scholarly journals AERODYNAMIC OPTIMISATION OF DEVELOPED LAND SUSTAINABLE TOWER ISLAND

space&FORM ◽  
2021 ◽  
Vol 2021 (48) ◽  
pp. 171-186
Author(s):  
Mieczysław Kozaczko ◽  
◽  
Sławomir Rosolski
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Renewable Energy Sources ◽  
Land Development ◽  
Ground Level ◽  
Energy Sources ◽  
Above Ground Level ◽  
Aerodynamic Parameters ◽  
Urban Complex

Economic and usable benefits from the proper land development may be programmed as early as at the stage of designing by forming structures that are both economic and comfortable, which is in accordance with assumptions of architechnology. This work presents the method of calculating particular aerodynamic parameters of the urban complex Sustainable Tower Island in KobylnicaLigowiec. The article analyses the wind speed and its pressure on walls of buildings depending on the height above ground level. Knowing these parameters allows optimisation of the location of devices collecting energy from renewable energy sources.

scholarly journals KONDISI CUACA PADA SAAT JATUHNYA KINCIR ANGIN DI BARON TECHNOPARK YOGYAKARTA

2013 ◽  
Vol 14 (2) ◽  
pp. 69
Author(s):  
Erwin Mulyana
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Tropical Cyclone ◽  
Power Plants ◽  
Rainfall Intensity ◽  
Renewable Energy Sources ◽  
The Other ◽  
Energy Sources ◽  
Maximum Rainfall ◽  
The Indian Ocean

Intisari  Pembangkit listrik tenaga angin merupakan salah satu sumber energi terbarukan yang sifatnya ramah lingkungan. Pada tanggal 10 Januari 2013 salah satu kincir angin pembangkit listrik di Baron Technopark jatuh sementara  satu kincir angin yang lainnya baling balingnya patah. Kejadian tersebut terkait dengan adanya siklon tropis Narelle di Samudera Hindia sebelah selatan Nusa Tenggara. Pada saat kejadian, kecepatan angin di kawasan Baron Technopark mencapai 35 knot pada level ketinggian 850 mb. Intensitas hujan maksimum terjadi pada jam 01 WIB tanggal 10 Januari 2013 dengan intensitas 6 mm/3 jam. Kemungkinan besar pada saat kincir angin jatuh terjadi kecepatan angin sesaat (gust) yang sangat kuat. Diperkirakan kecepatannya mencapai lebih dari 75 knot.Abstract  Wind power is one of the renewable energy sources that are environmentally friendly. On January 10, 2013 one of windmill power plants in the Baron Technopark fall whiles the other windmill blades broken. The incident related to the presence of tropical cyclone Narelle in the Indian Ocean south of Nusa Tenggara. At the time of the incident, the wind speed in the Baron Technopark reached 35 knots at an altitude of 850 mb level. The maximum rainfall intensity occurred at 01 pm on January 10, 2013 with the intensity of 6 mm / 3 hours. Most likely at the time of the windmill wind speed falls occur shortly (gust) is very strong. It is estimated that the speed reached more than 75 knots.

scholarly journals Features of operation of wind power stations as an supplementary source of electricity for non-traction consumers of railway electric mains

2019 ◽  
pp. 36-41
Author(s):  
Kachan Yu ◽  
Kuznetsov V
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Energy Sources ◽  
Railway Transport ◽  
Supply Systems

Purpose. Identify the features of operation of wind farms as an auxiliary supplier of electricity for non-traction consumers of railway networks and analyze the main factors that directly affect the use of wind farms due to the random nature of wind flow and additional factors due to the above conditions in different climates. The research methodology is based on modern methods of computational mathematics, statistics and information analysis using modern computer technology. Findings. The need to use renewable energy sources in the power supply systems of non-traction consumers of railway transport is obvious. Given the constant growth of prices and tariffs for electricity in Ukraine, more and more attention is paid to its savings and the search for the cheapest and most affordable alternative sources. The authors consider issues related to the possibility of using additional generation of electricity in the power supply systems of railway transport through the use of wind turbines, including for non-traction consumers. The analysis of wind flow features in some regions of Ukraine was carried out, and the measurement of wind speed in Zaporizhia and Dnipropetrovsk regions was obtained with the help of a compact wind speed sensor manufactured by Micro-Step-MIS LLC (Russia). The obtained values of wind speed were recorded and stored digitally. The received information of the above device was processed. The authors conclude that in the case of using wind turbines as an additional power source in the networks of non-traction consumers of railway power supply systems it is economically advantageous to connect them directly to these networks and fully use all electricity produced by them, reducing its consumption from this power supply system. The originality is that the use of renewable energy sources in the power supply systems of non-traction consumers of railway transport, in particular wind turbines, is proposed. Practical implications. Introduction of wind power plants as an auxiliary supplier of electricity for non-traction consumers of railway power grids in order to minimize electricity costs. Keywords: renewable energy sources, quality of electric energy, wind power plant, power supply networks of railway transport, non-traction consumers of railway electric networks, electricity production, wind speed.

