Environmental life cycle assessment of different biorefinery platforms valorizing municipal solid waste to bioenergy, microbial protein, lactic and succinic acid

作者: Benyamin Khoshnevisan , Meisam Tabatabaei , Panagiotis Tsapekos , Shahin Rafiee , Mortaza Aghbashlo

DOI: 10.1016/J.RSER.2019.109493

关键词: Life-cycle assessmentEnergy sourceBiorefineryBiorefiningWaste managementBiogasBioproductsSustainabilityBioenergyEnvironmental scienceRenewable Energy, Sustainability and the Environment

摘要: Abstract The progressive exhaustion of fossil energy resources and the environmental problems provoked by excessive use these have driven us to transit from a fuel dependent economy more bio-based economy. In this regard, exploiting organic fraction municipal solid waste (OFMSW) for producing high value bioproducts bioenergy under biorefinery approach has attracted great interest. This paper presents state art urban biowaste concepts. Accordingly, different novel valorization pathways, namely single cell protein, biosuccinic acid, lactic as well production were consolidated into some scenarios. Moreover, successfully tested hydrogen-assisted biological biogas upgrading was also incorporated scenarios source methanotrophs upcycle nitrogen rich digestate protein. Upon successful lab-scale experiments, platforms developed their sustainability environmentally scrutinized using consequential life cycle assessment. results obtained herein demonstrated that despite having net benefits, all eco-friendly solutions valorizing bioenergy. Scenarios including microbial protein led saving −58 −147 kg CO2,eq/t biopulp in Climate change category, depending on biorefining pathway. category achieved Succinic acid- Lactic acid-based estimated at −73 −173 kg biopulp, respectively. Biological upgrading, if implemented, could increase payback 9724 MJ/t contribute other Although with main focus outperformed others terms sustainability, complementary factors such policy decisions, directives, economic issues, carbon trade schemes must be taken account order introduce best

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