51 research outputs found
Data for: Characterisation of irradiation enhanced strain localisation in a zirconium alloy
Pre- and post-deformation BSE images, displacement field calculated with LaVision DaVis 8.1.5 and post-deformation EBSD data acquired using Oxford Instruments AZTEC 3.3
MIRRAX: A Reconfigurable Robot for Limited Access Environments - Experimental Dataset
ROS Bag files of experiments conducted in support of the IEEE TRO paper "MIRRAX: A Reconfigurable Robot for Limited Access Environments
2017-12 - Combined SMR Systems GFA Final
There seems a clear need for a methodology for evaluating the claims of ânewâ reactor systems at a strategic level, to ensure that the claims of âgoodâ for the systems are considered alongside the âbadâ and the âuglyâ. This should extend to examining which are the energy futures which will extract value from any given systemâs characteristics, and which futures will reduce or remove a systemâs attributes as drivers for deployment. The common method of comparing complex systems is to use Multi-Attribute Decision Analysis (MADA). In this method a group of attributes are defined to cover the main parameters of the systems, and scores are allocated depending on how well or badly a system performs. Not all parameters will be deemed to carry the same importance, so the âscoresâ which have been compiled are âweightedâ by a set of âweighting valuesâ, and the âweighted scoresâ added to provide an overall âconsolidated scoreâ for the particular system. In 2012-2013, the National Nuclear Laboratory developed a MADA system to examine nuclear power systems, based on 42 metrics derived from those used by the Generation IV International Forum. These were subsequently divided into seven groups (Cost, PRPP, Safety, Strategic, Deployability, Sustainability, Waste) and used to assess advanced reactor systems. The approach suffered from two main disadvantages: 1. The use of a MADA with a large number of metrics makes the result very difficult to communicate meaningfully, even to committed stakeholders â there is often a shared understanding by âthose that were in the room for the analysisâ, which fails to be transferable to others. 2. The suitability of a reactor system depends very strongly on âthe world in which it must operateâ. For example, high scores for uranium economy (e.g. fast reactors) should be highly weighted in a âuranium scarceâ future, but will not feature in a âuranium plentiful and cheapâ future. Subsequently, joint working by the Dalton Nuclear Institute, IDM and NNL addressed the weaknesses of the MADA approach to evolve the Generic Feasibility Assessment technique. The key change was the recognition that, in the UK and other states with well-established nuclear programmes, safety, environmental and proliferation/security attributes are all covered by well-developed regulatory regimes â so that reactor system deployment is not about âhow safe, secure, and environmentally benignâ a system is â but rather how much time and effort must be expended to allow the system to conform with this tried and tested regulatory framework. Generic Feasibility Assessment has been applied to several advanced reactor systems (see Nuclear System Assessment). GFA was also used on the assessment of Small and Modular Reactors using Emerging Technologies which was carried out for the Department of Energy and Climate Change by the National Nuclear Laboratory, Integrated Decision Management Ltd and Dalton in 2015/16 (see Techno-Economic Assessment)
Data for: Response of Bentonite Microbial Communities to Stresses Relevant to Geodisposal of Radioactive Waste
OTU data for the 16S rRNA sequencing completed on the bentonite samples
Computational Study of Substitutions of Early Actinides and Ce into Zirconolite
Within this dataset, the coordinate data of the calculations performed in this study will be included. All calculations were performed using TURBOMOLE 7.2, 7.2.1 or 7.3. Calculations are separated by type - PEECM or molecular - with PEECM further separated by actinide substitution site and charge balancing ion
CCDC 1403733: Experimental Crystal Structure Determination
An entry from the Cambridge Structural Database, the worldâs repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 1403734: Experimental Crystal Structure Determination
An entry from the Cambridge Structural Database, the worldâs repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 1403736: Experimental Crystal Structure Determination
An entry from the Cambridge Structural Database, the worldâs repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
CCDC 1403735: Experimental Crystal Structure Determination
An entry from the Cambridge Structural Database, the worldâs repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures
A Transmission Electron Microscopy study of the neutron-irradiation response of Ti-based MAX phases at high temperatures
It contains processed and raw data that were used to produce the manuscript
- âŠ