Model-Based Process Design Optimization of DAC to Minimize Costs: Accounting for Diurnal Variations in Ambient Temperature and Relative Humidity DOI
Daniel Rezo, Marcus Glaser, Patrik Postweiler

и другие.

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Electrolytic hydrogen production; how green must green be? DOI Creative Commons
Marwan Sendi, Matthias Mersch, Niall Mac Dowell

и другие.

iScience, Год журнала: 2025, Номер 28(3), С. 111955 - 111955

Опубликована: Фев. 5, 2025

Electrolytic hydrogen from renewable sources is central to many nations' net-zero emission strategies, serving as a low-carbon alternative for traditional uses and enabling decarbonization across multiple sectors. Current stringent policies in the EU US are set soon require hourly time matching of electricity generation used by electrolyzers, aimed at ensuring that production does not cause significant direct or indirect emissions. While such requirements enhance "green credentials" hydrogen, they also increase its costs. A modest relaxation these offers practicable route scaling up production, optimizing both costs reductions. Moreover, jurisdictions with credible near-to-medium-term targets, immediate electrolytic utilizing grid would have lifetime carbon intensity comparable even below blue very significantly less than diesel, emphasizing need prioritize rapid broader grid.

Язык: Английский

Процитировано

0

Strategic Design and Multiperiod Optimization under Uncertainty of Solid Sorbent Direct Air Capture Supply Chains in Europe DOI Creative Commons
Daniel Crîstiu, Fengqi You, Federico d’Amore

и другие.

Industrial & Engineering Chemistry Research, Год журнала: 2025, Номер 64(10), С. 5493 - 5510

Опубликована: Март 3, 2025

This study develops a multiperiod mixed-integer linear programming model for strategic planning of direct air capture (DAC) supply chains across Europe aiming at minimizing overall costs under uncertainty. DAC is pivotal achieving net-zero targets and removing CO2 from the atmosphere to enable negative emissions. The optimization considers uncertainty in key parameters ensure resilient decision-making. incorporates influence ambient conditions on performance, with temperature humidity impacting productivity energy consumption. Country-specific greenhouse gas emission factors are accounted for, net cost removal. Results indicate that ambitious targets, technology learning curves, renewable electricity transition, can fall approximately 121 €/t by 2050, 108 attributed costs. findings highlight importance technological advancements provide systematic framework policymakers design cost-effective large-scale deployment, positioning as potential decarbonization alternative hard-to-abate

Язык: Английский

Процитировано

0

Powering Direct Air Capture: Overview of Existing Concepts and the Overlooked Role of Concentrated Solar Thermal Technologies DOI Creative Commons
Enric Prats‐Salvado, Nathalie Monnerie, Christian Sattler

и другие.

Current Sustainable/Renewable Energy Reports, Год журнала: 2025, Номер 12(1)

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

0

Evaluating the suitability of direct air carbon capture and storage in Virginia using geospatial multi-criteria decision analysis DOI

Nafiseh Salehi,

Lisa M. Colosi, Majid Shafiee‐Jood

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 216, С. 115669 - 115669

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Comparative analysis of industrialization potentials of direct air capture technologies DOI Creative Commons

Robin Koch,

Roland Dittmeyer

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Апрель 11, 2025

This study deals with the question which direct air capture technologies currently have biggest potential for reaching a gigaton scale of capacity. Technologies that were examined are alkaline gas washing, temperature-vacuum swing adsorption, electro-swing and accelerated weathering carbon capture. A multi-criteria decision-making model (PROMETHEE II) cost predictions based on learning by doing used to determine technology has highest potential. The results show adsorption but comes lot uncertainties need be cleared in future, such as costs supply adsorbents. In addition, it was not tested under ambient conditions, therefore, is unclear how this will perform at atmospheric CO 2 levels. Next best would capture, needs no fresh water lower energy demand compared adsorption. major disadvantage might land requirements high temperatures regenerate carbonates. Temperature-vacuum follows shortly after, mainly profiting from great reduction comparably small footprint. Alkaline washing showed lowest potential, through improving process, also possibility applied scale.

Язык: Английский

Процитировано

0

Fuel from air: A techno-economic assessment of e-fuels for low-carbon aviation in China DOI Creative Commons
Shubham Tiwari, Piera Patrizio, Sylvain Leduc

и другие.

Energy Conversion and Management, Год журнала: 2025, Номер 333, С. 119796 - 119796

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0

Model-Based Process Design Optimization of DAC to Minimize Costs: Accounting for Diurnal Variations in Ambient Temperature and Relative Humidity DOI
Daniel Rezo, Marcus Glaser, Patrik Postweiler

и другие.

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0