The number of alternative WWT technologies has grown steadily to meet increasingly stringent performance demands which increased the importance and complexity of early-stage decision making in WWTP design and retrofitting problems. Currently the conceptual design task is handled bas ed on expert decisions and previous experiences . In this contribution, we propose a new approach based on mathematical programming to manage the complexity of the problem and generate novel and optimal WWTP network designs for domestic WWT. Within this context, a superstructure concept is used to represent the alternative WWT technologies described as a series of reaction and separation tasks at different treatment levels. Each process alternative is described by a generic model and the required data for bo th performance and economics of each alternative are collected and sorted in a multi-dimensional database. This database is embedded within the mixed integer nonlinear programming problem formulated and solved in GAMS for different objective function s (e.g . total annualized costs, etc . ) and constraint definitions (e.g. effluent discharge limits) . The developed framework is highlighted using the benchmark plant as a case study to generate and screen optimal concepts for retrofitting options under different scenarios.
|Title of host publication||Proceedings for of 4th IWA/WEF Wastewater Treatment Modelling Seminar|
|Publication status||Published - 2014|
|Event||4th IWA/WEF Wastewater Treatment Modelling Seminar 2014 - Spa, Belgium|
Duration: 30 Mar 2014 → 2 Apr 2014
|Conference||4th IWA/WEF Wastewater Treatment Modelling Seminar 2014|
|Period||30/03/2014 → 02/04/2014|