Forecasting Solar Wind Speeds
نویسنده
چکیده
By explicitly taking into account effects of Alfvén waves, I derive from a simple energetics argument a fundamental relation which predicts solar wind (SW) speeds in the vicinity of the earth from physical properties on the sun. Kojima et al. recently found from their observations that a ratio of surface magnetic field strength to an expansion factor of open magnetic flux tubes is a good indicator of the SW speed. I show by using the derived relation that this nice correlation is an evidence of the Alfvén wave which accelerates SW in expanding flux tubes. The observations further require that fluctuation amplitudes of magnetic field lines at the surface should be almost universal in different coronal holes, which needs to be tested by future observations. Subject headings: magnetic fields – plasmas – Sun: corona – Sun: solar wind – waves
منابع مشابه
1 Spatial Dependence Modeling of Wind Resource under 2 Uncertainty Using C - Vine Copulas and Its Impact on 3 Solar - Wind Energy Co - Generation 4
1 University of Waterloo, Ontario, Canada N2L 3G1; {a22naray, ponnu}@uwaterloo.ca 6 2 University of Massachusetts Lowell, Massachusetts, USA 01854; [email protected] 7 * Correspondence: [email protected], Tel.: +1-519-888-4567 x31450 8 Abstract: Investments in wind and solar power are driven by the aim to maximize the utilization of 9 renewable energy (RE). This results in an increas...
متن کاملEmpirical Solar Wind Forecasting from the Chromosphere
Recently, we correlated the inferred structure of the solar chromospheric plasma topography with solar wind velocity and composition data measured at 1 AU. We now offer a physical justification of these relationships and present initial results of a empirical prediction model based on them. While still limited by the fundamentally complex physics behind the origins of the solar wind and how its...
متن کاملEconomic assessment of renewable power generation based on wind speed and solar radiation in urban regions
Economic evaluation of 12 MW grid-connected wind farms and PV power plants in two regions in Northern Cyprus for electricity generation was investigated. The wind speed, sunshine duration, and solar global radiation characteristics were analyzed using monthly data collected over 17 years (2000-2016) for Girne and nine years (2008-2016) for Lefkoşa, which were measured at various heights. The re...
متن کاملSolar Power Forecasting Using Support Vector Regression
Generation and load balance is required in the economic scheduling of generating units in the smart grid. Variable energy generations particularly from wind and solar energy resources are witnessing a rapid boost, and, it is anticipated that with a certain level of their penetration, they become noteworthy sources of uncertainty. As in the case of load demand, energy forecasting can also be use...
متن کاملForecasting of Time Series of Wind and Solar Energy by Using AMeDAS Data
The forecasting of time series of the wind and solar energy is necessary for the prevention from global warming. This paper explains the technique of time series forecast of the wind power energy and solar energy by using ten minutes intervals meteorological data obtained by AMeDAS(Automated Meteorological Data Acquisition System). We discuss an application of a neural network for forecasting t...
متن کامل