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Author |
Thomassen, G.; Van Passel, S.; Dewulf, J. |
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Title |
A review on learning effects in prospective technology assessment |
Type |
A1 journal article |
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Year |
2020 |
Publication |
Renewable & Sustainable Energy Reviews |
Abbreviated Journal |
Renew Sust Energ Rev |
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Volume |
130 |
Issue |
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Pages |
109937 |
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Keywords |
A1 journal article; Learning effects; Life cycle assessment; Techno-economic assessment; Prospective technology assessment; Learning-by-doing; Learning curve; Progress rate; Experience curve; Engineering Management (ENM) ; |
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Abstract |
Global environmental problems have urged the need for developing sustainable technologies. However, new technologies that enter the market have often higher economic costs and potentially higher environmental impacts than conventional technologies. This can be explained by learning effects: a production process that is performed for the first time runs less smooth than a production process that has been in operation for years. To obtain a fair estimation of the potential of a new technology, learning effects need to be included. A review on the current literature on learning effects was conducted in order to provide guidelines on how to include learning effects in prospective technology assessment. Based on the results of this review, five recommendations have been formulated and an integration of learning effects in the structure of prospective technology assessment has been proposed. These five recommendations include the combined use of learning effects on the component level and on the end product level; the combined use of learning effects on the technical, economic and environmental level; the combined use of extrapolated values and expert estimates; the combined use of learning-by-doing and learning-by-searching effects and; a tier-based method, including quality criteria, to calculate the learning effect. These five complementary strategies could lead to a clearer perspective on the environmental impact and cost structure of the new technology and a fairer comparison base with conventional technologies, potentially resulting in a faster adoption and a shorter time-to-market for sustainable technologies. |
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Wos |
000548790900008 |
Publication Date |
2020-06-10 |
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Series Issue |
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Edition |
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ISSN |
1364-0321 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
15.9 |
Times cited |
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Open Access |
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Notes |
The authors acknowledge the full financial support received from the Flemish administration via the Steunpunt Circulaire Economie (Policy Research Centre Circular Economy). We would also like to thank the SDEWES conference for the best paper award which was granted to the current paper. The authors declare no competing financial interests. This publication contains the opinions of the authors, not that of the Flemish administration. The Flemish administration will not carry any liability with respect to the use that can be made of the produced data or conclusions. |
Approved |
Most recent IF: 15.9; 2020 IF: 8.05 |
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Call Number |
ENM @ enm @c:irua:170076 |
Serial |
6389 |
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Permanent link to this record |
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Author |
Cai, Y.; Mei, D.; Chen, Y.; Bogaerts, A.; Tu, X. |
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Title |
Machine learning-driven optimization of plasma-catalytic dry reforming of methane |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
96 |
Issue |
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Pages |
153-163 |
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Keywords |
A1 Journal Article; Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
This study investigates the dry reformation of methane (DRM) over Ni/Al2O3 catalysts in a dielectric barrier discharge (DBD) non-thermal plasma reactor. A novel hybrid machine learning (ML) model is developed to optimize the plasma-catalytic DRM reaction with limited experimental data. To address the non-linear and complex nature of the plasma-catalytic DRM process, the hybrid ML model integrates three well-established algorithms: regression trees, support vector regression, and artificial neural networks. A genetic algorithm (GA) is then used to optimize the hyperparameters of each algorithm within the hybrid ML model. The ML model achieved excellent agreement with the experimental data, demonstrating its efficacy in accurately predicting and optimizing the DRM process. The model was subsequently used to investigate the impact of various operating parameters on the plasma-catalytic DRM performance. We found that the optimal discharge power (20 W), CO2/CH4 molar ratio (1.5), and Ni loading (7.8 wt%) resulted in the maximum energy yield at a total flow rate of 51 mL/min. Furthermore, we investigated the relative significance of each operating parameter on the performance of the plasmacatalytic DRM process. The results show that the total flow rate had the greatest influence on the conversion, with a significance exceeding 35% for each output, while the Ni loading had the least impact on the overall reaction performance. This hybrid model demonstrates a remarkable ability to extract valuable insights from limited datasets, enabling the development and optimization of more efficient and selective plasma-catalytic chemical processes. |
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Publication Date |
2024-04-25 |
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Series Issue |
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Edition |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
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Notes |
