Alexander Dudchenko
Staff Scientist, SLAC National Accelerator Laboratory
All Publications
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Tracking Spatiotemporal Electric Potential in Batteries Using High-Resolution <i>Operando</i> X-ray Transmission Imaging
JOURNAL OF PHYSICAL CHEMISTRY C
2025
View details for DOI 10.1021/acs.jpcc.5c05969
View details for Web of Science ID 001606725400001
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Component innovations for lower cost mechanical vapor compression.
Water research
2024; 260: 121950
Abstract
Despite significant capital and operating costs, mechanical vapor compression (MVC) remains the preferred technology for challenging brine concentration applications. This work seeks to assess the dependence of MVC costs on feedwater salinity and desired water recovery and to quantify the value of improved component performance or reduced component costs for reducing the levelized cost of water (LCOW) of MVC. We built a cost optimization model coupling thermophysical, heat and mass transfer, and technoeconomic models to optimize and identify low cost MVC system designs as a function of feedwater salinity and water recovery. The LCOW ranges over 3.6 to 6.1 $/m3 for seawater feed salinities of 25-150 g/kg and water recoveries of 40-80 %. We then perform sensitivity analysis on parameter inputs to isolate irreducible costs and determine high value component innovation targets. The LCOW was most sensitive to evaporator material costs and performance, including the overall heat transfer coefficient in the evaporator. Process and material innovations such as polymer-composite evaporator tubes that reduce evaporator costs by 25 % without reducing heat transfer performance by more than 10 % would result in MVC cost reductions of 8 %.
View details for DOI 10.1016/j.watres.2024.121950
View details for PubMedID 38917505
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Novel method for accurately estimating membrane transport properties and mass transfer coefficients in reverse osmosis
JOURNAL OF MEMBRANE SCIENCE
2023; 679
View details for DOI 10.1016/j.memsci.2023.121686
View details for Web of Science ID 000999680600001
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Inadequacy of current approaches for characterizing membrane transport properties at high salinities
JOURNAL OF MEMBRANE SCIENCE
2023; 668
View details for DOI 10.1016/j.memsci.2022.121246
View details for Web of Science ID 000906689700001
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Guidance on Nusselt Number Correlation Selection in Membrane Distillation
ACS ES&T ENGINEERING
2022
View details for DOI 10.1021/acsestengg.1c00496
View details for Web of Science ID 000824258300001
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Desalination Process Design Assisted by Osmotic Power for High Water Recovery and Low Energy Consumption
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
2022; 10 (7): 2409-2419
View details for DOI 10.1021/acssuschemeng.1c07078
View details for Web of Science ID 000766243300016
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High-impact innovations for high-salinity membrane desalination.
Proceedings of the National Academy of Sciences of the United States of America
2021; 118 (37)
Abstract
Reducing the cost of high-salinity (>75 g/L total dissolved solids) brine concentration technology would unlock the potential for vast inland water supplies and promote the safe management of concentrated aqueous waste streams. Impactful innovation will target component performance improvements and cost reductions that yield the highest impact on system costs, but the desalination community lacks methods for quantitatively evaluating the value of innovation or the robustness of technology platforms relative to competing technologies. This work proposes a suite of methods built on process-based cost optimization models that explicitly address the complexities of membrane-separation processes, namely that these processes comprise dozens of nonlinearly interacting components and that innovation can occur in more than one component at a time. We begin by demonstrating the merit of performing simple parametric sensitivity analysis on component performance and cost to guide the selection of materials and manufacturing methods that reduce system costs. A more rigorous implementation of this approach relates improvements in component performance to increases in component costs, helping to further discern high-impact innovation trajectories. The most advanced implementation includes a stochastic simulation of the value of innovation that accounts for both the expected impact of a component innovation on reducing system costs and the potential for improvements in other components. Finally, we apply these methods to identify innovations with the highest probability of substantially reducing the levelized cost of water from emerging membrane processes for high-salinity brine treatment.
View details for DOI 10.1073/pnas.2022196118
View details for PubMedID 34493650
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Cost optimization of multi-stage gap membrane distillation
JOURNAL OF MEMBRANE SCIENCE
2021; 627
View details for DOI 10.1016/j.memsci.2021.119228
View details for Web of Science ID 000639349100005
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Foulant Adsorption to Heterogeneous Surfaces with Zwitterionic Nanoscale Domains
ACS APPLIED POLYMER MATERIALS
2020; 2 (11): 4709–18
View details for DOI 10.1021/acsapm.0c00738
View details for Web of Science ID 000592755800039
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Cost optimization of high recovery single stage gap membrane distillation
JOURNAL OF MEMBRANE SCIENCE
2020; 611
View details for DOI 10.1016/j.memsci.2020.118370
View details for Web of Science ID 000560701400013
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Neural networks for estimating physical parameters in membrane distillation
JOURNAL OF MEMBRANE SCIENCE
2020; 610
View details for DOI 10.1016/j.memsci.2020.118285
View details for Web of Science ID 000555548500020
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Impact of module design on heat transfer in membrane distillation
JOURNAL OF MEMBRANE SCIENCE
2020; 601
View details for DOI 10.1016/j.memsci.2020.117898
View details for Web of Science ID 000519189100019
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Enhancing boron rejection on electrically conducting reverse osmosis membranes through local electrochemical pH modification
DESALINATION
2020; 476
View details for DOI 10.1016/j.desal.2019.114212
View details for Web of Science ID 000508744900003