A key practice to achieving sustainability of societal development is the efficient use of material and energy resources. This allows to simultaneously minimise the use of fresh resources and pollution, while pollution remediation actions are also enabled and made easier. For achieving this, the industrial and urban market actors of a given region can act together, in symbiotic network. The functionality of the network is to implement the principles of Circular Economy – effecting the “reduce-reuse-recycle” hierarchy and its conceptual extensions. This builds on the ideas for Locally-Integrated Energy Sectors for energy recovery and Industrial Symbiosis for the recovery and reuse of material streams among industrial actors.
However, all processes require energy and fresh resources to be driven – those belonging to the linear pattern as well as to the circular pattern implementing the symbiosis. This creates a trade-off between the material circularity rate with system requirements for energy and fresh resources. Since energy is converted between different forms, mainly delivered as heating, cooling and power, the exergy concept is selected as the unifying indicator for representing the intrinsic linkage between material and energy resources. This allows to take into account of the resources’ quality – temperature, pressure and chemical compositions. This work aims evaluate the trade-off aiming to minimise the exergy input and the footprints by varying the circularity rate. The expected results could determine the maximum beneficial degree of internal resource recovery. The obtained targets and clusters of streams to be recycled can be used in follow-up work for formulating the symbiosis network synthesis problem that provides detailed network and size optimisation of the operating units Process Synthesis and Process Optimisation. The criteria to use in the optimal network design include the economical (cost) and environmental footprints, exploiting the circularity as a degree of freedom.
Keywords: Resource Integration, Resource Recovery, Industrial Symbiosis, Urban Symbiosis, Targeting, Network Optimisation
|Publication||Without publication of the article|
|Affiliation of speaker||Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic|