scholarly journals Nature of the Wind, the Culture of the Landscape: Toward an Energy Sustainability Project in Catalonia

2021 ◽  
Vol 13 (13) ◽  
pp. 7110
Author(s):  
Daniela Colafranceschi ◽  
Pere Sala ◽  
Fabio Manfredi
Keyword(s):  
Wind Energy ◽  
Power Plants ◽  
Wind Farms ◽  
Energy Transition ◽  
Energy System ◽  
Wind Power Plants ◽  
Nature And Culture ◽  
Geographical Scale ◽  
Sense Orientation

Landscape and energy are an inseparable and innovative binomial because of the challenges they imply and being the factors we use to measure the quality of our habitat. Presenting the report “Wind Energy and Landscape. Guidelines for a suitable installation in Catalonia”, which involved research into the methodology for installing wind farms, this article presents a critical reflection on the possible spatial, ethical, and aesthetic effects of energy transition. Landscape design interprets the convergence of territorial values with the innovation of an energy system: it is not measured on a geographical scale, but draws from geography the sense of the overwriting of everyday places, giving them sense, orientation, meaning, and narrative. The research involves ecology, society, nature, and culture. Methodologically, the approach is reversed: rather than designing a project for the correct installation of wind power plants, the project for the wind landscape is understood as new contemporary nature. Wind energy and the culture of the landscape legitimize an advance in thought on design tools, espousing the dictates of the European Landscape Convention and more recent ambitious goals set by the UN with the 2030 Agenda.

scholarly journals Development of Wind Energy and the Installed Wind Power Plants in Turkey

2020 ◽  
Vol 207 ◽  
pp. 02013
Author(s):  
Cansev Genç ◽  
Abdulla Sakalli ◽  
Ivaylo Stoyanov ◽  
Teodor Iliev ◽  
Grigor Mihaylov ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Industrial Development ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Wind Generators ◽  
Wind Power Plants

This article analyses the development of wind energy in Turkey - the number and capacity of installed wind generators, as well as the generated electricity. It was established that the number of wind power plants is 99 with a total installed capacity of 3933 MW, and the amount of electricity produced by wind power plants is 17909.3 GWh / year. Turkey has been shown to have great potential for developing electricity generation from offshore wind farms. The increase in the number of offshore wind turbines in the coming years is expected to increase the relative share of renewable sources in the country’s energy mix, to contribute to the technological and industrial development of the regions, to produce electricity from renewable and environmentally friendly sources and to reduce the country’s energy dependence. It has been established that there are appropriate conditions in Turkey for the development of wind energy and preconditions have been created for achieving the target for promoting the use of renewable energy sources by 2023.

scholarly journals The Energy Transition between profitability, participation and acceptance – considering the interests of project developers, residents, and environmentalists

2019 ◽  
Vol 49 ◽  
pp. 19-29 ◽  
Author(s):  
Stephan Bosch ◽  
Joachim Rathmann ◽  
Lucas Schwarz
Keyword(s):  
Power Plants ◽  
Energy Transition ◽  
Energy System ◽  
Renewable Energies ◽  
Social Conflicts ◽  
System Transformation ◽  
Energy Technologies ◽  
Wind Power Plants ◽  
The Social ◽  
Planning Processes

Abstract. The number of actors in the German Energy Transition as well as the planning complexity increases and new spatial implications emerge in contrast to the conventional energy system. In planning processes for Renewable Energy Technologies mostly economic approaches are chosen, but simultaneously the number of social conflicts related to wind power plants or solar energy plants is on an all-time high. The aim of the study is therefore to identify the essential parameters of a sustainable expansion of renewable energies from the diversity of potential influencing factors and to illustrate them using a regional case study and GIS. The analyses reveal the great regional assertiveness of photovoltaics, whereby wind energy can assert itself due to social parameters also at some locations. Beyond this, it is to be stated that renewable energies find themselves in intense economic and social competition for space, although the most compatible spatial solutions have not always been able to prevail so far. Nevertheless, the presented approach offers a sophisticated method to minimize the social conflicts that arise in the context of the energy system transformation.

scholarly journals Design and Simulation of a Unified Power Quality Conditioner by Fuzzy Logic for Egyptian Power Grid Connected to Zafarana Egypt Wind System

2019 ◽  
Vol 4 (9) ◽  
pp. 1-8
Author(s):  
Montaser Abd El Sattar ◽  
Adel A. Elbaset ◽  
Ali H. KasemAlaboudy ◽  
Wessam Arafa Hafez
Keyword(s):  
Wind Energy ◽  
Power Quality ◽  
Reactive Power ◽  
Power Grid ◽  
Energy System ◽  
Wind System ◽  
Unified Power Quality Conditioner ◽  
Wind Energy System ◽  
Power Quality Conditioner

Wind energy system is lately receiving a lot of attention, because they are cost inexpensive, environmental safe and clean renewable energy source, as compared with nuclear and fossil fuel power generation. The operational characteristics of wind electric turbines has considerable dissatisfaction and stress on the quality of electric power system. Harmonics, variations of voltage and reactive power are most of power quality issues for grid connected with wind turbine. This paper introduces a design and simulation of unified power quality conditioner using a fuzzy controller to improve the power quality for Egyptian power grid connected to Zafarana Egypt wind system. The proposed performance of the unified power quality conditioner system is verified by simulating the model using MATLAB/SIMULINK environment. The simulation results showed that the proposed unified power quality conditioner provide efficient cancellation of both load current  harmonics  and supply voltage sag in addition to compensation of reactive power, and thus making the electrical grid connected wind energy system more efficient by improving the quality of power.

