scholarly journals Optimal Configuration Investigation for Photovoltaic Water Pumping System, Case Study: In a Desert Environment at Ghardaia, Algeria

2021 ◽  
Vol 54 (4) ◽  
pp. 216-558
Author(s):  
Noureddine Benbaha ◽  
Fatiha Zidani ◽  
Abdelhak Bouchakour ◽  
Seif Eddine Boukebbous ◽  
Mohamed Said Nait-Said ◽  
...  
Keyword(s):  
Agricultural Land ◽  
Solar Systems ◽  
Pv Array ◽  
Pumping System ◽  
Water Pumping ◽  
Economic Operation ◽  
Energy Projects ◽  
Solar Pump ◽  
Semi Arid

Since the first installations of solar systems, PV pumping systems have taken a large part in solar energy projects and nowadays they belong to the most significant applications of photovoltaic energy. With the increased use of the PV water pumping systems, sizing and selecting suitable design is essential in order to achieve the most reliable and economic operation for this type of systems. On a real well of 25 m head in desert and semi-arid climate in Sebseb site, Ghardaia, Algeria, a typical PV pumping system for irrigation purpose is installed in order to evaluate its performance under outdoor conditions. Therefore, three PV array configurations are considered to supply a novel version of centrifugal solar pump PS2 C-SJC 12 with a storage tank. The pumped water is used to irrigate 3 hectares of agricultural land. Oversized PV array increases its output power at weak solar irradiance. However, too much oversize will negatively affect the economic reliability. With respect to the wide normal operating range of centrifugal pump, three oversized PV configurations by 4%, 46% and 78% are examined. The experimental results show that PV pumping system can successfully start at low solar radiation 86.21 W/m2 and the optimum performances are obtained with the oversizing of 46%.

scholarly journals A Novel Procedure for Quick Design of Off-Grid PV Water Pumping Systems for Irrigation

2021 ◽  
Author(s):  
Dardan Klimenta ◽  
Julijana Lekic ◽  
Sanela Arsic ◽  
Dragan Tasic ◽  
Nikola Krstic ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Sunshine Duration ◽  
Meteorological Data ◽  
Elevation Angle ◽  
Solar Irradiation ◽  
Research Centre ◽  
Pumping System ◽  
Water Pumping ◽  
High Level

It is known that meteorological variables from meteorological online services can be used for the design of photovoltaic (PV) water pumping systems for irrigation. The software LORENTZ COMPASS in such a manner uses as inputs solar irradiation, precipitation, and ambient temperature collected by the NASA Langley Research Centre over a period of more than 20 years. This paper proposes a novel procedure that uses the sunshine duration, precipitation, and ambient temperature as inputs. These inputs were collected by Weather Online UK during a period of 25 years. The effects of different data collection periods and data availabilities on the design of the PV water pumping system are also analysed and discussed. Along with the meteorological data, the proposed procedure uses as inputs datasheets from manufacturers of pumping systems and PV modules. The procedure is based on the Sivkov model that correlates the global horizontal irradiation with the sunshine duration and the elevation angle of the Sun. A case study, i.e., an existing PV water pumping system designed using LORENTZ COMPASS is used as reference for purposes of comparison and validation of the procedure. The results of the comparison showed a high level of accuracy, and a number of interesting conclusions are drawn from them.

NARX-Based Short-Term Forecasting of Water Flow Rate of a Photovoltaic Pumping System: A Case Study

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Sofiane Haddad ◽  
Adel Mellit ◽  
Mohamed Benghanem ◽  
Khalid Osman Daffallah
Keyword(s):  
Water Flow ◽  
Flow Rate ◽  
Water Flow Rate ◽  
Pumping System ◽  
System A ◽  
Water Pumping ◽  
Short Term Forecasting ◽  
And Control ◽  
Nonlinear Autoregressive

Hourly water flow rate (HWFR) forecasting is very important to photovoltaic water pumping system (PVWPS) planning, operation, and control. In this paper, a nonlinear autoregressive with exogenous input-recurrent neural network (NARX-RNN) is investigated for the prediction of water flow rate (WFR) using experimental data collected from a PVWPS installed at Madinah site (Saudi Arabia). Results showed that the developed NARX-based model is able to reach acceptable accuracy for 1–12 hrs (next-day) ahead predictions. The developed methodology provides valuable information to PVWPS operators for controlling the production, storage, and delivery of water.

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