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contributor authorHofmann, Mathias
contributor authorTsatsaronis, George
date accessioned2017-05-09T01:27:54Z
date available2017-05-09T01:27:54Z
date issued2016
identifier issn0195-0738
identifier otherjert_138_05_052907.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160935
description abstractThe aim of this work is to study a binary Rankine process with a significantly higher efficiency compared to a conventional coalfired power plant. This paper focuses on the design of the process and especially on an efficient combination of flue gas, potassium, and water streams in the components of the steam generator, such as economizers, evaporators, and superheaters, to decrease the overall exergy destruction. Based on a literature review, a base case for a coalfired binary Rankine cycle with potassium and water as working fluids was developed and, in order to evaluate the thermodynamic quality of several variants, comparative exergy analyses were conducted. A simulation of the process and calculation of the values for the streams were carried out by using the flowsheeting program CycleTempo, which simultaneously solves the mass and energy balances and contains property functions for the specific enthalpy and entropy of all the substances used. Necessary assumptions are predominantly based on literature data or they are discussed in the paper. We present the exergy analysis of the overall process that includes the flue gas streams as well as the potassium and water cycles. A design analysis and sensitivity studies show the effects of stream combinations and key parameters on the net efficiency, which is higher than 50%.
publisherThe American Society of Mechanical Engineers (ASME)
titleExergy Based Study of a Binary Rankine Cycle
typeJournal Paper
journal volume138
journal issue6
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4033303
journal fristpage62003
journal lastpage62003
identifier eissn1528-8994
treeJournal of Energy Resources Technology:;2016:;volume( 138 ):;issue: 006
contenttypeFulltext


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