4.7 Article

Development of a MSW-fueled sustainable co-generation of hydrogen and electricity plant for a better environment comparing PEM and alkaline electrolyzers

期刊

SUSTAINABLE CITIES AND SOCIETY
卷 81, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scs.2022.103801

关键词

Absorption power cycle; Biogas; Digestion; Hydrogen production; Optimization; Thermoeconomic

资金

  1. Taif University, Taif, Saudi Arabia [TURSP-2020/348]

向作者/读者索取更多资源

Efficient conversion of Municipal Solid Waste (MSW) into useful energy by anaerobic digestion is studied in this paper. The proposed combined cycle utilizes a micro gas turbine, an absorption power cycle, and electrolyzers to produce electricity and hydrogen. Performance comparison and optimization are conducted based on economic, thermodynamic, and emission indices.
Efficient conversion of Municipal Solid Waste (MSW) into useful energy by anaerobic digestion is a sustainable method which received growing interest, particularly for small-scale decentralized energy systems. This paper aims at development of an efficient combined cogeneration cycle for production of electricity and hydrogen from biogas generated using anaerobic digestion of MSW. When it comes to the topping cycle, the proposed system makes use of a micro gas turbine, whose waste heat is converted to electricity by an absorption power cycle. This additional electricity is provided to a water electrolyzer, which uses it to generate hydrogen. Two types of electrolyzers, including the Proton Exchange Membrane Electrolyzer (PEME) and the Alkaline Electrolyzer (AE) are considered, and their performances (as a component of the overall suggested combined systems) are compared from economic and thermodynamic viewpoints. The CO2 emission index is also addressed, and triobjective optimization based on exergy, cost, and emission indices is carried out to compare the two systems. Obtained results indicated important outcomes, including that the system integrated with PEME is superior in terms of exergetic performance and emissions, whereas the system with AE is superior in terms of economics. The former has a 3.0% greater efficiency and a 3.3% lower emissions at optimal point established by tri-objective optimization, while it has a 9.3% higher levelized product cost.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据