能源、废物处理和碳捕获、利用和储存 (CCUS) 网络与最大限度减少 CO ₂的总体目标相结合。不确定性下的排放和废物。与早期的确定性方法 (Li et al., 2020) 相比，这项工作已经系统地解决了参数的不确定性、CCUS 以及过程、水和能源网络的扩展模型。通过一个案例研究证明了扩展方法的适用性，该案例研究在不确定的原材料价格、产品价格和需求下考虑了木糖醇生产过程以及水、能源和 CCUS 网络。结果表明，多网络综合设计方法能够针对不同场景确定不确定性下具有高经济效益和零或低CO ₂排放的最优解。