Solar photovoltaic water pumping system: A software tool development-based optimal configuration investigation for system installation location, sizing and deployment

被引:13
作者
Rengma, Nyenshu Seb [1 ]
Yadav, Manohar [1 ]
Kishor, Nand [2 ]
机构
[1] Motilal Nehru Natl Inst Technol Allahabad, Geog Informat Syst GIS Cell, Prayagraj 211004, India
[2] Ostfold Univ Coll, Dept Engn, Fredrikstad Campus, Fredrikstad, Norway
关键词
Solar Photovoltaic Water Pumping System; (SPVWPS); Renewable energy; Fuzzy-AHP; Software; Sustainable development; SITE SELECTION; POWER-PLANTS; IRRIGATION; DESIGN; MCDM; IMPLEMENTATION; FARMS; MODEL; WIND;
D O I
10.1016/j.ref.2023.07.001
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Water resources are essential for human survival, environmental stability, sustainable development, and economic growth. However, the lack of access to clean water poses a significant challenge to people's well-being. Solar photovoltaic-powered water pumping systems offer a sustainable solution to this prob-lem. Despite their implementation in various locations, there is currently no established methodology for optimal site selection and sizing. To address this gap, this study thoroughly investigates and analyzes the design and deployment steps of a solar PV water pumping system, including site selection and sizing of the components. A graphical user interface is developed based on fundamental equations to assist users in appropriately sizing the system for the most suitable site, aiming to minimize costs. The tool is rigor-ously tested and validated through a case study focusing on economically disadvantaged communities in remote areas with complex terrains. The results align with ground data, providing valuable insights into system design and deployment. This study serves as a comprehensive guide for designing solar PV water pumping systems, applicable worldwide with relevant data inputs. It contributes to the planning and implementation of sustainable solutions, addressing water access challenges through a scientific approach.& COPY; 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页码:236 / 255
页数:20
相关论文
共 81 条
[1]  
Abu-Aligah M, 2011, JORDAN J MECH IND EN, V5, P273
[2]   Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review [J].
Adedeji, Paul A. ;
Akinlabi, Stephen A. ;
Madushele, Nkosinathi ;
Olatunji, Obafemi O. .
JOURNAL OF CLEANER PRODUCTION, 2020, 269
[3]  
Al Garni HZ, 2018, ADVANCES IN RENEWABLE ENERGIES AND POWER TECHNOLOGIES, VOL 1: SOLAR AND WIND ENERGIES, P57, DOI 10.1016/B978-0-12-812959-3.00002-2
[4]   Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia [J].
Al Garni, Hassan Z. ;
Awasthi, Anjali .
APPLIED ENERGY, 2017, 206 :1225-1240
[5]  
Al-Waeli AHA, 2017, INT J RENEW ENERGY R, V7, P12
[6]   GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand [J].
Ali, Shahid ;
Taweekun, Juntakan ;
Techato, Kuaanan ;
Waewsak, Jompob ;
Gyawali, Saroj .
RENEWABLE ENERGY, 2019, 132 :1360-1372
[7]   A review of solar-powered water pumping systems [J].
Aliyu, Mansur ;
Hassan, Ghassan ;
Said, Syed A. ;
Siddiqui, Muhammad U. ;
Alawami, Ali T. ;
Elamin, Ibrahim M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 87 :61-76
[8]   PV water pumping systems for domestic uses in remote areas: Sizing process, simulation and economic evaluation [J].
Allouhi, A. ;
Buker, M. S. ;
El-houari, H. ;
Boharb, A. ;
Amine, M. Benzakour ;
Kousksou, T. ;
Jamil, A. .
RENEWABLE ENERGY, 2019, 132 :798-812
[9]  
[Anonymous], 2023, SOLAR PV BASED DRINK
[10]  
[Anonymous], 2016, NUTRIENT REQUIREMENT, DOI [10.17226/19014, DOI 10.17226/19014]