Statistical downscaling of wind speed time series data based on topographic variables

2021 ◽  
Author(s):  
Wenxuan Hu ◽  
Yvonne Scholz ◽  
Madhura Yeligeti ◽  
Lüder von Bremen ◽  
Marion Schroedter-Homscheidt
Keyword(s):  
Time Series ◽  
Renewable Energy ◽  
Wind Speed ◽  
Statistical Downscaling ◽  
Renewable Energy Sources ◽  
Reanalysis Data ◽  
Energy Sources ◽  
Observation Data ◽  
Weather Station ◽  
Local Topography

<p>Renewable energy sources such as wind energy play a crucial role in most climate change mitigation scenarios because of their ability to significantly reduce energy-related carbon emissions. In order to understand and design future energy systems, detailed modeling of renewable energy sources is important. In the light of making energy system modelling possible at all variability scales of local weather conditions, renewable energy source information with high resolution in both space and time are required.</p><p>Nowadays, renewable energy resources data that are widely used among the energy modeling community are reanalysis data such as ERA5, COSMO REA6, and MERRA2. Taking wind speed as an example, reanalysis data can provide long term spatially resolved wind information on any desired height in a physically consistent way. However, their spatial resolution is coarse. In order to obtain a fine spatial resolution data focusing on wind speed, this paper proposes a statistical downscaling method based on reanalysis data, observation data, and the local topography.</p><p>While most statistical wind downscaling studies have focused on obtaining site specific data or downscaling probability density functions, this paper focuses on downscaling one-year hourly wind speed time series for Europe to 0.00833 degree X 0.00833 degree (approximately 1km X 1km) resolution. It has been proven by various studies that the local topography influences wind speed. The topographic structure in this study is determined by two metrics: TPI, a topographic position index that compares the elevation of each cell to the mean elevation of the neighborhood areas and Sx, a slope-based, direction-dependent parameter that describes the topography in the upwind direction. The observation data used in this study are MeteoSwiss measurement values which provide the hourly wind speed time series at the station heights. For each weather station with observation data, biases described by the local terrain features are introduced to minimize the root mean square error (RMS) and Kolmogorov-Smirnov D (KSD) statistic between the corrected and the observed wind speed. These biases are then assigned to grid points with the same terrain types as the weather station, which enables downscaling of the wind speed for whole Europe.</p><p>The results show that this downscaling method can improve the RMS and KSD for both ERA5 and COSMO REA6, especially at mountain ridges, which indicates that it can not only decrease the bias, but also provide a better match to the observed wind speed distributions.</p>

scholarly journals Evaluation of wind energy investment with artificial neural networks

2019 ◽  
Vol 9 (2) ◽  
pp. 142-147
Author(s):  
Hasan Huseyin Yildirim ◽  
Mehmet Yavuz
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Renewable Energy ◽  
Wind Speed ◽  
Wind Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Energy Investment ◽  
Data Set

