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Techno-economic analysis on an integrated system for direct air capture and atmospheric water harvesting [dataset] Open Access

Moisture-swing adsorption (MSA) has emerged as a promising technology for direct air capture (DAC) due to its ability to decouple from high-grade heat, which can offer significant potential for low cost and sustainable carbon removal. Achieving scalable deployment requires fully closed-loop materials and energy management, remaining a critical challenge underexplored in current MSA research. The continuous water loss inherent in conventional MSA limits its viability in water-constrained environments. This study proposes an integrated system that couples atmospheric water harvesting (AWH) with MSA. This framework adopts a sequential material flow configuration in which ambient air is processed through a CO2 contactor before entering a water contactor. This design synergistically boosts the relative humidity at AWH inlet, which enhances CO2 and water capture efficiencies. The results indicate that the integrated system is capable of capturing 8 to 15 tons of CO2 annually. The levelized cost of DAC falls within the range of approximately 240-260 $/t. The system demonstrates exceptional performance in arid regions by maintaining a closed-loop water balance and achieving net-negative emissions without external water inputs. It proves that AWH-MSA integration provides a cost-effective pathway for deploying DAC across diverse geographical landscapes.

Descriptions

Resource type
Dataset
Contributors
Data collector: Tang, Zheyu 1
Chen, Sheng 1
Wu, Yang 1
Ji, Ying 1
Wang, Tao 1
Creator: Wang, Ruiqi 2
Jiang, Long 1
1 Zhejiang University, China
2 Durham University, UK
Funder
Engineering and Physical Sciences Research Council
Research methods
Other description
Keyword
Direct air capture
Moisture-swing adsorption
Closed-loop water balance
Atmospheric water harvesting
Techno-economic analysis
Subject
Carbon dioxide mitigation
Adsorption--Research
Water vapor, Atmospheric--Environmental aspects
Location
Language
Cited in
Identifier
ark:/32150/r2pv63g040p
doi:10.15128/r2pv63g040p
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

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R. Wang
Date Uploaded
Date Modified
1 September 2026, 10:09:44
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Mime type: application/vnd.ms-excel
File size: 39150
Last modified: 2026:08:28 15:26:55+01:00
Filename: data file.xlsx
Original checksum: 82cc04d1044041c91a7f35e89b339699
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