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The impact of facade geometry on visual comfort and energy consumption in an office building in different climates
Mahdavinejad, M., Bazazzadeh, H., Mehrvarz, F., Berardi, U., Nasr, T., Pourbagher, S., & Hoseinzadeh, S. (2024). The impact of facade geometry on visual comfort and energy consumption in an office building in different climates. Energy Reports, 11, 1-17. https://doi.org/10.1016/j.egyr.2023.11.021
Restoration mechanism and maximum dual failure restorability of span-restorable optical networks
Zhou, L. (2006). Restoration mechanism and maximum dual failure restorability of span-restorable optical networks. In 2006 Asia optical fiber communication & optoelectronic exposition & conference (AOE) (p. 4100029 (10 pp.). https://doi.org/10.1109/AOE.2006.307319
Adsorption energy system design and material selection: towards a holistic approach
Piccoli, E., Brancato, V., Frazzica, A., Maréchal, F., & Galmarini, S. (2023). Adsorption energy system design and material selection: towards a holistic approach. Thermal Science and Engineering Progress, 37, 101572 (13 pp.). https://doi.org/10.1016/j.tsep.2022.101572
Electric vehicle parameter identification
Wilhelm, E., Bomatico, R., Widmer, R., Rodgers, L., & Soh, G. S. (2012). Electric vehicle parameter identification. In Vol. 3. 26th electric vehicle symposium 2012 (pp. 2071-2080). Electric Drive Transportation Association.
The potential of vehicle-to-grid to support the energy transition: a case study on Switzerland
Di Natale, L., Funk, L., Rüdisüli, M., Svetozarevic, B., Pareschi, G., Heer, P., & Sansavini, G. (2021). The potential of vehicle-to-grid to support the energy transition: a case study on Switzerland. Energies, 14(16), 4812 (24 pp.). https://doi.org/10.3390/en14164812
Electric vehicle parameter identification
Wilhelm, E., Bornatico, R., Widmer, R., Rodgers, L., & Soh, G. S. (2012). Electric vehicle parameter identification. World Electric Vehicle Journal, 5(4), 1090-1099. https://doi.org/10.3390/wevj5041090
Inverse mechanistic modeling of transdermal drug delivery for fast identification of optimal model parameters
Defraeye, T., Bahrami, F., & Rossi, R. M. (2021). Inverse mechanistic modeling of transdermal drug delivery for fast identification of optimal model parameters. Frontiers in Pharmacology, 12, 641111 (15 pp.). https://doi.org/10.3389/fphar.2021.641111
Optimization of path availability of span-restorable optical networks
Zhou, L., & Held, M. (2006). Optimization of path availability of span-restorable optical networks. In H. G. Limberger & M. J. Matthewson (Eds.), Proceedings of SPIE - The International Society for Optical Engineering: Vol. 6193. Reliability of optical fiber components, devices, systems, and networks III (p. 619312 (9 pp.). https://doi.org/10.1117/12.662095
Redundancy, restorability and path availability in optical mesh networks
Held, M., & Zhou, L. (2006). Redundancy, restorability and path availability in optical mesh networks. In Vol. 4. Proceedings of 2006 8th international conference on transparent optical networks (ICTON 2006) (pp. 120-125). https://doi.org/10.1109/ICTON.2006.248416
Sensitivity analysis on optimal placement of façade based photovoltaics
Waibel, C., Mavromatidis, G., Bollinger, A., Evins, R., & Carmeliet, J. (2018). Sensitivity analysis on optimal placement of façade based photovoltaics. In J. C. Teixeira, A. C. Ferreira, Ã. Silva, & S. Teixeira (Eds.), ECOS 2018. Proceedings of the 31st international conference on efficiency, cost, optimization, simulation and environmental impact of energy systems. Guimarães, Portugal: Universidade do Minho. Departamento de Engenharia Mecânica.
Introducing reinforcement learning to the energy system design process
Perera, A. T. D., Wickramasinghe, P. U., Nik, V. M., & Scartezzini, J. L. (2020). Introducing reinforcement learning to the energy system design process. Applied Energy, 262, 114580 (14 pp.). https://doi.org/10.1016/j.apenergy.2020.114580
Hydrophobic TiO<sub>2</sub>-SiO<sub>2</sub> aerogel composites for fast removal of organic pollutants
Xu, H., Jia, J., Zhao, S., Chen, P., Xia, Q., Wu, J., & Zhu, P. (2018). Hydrophobic TiO2-SiO2 aerogel composites for fast removal of organic pollutants. Chemistry Select, 3(37), 10483-10490. https://doi.org/10.1002/slct.201801646
Pick a color MARIA: adaptive sampling enables the rapid identification of complex perovskite nanocrystal compositions with defined emission characteristics
Bezinge, L., Maceiczyk, R. M., Lignos, I., Kovalenko, M. V., & deMello, A. J. (2018). Pick a color MARIA: adaptive sampling enables the rapid identification of complex perovskite nanocrystal compositions with defined emission characteristics. ACS Applied Materials and Interfaces, 10(22), 18869-18878. https://doi.org/10.1021/acsami.8b03381
Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design
Nault, E., Waibel, C., Carmeliet, J., & Andersen, M. (2018). Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design. Building and Environment, 137, 58-72. https://doi.org/10.1016/j.buildenv.2018.03.033
Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply
Morvaj, B., Evins, R., & Carmeliet, J. (2017). Comparison of individual and microgrid approaches for a distributed multi energy system with different renewable shares in the grid electricity supply. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 349-354). https://doi.org/10.1016/j.egypro.2017.07.336
The Ehub modeling tool: a flexible software package for district energy system optimization
Bollinger, L. A., & Dorer, V. (2017). The Ehub modeling tool: a flexible software package for district energy system optimization. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 541-546). https://doi.org/10.1016/j.egypro.2017.07.402
Design and optimization of a hybrid solar ground source heat pump with seasonal regeneration
Miglani, S., Orehounig, K., & Carmeliet, J. (2017). Design and optimization of a hybrid solar ground source heat pump with seasonal regeneration. In J. L. Scartezzini (Ed.), Energy procedia: Vol. 122. CISBAT 2017 international conference. Future buildings & districts - energy efficiency from nano to urban scale (pp. 1015-1020). https://doi.org/10.1016/j.egypro.2017.07.468
Preparation of lignin nanoparticles by chemical modification
Gilca, I. A., Ghitescu, R. E., Puitel, A. C., & Popa, V. I. (2014). Preparation of lignin nanoparticles by chemical modification. Iranian Polymer Journal, 23(5), 355-363. https://doi.org/10.1007/s13726-014-0232-0
An internally consistent thermodynamic dataset for aqueous species in the system Ca-Mg-Na-K-Al-Si-O-H-C-Cl to 800 °C and 5 kbar
Miron, G. D., Wagner, T., Kulik, D. A., & Lothenbach, B. (2017). An internally consistent thermodynamic dataset for aqueous species in the system Ca-Mg-Na-K-Al-Si-O-H-C-Cl to 800 °C and 5 kbar. American Journal of Science, 317(7), 755-806. https://doi.org/10.2475/07.2017.01
Holistic optimization of urban morphology and district energy system
Waibel, C., Evins, R., & Carmeliet, J. (2016). Holistic optimization of urban morphology and district energy system. In G. Habert & A. Schlueter (Eds.), Expanding boundaries. Systems thinking in the built environment (pp. 70-76). https://doi.org/10.3218/3774-6_12