Countries aiming for sustainability in economic growth and development ensure the reliability of energy supplies. For countries to provide their energy needs uninterruptedly, it is important for domestic and renewable energy sources to be utilised. For this reason, the supply of reliable and sustainable energy has become an important issue that concerns and occupies mankind. Of the renewable energy sources, wind energy is a clean, reliable and inexhaustible source of energy with low operating costs. Turkey is a rich nation in terms of wind energy potential. Forecasting of investment efficiency is an important issue before and during the investment period in wind energy investment process because of high investment costs. It is aimed to forecast the wind energy products monthly with multilayer neural network approach in this study. For this aim a feed forward back propagation neural network model has been established. As a set of data, wind speed values 48 months (January 2012-December 2015) have been used. The training data set occurs from 36 monthly wind speed values (January 2012-December 2014) and the test data set occurs from other values (January-December 2015). Analysis findings show that the trained Artificial Neural Networks (ANNs) have the ability of accurate prediction for the samples that are not used at training phase. The prediction errors for the wind energy plantation values are ranged between 0.00494-0.015035. Also the overall mean prediction error for this prediction is calculated as 0.004818 (0.48%). In general, we can say that ANNs be able to estimate the aspect of wind energy plant productions.

scholarly journals Sustainable formation of urban development on the example of the primary real estate market in Krakow

2019 ◽  
Vol 86 ◽  
pp. 00010 ◽  
Author(s):  
Krzysztof Butryn ◽  
Elżbieta Jasińska ◽  
Oleksandra Kovalyshyn ◽  
Edward Preweda
Keyword(s):  
Quality Of Life ◽  
Renewable Energy ◽  
Real Estate ◽  
Renewable Energy Sources ◽  
Land Development ◽  
Real Estate Market ◽  
Energy Sources ◽  
Housing Estate ◽  
Economic Dimension

Due to the high demand on the housing market, it may seem that every investment will find buyers’ interest and the key is its economic dimension. Meanwhile, in the Krakow real estate market, one can observe the trend of SMART market creation, in which the added value is the quality of life of residents of a given investment, especially in terms of using renewable energy sources and ensuring a well-organized space around the investment. The implementation of intelligent energy networks and the widespread use of renewable energy sources will result in more efficient energy transfer, waste recycling, faster identification of the threat and repair after a possible failure. Using, for example, the resources of the National Fund for Environmental Protection and Water Management, the implementation of ecological solutions is not related to the excessive price of such investments, and guarantees a higher quality of life for new owners. The article presents good practices in the design of housing estates in the city of Krakow. One of such closed settlements is "Osiedle Fi", whose location guarantees good public transport, additionally underground parking places a lot of green areas outside, positively affecting the microclimate of the area. The buildings are made of natural materials and the common parts of the property are illuminated from solar energy. The use of renewable energy sources favors both the environment and reduces the cost of maintaining the property. Rainwater is also used. The next smart housing estate is "Osiedle Ozon". It is a comfortable housing estate with functional land development. Among its main attributes, it is worth mentioning a lot of greenery and naturally diversified terrain. There were used plant species, which have the ability to catch harmful chemicals or dust from soil and air. In this work, a statistical analysis was conducted to compare the prices of housing properties in these two selected settlements to the prices of real estate in the area, indicating statistically insignificant differences in the economic aspect, with significant differences in the quality of life of the potential buyer.

Renewable Energy Sources

IEE Review ◽  
1991 ◽  
Vol 37 (4) ◽  
pp. 152
Author(s):  
Kenneth Spring
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources

Power Projects and Covid-19: A Practical Analysis of the Relevance of Force Majeure Clauses under the Standardised Power Purchase and Implementation Agreements of Uganda

2020 ◽  
Vol 1 (2) ◽  
pp. 189-193
Author(s):  
Aisha Naiga ◽  
Loyola Rwabose Karobwa
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
The State ◽  
Energy Sources ◽  
Policy Goals ◽  
Force Majeure ◽  
Practical Analysis ◽  
Energy Justice

Over 90% of Uganda's power is generated from renewable sources. Standardised Implementation Agreements and Power Purchase Agreements create a long-term relationship between Generating Companies and the state-owned off-taker guaranteed by Government. The COVID-19 pandemic and measures to curb the spread of the virus have triggered the scrutiny and application of force majeure (FM) clauses in these agreements. This article reviews the FM clauses and considers their relevance. The authors submit that FM clauses are a useful commercial tool for achieving energy justice by ensuring the continuity of the project, despite the dire effects of the pandemic. Proposals are made for practical considerations for a post-COVID-19 future which provides the continued pursuit of policy goals of promoting renewable energy sources and increasing access to clean energy, thus accelerating just energy transitions.

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