Residential energy use in Oman: a scoping study

The Authority for Electricity Regulation (AER) Oman is addressing the nationally important issue of energy efficiency in residential premises. Reducing energy use in Oman’s residential sector has the potential to reduce the cost of energy subsidies, the consumption of indigenous gas resources and the cost of constructing the infrastructure required to meet growing peak demand. Improving the efficiency of the residential stock may also create benefits for the Omani public through more comfortable living conditions and reduced energy costs. In order to deliver these benefits, it is first necessary to measure and evaluate the current state of the built stock to understand how energy is used. This is not a simple task because energy use at the residential level is driven by the complex interaction between the household’s demands for energy services, the building fabric and its systems. In recognition of this challenge, AER contracted PassivSystems (an innovative home energy management services company) and the Energy Institute, University College London (a world-leading centre of energy research) to carry out

Mechanical Behaviour, Contact Pose Estimation, and Finite Element Analysis of Vision Based Tactile Sensors Fabricated by Molding and Direct Ink Writing: A Comparative Study

Publication status: PublishedFunder: Advanced Research and innovation centerFunder: STRATA Manufacturing PJSC (a Mubadala company)Funder: Khalifa University of Science and Technology This work pioneers the application of direct ink writing (DIW) to fabricate elastomeric additively manufactured vision based tactile sensor (VBTS). DIW cuts down the fabrication time by 76%, allowing design precise control and reducing the complexities of the process compared to the state‐of‐the‐art (SOTA) molding techniques. Successful fabrication of DIW sensor is verified in three stages. Firstly, the mechanical characteristics of the DIW sensor are at par with those of SOTA molded Ecoflex in terms of depth of compression, compression rate, and the number of cycles. Secondly, using robotic pose estimation as a demonstration, the force enables deformation in the DIW sensor shows comparable normality estimation performance to that of the SOTA Ecoflex with a mean absolute error of less than 0.6°. Thirdly, finite element analysis (FEA) of DIW and SOTA Ecoflex sensors using Yeoh model shows similar stress and strain distributions as another evidence of DIW deformability and durability signaling sensor's successful fabrication.</jats:p