Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine

Wind farm control is one of the solutions recently proposed to increase the overall energy production of a wind power plant. A generic wind farm control is typically synthesized so as to optimize the energy production of the entire wind farm by reducing the detrimental effects due to wake–turbine interactions. As a matter of fact, the performance of a farm control is typically measured by looking at the increase in the power production, properly weighted through the wind statistics. Sometimes, fatigue loads are also considered in the control optimization problem. However, an aspect which is rather overlooked in the literature on this subject is the evaluation of the impact that a farm control law has on the individual wind turbine in terms of maximum loads and dynamic response under extreme conditions. In this work, two promising wind farm controls, based on wake redirection (WR) and dynamic induction control (DIC) strategy, are evaluated at the level of a single front-row wind turbine. To do so, a two-pronged analysis is performed. Firstly, the control techniques are evaluated in terms of the related impact on some specific key performance indicators, with special emphasis on ultimate loads and maximum blade deflection. Secondarily, an optimal blade redesign process is performed with the goal of quantifying the modification in the structure of the blade entailed by a possible increase in ultimate values due to the presence of wind farm control. Such an analysis provides for an important piece of information for assessing the impact of the farm control on the cost-of-energy model.

ВИЗНАЧЕННЯ ПАРАМЕТРІВ ФОТОЕЛЕКТРИЧНОЇ СИСТЕМИ З АКУМУЛЯТОРОМ ДЛЯ ПОТРЕБ ЛОКАЛЬНОГО ОБ’ЄКТУ

Purpose. Improving the methodology for determining the parameters of a photoelectric system with a battery for the needs of a local object using archival data of the generation of a photoelectric battery with planning the cost of energy consumption from the network for all seasons of the year.Methodology. Using an archive of data on the power generation of a photoelectric battery and analysis of energy processes in a photoelectric system with a battery using computer simulation.Findings. Calculated according to the archive data for five years, the average monthly values of photoelectric battery generation power for time intervals during the day determined according to tariff zones. Dependencies to determine the recommended average value load power of a local object at time intervals.Originality. It is proposed to determine the base schedule of the local facility and the parameters of the photoelectric system based on the average monthly values of photoelectric battery generation in the transition seasons – October, March and the expected cost of energy consumed from the grid during the year. The recalculation of the base value of power during the year is substantiated taking into account the duration of daylight. A method for determining the recommended load schedule of a local object with the formation of the battery charge according to the average monthly value of the photoelectric battery generation power at time intervals during the day, which are determined by archival data for the object location.Practical value. The obtained solutions are the basis for designing photoelectric systems with a battery to meet the needs of local objects.

Multi-Objective Optimal Performance of a Hybrid CPSD-SE/HWT System for Microgrid Power Generation

A new integrated hybrid solar thermal and wind-based microgrid power system is proposed. It consists of a concentrated parabolic solar dish Stirling engine, a wind turbine, and a battery bank. The electrical power curtailment is diminished, and the levelised cost of energy is significantly reduced. To achieve these goals, the present study conducts a dynamic performance analysis over one year of operation. Further, a multi-objective optimisation model based on a genetic algorithm is implemented to optimise the techno-economic performance. The MATLAB/Simulink® software was used to model the system, study the performance under various operating conditions, and optimise the proposed hybrid system. Finally, the model has been implemented for a specific case study in Mafraq, Jordan. The system satisfies a net power output of 1500 kWe. The developed model has been validated using published results. In conclusion, the obtained results reveal that the optimised model of the microgrid can substantially improve the overall efficiency and reduce the levelised cost of electricity.

Energy sustainability alternatives for the Home for the elderly Maty, in the community of Villa Juárez, Aguascalientes

Base on the objectives of the 2030 Schedule, for sustainable development for the benefit of people and the planet and, with the visionary commitment of the Universidad Tecnológica de Aguascalientes to contribute to the sustainable development of the various sectors, this article presents five alternatives of energy sustainability for the benefit of the Hogar del Abuelo Maty nursing home, located in the community of Villa Juárez, municipality of Asientos in the state of Aguascalientes. The document describes the context of this Institution, its energy consumption situation, the dynamics and operating status of equipment that requires electricity for basic healthcare services. Under a sustainability approach, the objective of this work is to provide resilient energy alternatives, aimed at generating, saving or efficient use of energy and caring for the environment. Following the applied research methodology, knowledge of photovoltaic systems allows the development of alternatives to meet a need for social impact. The main contributions derived from any of these are the positive impact generated in reducing the cost of energy consumption, caring for the environment and adult care services provided with clean energy.

Flutter Behavior of Highly Flexible Two- and Three-bladed Wind Turbine Rotors

With the progression of novel design, material, and manufacturing technologies, the wind energy industry has successfully produced larger and larger wind turbine rotor blades while driving down the Levelized Cost of Energy (LCOE). Though the benefits of larger turbine blades are appealing, larger blades are prone to aero-elastic instabilities due to their long, slender, highly flexible nature, and this effect is accentuated as rotors further grow in size. In addition to the trend of larger rotors, new rotor concepts are emerging including two-bladed rotors and downwind configurations. In this work, we introduce a comprehensive evaluation of flutter behavior including classical flutter, edgewise vibration, and flutter mode characteristics for two-bladed, downwind rotors. Flutter speed trends and characteristics for a series of both two- and three-bladed rotors are analyzed and compared in order to illustrate the flutter behavior of two-bladed rotors relative to more well-known flutter characteristics of three-bladed rotors. In addition, we examine the important problem of blade design to mitigate flutter and present a solution to mitigate flutter in the structural design process. A study is carried out evaluating the effect of leading edge and trailing edge reinforcement on flutter speed and hence demonstrates the ability to increase the flutter speed and satisfy structural design requirements (such as fatigue) while maintaining or even reducing blade mass.

Techno-Economic and Environmental Assessment of the Hybrid Energy System Considering Electric and Thermal Loads

Optimal sizing of hybrid energy systems has been considerably investigated in previous studies. Nevertheless, most studies only focused on providing AC electric loads by renewable energy sources (RESs) and energy storage systems (ESSs). In this paper, a hybrid energy system, including photovoltaic (PV) system, ESS, fuel cell (FC), natural gas (NG) boiler, thermal load controller (TLC), and converter is optimized for supplying different load demands. Three scenarios are introduced to investigate the feasibility of the energy system. Environmental aspects of each system are analyzed, as there are NG-consuming sources in the system structure. A sensitivity analysis is conducted on the influential parameters of the system, such as inflation rate and interest rate. Simulation results show that the proposed hybrid energy system is economically and technically feasible. The net present cost (NPC) and cost of energy (COE) of the system are obtained at $230,223 and $0.0409, respectively. The results indicate that the TLC plays a key role in the optimal operation of the PV system and the reduction in greenhouse gas emission productions.

Political-Optimizer-Based Energy-Management System for Microgrids

This paper presents an energy-management strategy based on a recently introduced Political Optimizer (PO) for a microgrid installation at Wroclaw University of Science and Technology. The aim of the study is to check the effectiveness of two recently introduced meta-heuristic algorithms at power-system-operations planning. The optimization algorithms were compared with other conventional meta-heuristics wherein performance tests were carried out by minimizing costs in an IEEE 30-bus system. The best performing algorithm was then used to minimize the Levelized Cost of Energy (LCOE) in a microgrid consisting of renewable energy sources such as solar PV panels, a micro-hydro power plant, a fuel cell with a hydrogen storage tank and a Li-ion storage unit.