Revisit building-level greywater recycle: Data-driven system control and environmental assessment

Building-level greywater recycle changes the paradigm of urban water system which can reduce fresh water/energy demand and CO2-emission. This study will critically revisit various greywater technologies fitting to different purposes i.e. flushing, cooling or drinking; and then evaluate the lifecycle environmental impacts; and further develop data-driven analytical tools (XGboost machine learning) for designing/operating the integrated water supply and reuse system.