| Title |
Multi-scale system modelling under circular bioeconomy |
| ID_Doc |
14886 |
| Authors |
Guo, M |
| Title |
Multi-scale system modelling under circular bioeconomy |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/B978-0-444-64235-6.50146-7 |
| Abstract |
Waste sector is expected to play significant roles in the evolving circular bioeconomy in the coming decades. Considerable amount of carbon-containing and nutrient-rich wastewater and organic sold waste resources are generated every year globally. In the UK, wastewater is estimated as 16 billion litre per day, which together with annual production of over 100 million tonnes of carbon-containing solid biowaste (e.g. biodegradable fraction municipal solid waste (BFMSW)), above 14 million tonnes of forestry and agricultural residues and large amount of other waste provide significant opportunities (BIS 2015). They could be converted via various routes to bioenergy or other value-added products such as bioenergy, biofuels, bio-plastics and fertilisers, which shift us to a resource-circular bioeconomy. In this study, a multi-scale system modelling approach is presented to investigate the holistic economic and environmental profiles of alternative resource recovery methods integrated into wastewater and organic waste treatment systems, and bring such sustainability criteria into the process synthesis and value chain optimisation. By introducing game theory into the multi-objective optimisation model and formulating the interactions between multi-level nodes involved in the supply chain, our modelling toolkit offers the functionality to account for both macro-level economy performances and micro-level individual stakeholder benefits. The modelling methodology has been applied to two case studies - wastewater and lignocellulosic waste resource recovery. Our results suggest that ion exchange is a promising technology showing high nitrogen and phosphorus removal and recovery efficiency from municipal wastewater and delivering competitive sustainability scores; whereas the integrated thermochemical and biochemical routes are favourable options for lignocellulosic resources. Current study also demonstrates such multi-scale modelling toolkit can support decision-making on optimal or equilibrium solutions for the waste bioconversion process design and waste recovery supply chain strategy at temporal-spatial scales, which are the key elements in building a sustainable circular economy. |
| Author Keywords |
Waste resource recovery; process design; sustainability; optimisation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000441374200146 |
| WoS Category |
Engineering, Environmental; Engineering, Chemical |
| Research Area |
Engineering |
| PDF |
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