Wastewater systems are transitioning towards integrative process systems to recover multiple resources whilst simultaneously satisfying regulations on final effluent quality. This work contributes to the literature by bringing a systems-thinking approach to resource recovery from wastewater, harnessing surrogate modelling and mathematical optimisation techniques to highlight holistic process systems. A surrogate-based process synthesis methodology was presented to harness high-fidelity data from black box process simulations, embedding first principles models, within a superstructure optimisation framework. Modelling tools were developed to facilitate tailored derivative-free optimisation solutions widely applicable to black box optimisation problems. The optimisation of a process system to recover energy and nutrients from a brewery wastewater reveals significant scope to reduce the environmental impacts of food and beverage production systems. Additionally, the application demonstrates the capabilities of the modelling methodology to highlight optimal processes to recover carbon, nitrogen, and phosphorous resources whilst also accounting for uncertainties inherent to wastewater systems.

废水系统正在向综合处理系统过渡，以回收多种资源，同时满足最终废水质量的法规。这项工作通过引入系统思维方法从废水中回收资源，利用替代模型和数学优化技术来突出整体过程系统，从而为文献做出了贡献。提出了一种基于替代的过程综合方法，以利用来自黑盒过程模拟的高保真数据，在上层建筑优化框架内嵌入第一原理模型。开发建模工具是为了促进定制的无导数优化解决方案，广泛适用于黑盒优化问题。从啤酒废水中回收能量和营养物质的工艺系统的优化揭示了减少食品和饮料生产系统对环境影响的巨大空间。此外，该应用程序还展示了建模方法的能力，可以突出回收碳、氮和磷资源的最佳过程，同时还考虑废水系统固有的不确定性。