Application of Renewable Energy System With Fuzzy Logic

2021 ◽  
pp. 1007-1032
Author(s):  
Sweta Singh ◽  
Divya Zindani ◽  
Apurba Kumar Roy ◽  
Kaushik Kumar
Keyword(s):  
Energy Consumption ◽  
Wind Energy ◽  
Site Selection ◽  
Wind Farms ◽  
Energy System ◽  
Industrial Economy ◽  
Agrarian Economy ◽  
Wind Energy Systems ◽  
Growing Population ◽  
Selection Of

There has been rapid surge in energy consumption owing to the industrialization and the growing population. There has been a shift from agrarian economy to the industrial economy. This transformation has led to increased energy consumption in tandem with the emissions associated with it. Thus, the energy consumption has led to environmental concerns. Therefore, the planning and modeling of energy resources has become critical to economic growth and should be efficiently done for securing the health of the environment as well. Looking at the importance of modeling and planning, the present chapter is an attempt to explore the fuzzy based models used for the renewable systems and in particular the wind energy systems. It has been found that the fuzzy based models have been used extensively for installation of wind farms, for optimization of the parameters related to wind systems and for the site selection of the different wind energy farms.

scholarly journals Managing Wind Power Generation via Indexed Semi-Markov Model and Copula

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4246 ◽  
Author(s):  
Guglielmo D’Amico ◽  
Giovanni Masala ◽  
Filippo Petroni ◽  
Robert Adam Sobolewski
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Energy ◽  
Output Power ◽  
Wind Turbines ◽  
Wind Farm ◽  
Energy Systems ◽  
Wind Farms ◽  
Energy System ◽  
Spatial Dependencies

Because of the stochastic nature of wind turbines, the output power management of wind power generation (WPG) is a fundamental challenge for the integration of wind energy systems into either power systems or microgrids (i.e., isolated systems consisting of local wind energy systems only) in operation and planning studies. In general, a wind energy system can refer to both one wind farm consisting of a number of wind turbines and a given number of wind farms sited at the area in question. In power systems (microgrid) planning, a WPG should be quantified for the determination of the expected power flows and the analysis of the adequacy of power generation. Concerning this operation, the WPG should be incorporated into an optimal operation decision process, as well as unit commitment and economic dispatch studies. In both cases, the probabilistic investigation of WPG leads to a multivariate uncertainty analysis problem involving correlated random variables (the output power of either wind turbines that constitute wind farm or wind farms sited at the area in question) that follow different distributions. This paper advances a multivariate model of WPG for a wind farm that relies on indexed semi-Markov chains (ISMC) to represent the output power of each wind energy system in question and a copula function to reproduce the spatial dependencies of the energy systems’ output power. The ISMC model can reproduce long-term memory effects in the temporal dependence of turbine power and thus understand, as distinct cases, the plethora of Markovian models. Using copula theory, we incorporate non-linear spatial dependencies into the model that go beyond linear correlations. Some copula functions that are frequently used in applications are taken into consideration in the paper; i.e., Gumbel copula, Gaussian copula, and the t-Student copula with different degrees of freedom. As a case study, we analyze a real dataset of the output powers of six wind turbines that constitute a wind farm situated in Poland. This dataset is compared with the synthetic data generated by the model thorough the calculation of three adequacy indices commonly used at the first hierarchical level of power system reliability studies; i.e., loss of load probability (LOLP), loss of load hours (LOLH) and loss of load expectation (LOLE). The results will be compared with those obtained using other models that are well known in the econometric field; i.e., vector autoregressive models (VAR).

scholarly journals Evolution of the HVDC Link Connecting Offshore Wind Farms to Onshore Power Systems

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1914 ◽  
Author(s):  
Roland Ryndzionek ◽  
Łukasz Sienkiewicz
Keyword(s):  
Power Systems ◽  
Power Plants ◽  
Wind Farms ◽  
Green Energy ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Promising Alternative ◽  
Offshore Wind Power ◽  
Transmission Distance ◽  
Wind Power Plants

