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Petersen, W. (author), Øiseth, O. (author), Lourens, E. (author)
Wind loading is an essential aspect in the design and assessment of long-span bridges, but it is often not well-known and cannot be measured directly. Most structural health monitoring systems can easily measure structural responses at discrete locations using accelerometers. This data can be combined with reduced-order modal models in Kalman...
journal article 2022
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Kraaij, R.C. (author)
We extend the Barles-Perthame procedure [4] (see also [22]) of semi-relaxed limits of viscosity solutions of Hamilton-Jacobi equations of the type f−λHf=h to the context of non-compact spaces. The convergence result allows for equations on a ‘converging sequence of spaces’ as well as Hamilton-equations written in terms of two equations in...
journal article 2022
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Wu, Ran (author), Ma, Tao (author), Schröder, E. (author)
International trade and emission offshoring can reduce a country's domestic carbon dioxide emissions, helping it to reach emission reduction targets set under the prevailing territorial climate policy frameworks. We ask what is the net contribution of trade to national production-based emissions. Existing metrics (consumption-based emissions and...
journal article 2022
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Kouba, V. (author), D, Vejmelkova (author), E, Zwolsman (author), K, Hurkova (author), K, Navratilova (author), M, Laureni (author), Pabst, M. (author), van Loosdrecht, Mark C.M. (author), Weissbrodt, D.G. (author)
Anammox bacteria enable efficient removal of nitrogen from sewage in processes involving partial nitritation and anammox (PN/A) or nitrification, partial denitrification, and anammox (N-PdN/A). In mild climates, anammox bacteria must be adapted to ≤15 °C, typically by gradual temperature decrease; however, this takes months or years. To...
journal article 2022
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Estrella, Jorge (author), Wüthrich, D. (author), Chanson, Hubert (author)
A hydraulic jump is a region of rapidly-varied flow that is extremely turbulent. While the one-dimensional continuity and momentum principles have been successfully applied to express the relationships between upstream and downstream conditions, the three-dimensional equations cannot be resolved without some complicated turbulence closure,...
journal article 2022
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Guo, Feng (author), Cheng, Gang (author), Pang, Y. (author)
Aiming at a 5-DOF hybrid optical mirror polishing robot, the explicit dynamic model considering the joint friction is established and the inertia coupling distribution is studied. Firstly, the kinematics of the manipulator is solved based on closed-loop vector method, and the dynamic model is established with Newton-Euler method based on the...
journal article 2022
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van Linden, N. (author), Spanjers, H. (author), van Lier, J.B. (author)
Gaseous ammonia (NH3) recovered from residual waters may be used as a fuel in solid oxide fuel cells (SOFCs) to generate electricity without emission of undesirable oxidised nitrogen species. NH3 can be directly recovered from water as a gas by vacuum membrane stripping (VMS), which also results in the evaporation of water (H2O), leading to the...
journal article 2022
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Melliger, Marc (author), Chappin, E.J.L. (author)
Support schemes have been central to the expansion of renewable electricity globally and in the European Union. As technologies mature, individual member states may decide to phase out these policies. While previous research has shown that such policy changes affect investors’ decisions, we investigate how they affect pathways and electricity...
journal article 2022
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Yao, Yu (author), Huang, Yunkai (author), Peng, Fei (author), Dong, J. (author)
This article proposes a sliding-mode position estimation method for high-speed surface-mounted permanent magnet synchronous machines with LCL filter. The implementation of the LCL filter aims at smoothing the motor current and reducing the iron loss caused by the harmonic currents. First, the discrete-time model of the LCL-filtered motor...
journal article 2022
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Vergara Barrios, P.P. (author), Salazar, Mauricio (author), Giraldo, Juan S. (author), Palensky, P. (author)
In this paper, a Reinforcement Learning (RL)-based approach to optimally dispatch PV inverters in unbalanced distribution systems is presented. The proposed approach exploits a decentralized architecture in which PV inverters are operated by agents that perform all computational processes locally; while communicating with a central agent to...
