Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150648
Title: Sustainability and thermoenvironmental indicators on the multiobjective optimization of the liquefied natural gas fired micro-cogeneration systems
Authors: Kanbur, Baris Burak
Xiang, Liming
Dubey, Swapnil
Choo, Fook Hoong
Duan, Fei
Keywords: Engineering::Chemical engineering
Issue Date: 2019
Source: Kanbur, B. B., Xiang, L., Dubey, S., Choo, F. H. & Duan, F. (2019). Sustainability and thermoenvironmental indicators on the multiobjective optimization of the liquefied natural gas fired micro-cogeneration systems. Chemical Engineering Science, 202, 429-446. https://dx.doi.org/10.1016/j.ces.2019.03.024
Project: NRF2013EWT-EIRP001-017
Journal: Chemical Engineering Science
Abstract: Liquefied natural gas (LNG), a clean fuel type mainly containing methane, has been becoming more popular amongst the other fuels for the power generation systems. Although there are a lot of thermodynamic and thermoeconomic assessments about the LNG fired power generation systems, the environmental and sustainability aspects have still lack investigation, especially on the optimization step. To minimize this gap, a multiobjective optimization study is performed for the LNG fired micro-cogeneration system. The current study considers various objective functions from thermodynamic, environmental, thermoeconomic, and sustainability aspects. A newly developed sustainability index is used as one of the objective functions in the study. The approach is defined as the complex multiobjective optimization procedure that constitutes different multiobjective optimization groups to better understand and evaluate the different objective functions together. The controllable air temperature and relative humidity are selected as the external decision variables. The best trade-off regions are identified between 300.00 K and 313.15 K at the relative humidity of 90% while they are found between 310.15 K and 313.15 K at the relative humidity of 50%. The high relative humidity and ambient air temperature present the best climatic conditions for the optimal operation of the small-scale system during the indoor operations.
URI: https://hdl.handle.net/10356/150648
ISSN: 0009-2509
DOI: 10.1016/j.ces.2019.03.024
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:ERI@N Journal Articles

Page view(s)

50
Updated on Sep 25, 2021

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.