Matthias Noebels

ORCID: 0000-0003-2330-3015
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About
Contact & Profiles
Research Areas
  • Optimal Power Flow Distribution
  • Power System Reliability and Maintenance
  • Power System Optimization and Stability
  • Infrastructure Resilience and Vulnerability Analysis
  • Solar Thermal and Photovoltaic Systems
  • Smart Grid Security and Resilience
  • Innovative Approaches in Technology and Social Development
  • Gas Sensing Nanomaterials and Sensors
  • ZnO doping and properties
  • Open Source Software Innovations
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Meteorological Phenomena and Simulations
  • Radiative Heat Transfer Studies
  • Complex Network Analysis Techniques
  • Vacuum and Plasma Arcs
  • Analytical Chemistry and Sensors
  • Conducting polymers and applications
  • Flood Risk Assessment and Management
  • High voltage insulation and dielectric phenomena
  • Green IT and Sustainability
  • Nanowire Synthesis and Applications
  • Spacecraft Design and Technology
  • Organic Electronics and Photovoltaics
  • Chalcogenide Semiconductor Thin Films

University of Manchester
2019-2025

University of Konstanz
2014-2016

International Solar Energy Research Center Konstanz
2014-2016

Aberystwyth University
2014

Atmospheric contamination with organic compounds is undesired in industry and society because of odor nuisance or potential toxicity. Resistive gas sensors made semiconducting metal oxides are effective the detection gases even at low concentration. Major drawbacks selectivity missing sensitivity toward a targeted compound. Acetaldehyde selected due to its high relevance chemical toxic character. Considering similarity between gas‐sensing heterogeneous catalysis (surface reactions, activity,...

10.1002/adfm.201505355 article EN Advanced Functional Materials 2016-04-08

Cascading failures are one of the main mechanisms causing widespread blackouts power networks. Models simulating behavior cascading widely used in literature to understand fault propagation and investigate effective mitigation strategies. However, there is a lack validated models that address specific requirements resilience analysis networks computationally fast converge reliably for very large contingency sizes may occur under extreme events. This article presents novel comprehensive ac...

10.1109/jsyst.2020.3037400 article EN cc-by IEEE Systems Journal 2020-12-04

Accounts of extreme power outages transmission systems suggest the acceleration cascading outage propagation over time and splitting cascade into a slow phase subsequent fast phase. This is significant to network operators, as mitigation actions, such load shedding, can only be effectively applied during During phase, disintegrates too quickly for any manual intervention. To supplement accounts outages, we describe observed smaller more common by analyzing data published one North American...

10.1109/tpwrs.2021.3071028 article EN cc-by IEEE Transactions on Power Systems 2021-04-05

Hybrid nanostructures have shown increasing potential as a replacement for Si solar cells due to the availability of low-cost material combinations. However, up now, hybrid cells, where photon absorption occurs in semiconducting polymer and charge separation at metal oxide-polymer interface, show limited efficiencies. One limitation is caused by relative low carrier mobility oxide. Here we addressed this issue describe use Sn:TiO2|TiO2 core–shell nanowire array increase charge-carrier core...

10.1021/jp412650r article EN The Journal of Physical Chemistry C 2014-03-14

Abstract Power outages due to cascading failures which are triggered by extreme weather pose an increasing risk modern societies and draw attention emerging need for power network resilience. Machine learning (ML) is used a real‐time selection process on preventive actions, such as topology reconfiguration islanding, aiming reduce the of failures. Training data obtained from Monte Carlo simulations events. The trained ML‐based decision‐making uses only predictors that readily available prior...

10.1049/gtd2.12287 article EN cc-by IET Generation Transmission & Distribution 2021-10-01

Security concerns have been raised about cascading failure risks in evolving power grids. This paper reveals, for the first time, that risk of failures can be increased at low network demand levels when considering security-constrained generation dispatch. occurs because critical transmission corridors become very highly loaded due to presence centralized dispatch, e.g., large thermal plants far from centers. is revealed this work by incorporating dispatch into assessment and mitigation...

10.1109/tpwrs.2023.3305093 article EN IEEE Transactions on Power Systems 2023-08-15

Cascading faults, caused by extreme weather events or other natural hazards, have been reported to be one of the main mechanism causing widespread blackouts power network. A method for preventing propagation cascading faults and thus improving network resilience is intentionally sectionalizing into islands. This paper presents a model simulating evaluates impact islanding on island adequacy using suitable metrics. The islands are created two different approaches, top-down approach based...

10.1109/ptc.2019.8810877 article EN 2019-06-01

Renewable energy like solar power is crucial for the transition to more sustainable supply and use in modern society. Buildings with rooftop panels form microgrids acting as prosumers are usually not under control of regulated companies operating public grids. Currently much work has focused on self-consumption individual microgrids. On contrary, CoSSMic system targets at a neighborhood primary goal maximize whole by co-ordinating their storage. To address challenge fluctuating partly...

10.1109/sai.2016.7555964 article EN 2016 SAI Computing Conference (SAI) 2016-07-01

The growing impact of weather-related power outages on economy and society in the last decades underlines rising need for system resilience. Power resilience can be boosted through adoption probabilistic approaches preventive actions building smart grid capabilities. Decisions best-performing action, however, are nontrivial must consider expected an upcoming event, weather forecasts, fault probabilities, their corresponding uncertainties. This article presents a three-stage decision-making...

10.1109/jsyst.2021.3108221 article EN IEEE Systems Journal 2021-10-06

CoSSMic (Collaborating Smart Solar powered Micro-grids) is an EU funded project aimed at developing a system for smart management and control of solar energy. The must be relevant to community end-users other stakeholders. Two processes are described here contribute in meeting this aim, user-centered design lean startup product design. We describe iterative approach the which incorporates these two impact it has had on results.

10.1109/i4cs.2014.6860551 article EN 2014-06-01

As the main cause of large blackouts, understanding complex interactions involved in cascading failure propagation is a critical area ongoing research. The static model failures well-accepted method to investigate effects power systems. However, as system evolves, dynamic behaviours become more variable, it necessary evaluate validity assumptions model. This paper compares and validates conventional with novel capturing frequency dynamics. N-2 contingency analysis used trigger events...

10.1109/powertech46648.2021.9495001 article EN 2021-06-28

The increasing number of large-scale power outages caused by extreme weather events or other natural hazards raises the need for higher system resilience. impacts cascading faults, one main mechanisms leading to disruptive affecting hundreds thousands people, can be mitigated intentionally sectionalizing network into stable and self-adequate islands. However, there is only little research on benefit such preventive actions grid This paper presents a model investigating performance exposed...

10.1109/isgteurope.2019.8905608 article EN 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) 2019-09-01

Preventive actions such as intentional islanding are a promising way of effectively improving power grid resilience and mitigating the propagation cascading faults caused by extreme weather events. However, stochastic nature uncertainty in forecasts make decision on whether to apply preventive action difficult. This paper presents novel strategy that utilizes probabilities provided ensemble forecasting decide prior an event identify most cost-effective action. probability-based is compared...

10.1109/powertech46648.2021.9494934 article EN 2021-06-28

Distribution network outages have significant socioeconomic impacts, and potentially pose a threat to life when critical infrastructures are affected. Shocks stresses, such as climate change, extreme weather or intentional attacks, in combination with an expected rise electricity demand, increasing risk power reliability. Detailed data on distribution can be used for further research prevention mitigation of outages. This paper presents describes unique comprehensive dataset UK The 2020 is...

10.1109/pesgm46819.2021.9638149 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2021-07-26
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