Wind and Solar Energy for Sustainable Energy Production for Family Farms in Coastal Agricultural Regions of Libya Using Measured and Multiple Satellite Datasets

Author:

Lagili Hamza S. Abdalla12,Kiraz Aşkın2ORCID,Kassem Youssef345ORCID,Gökçekuş Hüseyin45

Affiliation:

1. High and Intermediate Institute of Agricultural Technology, Gheran, Libya

2. Ataturk Faculty of Education, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus

3. Department of Mechanical Engineering, Engineering Faculty, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus

4. Department of Civil Engineering, Civil and Environmental Engineering Faculty, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus

5. Energy, Environment, and Water Research Center, Near East University, Via Mersin 10 Turkey, Nicosia 99138, Cyprus

Abstract

Generating electricity from renewable energy instead of fossil fuels brings great benefits to the environment and sustainable development. Thus, assessing the potential of wind and solar energy in agricultural coastal areas can identify sustainable energy solutions for meeting energy demand and producing fresh water for agricultural applications and domestic use. However, it is difficult to accurately assess the wind and solar energy potential in Libya due to the civil war, lack of measured data, and its limited availability. Consequently, this concise work is unique because it is the first to use daily measurement data from Az-Zāwiyah, Libya, for evaluating wind and solar energy based on one year of measured data for 2022. Moreover, the present study aims to investigate the potential of wind and solar energy as promising renewable sources for meeting energy demand in coastal agricultural regions in Libya using multiple datasets for the first time. In this paper, five satellite products (TerraClimate, ERA5, ERA5-Land, MERRA-2, and CFSR) were assessed and compared against measured data for January 2022–December 2022 to understand their suitability, accuracy, and reliability. The results showed that CFSR and ERA5-Land demonstrate the most favorable performance for assessing the wind resource, while all satellite products can be utilized for preliminary solar resource assessment. Then, the assessment of wind and solar resources was evaluated in five agricultural coastal regions (Aljmail, Az-Zāwiyah, Castelverde, Msallatah, and Sabratah) based on the best satellite product for the period of 2000–2022. Furthermore, the performance of the wind and solar power systems was investigated for typical farms, which were chosen to estimate the required energy demand according to daily electrical consumption. The results show that the positive outcomes of implementing these systems were highlighted, with an emphasis on their potential benefits to the entire Libyan agricultural sector. Accordingly, scaling up and generalizing the proposed systems and generalizing them to include all farms in Libya could have a significant impact on national electricity generation, mitigate greenhouse gases, and contribute to the development of the agricultural sector and the country’s economy.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessment of Wind Energy Potential for achieving Sustainable Development Goal 7 in the Rural Region of Jeje, Nigeria;Engineering, Technology & Applied Science Research;2024-08-02

2. The Best-Fit Wind-speed Probability Distribution Functions for Winds in Libya;2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2024-06-03

3. Smart PV Hydroponic Greenhouse for Sustainable Agriculture in Tunisia;Engineering, Technology & Applied Science Research;2024-06-01

4. Performance evaluation and degradation analysis of 20 MW photovoltaic power plant located in the southwestern highlands of Algeria;Building Services Engineering Research and Technology;2024-05-29

5. Wind Resource Evaluation in Libya: A Comparative Study of Ten Numerical Methods for the Estimation of Weibull Parameters using Multiple Datasets;Engineering, Technology & Applied Science Research;2024-04-02

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