This paper presents an overview of the DC link development and evolution dedicated to HVDC structure for connecting offshore wind power plants to onshore power systems. The growing demand for the green energy has forced investors in power industry to look for resources further out at sea. Hence, the development of power electronics and industrial engineering has enabled offshore wind farms to be situated further from the shore and in deeper waters. However, their development will require, among other technologies, DC-DC conversion systems. The advantages of HVDC over HVAC technology in relation to transmission distance are given. The different HVDC configurations and topologies of HVDC converters are elucidated. In this context, the HVDC grids are a promising alternative for the expansion of the existing AC grid.

scholarly journals Optimal Wind Turbines Micrositing in Onshore Wind Farms Using Fuzzy Genetic Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jun Yang ◽  
Rui Zhang ◽  
Qiuye Sun ◽  
Huaguang Zhang
Keyword(s):  
Genetic Algorithm ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Plants ◽  
Wind Farms ◽  
Economic Benefits ◽  
Wind Power Plants ◽  
Fuzzy Genetic Algorithm ◽  
Terrain Effect ◽  
Fuzzy Genetic

With the fast growth in the number and size of installed wind farms (WFs) around the world, optimal wind turbines (WTs) micrositing has become a challenge from both technological and mathematical points of view. An appropriate layout of wind turbines is crucial to obtain adequate performance with respect to the development and operation of the wind power plant during its life span. This work presents a fuzzy genetic algorithm (FGA) for maximizing the economic profitability of the project. The algorithm considers a new WF model including several important factors to the design of the layout. The model consists of wake loss, terrain effect, and economic benefits, which can be calculated by locations of wind turbines. The results demonstrate that the algorithm performs better than genetic algorithm, in terms of maximum values of net annual value of wind power plants and computational burden.

scholarly journals Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Sanjeev H. Kulkarni ◽  
Tumkur Ramakrishnarao Anil ◽  
Rajakumar Dyamenally Gowdar
Keyword(s):  
Wind Energy ◽  
Power Plants ◽  
Wind Farm ◽  
Pairwise Comparison ◽  
Wind Farms ◽  
Analytic Hierarchy ◽  
Healthy Environment ◽  
Indian State ◽  
Wind Energy Development ◽  
Hierarchy Process

With maturity of advanced technologies and urgent requirement for maintaining a healthy environment with reasonable price, India is moving towards a trend of generating electricity from renewable resources. Wind energy production, with its relatively safer and positive environmental characteristics, has evolved from a marginal activity into a multibillion dollar industry today. Wind energy power plants, also known as wind farms, comprise multiple wind turbines. Though there are several wind-mill clusters producing energy in different geographical locations across the world, evaluating their performance is a complex task and is an important focus for stakeholders. In this work an attempt is made to estimate the performance of wind clusters employing a multicriteria approach. Multiple factors that affect wind farm operations are analyzed by taking experts opinions, and a performance ranking of the wind farms is generated. The weights of the selection criteria are determined by pairwise comparison matrices of the Analytic Hierarchy Process (AHP). The proposed methodology evaluates wind farm performance based on technical, economic, environmental, and sociological indicators. Both qualitative and quantitative parameters were considered. Empirical data were collected through questionnaire from the selected wind farms of Belagavi district in the Indian State of Karnataka. This proposed methodology is a useful tool for cluster analysis.

scholarly journals On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece

2008 ◽  
Vol 3 (1) ◽  
pp. 015003 ◽  
Author(s):  
George Caralis ◽  
Yiannis Perivolaris ◽  
Konstantinos Rados ◽  
Arthouros Zervos
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Power Plants ◽  
Spatial Dispersion ◽  
Energy Capacity ◽  
Wind Power Plants

scholarly journals Combining Wind and Pumped Hydro Energy Storage for Renewable Energy Generation in Ireland

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Alice Coburn ◽  
Eilín Walsh ◽  
Patrick J. Solan ◽  
Kevin P. McDonnell
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Wind Energy ◽  
Power Plants ◽  
Wind Farms ◽  
Energy Generation ◽  
Western Coast ◽  
Hydroelectric Power ◽  
Wind Potential ◽  
Renewable Energy Generation

Ireland has one of the highest wind energy potentials in Europe. The intermittent nature of wind makes this renewable resource impractical as a sole source of energy. Combining wind energy with pumped hydro energy storage (PHES) can overcome this intermittency, consuming energy during low-demand periods and supplying energy for periods of high demand. Currently Ireland has a number of hydroelectric power plants and wind farms of various scales in operation. A feasibility study was conducted to investigate the potential of securing a reliable source of renewable energy by increasing the penetration of hydroelectric power by means of combined wind-PHES developments. The greatest wind potential is experienced along the western coast of Ireland and a number of sites were identified here which satisfied a minimum mean wind speed criterion of 10.5 ms−1. Each site was then further evaluated according to topographical requirements for PHES. All but two of the identified sites are immediately unsuitable due to the presence of areas protected under European legislation; this highlights the nonenergy related obstacles in the path of renewable energy generation in Ireland and suggests that a compromise should be researched which could facilitate both renewable energy generation and species and habitat protection in Europe.

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