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نتیجه جستجو - زباله به انرژی

تعداد مقالات یافته شده: 6
ردیف عنوان نوع
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 Optimal process design for integrated municipal waste management with energy recovery in Argentina
طراحی فرآیند بهینه برای مدیریت یکپارچه زباله شهری با بازیابی انرژی در آرژانتین-2020
This work presents a comprehensive mathematical model for the optimal selection of municipal waste treatment alternatives, accounting for co-digestion of sludge and municipal solid waste. The superstructure of alternatives includes anaerobic digestion under mesophilic or thermophilic conditions, composting, recycling, and final disposal in a landfill. Anaerobic digesters can be fed with different mixing ratios of sewage sludge (SS) and the organic fraction of municipal solid waste (OF). A mixedinteger mathematical programming formulation is proposed to find the optimal process design. It comprises nonlinear equations to estimate digestion yields according to substrate mixing ratios. Results for cities of different sizes show that the joint treatment can increase profitability, especially in small populations. In all cases, co-digestion of the full stream of SS and OF leads to an integrated waste-toenergy process that maximizes the economic value and reduces environmental impacts of waste by producing electricity, heat and fertilizer.
Keywords: Co-digestion | Waste-to-Energy | Optimization | Superstructure | Process design
مقاله انگلیسی
3 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
4 Industry 4:0 based process data analytics platform: A waste-to-energy plant case study
پلت فرم تجزیه و تحلیل داده های مبتنی بر فرآیند صنعت 4:0: مطالعه موردی از گیاهان زباله به انرژی-2020
Industry 4.0 and Industrial Internet of Things (IIoT) technologies are rapidly fueling data and software solutions driven digitalization in many fields notably in industrial automation and manufacturing systems. Among the several benefits offered by these technologies, is the infrastructure for harnessing big-data, machine learning (ML) and cloud computing software tools, for instance in designing advanced data analytics platforms. Although, this is an area of increased interest, the information concerning the implementation of data analytics in the context of Industry 4.0 is scarcely available in scientific literature. Therefore, this work presents a process data analytics platform built around the concept of industry 4.0. The platform utilizes the state-of-the-art IIoT platforms, ML algorithms and big-data software tools. The platform emphasizes the use of ML methods for process data analytics while leveraging big-data processing tools and taking advantage of the currently available industrial grade cloud computing platforms. The industrial applicability of the platform was demonstrated by the development of soft sensors for use in a waste-to-energy (WTE) plant. In the case study, the work studied datadriven soft sensors to predict syngas heating value and hot flue gas temperature. Among the studied data-driven methods, the neural network-based NARX model demonstrated better performance in the prediction of both syngas heating value and flue gas temperature. The modeling results showed that, in cases where process knowledge about the process phenomena at hand is limited, data-driven soft sensors are useful tools for predictive data analytics.
Keywords: Data analytics platform | Industrial internet of things platform | Machine learning | Waste-to-energy | Soft sensor
مقاله انگلیسی
5 The challenges of tourism to waste-to-energy public-private partnerships
چالش های گردشگری برای مشارکت دولتی و خصوصی از بین بردن انرژی-2017
The use of municipal solid waste (MSW) for energy generation is an important paradigm shift in municipal solid waste management (MSWM). The concept of waste-to-energy (WTE) is consistent with the basic principles of waste hierarchy set by the European Commission in environmental agenda. WTE became an effective response in small-island which usually rely on tourism for economic development. Many WTE power plants have been developed through PPP arrangements; however, little attention has been paid in the academic literature to the impact of tourism to WTE utilities performance. This paper analyzes the influence of tourism to a waste-to-energy public-private partnership (WTE PPP) through the case study of Mallorca, an internationally renowned summer seaside destination. The analysis of Mallorcas experience shows that tourism strongly influences management costs of WTE facilities and PPP contracts still needs to adapt the tariff system to promote better performance of the public service.
Keywords: Mallorca | Public-private partnership | Waste-to-energy | Mature tourist destination
مقاله انگلیسی
6 Assessment of environmental and economic performance of Waste-to-Energy facilities in Thai cities
ارزیابی عملکرد محیطی و اقتصادی تسهیلات زباله به انرژی در شهرستانهای تایلند-2016
Waste-to-Energy (WtE) technologies seem to be an option to tackle the growing waste management problems in developing Asia. This paper presents a quantitative assessment of the environmental and economic attributes of two major WtE technologies: landfill gas to energy (LFG-to-energy) and incin- eration in Thai cities. Net greenhouse gas (GHG) emissions, net fossil resource consumption and net life- cycle cost (LCC) were used as the basic indicators for measuring performance of these two technologies from a life cycle perspective. The assessment found that at the current efficiency level, both the LFG-to- energy project and the incineration facility contribute to GHG mitigation and fossil resource savings as compared to the Business as Usual (BAU) practice. However, the financial returns from these operations are very low and insufficient to compensate the costs. The paper argues that substantial improvements of WtE plants can be made by adopting proper management practices, enhancing the efficiencies of energy production. Such upgrading would further reduce GHG emissions, increase fossil resource savings and strengthen the financial performance to the benefit of local governments. The authors recognize the potential of incorporating other treatment options along with WtE technologies, for moving towards more sustainable waste management approaches like integrated waste management systems.© 2015 Elsevier Ltd. All rights reserved.
Keywords: Municipal Solid Waste | MSW | Waste-to-Energy | WtE | Life Cycle Assessment | LCA | Asia | Thailand
مقاله انگلیسی
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