1,721,060 research outputs found

    Load modeling and scheduling optimization for energy sharing in prosumers network

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    In the smart home scenario, the deployment of smart meters, smart sensors and home energy management systems (HEMSs) is expected to enable the optimal and dynamic schedule of the domestic energy devices according to different objectives (e.g. self-consumption maximization, peak-period consumption avoidance and emission reduction), while keeping satisfied end-users comfort constraints. However, despite interesting results can be achieved at single-house level, only HEMSs interaction under new business models (e.g. P2P markets) are expected to unleash most of the untapped value. For these reasons, we aim to develop a HEMS model with the right compromise between accuracy and computational burden, suitable to investigate the HEMS performances both at single house level, as in this work, and at community level through a multi-agent simulation framework for future researches. In order to find realist optimal schedule from an end-user perspective, we incorporate detailed sub-models to optimize the trade-off between cost and comfort with a Mixed Integer Linear Problem (MILP) formulation. We consider wet appliances (dish washer, washing machine and tumble dryer), thermal appliances, an energy storage system (ESS) and PV modules. Reported results on the scheduling optimization show the potentiality of the proposed approach

    A Statistical Method to Compute the Dynamic Coefficients of a Tilting Pad Journal Bearing

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    In this work, a statistical method to determine the dynamic coefficients of Tilting Pad Journal Bearings (TPJBs) is described. The method is based on a priori modelling of the dependency of the dynamic coefficients on the excitation frequency, on the estimation of the forces acting on bearing as a function of the estimated displacements (using a linear model) and, finally, on a search of the optimum functions by minimization of the squares of the normalized residuals of displacements and forces on bearings. Normalization is done by dividing the residuals by estimating the standard deviation of the forces and displacements. The results for a flooded Rocker Back TPJB are presented

    Near-BPS baby Skyrmions with Gaussian tails

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    We consider the baby Skyrme model in a physically motivated limit of reaching the restricted or BPS baby Skyrme model, which is a model that enjoys area-preserving diffeomorphism invariance. The perturbation consists of the kinetic Dirichlet term with a small coefficient ε as well as the standard pion mass term, with coefficient εm12. The pions remain lighter than the soliton for any ε and therefore the model is physically acceptable, even in the ε → 0 limit. The version of the BPS baby Skyrme model we use has BPS solutions with Gaussian tails. We perform full numerical computations in the ε → 0 limit and even reach the strict ε = 0 case, finding new nontrivial BPS solutions, for which we do not yet know the analytic form
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