Energetic and economic sensitivity analysis for photovoltaic water pumping systems

Abstract Costly battery energy storage are used in photovoltaic water pumping systems to ensure the power supply continuity and the system autonomy. However, the question of designing an optimum, economic and reliable system has not been fully answered. This research work proposes a smart sizing approach of a photovoltaic water pumping system components destined to Tomatoes irrigation. The system elements sizes namely the photovoltaic modules’ surface, the battery bank capacity and the reservoir volume, are designed to save energy generated in excess, supply the water pump and ensure the system autonomy. Fluctuations occurrence, number of successive cloudy days and energetic losses are taken into account when designing. A theoretical analysis was carried out to assess the relation between the photovoltaic modules surface, the battery bank capacity and the water volume needed for the crops irrigation during the crops’ vegetative cycle (from March to July). Additionally, the sizing algorithm results have been validated using PVsyst tool, which shows the efficiency of the obtained sizing. The economic sensitivity analysis for these water pumping systems in three countries, which are Tunisia, Spain and Qatar showed that photovoltaic-batteries/pump system shows that these systems are reliable and economic for both developing and developed countries.

[1]  Giuseppe Marco Tina,et al.  Utility scale photovoltaic plant indices and models for on-line monitoring and fault detection purposes , 2016 .

[2]  G. T. Wrixon,et al.  Optimization and Analysis of PV Systems Using a Computer Model , 1987 .

[3]  A. Patt,et al.  Water saving potentials and possible trade-offs for future food and energy supply , 2016 .

[4]  Luis S. Pereira,et al.  Crop evapotranspiration estimation with FAO56: Past and future , 2015 .

[5]  Gabriele Grandi,et al.  Comparison of PV Cell Temperature Estimation by Different Thermal Power Exchange Calculation Methods , 2012 .

[6]  L. Goel,et al.  A study on optimal sizing of stand-alone photovoltaic stations , 1998 .

[7]  Stefania Conti,et al.  Optimal Sizing Procedure for Stand-Alone Photovoltaic Systems by Fuzzy Logic , 2002 .

[8]  Fernando Tadeo,et al.  Energy and water management for drip-irrigation of tomatoes in a semi- arid district , 2017 .

[9]  G. T. Wrixon,et al.  Optimisation and analysis of photovoltaic systems using a computer model , 1988, Conference Record of the Twentieth IEEE Photovoltaic Specialists Conference.

[10]  Kamaruzzaman Sopian,et al.  A New Approach for Optimal Sizing of Standalone Photovoltaic Systems , 2012 .

[11]  Peter P. Groumpos,et al.  An optimal sizing method for stand-alone photovoltaic power systems , 1987 .

[12]  R. Ramakumar,et al.  Loss of Power Supply Probability of Stand-Alone Photovoltaic Systems: A Closed Form Solution Approach , 1991, IEEE Power Engineering Review.

[13]  Fernando Tadeo,et al.  An algorithm for sizing photovoltaic pumping systems for tomatoes irrigation , 2013, 2013 International Conference on Renewable Energy Research and Applications (ICRERA).

[14]  Kostas Kalaitzakis,et al.  Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms , 2006 .

[15]  S. Catalanotti,et al.  An analytical method to determine the optimal size of a photovoltaic plant , 1984 .

[16]  Fernando Tadeo,et al.  Sensitivity analysis for photovoltaic water pumping systems: Energetic and economic studies , 2017 .

[17]  Kamaruzzaman Sopian,et al.  A review of photovoltaic systems size optimization techniques , 2013 .

[18]  G. Capizzi,et al.  Experiences on the design of stand alone Photovoltaic System by deterministic and probabilistic methods , 2011, 2011 International Conference on Clean Electrical Power (ICCEP).

[19]  Fernando Tadeo,et al.  Algorithm for Optimum Sizing of a Photovoltaic Water Pumping System , 2015 .

[20]  Soteris A. Kalogirou,et al.  Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure , 2007 .

[21]  Al-Khalid Othman,et al.  A novel analytical model for optimal sizing of standalone photovoltaic systems , 2012 .

[22]  Dennis Wichelns,et al.  Achieving sustainable irrigation requires effective management of salts, soil salinity, and shallow groundwater , 2015 .

[23]  Sanford Klein,et al.  Loss-of-load probabilities for stand-alone photovoltaic systems , 1987 .

[24]  Wei Zhou,et al.  OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM , 2008 .

[25]  Helena M. Ramos,et al.  Sustainable application of renewable sources in water pumping systems: Optimized energy system configuration , 2009 .