In the last few decades, wind energy has become a significant source of the renewable energy system, and it is essential to use wind energy for generating power and run the wind turbine system (WTs) at a higher level. With the rapid penetration of wind energy in the distributed generation system (DGS) and isolated micro-grid (MG), the WT runs at its optimal energy conversion output. For this, WT has to track or drive at the optimal power point tracking algorithm. However, various publications are available on MPPT algorithms for wind energy system (WES) applications, making a choice on exact trackers for a particular algorithm because each tracker has its advantages and disadvantages. Therefore, our primary goal is to review and evaluate the exact tracking algorithm for WES applications in this manuscript. To introduce the power controller, it is essential to track maximum power despite wind energy results. Besides, many algorithms have been evaluated, and their maximum output is achieved compared to their performance. This research paper will help researchers provide an accurate reference for future recommendations by selecting the best tracking algorithms in WES.
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http://dx.doi.org/10.1007/s11356-020-11558-6 | DOI Listing |
Int J Environ Health Res
January 2025
Health Sciences Institute, University for International Integration of the Afro-Brazilian Lusophony, Redenção, Ceará, Brazil.
Climate change poses a significant threat to human health. Long-term climate effects on childhood asthma hospitalizations depend on the population's geographic region. These effects in tropical drylands are not well understood.
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January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.
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Permanent Representation of Spain to the EU, Brussels, Belgium.
Objective: The fisheries sector is essential to the economies of developing countries, but it is a contributor to greenhouse gas emissions. Although emissions can be substantially reduced through energy efficiency measures, compliance with the Paris Agreement of 2015 requires further action through national frameworks for the decarbonization of fishing vessels. The objective of this paper is to explain the impact in greenhouse gas emissions from fishing vessels, discuss the possible regulatory indexes that could be made applicable to fishing vessels and how these ships can transition to alternative and low carbon fuels, identifying the main challenges in view of accident analysis and inspections.
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January 2025
Inner Mongolia Autonomous Region Ecological and Agricultural Meteorological Center, Hohhot, 010040, China.
Climate warming has become a hot issue of common concern all over the world, and wind energy has become an important clean energy source. Wind farms, usually built in wild lands like grassland, may cause damage to the initial ecosystem and biodiversity. However, the impact of wind farms on the functional diversity of plant communities remains a subject with unclear outcomes.
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January 2025
College of New Energy and Environment, Jilin University, Changchun, 130012, China.
Land use and land cover changes (LULCC) alter local surface attributes, thereby modifying energy balance and material exchanges, ultimately impacting meteorological parameters and air quality. The North China Plain (NCP) has undergone rapid urbanization in recent decades, leading to dramatic changes in land use and land cover. This study utilizes the 2020 land use and land cover data obtained from the MODIS satellite to replace the default 2001 data in the Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model.
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