This project received funding from the European Union’s Hori- zon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 813393. |
Approved |
Most recent IF: 13.1; 2024 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9124 |
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Permanent link to this record |
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Author |
Shah, J.; Wang, W.; Bogaerts, A.; Carreon, M.L. |
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Title |
Ammonia Synthesis by Radio Frequency Plasma Catalysis: Revealing the Underlying Mechanisms |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
ACS applied energy materials |
Abbreviated Journal |
ACS Appl. Energy Mater. |
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Volume |
1 |
Issue |
9 |
Pages |
4824-4839 |
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Keywords |
A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Abstract |
Nonthermal plasma is a promising alternative for ammonia synthesis at gentle conditions. Metal meshes of Fe, Cu, Pd, Ag, and Au were employed as catalysts in radio frequency plasma for ammonia synthesis. The energy yield for all these transition metal catalysts ranged between 0.12 and 0.19 g-NH3/kWh at 300 W and, thus, needs further improvement. In addition, a semimetal, pure gallium, was used for the first time as catalyst for ammonia synthesis, with energy yield of 0.22 g-NH3/kWh and with a maximum yield of ∼10% at 150 W. The emission spectra, as well as computer simulations, revealed hydrogen recombination as a primary governing parameter, which depends on the concentration or flux of H atoms in the plasma and on the catalyst surface. The simulations helped to elucidate the underlying mechanism, implicating the dominance of surface reactions and surface adsorbed species. The rate limiting step appears to be NH2 formation on the surface of the reactor wall and on the catalyst surface, which is different from classical catalysis. |
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Wos |
000458706500048 |
Publication Date |
2018-09-24 |
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Edition |
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ISSN |
2574-0962 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Not_Open_Access |
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Notes |
M.L.C. acknowledges financial support from The University of Tulsa Faculty Startup Funds and The University of Tulsa Faculty Development Summer Fellowship Grant (FDSF). A.B. acknowledges financial support from the Excellence of Science program of the Fund for Scientific Research (FWO-FNRS; Grant no. G0F91618N; EOS ID 30505023). The calculations were performed using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen. |
Approved |
Most recent IF: NA |
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Call Number |
PLASMANT @ plasmant @c:irua:153804 |
Serial |
5051 |
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Author |
Rouwenhorst, K.H.R.; Jardali, F.; Bogaerts, A.; Lefferts, L. |
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Title |
Correction: From the Birkeland–Eyde process towards energy-efficient plasma-based NOXsynthesis: a techno-economic analysis |
Type |
A1 Journal Article |
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Year |
2023 |
Publication |
Energy & Environmental Science |
Abbreviated Journal |
Energy Environ. Sci. |
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Volume |
16 |
Issue |
12 |
Pages |
6170-6173 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
Correction for ‘From the Birkeland–Eyde process towards energy-efficient plasma-based NO<sub><italic>X</italic></sub>synthesis: a techno-economic analysis’ by Kevin H. R. Rouwenhorst<italic>et al.</italic>,<italic>Energy Environ. Sci.</italic>, 2021,<bold>14</bold>, 2520–2534, https://doi.org/10.1039/D0EE03763J. |
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Publication Date |
2023-11-27 |
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Edition |
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ISSN |
1754-5692 |
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Additional Links |
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Impact Factor |
32.5 |
Times cited |
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Open Access |
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Notes |
H2020 European Research Council; Horizon 2020, 810182 ; Ministerie van Economische Zaken en Klimaat; |
Approved |
Most recent IF: 32.5; 2023 IF: 29.518 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
8980 |
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Permanent link to this record |
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Author |
Loenders, B.; Michiels, R.; Bogaerts, A. |
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Title |
Is a catalyst always beneficial in plasma catalysis? Insights from the many physical and chemical interactions |
Type |
A1 Journal Article |
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Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
85 |
Issue |
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Pages |
501-533 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
Plasma-catalytic dry reforming of CH4 (DRM) is promising to convert the greenhouse gasses CH4 and CO2 into value-added chemicals, thus simultaneously providing an alternative to fossil resources as feedstock for the chemical industry. However, while many experiments have been dedicated to plasma-catalytic DRM, there is no consensus yet in literature on the optimal choice of catalyst for targeted products, because the underlying mechanisms are far from understood. Indeed, plasma catalysis is very complex, as it encompasses various chemical and physical interactions between plasma and catalyst, which depend on many parameters. This complexity hampers the comparison of experimental results from different studies, which, in our opinion, is an important bottleneck in the further development of this promising research field. Hence, in this perspective paper, we describe the important physical and chemical effects that should be accounted for when designing plasma-catalytic experiments in general, highlighting the need for standardized experimental setups, as well as careful documentation of packing properties and reaction conditions, to further advance this research field. On the other hand, many parameters also create many windows of opportunity for further optimizing plasma-catalytic systems. Finally, various experiments also reveal the lack of improvement in plasma catalysis compared to plasma-only, specifically for DRM, but the underlying mechanisms are unclear. Therefore, we present our newly developed coupled plasma-surface kinetics model for DRM, to provide more insight in the underlying reasons. Our model illustrates that transition metal catalysts can adversely affect plasmacatalytic DRM, if radicals dominate the plasma-catalyst interactions. Thus, we demonstrate that a good understanding of the plasma-catalyst interactions is crucial to avoiding conditions at which these interactions negatively affect the results, and we provide some recommendations for improvement. For instance, we believe that plasma-catalytic DRM may benefit more from higher reaction temperatures, at which vibrational excitation can enhance the surface reactions. |
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Publication Date |
2023-06-30 |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
UA library record |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
Not_Open_Access |
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Notes |
This research was supported by the FWO-SBO project PlasMa- CatDESIGN (FWO grant ID S001619N), the FWO fellowship of R. Michiels (FWO grant ID 1114921N), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 810182 – SCOPE ERC Synergy project). The computational resources and services used in this work were provided by the HPC core facility CalcUA of the Universiteit Antwerpen, and VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government. |
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @c:irua:198159 |
Serial |
8806 |
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Permanent link to this record |
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Author |
Wanten, B.; Vertongen, R.; De Meyer, R.; Bogaerts, A. |
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Title |
Plasma-based CO2 conversion: How to correctly analyze the performance? |
Type |
A1 journal article |
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Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
86 |
Issue |
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Pages |
180-196 |
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Keywords |
A1 journal article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Wos |
001070885000001 |
Publication Date |
2023-07-22 |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
Not_Open_Access |
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Notes |
We acknowledge financial support from the Fund for Scientific Research (FWO) Flanders (Grant ID 110221N), the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (grant agreement No 810182 – SCOPE ERC Synergy project), and the Methusalem funding of the University of Antwerp. We acknowledge the icons from the graphical abstract made by dDara, geotatah, Spashicons and Freepik on www.flaticon.com. We also thank Stein Maerivoet, Joachim Slaets, Elizabeth Mercer, Colín Ó’Modráin, Joran Van Turnhout, Pepijn Heirman, dr. Yury Gorbanev, dr. Fanny Girard-Sahun and dr. Sean Kelly for the interesting discussions and feedback. |
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @c:irua:198709 |
Serial |
8816 |
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Author |
Manaigo, F.; Rouwenhorst, K.; Bogaerts, A.; Snyders, R. |
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Title |
Feasibility study of a small-scale fertilizer production facility based on plasma nitrogen fixation |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
Energy Conversion and Management |
Abbreviated Journal |
Energy Conversion and Management |
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Volume |
302 |
Issue |
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Pages |
118124 |
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Keywords |
A1 Journal Article; Plasma-based nitrogen fixation Haber-Bosch Feasibility study Fertilizer production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Wos |
001171038200001 |
Publication Date |
2024-01-25 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0196-8904 |
ISBN |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
10.4 |
Times cited |
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Open Access |
Not_Open_Access |
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Notes |
This research is supported by the FNRS-FWO project ‘‘NITROPLASM’’, EOS O005118F. The authors thank Dr. L. Hollevoet (KU Leuven) for the draft reviewing and for providing additional information on the lean NO???? trap. |
Approved |
Most recent IF: 10.4; 2024 IF: 5.589 |
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Call Number |
PLASMANT @ plasmant @c:irua:204351 |
Serial |
8992 |
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Permanent link to this record |
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Author |
Vanschoenwinkel, J.; Lizin, S.; Swinnen, G.; Azadi, H.; Van Passel, S. |
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Title |
Solar cooking in Senegalese villages : an application of best-worst scaling |
Type |
A1 Journal article |
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Year |
2014 |
Publication |
Energy Policy |
Abbreviated Journal |
Energ Policy |
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Volume |
67 |
Issue |
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Pages |
447-458 |
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Keywords |
A1 Journal article; Sociology; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
