12,502 research outputs found
Validation of Danish wind time series from a new global renewable energy atlas for energy system analysis
We present a new high-resolution global renewable energy atlas ({REatlas})
that can be used to calculate customised hourly time series of wind and solar
PV power generation. In this paper, the atlas is applied to produce
32-year-long hourly model wind power time series for Denmark for each
historical and future year between 1980 and 2035. These are calibrated and
validated against real production data from the period 2000 to 2010. The high
number of years allows us to discuss how the characteristics of Danish wind
power generation varies between individual weather years. As an example, the
annual energy production is found to vary by from the average.
Furthermore, we show how the production pattern change as small onshore
turbines are gradually replaced by large onshore and offshore turbines.
Finally, we compare our wind power time series for 2020 to corresponding data
from a handful of Danish energy system models. The aim is to illustrate how
current differences in model wind may result in significant differences in
technical and economical model predictions. These include up to
differences in installed capacity and differences in system reserve
requirements
Simulating Distributed Systems
The simulation framework developed within the "Models of Networked Analysis at Regional Centers" (MONARC) project as a design and optimization tool for large scale distributed systems is presented. The goals are to provide a realistic simulation of distributed computing systems, customized for specific physics data processing tasks and to offer a flexible and dynamic environment to evaluate the performance of a range of possible distributed computing architectures. A detailed simulation of a large system, the CMS High Level Trigger (HLT) production farm, is also presented
MuMax: a new high-performance micromagnetic simulation tool
We present MuMax, a general-purpose micromagnetic simulation tool running on
Graphical Processing Units (GPUs). MuMax is designed for high performance
computations and specifically targets large simulations. In that case speedups
of over a factor 100x can easily be obtained compared to the CPU-based OOMMF
program developed at NIST. MuMax aims to be general and broadly applicable. It
solves the classical Landau-Lifshitz equation taking into account the
magnetostatic, exchange and anisotropy interactions, thermal effects and
spin-transfer torque. Periodic boundary conditions can optionally be imposed. A
spatial discretization using finite differences in 2 or 3 dimensions can be
employed. MuMax is publicly available as open source software. It can thus be
freely used and extended by community. Due to its high computational
performance, MuMax should open up the possibility of running extensive
simulations that would be nearly inaccessible with typical CPU-based
simulators.Comment: To be published in JMM
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