Journal
APPLIED ENERGY
Volume 138, Issue -, Pages 302-314Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2014.10.072
Keywords
Geothermal electric; Binary geothermal; Particle swarm optimization; Multi-objective optimization
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Funding
- United States Department of Defense Science, Mathematics, and Research for Transformation (SMART) scholarship
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In this paper, a method for determining the optimum use of a superheater and/or recuperator in a binary geothermal power plant is developed. Additionally, a multi-objective optimization algorithm is developed to intelligently explore the trade-off between specific work output and specific heat exchanger area and allow visualization of the entire Pareto-optimal set of designs for a wide range of geothermal brine temperatures and dry-bulb temperatures. Selected data is tabulated to show representative optimal designs for each combination of dry-bulb temperature and brine temperature. This work illustrates the development and use of a sophisticated analysis tool utilizing multi-objective particle swarm optimization to allow calculation of the Pareto-optimal set of designs under any combination of dry-bulb temperature and brine temperature while accounting for necessary real-world constraints. (C) 2014 Elsevier Ltd. All rights reserved.
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