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• W3164730494 abstract "This study investigates circular business models for converting waste-to-energy based on the anchoring dynamics between the sugar and alcohol plants and other biomass suppliers in the agro-industrial symbiosis network. The research design includes the qualitative and quantitative assessments of biomasses by mesoregion, the calculation of the corresponding electrical potential, and the identification and categorization of circular business models for waste-to-energy. The results show different feedstocks potential, going towards using multiple organic wastes involving different sectors. The quantitative result indicates that the State of São Paulo can generate 1694.7 MW using regional waste streams. In a comparative analysis among biomass types, vinasse represents the most significant potential to generate electricity, which corresponds to 595.0 MW. This study contributes to the waste-to-energy literature by exploring the nexus with circular business models that still lack. We proposed two types of circular business models, centralised and distributed anaerobic digestion, with six potential anaerobic digestion hubs for generating electricity. The study contributes to understanding the anchoring dynamics, exploring the different anchoring roles of the power plants, particularly the physical anchor, institutional anchor, and upcycling tenants. This study also explores industrial symbiosis as a source development process, promoting technological innovation and collaborative exchange. Contributing to the previous studies about WtE, this research uses multiple organic wastes involving different sectors from the perspective of the circular business model for the sugar-energy sector considering industrial symbiosis and anchoring dynamics." @default.
• W3164730494 created "2021-06-07" @default.
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• W3164730494 date "2021-08-01" @default.
• W3164730494 modified "2023-10-16" @default.
• W3164730494 title "Circular business models for bioelectricity: A value perspective for sugar-energy sector in Brazil" @default.
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• W3164730494 doi "https://doi.org/10.1016/j.jclepro.2021.127615" @default.
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