Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162877
Title: Multi-objective analysis and optimization of cascade supercritical CO₂ cycle and organic Rankine cycle systems for waste-to-energy power plant
Authors: Pan, Mingzhang
Chen, Xiaoting
Li, Xiaoya
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Pan, M., Chen, X. & Li, X. (2022). Multi-objective analysis and optimization of cascade supercritical CO₂ cycle and organic Rankine cycle systems for waste-to-energy power plant. Applied Thermal Engineering, 214, 118882-. https://dx.doi.org/10.1016/j.applthermaleng.2022.118882
Journal: Applied Thermal Engineering
Abstract: Waste-to-energy conversion technologies have been attracted extensive attentions due to the promising contribution not only to the municipal waste disposal but also to the electricity generation. Targeted at improving the energy conversion efficiency, this paper proposes a reheat, recompression and pressurized intercooling supercritical CO2 cycle/organic Rankine cycle system for waste incineration energy recovery. A comprehensive evaluation of the proposed system was carried out, including detailed energy, exergy, economic and environmental analyses, which leads to a follow-up multi-objective optimization. The results show that by adopting the proposed system, the energy efficiency, exergy efficiency and ecological efficiency were increased to 41.22%, 66.91% and 84.54%, respectively, while the dynamic payback period was reduced from 6.00 years to 1.11 years. Therefore, the proposed waste-to-energy power plant outperforms thermodynamically, economically and environmentally, which can be a competitive candidate in the reform of waste-to-energy incineration power plant.
URI: https://hdl.handle.net/10356/162877
ISSN: 1359-4311
DOI: 10.1016/j.applthermaleng.2022.118882
Rights: © 2022 Elsevier Ltd. All rights reserved. This paper was published in Applied Thermal Engineering and is made available with permission of Elsevier Ltd.
Fulltext Permission: embargo_20241007
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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