Published January 2018 | Version v1
Journal article

Comparative exergoeconomic assessment of coal-fired power plants – Binary Rankine cycle versus conventional steam cycle

  • 1. Technische Universität Berlin, Institute for Energy Engineering, Marchstraße 18, Berlin, 10587 (Germany)

Description

Highlights: • A binary Rankine cycle enables emission reductions and fuel savings. • The concept is compared in detail with a conventional coal-fired power plant. • The assessment evaluates the advantages of a binary Rankine cycle. • Graphical representations show the sensitivity of uncertain parameters. • Exergoeconomic evaluations identify potential for improvement. This article describes an analysis of both a binary and a conventional Rankine cycle for a coal-fired power plant. The major question is whether it is possible to compensate the expected higher capital investment associated with additional components by a lower fuel consumption during the operation. By implementing an exergy analysis, the concept of a binary Rankine cycle with potassium and water as working fluids is compared to a conventional coal-fired power plant. Furthermore, an exergoeconomic analysis is carried out in order to understand the formation and flow of costs in the systems. With the help of sensitivity analyses, we show the impact of uncertain economic parameters, such as fuel cost, capacity factor, or capital investment on the levelized cost of electricity. The comparative exergoeconomic analysis shows that the concept of a binary Rankine cycle is suitable for fuel and emission reduction and economically viable. Under certain conditions, such as a sufficient number of annual equivalent full-load hours, an advantage arises over a conventional coal-fired power plant.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2017.09.117

Additional details

Identifiers

DOI
10.1016/j.energy.2017.09.117;
PII
S0360544217316377;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
142
Journal Page Range
p. 168-179
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2017 The Author(s). Published by Elsevier Ltd.