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1 |
Biomass waste-to-energy supply chain optimization with mobile production modules
بهینه سازی زنجیره تامین زباله به انرژی زیست توده با ماژول های تولید تلفن همراه-2021 Biomass waste is a naturally occurring agricultural byproduct. It is estimated that about 60 million tons
per year can be extracted sustainably without altering land use patterns or competing with existing demands. Utilizing this waste is logistically challenging due to the inherent low density and distributed
availability of biomass. This work proposes a supply chain optimization problem which decides where to
locate and relocate mobile and modular production units to convert biomass waste to energy. Both deterministic and two-stage stochastic formulations are presented, accounting for the inherent uncertainty of
where and how much biomass is produced. The framework is applied to case studies analyzing the states
of Minnesota and North Carolina. Results from both states show that mobile production modules lead to
supply chain cost savings of 1–4%, or millions of dollars per year. Additionally, this work demonstrates
the benefit of mobile modules as a means of protecting against uncertainty. Keywords: Modular manufacturing | Distributed supply chain | Biomass waste-to-energy | Circular economy | Stochastic programming |
مقاله انگلیسی |
2 |
Prediction of greenhouse gas emissions from Ontario’s solid waste landfills using fuzzy logic based model
پیش بینی انتشار گازهای گلخانه ای از محل های دفع زباله جامد انتاریو با استفاده از مدل مبتنی بر منطق فازی-2020 In this study, multi-criteria assessment technique is used to predict the methane generation from large
municipal solid waste landfills in Ontario, Canada. Although a number of properties determine the gas
generation from landfills, these parameters are linked with empirical relationships making it difficult
to generate precise information concerning gas production. Moreover, available landfill data involve
sources of uncertainty and are mostly insufficient. To fully characterize the chemistry of reaction and predict
gas generation volumes from landfills, a fuzzy-based model is proposed having seven input parameters.
Parameters were identified in a linguistic form and linked by 19 IF-THEN statements. When
compared to measured values, results of the fuzzy based model showed good prediction of landfill gas
generation rates. Also, when compared to other first order decay and second order decay models like
LandGEM, the fuzzy based model showed better results. When plotting the LandGEM and Fuzzy model
values to the actual measured data, the fuzzy model resulted in a better fit to actual data than the
LandGEM model with a coefficient of determination R2 of 0.951 for fuzzy model versus 0.804 for
LandGEM model. The results show how multi-criteria assessment technique can be used in modelling
of complicated processes that take place within the landfills and somehow accurately predicting the
landfill gas generation rate under different operating conditions Keywords: Municipal solid waste | Landfill gas | Life-cycle assessment | Waste to energy | Greenhouse gas emissions | Fuzzy model |
مقاله انگلیسی |
3 |
Environmental impact assessment of waste to energy projects in developing countries: General guidelines in the context of Bangladesh
ارزیابی اثرات زیست محیطی زباله به پروژه های انرژی در کشورهای در حال توسعه: دستورالعمل های کلی در زمینه بنگلادش-2020 Generating energy from waste is an evolving phenomenon nowadays in most parts of the world. The establishment
of Waste to Energy (WtE) generation plants using appropriate technologies is increasing both in developed
and developing countries as one of the sustainable options for waste management. However, there is a
lack of guidelines of assessing environmental impacts of such projects, particularly in developing countries. This
paper is an attempt to deliver general guidelines for conducting an Environmental Impact Assessment (EIA) of
WtE generation projects in the context of Bangladesh. Based on secondary information, this paper draws attention
to environmental impact issues that can be relevant to the construction and operation of WtE projects.
These issues include air quality, water quality, disturbance of terrestrial habitat, human health, emission of
greenhouse gases (GHGs) and other pollutants, impacts on local community, land use, and visual disturbance.
This paper also suggests mitigation measures to address the potential significant impacts in addition to key
elements in the development of an Environmental Management Plan (EMP) that includes a monitoring program.
Finally, recommendations are made on how to successfully undertake the EIA. Keywords: EIA guideline | Waste management | Sustainable development | Renewable energy | Bangladesh |
مقاله انگلیسی |