Marek Jadlovec , Stanislav Honus , Lucie Jezerská , Petr Pavlík , Veronika Sassmanová , Veronika Sýkorová , Jan Výtisk
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引用次数: 0
Abstract
This study explored the potential of using sewage sludge (SS) and polyethylene (PE) waste as alternative fuels within a circular economy framework. SS, characterized by a high-water content and the presence of heavy metals, and PE, a byproduct of the automotive industry with a high calorific value, were pelletized and co-incinerated in a fluidized bed combustor. The primary objective of this study was to assess the energy recovery potential and environmental impact of these materials individually and in a 1:1 blend. Life cycle assessment (LCA) methodology was employed to evaluate the environmental footprint, focusing on pollutant emissions and energy consumption during incineration. The results indicated that the co-incineration of SS and PE significantly increased the low heating value of the fuel, enhancing its competitiveness as an energy source. However, this process also led to a notable increase in pollutant emissions, particularly NOx and SO2. Despite these challenges, this study demonstrates the feasibility of developing a sustainable alternative fuel from SS and PE, contributing to waste reduction and energy recovery in line with circular economic principles.
期刊介绍:
Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas.
As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.