The Knowledge Engineering Review
Environmental Modelling & Software
Dynamic Configurable Auctions for Coordinating Industrial Waste Discharges
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Environmental Modelling & Software
Multi-criteria analysis of wastewater treatment plant design and control scenarios under uncertainty
Environmental Modelling & Software
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section: Extended Version of SASO 2011 Best Paper
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Environmental Modelling & Software
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This article proposes the use of an auction process in which the capacity of a WasteWater Treatment Plant (WWTP) is sold to coordinate different industrial discharges within the Urban Wastewater System (UWS). The main goal of coordination is to manage the wastewater inflow rate and pollutants to improve the WWTP operation. The system is modeled as a multi-agent system where each industry is represented by an agent, another agent represents the influent coming from the domestic use and one agent represents the WWTP. When the maximum level of the flow or the maximum concentrations of some components exceed the plant's capacity, an auction starts. In the auction, the WWTP agent is the auctioneer that sells its resources and the industry agents are the bidders that want to buy the resources. The winners of the auction will discharge to the sewage system and the losers will have to wait for the next opportunity. The resulting wastewater discharge schedules of the industries have been analyzed using the IWA/COST simulation benchmark as a case study. The results obtained through this simulation protocol show that the auction-based coordination mechanism using both pollution and hydraulic capacity constraints accomplishes the goal of improving the effluent quality, achieving a reduction in the impact of industrial discharges up to 20.99%.