Unknown

Dataset Information

Development of a dynamic optimization framework for waste management systems.


ABSTRACT: Waste to energy (WTE) technologies have emerged as an alternative solution to municipal solid waste management. WTE systems provide major environmental and economic benefits by converting waste into accessible energy, as part of an integrated solid waste management (ISWM) strategy. However, previous studies showed that establishing an ISWM strategy based on a single type of WTE systems does not necessarily realize maximum benefits. Hence, optimizing the selection of WTE systems as part of a hybrid waste management strategy can potentially achieve maximum benefits and minimize negative impacts. However, such task is challenging due to the various alternatives and objectives, particularly those related to the material and energy recovery systems. This article presents the methods used to dev

SUBMITTER: Abdallah M 

PROVIDER: S-EPMC8374176 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature