All Outputs (5)

Analysis of a novel photovoltaic/thermal system using InGaN/GaN MQWs cells in high temperature applications (2020)
Journal Article
Ren, X., Li, J., Gao, D., Wu, L., & Pei, G. (2021). Analysis of a novel photovoltaic/thermal system using InGaN/GaN MQWs cells in high temperature applications. Renewable energy, 168, 11-20. https://doi.org/10.1016/j.renene.2020.12.035

© 2020 Elsevier Ltd The solar cells commonly adopted in the photovoltaic/thermal (PV/T) have negative temperature coefficients, leading to a significant decrement in electrical efficiency as cell's temperature exceeds 80 °C, and thus the PV/T systems... Read More about Analysis of a novel photovoltaic/thermal system using InGaN/GaN MQWs cells in high temperature applications.

Magnesium ferrite spinels as anode modifier for the treatment of Congo red and energy recovery in a single chambered microbial fuel cell (2020)
Journal Article
Khan, N., Anwer, A. H., Khan, M. D., Azam, A., Ibhadon, A., & Khan, M. Z. (in press). Magnesium ferrite spinels as anode modifier for the treatment of Congo red and energy recovery in a single chambered microbial fuel cell. Journal of hazardous materials, Article 124561. https://doi.org/10.1016/j.jhazmat.2020.124561

© 2020 Elsevier B.V. Magnesium Ferrite (MgFe2O4) spinel structures prepared by a solid-state reaction was used as an anode modifier in the microbial fuel cell (MFC) treatment of Congo red dye. The performance of the reactors with unmodified stainless... Read More about Magnesium ferrite spinels as anode modifier for the treatment of Congo red and energy recovery in a single chambered microbial fuel cell.

Deep reinforcement learning for maintenance planning of offshore vessel transfer (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, October). Deep reinforcement learning for maintenance planning of offshore vessel transfer. Presented at 4th International Conference on Renewable Energies Offshore (RENEW 2020), Lisbon, Portugal

Offshore wind farm operators need to make short-term decisions on planning vessel transfers to turbines for preventive or corrective maintenance. These decisions can play a pivotal role in ensuring maintenance actions are carried out in a timely and... Read More about Deep reinforcement learning for maintenance planning of offshore vessel transfer.

The role of heterogeneous catalysts in the plasma-catalytic ammonia synthesis (2020)
Journal Article
Patil, B. S., Cherkasov, N., Srinath, N. V., Lang, J., Ibhadon, A. O., Wang, Q., & Hessel, V. (in press). The role of heterogeneous catalysts in the plasma-catalytic ammonia synthesis. Catalysis Today, https://doi.org/10.1016/j.cattod.2020.06.074

Ammonia, being the second largest produced industrial chemical, is used as a raw material for many chemicals. Besides, there is a growing interest in the applications of ammonia as electrical energy storage chemical, as fuel, and in selective catalyt... Read More about The role of heterogeneous catalysts in the plasma-catalytic ammonia synthesis.

Single-Step extraction-esterification process to produce Biodiesel from Palm Oil Mill Effluent (POME) using microwave heating: a circular economy approach to making use of a difficult waste product. (2020)
Journal Article
Davies, E., Deutz, P., & Zein, S. H. (in press). Single-Step extraction-esterification process to produce Biodiesel from Palm Oil Mill Effluent (POME) using microwave heating: a circular economy approach to making use of a difficult waste product. Biomass Conversion and Biorefinery, https://doi.org/10.1007/s13399-020-00856-1

This investigation explores single step biodiesel synthesis using Palm Oil Mill Effluent (POME) as a feedstock. Normally considered a waste product from the extraction process of palm oil, POME treatment is difficult and can cause significant environ... Read More about Single-Step extraction-esterification process to produce Biodiesel from Palm Oil Mill Effluent (POME) using microwave heating: a circular economy approach to making use of a difficult waste product..