Process model for waste heat recovery of incineration based on Rankine cycle

This study aims to determine the feasibility of using the MATLAB Simulink to model the performance of a typical incineration plant that houses a steam-generation unit for power generation. Commercially, the steam generation operation of typical Waste-to-Energy (WtE) incineration plant is derived fro...

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Main Author: Hong, Qi Qiang
Other Authors: Law Wing-Keung, Adrian
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77949
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-779492023-03-03T17:14:07Z Process model for waste heat recovery of incineration based on Rankine cycle Hong, Qi Qiang Law Wing-Keung, Adrian School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Adrian Lai DRNTU::Engineering::Environmental engineering This study aims to determine the feasibility of using the MATLAB Simulink to model the performance of a typical incineration plant that houses a steam-generation unit for power generation. Commercially, the steam generation operation of typical Waste-to-Energy (WtE) incineration plant is derived from the basic Rankine cycle. Rankine cycle is an idealized thermodynamic process, and the commercial steam generation process follows a more advanced and energy efficient form of Rankine cycle. The examples include the Organic Rankine cycle. The basis of this project is to attempt to model an ideal Rankine cycle of the incineration plant, and to determine the projected enthalpy at various stages of the process as well as to determine the eventual efficiency of the Rankine cycle. The attempted model was made to emulate a specific Rankine cycle, and it was able to predict the parameters and efficiency at steady stat Bachelor of Engineering (Environmental Engineering) 2019-06-10T05:26:34Z 2019-06-10T05:26:34Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77949 en Nanyang Technological University 36 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Environmental engineering
spellingShingle DRNTU::Engineering::Environmental engineering
Hong, Qi Qiang
Process model for waste heat recovery of incineration based on Rankine cycle
description This study aims to determine the feasibility of using the MATLAB Simulink to model the performance of a typical incineration plant that houses a steam-generation unit for power generation. Commercially, the steam generation operation of typical Waste-to-Energy (WtE) incineration plant is derived from the basic Rankine cycle. Rankine cycle is an idealized thermodynamic process, and the commercial steam generation process follows a more advanced and energy efficient form of Rankine cycle. The examples include the Organic Rankine cycle. The basis of this project is to attempt to model an ideal Rankine cycle of the incineration plant, and to determine the projected enthalpy at various stages of the process as well as to determine the eventual efficiency of the Rankine cycle. The attempted model was made to emulate a specific Rankine cycle, and it was able to predict the parameters and efficiency at steady stat
author2 Law Wing-Keung, Adrian
author_facet Law Wing-Keung, Adrian
Hong, Qi Qiang
format Final Year Project
author Hong, Qi Qiang
author_sort Hong, Qi Qiang
title Process model for waste heat recovery of incineration based on Rankine cycle
title_short Process model for waste heat recovery of incineration based on Rankine cycle
title_full Process model for waste heat recovery of incineration based on Rankine cycle
title_fullStr Process model for waste heat recovery of incineration based on Rankine cycle
title_full_unstemmed Process model for waste heat recovery of incineration based on Rankine cycle
title_sort process model for waste heat recovery of incineration based on rankine cycle
publishDate 2019
url http://hdl.handle.net/10356/77949
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