1. Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport
- Author
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Edward O’Dwyer, Hong-Cheng Wang, Nilay Shah, Kehua Chen, Miao Guo, Aijie Wang, Engineering and Physical Sciences Research Council, and Engineering & Physical Science Research Council (EPSRC)
- Subjects
Computer science ,General Chemical Engineering ,Population ,0904 Chemical Engineering ,02 engineering and technology ,Wastewater ,010402 general chemistry ,01 natural sciences ,0905 Civil Engineering ,Industrial and Manufacturing Engineering ,Urbanization ,FOS: Mathematics ,Environmental Chemistry ,Optimisation ,education ,Resource supply ,Mathematics - Optimization and Control ,Resource recovery ,education.field_of_study ,Global challenges ,General Chemistry ,Chemical Engineering ,Environmental economics ,021001 nanoscience & nanotechnology ,Eco-industrial park ,0104 chemical sciences ,Waste generation ,0907 Environmental Engineering ,Optimization and Control (math.OC) ,Key (cryptography) ,Sewage treatment ,0210 nano-technology ,Resource-circular economy - Abstract
The expanding population and rapid urbanisation, in particular in the Global South, are leading to global challenges on resource supply stress and rising waste generation. A transformation to resource-circular systems and sustainable recovery of carbon-containing and nutrient-rich waste offers a way to tackle such challenges. Eco-industrial parks have the potential to capture symbioses across individual waste producers, leading to more effective waste-recovery schemes. With whole-system design, economically attractive approaches can be achieved, reducing the nvironmental impacts while increasing the recovery of high-value resources. In this paper, an optimisation framework is developed to enable such design, allowing for wide ranging treatment options to be considered capturing both technological and fnancial detail. As well as technology selection, the framework also accounts for spatial aspects, with the design of suitable transport networks playing a key role. A range of scenarios are investigated using the network, highlighting the multi-faceted nature of the problem. The need to incorporate the impact of resource recovery at the design stage is shown to be of particular importance., Comment: 31 pages, 13 figures
- Published
- 2020
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