EXPRESS ANALYSIS OF PROBABILISTIC CHARACTERISTICS OF WIND POWER TATIONS AS A SOURCE OF ENERGY FOR SEAWATER DESALINATION IN THE AZOV-BLACK SEA REGION OF UKRAINE

Author:

Vasko P.F.ORCID,Mazurenko I.L.ORCID

Abstract

Ukraine takes part in the implementation of the European program «2´40 GW Green Hydrogen Initiative». It is planned to build 10 GW of electrolyser capacity on the territory of Ukraine for the production of «green» hydrogen using the energy of wind power stations in the Azov-Black Sea region. Territorial sea waters of Ukraine are characterized by a significant potential of offshore wind energy, which is currently developing rapidly in the world. One of the alternative options for supplying fresh water for the operation of electrolysers when powered by offshore wind power stations involves using desalinated seawater. The operation of 10 GW of electrolyser capacity will ensure the production of «green» hydrogen in the amount of 1.65 million tons per year and will require the consumption of prepared fresh water of about 24 million m3/year. Seawater desalination is an established technology that is widely used worldwide to reduce freshwater scarcity. The use of energy from wind power stations for seawater desalination is an alternative option within the scope of this Program. However, the mismatch between the random nature of wind power generation and the constant energy demand for desalination makes the integration between the two technologies all the more important. The goal of this paper is to estimate the probabilistic annual ensuring of given levels of power and volume of electricity production by wind power stations in the coastal and offshore territories of the Azov-Black Sea region of Ukraine. The probabilistic annual distributions of wind speed and energy indicators of wind power stations for a height of 100 meters were studied, the average annual wind speed of about 7.5 m/s was substantiated. An achievable value of the utilization rate of the installed capacity of wind power stations was obtained at the level of 35 %, provided that the generated energy is fully integrated into the technological schemes of water desalination. The duration of production of full and half volumes of electricity production and power generation is determined. Algorithms for calculating the probability of exceeding various required power levels and volumes of electricity production by wind power stations have been developed. Bibl. 48, Fig. 6, Tab. 4.

Publisher

The Gas Institute of the National Academy of Sciences of Ukraine

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference48 articles.

1. Ad van Wijk, Jorgo Chatzimarkakisr. Green Hydrogen for a European Green Deal A 240 GW Initiative. Brussels: Hydrogen Europe. 40 p.

2. Memorandum of understanding between the European Union and Ukraine on a Strategic Partnership on Bio-methane, Hydrogen and other Synthetic Gases. 02.02.2023. P. 8. — https://energy.ec.europa.eu/memorandum-understanding-between-european-union-and-ukraine-strategic-partnership-biomethane_en

3. Knysh K., Kudria S., Halabala M. [White book 2021. Offshore wind energy and «green» hydrogen: opening new frontiers of Ukraine’s energy capacity]. P. 14. — https://www.asterslaw.com/ua/press_center/publications/white_paper_2021_offshore_wind_energy (Accessed July 04, 2023) (Ukr.)

4. Hoeser Thorsten, Kuenzer Claudia. DeepOWT: A global offshore wind turbine data set. DOI: 10.5281/zeno-do.5933967.

5. Hoeser T., Feuerstein S., Kuenzer C. DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data. Earth Syst. Sci. Data. 14. pp. 4251–4270. DOI: 10.5194/essd-14-4251-2022.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3