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<p>Water resource recovery facilities (WRRFs) face growing pressures to balance compliance, sustainability, and cost while adapting to evolving treatment needs. To support research, development, and deployment (RD&amp;D) of innovative technological solutions, we developed an open-access benchmarking framework comprised of 18 plant-wide simulation models. Implemented in QSDsan, the framework is validated against GPS-X™ simulations while capturing distinct system behaviors, treatment performance, energy demand, and operational costs across diverse designs. It offers a rigorous and transparent foundation for comparative technology evaluations, guiding RD&amp;D decision-making and advancing sustainable water management.</p>

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An agile benchmarking framework for wastewater resource recovery technologies

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月6日

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  • Xinyi Zhang,
  • Saumitra Rai,
  • Zixuan Wang,
  • Yalin Li,
  • Jeremy S. Guest

摘要

Water resource recovery facilities (WRRFs) face growing pressures to balance compliance, sustainability, and cost while adapting to evolving treatment needs. To support research, development, and deployment (RD&D) of innovative technological solutions, we developed an open-access benchmarking framework comprised of 18 plant-wide simulation models. Implemented in QSDsan, the framework is validated against GPS-X™ simulations while capturing distinct system behaviors, treatment performance, energy demand, and operational costs across diverse designs. It offers a rigorous and transparent foundation for comparative technology evaluations, guiding RD&D decision-making and advancing sustainable water management.