Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination

doi:10.1016/j.jclepro.2018.06.009

Title: Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination

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Abstract

Multi-effect distillation is often integrated with a Rankine power cycle for cogeneration (simultaneous production of power and desalinated water). Such integration increases the condenser operating pressure for the Rankine cycle (and increases the heat-rejection temperature) to produce desalinated water, resulting in decreased power-plant efficiency. The supercritical carbon dioxide Brayton cycle has a higher efficiency compared to the Rankine cycle. The waste heat rejected from supercritical carbon dioxide Brayton cycle is at sufficiently hot temperature to have feasible energy integration with multi-effect distillation system. The paper introduces the novel concept of cogeneration without being a parasitic load to the power cycle. For the illustrative example considered, integrating 4-effect distillation system with a 115 MWe power plant can produce 3041 m3 of distillate per day at 1.06 $/m3, at a constant power plant efficiency of 49.2%. The pattern in which feed enters the desalination system often dictates its energy consumption. The two most commonly used feed configurations for multi-effect distillation system are parallel/cross feed and forward feed. With steam as a heat source (i.e., a latent heat source), parallel/cross feed is the most energy-efficient feed configuration. The other objective of this paper is to identify the optimal feed flow configuration for multi-effectmore »« less

Authors:

Sharan, Prashant ^[1]; Neises, Ty ^[1]; Turchi, Craig ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: 2018-06-04

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program; USDOE

OSTI Identifier:: 1457663

Alternate Identifier(s):: OSTI ID: 1582997

Report Number(s):: NREL/JA-5500-70846
Journal ID: ISSN 0959-6526

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Cleaner Production

Additional Journal Information:: Journal Volume: 196; Journal Issue: C; Journal ID: ISSN 0959-6526

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; multi-effect distillation; supercritical carbon dioxide; Brayton cycle; brine recycling; process integration

Citation Formats


                    Sharan, Prashant, Neises, Ty, and Turchi, Craig. Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination.  United States: N. p., 2018. 
        Web.  doi:10.1016/j.jclepro.2018.06.009.

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                    Sharan, Prashant, Neises, Ty, & Turchi, Craig. Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination.  United States.  doi:10.1016/j.jclepro.2018.06.009.

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                    Sharan, Prashant, Neises, Ty, and Turchi, Craig. Mon .  
        "Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination".  United States.  doi:10.1016/j.jclepro.2018.06.009.  https://www.osti.gov/servlets/purl/1457663.

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@article{osti_1457663,

  title        = {Optimal feed flow sequence for multi-effect distillation system integrated with supercritical carbon dioxide Brayton cycle for seawater desalination},

  author       = {Sharan, Prashant and Neises, Ty and Turchi, Craig},

  abstractNote = {Multi-effect distillation is often integrated with a Rankine power cycle for cogeneration (simultaneous production of power and desalinated water). Such integration increases the condenser operating pressure for the Rankine cycle (and increases the heat-rejection temperature) to produce desalinated water, resulting in decreased power-plant efficiency. The supercritical carbon dioxide Brayton cycle has a higher efficiency compared to the Rankine cycle. The waste heat rejected from supercritical carbon dioxide Brayton cycle is at sufficiently hot temperature to have feasible energy integration with multi-effect distillation system. The paper introduces the novel concept of cogeneration without being a parasitic load to the power cycle. For the illustrative example considered, integrating 4-effect distillation system with a 115 MWe power plant can produce 3041 m3 of distillate per day at 1.06 $/m3, at a constant power plant efficiency of 49.2%. The pattern in which feed enters the desalination system often dictates its energy consumption. The two most commonly used feed configurations for multi-effect distillation system are parallel/cross feed and forward feed. With steam as a heat source (i.e., a latent heat source), parallel/cross feed is the most energy-efficient feed configuration. The other objective of this paper is to identify the optimal feed flow configuration for multi-effect distillation system integrated with a supercritical carbon dioxide power cycle (i.e., a sensible heat source). For the simplified network, forward feed is the best feed configuration, which yields a 7.5% increase in distillate production at 2.6% reduced distillate cost. Additionally, different methods for reducing the brine discharge are studied, which can help to achieve zero liquid discharge. Result show increasing the maximum brine concentration gives superior results compared to brine recycling. The system modelling is done using the principle of process integration, and an analytical methodology for cogeneration is derived.},

  doi          = {10.1016/j.jclepro.2018.06.009},

  journal      = {Journal of Cleaner Production},

  number       = C,

  volume       = 196,

  place        = {United States},

  year         = {2018},

  month        = {6}

}

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DOI: 10.1016/j.jclepro.2018.06.009

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