Electrochemical Membrane Technology for Carbon Dioxide Capture from Flue Gas

Journal article

Ghezel-Ayagh, H, Jolly, S, Patel, D. and Steen, W (2017). Electrochemical Membrane Technology for Carbon Dioxide Capture from Flue Gas. Energy Procedia. 108, pp. 2-9. https://doi.org/10.1016/j.egypro.2016.12.183
AuthorsGhezel-Ayagh, H, Jolly, S, Patel, D. and Steen, W
Abstract

© 2017 The Authors. Published by Elsevier Ltd. To address concerns about climate change resulting from emission of CO 2 by fossil-fuel power plants, FuelCell Energy, Inc. (FCE) has developed Combined Electric Power and Carbon-dioxide Separation (CEPACS) system concept. The CEPACS system utilizes Electrochemical Membrane (ECM) technology derived from the Company's Direct FuelCell ® products. The system separates the CO 2 from the flue gas of other plants and produces electric power using a supplementary fuel. FCE is currently evaluating the use of ECM to cost effectively separate CO 2 from the flue gas of Pulverized Coal (PC) power plants under a U.S. Department of Energy contract. The overarching objective of the project is to verify that the ECM can achieve at least 90% CO 2 capture from the flue gas with no more than 35% increase in the cost of electricity. The project activities have included: 1) techno-economic analysis for an ECM-based CO 2 capture system applied to a 550 MW existing PC plant, 2) laboratory scale operational and performance tests of a membrane assembly, 3) performance tests of the membrane to evaluate the effects of impurities present in the coal plant flue gas, and 4) bench scale testing of an ECM-based CO 2 separation and purification system.

Year2017
JournalEnergy Procedia
Journal citation108, pp. 2-9
PublisherElsevier
ISSN1876-6102
Digital Object Identifier (DOI)https://doi.org/10.1016/j.egypro.2016.12.183
Publication dates
Print01 Mar 2017
Publication process dates
Deposited05 May 2018
Accepted01 Jan 2017
Accepted author manuscript
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/87038

Download files

Accepted author manuscript
Electrochemical.pdf
License: CC BY-NC-ND 4.0
File access level: Open

  • 69
    total views
  • 202
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Export as

Related outputs

Autoencoder Based Anomaly Detection for SCADA Networks
Nazir, S., Patel, S. and Patel, D. (2021). Autoencoder Based Anomaly Detection for SCADA Networks. International Journal of Artificial Intelligence and Machine Learning. 11 (2), pp. 83-99. https://doi.org/10.4018/ijaiml.20210701.oa6
Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks
Nazir, S., Patel, S. and Patel, D. (2020). Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks. International Journal of Artificial Intelligence and Machine Learning. 10 (2), pp. 1-17. https://doi.org/10.4018/ijaiml.2020070101
Towards a Business Model Framework to Increase Collaboration in the Freight Industry
Vargas, A, Patel, S. and Patel, D. (2018). Towards a Business Model Framework to Increase Collaboration in the Freight Industry. Logistics. 2 (4), p. 22. https://doi.org/10.3390/logistics2040022
Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques
Patel, S., Nazir, S and Patel, D. (2017). Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques. Computers & Security. 70, pp. 436-454. https://doi.org/10.1016/j.cose.2017.06.010
Autonomic Computing Architecture for SCADA Cyber Security
Patel, S., Nazir, S and Patel, D. (2017). Autonomic Computing Architecture for SCADA Cyber Security. International Journal of Cognitive Informatics and Natural Intelligence. 11 (4). https://doi.org/10.4018/IJCINI.2017100104
Autonomic computing meets SCADA security
Nazir, S, Patel, S. and Patel, D. (2017). Autonomic computing meets SCADA security. 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Oxford London South Bank University. pp. 498-502 https://doi.org/10.1109/ICCI-CC.2017.8109795
Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2016). Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning. Data and Knowledge Engineering. 105, pp. 5-22. https://doi.org/10.1016/j.datak.2015.10.002
Risk Management in hierarchical production planning using inter-enterprise architecture
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2015). Risk Management in hierarchical production planning using inter-enterprise architecture. 16th IFIP Working Conference on Virtual Enterprise (PRO-VE 15). Albi, France 05 - 07 Oct 2015 London South Bank University.