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The “international network initiative on safe and sustainable nanotechnology” (INISS-nano) is focussing on the collaboration in different fields pertaining to nanotechnology research in general and nano-safety research in particular. This shall include collaboration in terms of e.g., training, standardisation efforts, test-guidelines development, metrology, commercialisation, ethical aspects, respsonible science and research, sustainability, and joint research, supporting governance, regulatory guidance, and of course being open for further joint working items. This document is a revision of the first version (which has been published in June 2021) and shows descriptions and an action plan for each of the pillars: Harmonization Support industrial understanding Sharing / facilitate sharing of resources / infrastructures International collaboration on ethical and societal aspects of nanotechnology

Working in a multidisciplinary smart grid research as social scientists, we show how engineering and economic models design and restrict users to a limited set of features. This poor design puts a priori limits to possible uses. In contrast, we argue that users can be "designed" as interested in and open to devices that concern them. info:eu-repo/semantics/published SCOPUS: cp.p

The biological activities of invertebrates are influenced by environmental factors. Surface feeding soil animals such as epigeic earthworms are likely to be influenced by the type and intensity of light unlike deep dwelling species which live in dark. This study reports the effects of low intensity light exposures on the survivability, biomass, vermicomposting efficiency, tissue protein, lipid peroxidation and activities of three stress enzymes, acetylcholinesterase, lactate dehydrogenase and catalase of the vermicomposting earthworm, Eudrilus eugeniae. Consistent exposure of the animal to low intensity white, blue, green and red LED lights for 42 days in semi-decomposed organic substrate indicated decreased protein level, increased lipid peroxidation and enzyme activities in the animal with respect to those kept in dark. The study further indicated that darkness favours survivability, biomass gain and vermicomposting efficiency in this earthworm. Invertebrate Survival Journal, Vol 16 No 1 (2019)

Standards and mandatory legislations concerning minimum efficiencies of electric motors have entered our world of electromechanical drive trains over the last years. It was a logical step to consider these elements as they account for the largest amount of energy consumption in the European industry. The European ecodesign measures count for 40% of total estimated savings in electric motors by 2020. However, not only the driving motor has to be considered when it comes to optimizing the drive train efficiency. This paper shows the saving potential in other drive train components based on measurement campaigns during several research projects at Ghent University Campus Kortrijk.

More electric aircraft is an electrification scheme of aircraft system with high technical feasibility and good economy. It can reduce the weight of aircraft structure, improve maintenance efficiency and reduce fire hazards. However, the electrification of aircraft system will drastically increase the proportion of electrical equipment, the total power demand and the difficulty of fault diagnosis. This paper uses the energy management method to take up the challenge, with focus on fault diagnosis of permanent-magnet synchronous machines (PMSMs), adaptive load shedding and energy efficient aircraft design. A literature review of the concept evolution from all/more-electric aircraft to energy-optimized aircraft is presented. The main issues of the aircraft electrification process are summarized, and followed by an introduction to the current research and methods. The model of the aircraft electrical system is qualitatively and mathematically recalled, including the generator, the battery, the DC motor, the AC motor, and the electric power converter. The accuracy and computation cost of the aircraft model depends on the complexity of the subsystem models that are involved. Therefore, the level of detail that is necessary for a good precision-versus-simulation-time ratio is discussed by taking the electric system of an industrial level hybrid energy quadcoptor UAV as an example. The analysis shows that the bi-directional instruments, i.e. the electric machine, should be modeled in details while other components can be simplified. PMSMs are a group of on-board electric machines with promising future prospects because of high power density and stability. The model of PMSMs is further developed in this work, especially in the inter-turn and phase-to-phase short-circuit conditions. In case of inter-turn short-circuit fault, a winding-function-based and a fault-current-based model are separately developed. The accuracy of both models are verified and compared through experimental results. The fault-current-based modeling method is applied to the phase-to-phase short-circuit fault and experimentally examined and discussed. General condition monitoring methods require the use of a large number of sensors. A fault detection and isolation method that can have low requirement of sensor is recalled and inherited. The description of the fault phase identification index using this method is relatively imprecise, which is not applicable to the inter-turn short-circuit fault. In this work, the analytical expression of the faulty phase identification index is derived based on the fault models. A method to isolate inter-turn and phase-to-phase short-circuit faults is proposed by a combination of the current- and the voltage-signature residuals. This development expands the application scope of the original fault detection and isolation tool and improves its accuracy. The validity of this fault diagnosis method has been verified by experimental results.Load management is developed to guarantee the normal operation of critical loads by shedding some other loads in case of emergency. Generally, binary decisions are made: either something has gone wrong or everything is fine. However, different types of fault influence the working performance of the load and the entire network in different ways. There are multiple states between totally wrong and pure fine, and the load management decision should be adaptive to each state. In this work, fuzzy logic method is used to degrade the load priority according to the instantaneous working state. Combining it with the fault detection and isolation process, a fault-tolerant adaptive load management is achieved. Finally, this work discusses the aircraft design from the energy management point of view, which consists of the energy efficiency analysis and the multidisciplinary energy efficient design of the integrated aircraft system. The first thermodynamic efficiency has been widely used as a common parameter for depicting the energy utilization, i.e. the ratio of output to input power of the system. However, it ignores the irreversible increase of the entropy and cannot reveal the upper limit of the available work of the system.Based on the second thermodynamic law, this work uses the exergy parameters to analyze the energy utilization of a MEA design scheme. Based on the exergy analysis, an energy-efficient aircraft design method is proposed by optimizing the exergy lost of the whole design. The method could provide a global optimization reference for the integrated aircraft design of a MEA. Doctorat en Sciences de l'ingénieur et technologie info:eu-repo/semantics/nonPublished

Cluster head selection and energy utilization are efficiently managed using a conventional routing mechanism employing Wireless Sensor Nodes (WSNs). The paper propose a method to enhance network lifetime with an average greater energy utilization. The SVM is used to tackle routing problems in the mobile base station connected with the infrastructure network. The protocol is intended to avoid the control by a centralised router or mobile base station of the complete mobile sensor nodes. In comparison to traditional energy efficient algorithms, the validation of SVM methodology shows an effective routing efficacy. The results against typical routing techniques over WSNs have been found successful.

Public engagement has been considered key to sustainable energy transitions and action to tackle climate change, as effective policy strategies require public support and acceptance. However, public perspectives on the challenges of climate change and energy transition still need to be better explored, and effective public engagement should not be taken for granted. Specific socio-political contexts, infrastructures, and practices, among other factors, may condition the acceptance and adoption of changes. In this presentation, we highlight climate justice and energy justice as well as gender differences as relevant frameworks to understand issues that may arise as forms of resistance to energy transitions and climate policies, as well as to point out that such changes may aggravate forms of inequity, and lack of trust. We do this by analysing data from the latest edition of the European Social Survey. We focus on two countries: Belgium and Portugal, to investigate how high levels of concern about climate change and support for renewable energy relate to the divide between people with low income, and the more educated and well off.