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806,433 result(s) for "Winds."
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What is wind?
\"What Is Wind? introduces readers to the science behind that question, explaining the physics behind the phenomenon through graphs and activities. Easy-to-understand summaries following each chapter highlights the most important points for review.\"--Amazon.com.
How come it's windy?
\"Explains in simple terms the science behind wind and includes a glossary and the Beaufort Scale\"--Provided by publisher.
Greening the wind : environmental and social considerations for wind power development
Wind power is widely regarded as a key component of an environmentally sustainable, low-carbon energy future because it is renewable, requires almost no water, and generates near-zero emissions of greenhouse gases and other pollutants. Nonetheless, wind power development can involve significant environmental and social impacts that need to be fully recognized and appropriately managed. Of particular concern are (i) biodiversity-related impacts upon birds, bats, and natural habitats; (ii) visual impacts, noise, radar and telecommunications interference, and other local nuisance impacts; and (iii) land acquisition, benefits-sharing, indigenous communities, and other socio-economic and cultural issues.This book, Greening the Wind: Environmental and Social Considerations for Wind Power Development in Latin America and Beyond, describes the key environmental and social impacts that are associated with large-scale, grid-connected wind power development. It builds upon recent World Bank experience with wind power development in Latin America and other regions where wind power is growing rapidly. The book describes good practices and provides advice for the planning, construction, and operation of land-based wind power projects in ways that can (i) avoid significant harm to birds, bats, and natural habitats; (ii) manage visual and other local impacts in ways acceptable to most stakeholders; and (iii) effectively address compensation, benefits-sharing, and socio-cultural concerns. It provides information to enable wind project investors and operators, governments, development organizations, researchers, NGOs, and others to support wind power with reduced adverse environmental and social impacts—thereby enhancing the long-term sustainability of this renewable energy technology. Specific chapters cover (i) key characteristics and trends in wind power development; (ii) making wind power safer for biodiversity; and (iii) addressing the social impacts of wind power development.
Stilling and Recovery of the Surface Wind Speed Based on Observation, Reanalysis, and Geostrophic Wind Theory over China from 1960 to 2017
Surface wind speed (SWS) from meteorological observation, global atmospheric reanalysis, and geostrophic wind speed (GWS) calculated from surface pressure were used to study the stilling and recovery of SWS over China from 1960 to 2017. China experienced anemometer changes and automatic observation transitions in approximately 1969 and 2004, resulting in SWS inhomogeneity. Therefore, we divided the entire period into three sections to study the SWS trend, and found a near-zero annual trend in the SWS in China from 1960 to 1969, a significant decrease of −0.24 m s−1 decade−1 from 1970 to 2004, and a weak recovery from 2005 to 2017. By defining the 95th and 5th percentiles of daily mean wind speeds as strong and weak winds, respectively, we found that the SWS decrease was primarily caused by a strong wind decrease of −8% decade−1 from 1960 to 2017, but weak wind showed an insignificant decreasing trend of −2% decade−1. GWS decreased with a significant trend of −3% decade−1 before the 1990s; during the 1990s, GWS increased with a trend of 3% decade−1 whereas SWS continued to decrease with a trend of 10% decade−1. Consistent with SWS, GWS demonstrated a weak increase after the 2000s. After detrending, both SWS and GWS showed synchronous decadal variability, which is related to the intensity of Aleutian low pressure over the North Pacific. However, current reanalyses cannot reproduce the decadal variability and cannot capture the decreasing trend of SWS either.
When the wind blows
\"With a poetic text and ... landscape paintings, this picture book explores the many facets of the wind and shows how blowing wind generates power as it introduces very young children to basic physics and engineering concepts\"--Amazon.com.
Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model
A new wind farm parameterization has been developed for the mesoscale numerical weather prediction model, the Weather Research and Forecasting model (WRF). The effects of wind turbines are represented by imposing a momentum sink on the mean flow; transferring kinetic energy into electricity and turbulent kinetic energy (TKE). The parameterization improves upon previous models, basing the atmospheric drag of turbines on the thrust coefficient of a modern commercial turbine. In addition, the source of TKE varies with wind speed, reflecting the amount of energy extracted from the atmosphere by the turbines that does not produce electrical energy. Analyses of idealized simulations of a large offshore wind farm are presented to highlight the perturbation induced by the wind farm and its interaction with the atmospheric boundary layer (BL). A wind speed deficit extended throughout the depth of the neutral boundary layer, above and downstream from the farm, with a long wake of 60-km e-folding distance. Within the farm the wind speed deficit reached a maximum reduction of 16%. A maximum increase of TKE, by nearly a factor of 7, was located within the farm. The increase in TKE extended to the top of the BL above the farm due to vertical transport and wind shear, significantly enhancing turbulent momentum fluxes. The TKE increased by a factor of 2 near the surface within the farm. Near-surface winds accelerated by up to 11%. These results are consistent with the few results available from observations and large-eddy simulations, indicating this parameterization provides a reasonable means of exploring potential downwind impacts of large wind farms.
Wind
Illustrations and simple text explain what wind is, how it is used by plants, birds, and people, and how wind can become a storm.
Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1)
Wind farms affect local weather and microclimates; hence, parameterizations of their effects have been developed for numerical weather prediction models. While most wind farm parameterizations (WFPs) include drag effects of wind farms, models differ on whether or not an additional turbulent kinetic energy (TKE) source should be included in these parameterizations to simulate the impact of wind farms on the boundary layer. Therefore, we use aircraft measurements above large offshore wind farms in stable conditions to evaluate WFP choices. Of the three case studies we examine, we find the simulated ambient background flow to agree with observations of temperature stratification and winds. This agreement allows us to explore the sensitivity of simulated wind farm effects with respect to modeling choices such as whether or not to include a TKE source, horizontal resolution, vertical resolution and advection of TKE. For a stably stratified marine atmospheric boundary layer (MABL), a TKE source and a horizontal resolution on the order of 5 km or finer are necessary to represent the impact of offshore wind farms on the MABL. Additionally, TKE advection results in excessively reduced TKE over the wind farms, which in turn causes an underestimation of the wind speed deficit above the wind farm. Furthermore, using fine vertical resolution increases the agreement of the simulated wind speed with satellite observations of surface wind speed.