This report focuses on the feasibility of the power-to-ammonia concept. Power-to-ammonia uses produced excess renewable electricity to electrolyze water, and then to react the obtained hydrogen with nitrogen, which is obtained through air separation, to produce ammonia. This process may be used as a “balancing load” to consume excess electricity on the grid and maintain grid stability. The product, ammonia, plays the role of a chemical storage option for excess renewable energy. This excess energy in the form of ammonia can be stored for long periods of time using mature technologies and an existing global infrastructure, and can further be used either as a fuel or a chemical commodity. Ammonia has a higher energy density than hydrogen; it is easier to store and transport than hydrogen, and it is much easier to liquefy than methane, and offers an energy chain with low carbon emissions.The objective of this study is to analyze technical, institutional and economic aspects of power-to-ammonia and the usage of ammonia as a flexible energy carrier.
Reducing the use of pesticides by early visual detection of diseases in precision agriculture is important. Because of the color similarity between potato-plant diseases, narrow band hyper-spectral imaging is required. Payload constraints on unmanned aerial vehicles require reduc- tion of spectral bands. Therefore, we present a methodology for per-patch classification combined with hyper-spectral band selection. In controlled experiments performed on a set of individual leaves, we measure the performance of five classifiers and three dimensionality-reduction methods with three patch sizes. With the best-performing classifier an error rate of 1.5% is achieved for distinguishing two important potato-plant diseases.
MULTIFILE
In this paper we propose a head detection method using range data from a stereo camera. The method is based on a technique that has been introduced in the domain of voxel data. For application in stereo cameras, the technique is extended (1) to be applicable to stereo data, and (2) to be robust with regard to noise and variation in environmental settings. The method consists of foreground selection, head detection, and blob separation, and, to improve results in case of misdetections, incorporates a means for people tracking. It is tested in experiments with actual stereo data, gathered from three distinct real-life scenarios. Experimental results show that the proposed method performs well in terms of both precision and recall. In addition, the method was shown to perform well in highly crowded situations. From our results, we may conclude that the proposed method provides a strong basis for head detection in applications that utilise stereo cameras.
MULTIFILE
In dit project wordt de haalbaarheid bestudeerd voor het maken van nanoporeuze membranen met behulp van gangbare processen in de halfgeleiderindustrie. Nanoporeuze membranen bieden onder meer de mogelijkheid om op energie-efficiënte en milieuvriendelijke manier water te ontzouten of het scheiden van vluchtige componenten als alternatief voor destillatie. Recent zijn veel nieuwe nanoporeuze materialen gerapporteerd. Succesvolle toepassingen op het gebied van katalyse, sensoren en scheidingen, waaronder ook eerste voorbeelden van kleinschalige nanofiltratie, geven de potentie van dergelijke materialen aan voor een toepassing op het gebied van nanofiltratie op grotere schaal. Echter, het ontbreekt momenteel aan goede, eenvoudige methoden om deze opschaling voor ultradunne (sub-micron), nanoporeuze membranen te realiseren. In dit project zal wordt een methode bestudeerd en geïmplementeerd waarmee dit wel mogelijk is.
