Søk i SINTEF

This paper describes a decision-making and support framework for energy efficient and flexible production planning and scheduling. The framework aims to provide guidelines to align the design and development of the energy-aware production scheduling decision support systems with the requirements and...

The causes of colour in beryl have been a research topic for decades. For some varieties, such as emerald (green, coloured by Cr3+ and/or V3+), the main cause of colour is substitutions by metal atoms within the framework. However, the causes for the yellow and blue colours in heliodor, golden beryl...

To test two newly developed methods for location of earth faults in closed-ring distribution networks, field tests have been carried out in a ring-operated 22 kV resonant grounded network. The results demonstrate poorer accuracy than expected, so this paper presents analyses of some likely sources...

The development of floating photovoltaic systems (FPV) for coastal and offshore locations requires a solid understanding of a design’s hydrodynamic performance through reliable methods. This study aims to extend insights into the hydrodynamic behavior of a superficial multi-body FPV system in mild...

A metal supported design is desirable for ceramic electrochemical cells because of its robustness. Yet, a strong alkaline character and a refractory nature of the electrolyte material make it challenging to densify onto a steel component. Here we show a metal supported protonic ceramic cell (MS-PCC...

In this work, partial protonic conductivity in mixed conducting (BZCY721) and BaGd0.3La0.7Co2O6−δ (BGLC137) was studied. For this purpose, a modified DC Hebb–Wagner polarization method was used. A four-wire type of galvanic cell as well as a suitable calculation model was applied. The method was...

Standard treatment of patients with glioblastoma includes surgical resection of the tumor. The extent of resection (EOR) achieved during surgery significantly impacts prognosis and is used to stratify patients in clinical trials. In this study, we developed a U-Net-based deep-learning model to...