Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis

Economic analysis is necessary to ascertain the practical viability of a pressure-retarded osmosis (PRO) system for power production, but high complexity and the lack of large scale data has limited such work. In this study, a simple yet powerful economic framework is developed to relate the lower b...

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Main Authors: Chung, Hyung Won, Swaminathan, Jaichander, Banchik, Leonardo David, Lienhard, John H
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Elsevier 2018
Online Access:http://hdl.handle.net/1721.1/118349
https://orcid.org/0000-0001-8375-2694
https://orcid.org/0000-0003-0402-8185
https://orcid.org/0000-0002-2901-0638
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author Chung, Hyung Won
Swaminathan, Jaichander
Banchik, Leonardo David
Lienhard, John H
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Chung, Hyung Won
Swaminathan, Jaichander
Banchik, Leonardo David
Lienhard, John H
author_sort Chung, Hyung Won
collection MIT
description Economic analysis is necessary to ascertain the practical viability of a pressure-retarded osmosis (PRO) system for power production, but high complexity and the lack of large scale data has limited such work. In this study, a simple yet powerful economic framework is developed to relate the lower bound of levelized cost of electricity (LCOE) to net power density. A set of simplifying assumptions are used to develop an inverse linear relationship between net power density and LCOE. While net power density can be inferred based on experimentally measured power density, LCOE can be used to judge the economic viability of the PRO system. The minimum required net power density for PRO system to achieve an LCOE of $0.074/kWh (the capacity-weighted average LCOE of solar PV in the U.S.) is found to be 56.4 W/m2. Using this framework, we revisit the commonly cited power density of 5 W/m[superscript 2] to conclude that it is not economically viable because net power density would be even lower. Finally, we demonstrate that fundamental difference exists between power density and net power density, and as a result we recommend using net power density as a performance metric for PRO system. Keywords: Pressure-retarded osmosis; Economic analysis; Levelized cost of electricity; net power density
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spelling mit-1721.1/1183492022-09-29T13:18:59Z Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis Chung, Hyung Won Swaminathan, Jaichander Banchik, Leonardo David Lienhard, John H Massachusetts Institute of Technology. Department of Mechanical Engineering Rohsenow Kendall Heat Transfer Laboratory (Massachusetts Institute of Technology) Chung, Hyung Won Swaminathan, Jaichander Banchik, Leonardo David Lienhard, John H. Economic analysis is necessary to ascertain the practical viability of a pressure-retarded osmosis (PRO) system for power production, but high complexity and the lack of large scale data has limited such work. In this study, a simple yet powerful economic framework is developed to relate the lower bound of levelized cost of electricity (LCOE) to net power density. A set of simplifying assumptions are used to develop an inverse linear relationship between net power density and LCOE. While net power density can be inferred based on experimentally measured power density, LCOE can be used to judge the economic viability of the PRO system. The minimum required net power density for PRO system to achieve an LCOE of $0.074/kWh (the capacity-weighted average LCOE of solar PV in the U.S.) is found to be 56.4 W/m2. Using this framework, we revisit the commonly cited power density of 5 W/m[superscript 2] to conclude that it is not economically viable because net power density would be even lower. Finally, we demonstrate that fundamental difference exists between power density and net power density, and as a result we recommend using net power density as a performance metric for PRO system. Keywords: Pressure-retarded osmosis; Economic analysis; Levelized cost of electricity; net power density Kuwait Foundation for the Advancement of Sciences (P31475EC01) Massachusetts Institute of Technology. Tata Center for Technology and Design 2018-10-04T14:08:12Z 2018-10-04T14:08:12Z 2018-12 2018-08 Article http://purl.org/eprint/type/JournalArticle 0011-9164 1873-4464 http://hdl.handle.net/1721.1/118349 Chung, Hyung Won, et al. “Economic Framework for Net Power Density and Levelized Cost of Electricity in Pressure-Retarded Osmosis.” Desalination, vol. 448, Dec. 2018, pp. 13–20. https://orcid.org/0000-0001-8375-2694 https://orcid.org/0000-0003-0402-8185 https://orcid.org/0000-0002-2901-0638 en_US https://doi.org/10.1016/j.desal.2018.09.007 Desalination Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Elsevier Prof. Lienhard
spellingShingle Chung, Hyung Won
Swaminathan, Jaichander
Banchik, Leonardo David
Lienhard, John H
Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title_full Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title_fullStr Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title_full_unstemmed Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title_short Economic framework for net power density and levelized cost of electricity in pressure-retarded osmosis
title_sort economic framework for net power density and levelized cost of electricity in pressure retarded osmosis
url http://hdl.handle.net/1721.1/118349
https://orcid.org/0000-0001-8375-2694
https://orcid.org/0000-0003-0402-8185
https://orcid.org/0000-0002-2901-0638
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