The DSSdevelopment and application demonstration comprises 6 tasks:

  • T6.1 Development of treatmentsolutions search domain: A database of the technologies available in the international literature,Indo-UK market, tested innovations and approaches developed in WP5 will be assembled. Theconventional centralised treatment train comprises of preliminary, primary, secondary and tertiarystage and each stage can be delivered by a range of technologies. The database will have 6structured sections to accommodate treatment technologies for conventional pollutants, ECs,nutrient recovery, energy recovery, sludge processing and deployment as decentralised packagedsystems. For each technology, the database will be populated with respective sustainabilityindicators (e.g. cost, land and energy requirements, treatment efficiency for specific pollutants(including ECs), ease of operation and construction/installation, carbon emissions, etc.). The dataon these attributes will be collected using a consistent framework;
  • T6.2Development of the userinterface:This will be developed using off the shelf applications with a primary focus to allow usersto input necessary information to run the DSS. Through the user interface the end users will beable to input the context/scenario information (e.g. volume of and characteristics of wastewaterincluding ECs loads, wastewater generation profile, intended end use), select optimization constraints and objectives, assign weights and select/deselect different criteria for sustainabilityevaluation and decide the solution generation/optimisation method;
  • T6.3Development of optimalsolutions generator – This will be done through the development of a computational code thatintegrates the Database and the User Interface and couples them with an optimization engine/solver. In order to achieve time efficient computation, we will explore the application of theHyper Volume [8] technique, in addition to our in-house developed, globally used, Excel basedoptimiserGAnetXL [9], to efficiently solve complex multi-objective optimisation problems.
  • T6.4Development of Analyser: This would facilitate visualisation of each DSS identified solution’sperformance and trade-offs w.r.t. sustainability evaluation criteria and will include a range of datapresentation and synthesis options including web diagrams and bar charts for the solutions basedon optimisation and multi-criteria decision analysis technique Topsis.
  • T6.5DSS application anddemonstration – This will include construction of scenarios relevant to Indian and UK contexts anddemonstrate the application of these in DSS to identify context specific optimal solutions.