journal article 2022
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Huber, Katharina T. (author), van Iersel, L.J.J. (author), Janssen, R. (author), Jones, M.E.L. (author), Moulton, Vincent (author), Murakami, Yukihiro (author)
Recently it was shown that a certain class of phylogenetic networks, called level-2 networks, cannot be reconstructed from their associated distance matrices. In this paper, we show that they can be reconstructed from their induced shortest and longest distance matrices. That is, if two level-2 networks induce the same shortest and longest...
journal article 2022
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Miao, Xuefei (author), Gong, Yong (author), Zhang, Fengqi (author), You, Yurong (author), Caron, Luana (author), Qian, Fengjiao (author), Xu, Feng (author), van Dijk, N.H. (author), Brück, E.H. (author)
Magnetocaloric materials undergoing reversible phase transitions are highly desirable for magnetic refrigeration applications. (Mn,Fe)<sub>2</sub>(P,Si) alloys exhibit a giant magnetocaloric effect accompanied by a magnetoelastic transition, while the noticeable irreversibility causes drastic degradation of the magnetocaloric properties...
journal article 2022
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Rey, Juan M. (author), Jiménez-Vargas, Iván (author), Vergara Barrios, P.P. (author), Osma-Pinto, Germán (author), Solano, Javier (author)
Autonomous microgrids are a suitable solution for off-grid electrification in terms of costs and reliability. The correct sizing of its generation and storage systems ensures efficient utilization of the available energy resources. Generally, many sizing approaches assume optimized energy management strategies that rely on central control...
journal article 2022
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Chen, Cong (author), Batselier, K. (author), Yu, Wenjian (author), Wong, Ngai (author)
Tensor, a multi-dimensional data structure, has been exploited recently in the machine learning community. Traditional machine learning approaches are vector- or matrix-based, and cannot handle tensorial data directly. In this paper, we propose a tensor train (TT)-based kernel technique for the first time, and apply it to the conventional...
journal article 2022
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Lombardi, F. (author), Rocco, Matteo Vincenzo (author), Belussi, Lorenzo (author), Danza, Ludovico (author), Magni, Chiara (author), Colombo, Emanuela (author)
The decarbonisation of residential heat through integration with the power system and deployment of refurbishment policies is at the core of European energy policies. Yet, heat-electricity integration may be challenged, in practice, by the large variability of heat demand across weather years. Current approaches for residential heat demand...
journal article 2022
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Hou, Jue (author), Liu, Zhou (author), Wang, Shaorong (author), Chen, Zhe (author), Xie, Wei (author), Fang, Cheng (author), Wei, Xinchi (author), Popov, M. (author)
Supplementary control (SC) technology is widely leveraged by power supply companies in active distribution networks (ADNs) to improve their stability and dynamic characteristics. Yet, the existed SCs are generally implemented from inside the converter controllers of distributed generators (DGs) or active loads, so there is a need to redesign...
journal article 2022
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Lin, Dong Qiang (author), Broere, W. (author), Cui, Jianqiang (author)
In the urbanisation process of the past few decades, the use of urban underground space (UUS) has contributed to new town developments in many cities in the world. This offers an opportunity to map out and systematically describe the potential contributions of UUS for transport, land use, economic, environmental and social development in new...
journal article 2022
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Liang, M. (author), Chang, Z. (author), Wan, Z. (author), Gan, Y. (author), Schlangen, E. (author), Šavija, B. (author)
This study aims to provide an efficient and accurate machine learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine learning (EML) models are selected in this study: Random Forest (RF), Extreme Gradient Boosting Machine (XGBoost) and Light Gradient Boosting Machine (LGBM). Firstly, the creep data in...
journal article 2022
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Verhoeven, V.B. (author), Dedoussi, I.C. (author)
Land cover plays an important role in the Earth's climate as it affects multiple biochemical cycles and is critical for food security and biodiversity. As land cover is continuously evolving, influenced by anthropogenic and other factors, the availability of temporally varying land cover data sets of large spatial domains is integral to...
journal article 2022
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Calderon Franco, D. (author), Orschler, Laura (author), Lackner, Susanne (author), Agrawal, Shelesh (author), Weissbrodt, D.G. (author)
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemia has been one of the most difficult challenges humankind has recently faced. Wastewater-based epidemiology has emerged as a tool for surveillance and mitigation of potential viral outbreaks, circumventing biases introduced by clinical patient testing. Due to the situation...
journal article 2022
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