ABSTRACTDespite exceeding 2 billion units annually, the management of waste tires remains a global challenge. Pyrolysis, a thermochemical conversion process, offers a potential waste-to-energy solution with valuable b...
详细信息
ABSTRACTDespite exceeding 2 billion units annually, the management of waste tires remains a global challenge. Pyrolysis, a thermochemical conversion process, offers a potential waste-to-energy solution with valuable byproducts. However, concerns regarding its environmental sustainability, particularly emissions associated with sulfur content, persist. The aim of this study is to evaluate the environmental impacts of a large-scale pyrolysis reactor processing waste tires using life cycle assessment (LCA) as an environmental impact tool. In this study, using heating fuel oil (HFO) and non-condensable gas (NCG) as heating methods, two pyrolysis scenarios were investigated in terms of their environmental performance. The LCA identified abiotic depletion and acidification as key environmental concerns. The HFO scenario has shown a 15% greater impact on abiotic depletion and a 78% greater impact on acidification compared to the NCG scenario. This difference has been attributed to the higher sulfur content in HFO. Nevertheless, both pyrolysis scenarios have shown positive environmental benefits regarding marine and freshwater ecotoxicity compared to conventional alternatives. These findings support the potential of pyrolysis for sustainable waste tire management while highlighting the need for further optimization to minimize sulfur-related emissions. The findings of this study can be used as a roadmap towards adapting clean technologies such as pyrolysis as a waste management strategy for policymakers by applying holistic system boundaries and regulated pyrolysis production.
The dimensional instability of vegetable fibers due to hygroscopicity results in a gradual loss of adherence in cement based composites which, when in service, are submitted to a natural variation of humidity. Such an...
详细信息
The haircut art community is a community that is interested in the art of hair or hair-related issues and information. This haircut art community has several members, but they need the application of technology to sup...
详细信息
This paper presents a topology based on the interconnection of single-phase H-bridge converters and a three-phase converter acting as a shunt active power filter. Contributions for the model, PWM approach and control ...
详细信息
This paper presents results of an automatic analysis of text contributions made by students in asynchronous discussions. The study was carried with the Minera Fórum software. Data collected with the program were ...
详细信息
ISBN:
(纸本)9789898565068
This paper presents results of an automatic analysis of text contributions made by students in asynchronous discussions. The study was carried with the Minera Fórum software. Data collected with the program were compared to appraisals made by teachers. Results show that the average of the analyses of posts made MineraFórum is similar to the average obtained in the analyses made by teachers.
To emulate human emotions in robots, the mathematical representation of emotion is important for each component of affective computing, such as emotion recognition, generation, and expression. In a method that learns ...
详细信息
Traffic is one of the key issues in highly populated countries like India. There are many research works going on in the areas of the travel and transportation sector. These sectors having challenges such as traffic m...
详细信息
Traffic is one of the key issues in highly populated countries like India. There are many research works going on in the areas of the travel and transportation sector. These sectors having challenges such as traffic monitoring, routing assistance, personalized driving. Nowadays, smart city is one of the Government mission which includes traffic management, crowd management etc. In the recent past, there are many cities received funds from the government of India under the smart city scheme. In this paper, the vehicle data aggregation process is proposed using deep Convolution Neural Network (CNN) particularly, in and around the areas of Madurai city, Tamilnadu, India. The purpose of the location chosen is Madurai city also received funds under a smart city scheme from Indian government. There are certain works are already going on in Madurai city under the smart city project. The real-time traffic video capturing used to raspberry pi B modules camera. To support further into the work, a data aggregation technique is proposed in this work to create a vehicle dataset for the Madurai city to help traffic management, driver assistance, and routing guidance through automation system. In this work, the CNN algorithm detected the different vehicles with 92.9% accuracy. This will be compared with region based CNN algorithm, which detected with 96.4% accurately. Hence it is proven that the region based CNN performs better in vehicle detection. The vehicle data are tabulated from some of the sample videos captured in and around Madurai highways using CNN through MATLAB.
The web continues to grow and attacks against the web continue to increase. This paper focuses on the literature review on scanning web vulnerabilities and solutions to mitigate web attacks. Vulnerability scanning met...
详细信息
Speed and simplicity in the process of finding documents and information have become a necessity in the campus library. The speed in finding a skripsi document that is currently still very long to find the data and mo...
详细信息
Nowadays The Industrial Revolution 4.0 is identified by the growing implementation of technology in every business, one of the technologies it called Artificial Intelligence (AI). AI gives a solution for a company to ...
详细信息
暂无评论