Dissemination programs of nontraditional cookstoves often fail. Nontraditional cookstoves aim to solve problems associated with biomass fuel usage in developing countries. Recent studies do not explain what drives user's cookstove choice. This study therefore builds a holistic framework that centralizes product-specific preferences or needs. The case study identifies product-specific factors that influence rural Senegalese inhabitants to switch to solar cooking, using best worst scaling. Looking at the preferences, the case study classified 126 respondents, in three distinct market segments with different solar cooking expectations. The paper identifies socio-demographic characteristics that explain these differences in the respondents' preferences. Finally, the respondent sample is divided in two groups: solar cooker owners and non-owners. When studied with regard to the same issue, solar cooker owners appear to value benefits of the solar cooker lower than non-owners. This is due to program factors (such as formations, after-sales network) and miscommunication (such as a wrong image of the solar cooker) that highly influenced the respondents' cookstove choice. As a conclusion, solar cookers and solar cooking programs are not always adapted to the needs and requirements of the end-users. Needs-oriented and end-user adopted strategies are necessary in order to successfully implement nontraditional cookstoves programs. (C) 2013 Elsevier Ltd. All rights reserved. |
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Wos |
000332815300043 |
Publication Date |
2014-01-08 |
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Edition |
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ISSN |
0301-4215; 1873-6777 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
4.14 |
Times cited |
10 |
Open Access |
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Notes |
; The authors thank the VLIR-UOS for their financial support and the Sol Suffit Program for their co-operation during the research. ; |
Approved |
Most recent IF: 4.14; 2014 IF: 2.575 |
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Call Number |
UA @ admin @ c:irua:127544 |
Serial |
6251 |
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Author |
Van Hoecke, L.; Laffineur, L.; Campe, R.; Perreault, P.; Verbruggen, S.W.; Lenaerts, S. |
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Title |
Challenges in the use of hydrogen for maritime applications |
Type |
A1 Journal Article;Review article, Hydrogen Production, Hydrogen Storage, Maritime Applications |
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Year |
2021 |
Publication |
Energy & Environmental Science |
Abbreviated Journal |
Energ Environ Sci |
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Keywords |
A1 Journal Article;Review article, Hydrogen Production, Hydrogen Storage, Maritime Applications; Sustainable energy, air and water technology (DuEL) |
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Abstract |
Maritime shipping is a key factor that enables the global economy, however the pressure it exerts on the environment is increasing rapidly. In order to reduce the emissions of harmful greenhouse gasses, the search is on for alternative fuels for the maritime shipping industry. In this work the usefulness of hydrogen and hydrogen carriers is being investigated as a fuel for sea going ships. Due to the low volumetric energy density of hydrogen under standard conditions, the need for efficient storage of this fuel is high. Key processes in the use of hydrogen are discussed, starting with the production of hydrogen from fossil and renewable sources. The focus of this review is different storage methods, and in this work we discuss the storage of hydrogen at high pressure, in liquefied form at cryogenic temperatures and bound to liquid or solid-state carriers. In this work a theoretical introduction to different hydrogen storage methods precedes an analysis of the energy-efficiency and practical storage density of the carriers. In the final section the major challenges and hurdles for the development of hydrogen storage for the maritime industry are discussed. The most likely challenges will be the development of a new bunkering infrastructure and suitable monitoring of the safety to ensure safe operation of these hydrogen carriers on board the ship. |
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Wos |
000621101100009 |
Publication Date |
2021-01-07 |
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ISSN |
1754-5692 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
29.518 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
For the completion of this work we would like to thank, Compagnie Maritime Belge for initial funding 9 of the research into maritime hydrogen storage and the University of Antwerp for funding of the 10 Doctoral Project that allowed for the completion of this work. |
Approved |
Most recent IF: 29.518 |
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Call Number |
DuEL @ duel @c:irua:174754 |
Serial |
6668 |
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Author |
Conings, B.; Babayigit, A.; Klug, M.; Bai, S.; Gauquelin, N.; Sakai, N.; Wang, J.T.-W.; Verbeeck, J.; Boyen, H.-G.; Snaith, H. |
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Title |
Getting rid of anti-solvents: gas quenching for high performance perovskite solar cells |
Type |
P1 Proceeding |
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Year |
2018 |
Publication |
2018 Ieee 7th World Conference On Photovoltaic Energy Conversion (wcpec)(a Joint Conference Of 45th Ieee Pvsc, 28th Pvsec & 34th Eu Pvsec) |
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Keywords |
P1 Proceeding; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
As the field of perovskite optoelectronics developed, a plethora of strategies has arisen to control their electronic and morphological characteristics for the purpose of producing high efficiency devices. Unfortunately, despite this wealth of deposition approaches, the community experiences a great deal of irreproducibility between different laboratories, batches and preparation methods. Aiming to address this issue, we developed a simple deposition method based on gas quenching that yields smooth films for a wide range of perovskite compositions, in single, double, triple and quadruple cation varieties, and produces planar heterojunction devices with competitive efficiencies, so far up to 20%. |
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Wos |
000469200401163 |
Publication Date |
2018-12-08 |
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ISSN |
978-1-5386-8529-7 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
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Open Access |
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Approved |
Most recent IF: NA |
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Call Number |
UA @ admin @ c:irua:160468 |
Serial |
5365 |
|
Permanent link to this record |