Experimental modeling of the optical and energy performances of a point-focus CPV system applied to a residential user

Abstract There is not a standard configuration of Concentrating Photovoltaic (CPV) systems on the market because it must be defined according the user characteristics. Hence, it is important to evaluate the real optical and energy performances of CPV system to satisfy accurately the user energy demands. An experimental model able to calculate energy and optical performances of CPV system with Triple-Junction (TJ) cells, is presented in this paper. First, optical performances influencing the CPV system electrical producibility, are evaluated. Optical concentration factor (Copt) and optical efficiency are experimentally determined in terms of distance between TJ cell and optics. Successively, a black-box model able to link simultaneously TJ cell electrical power with Direct Normal Irradiation (DNI) and TJ cell temperature when Copt varies, is adopted; it is difficult to link these variables by means of a white-box model. This link is basic to evaluate the real CPV system performances when it is sized to match the user energy loads. Hence, the CPV system feasibility applied to 120 m2 residential user, is evaluated. The modules optimal number is defined to maximize the investment profitability. The modules optimal number is five with a Net Present Value equal to 7.2 k€.

[1]  Ciro Aprea,et al.  An experimental analysis of a thermodynamic model of a vapour compression refrigeration plant on varying the compressor speed , 2004 .

[2]  Eduardo F. Fernández,et al.  Conceptual design and performance evaluation of a hybrid concentrating photovoltaic system in preparation for energy , 2017 .

[3]  Carlo Renno,et al.  Optimization of a concentrating photovoltaic thermal (CPV/T) system used for a domestic application , 2014 .

[4]  Philippe Bournot,et al.  Performance evaluation of concentrating solar photovoltaic and photovoltaic/thermal systems , 2013 .

[5]  Laura Schaefer,et al.  System simulation of a linear concentrating photovoltaic system with an active cooling system , 2012 .

[6]  M. Despotovic,et al.  Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation , 2016 .

[7]  Eduardo F. Fernández,et al.  Model for estimating the energy yield of a high concentrator photovoltaic system , 2015 .

[8]  Erdem Cuce,et al.  Concentrating photovoltaic thermal (CPVT) collectors and systems: Theory, performance assessment and applications , 2018 .

[9]  C. Renno,et al.  Experimental characterization of a concentrating photovoltaic system varying the light concentration , 2017 .

[10]  Ciro Aprea,et al.  An air cooled tube-fin evaporator model for an expansion valve control law , 1999 .

[11]  Jie Ji,et al.  Outdoor performance analysis of a 1090× point-focus Fresnel high concentrator photovoltaic/thermal system with triple-junction solar cells , 2015 .

[12]  Carlo Renno,et al.  Triple-junction cell temperature evaluation in a CPV system by means of a Random-Forest model , 2018, Energy Conversion and Management.

[13]  Kian Jon Chua,et al.  Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm , 2016 .

[14]  J. Catalão,et al.  Impact of solar energy on the integrated operation of electricity-gas grids , 2019, Energy.

[15]  C. Renno.  Theoretical and Experimental Evaluation of the Working Fluid Temperature Levels in a CPV/T System , 2020 .

[16]  Mahmoud Ahmed,et al.  Analysis and simulation of concentrating photovoltaic systems with a microchannel heat sink , 2016 .

[17]  Salvatore Miranda,et al.  Inefficiencies analysis of a point-focus CPV∕T system , 2016 .

[18]  W. Warta,et al.  Solar cell efficiency tables (version 36) , 2010 .

[19]  Eduardo F. Fernández,et al.  Estimating the maximum power of a High Concentrator Photovoltaic (HCPV) module using an Artificial Neural Network , 2013 .

[20]  Sanjeev Jakhar,et al.  Modelling and Simulation of Concentrating Photovoltaic System with Earth Water Heat Exchanger Cooling , 2017 .

[21]  C. Renno,et al.  Influence of a degraded triple-junction solar cell on the CPV system performances , 2018 .

[22]  Ciro Aprea,et al.  A numerical approach to a very fast thermal transient in an air cooling evaporator , 2002 .

[23]  J. Bi,et al.  A dual strategy for controlling energy consumption and air pollution in China's metropolis of Beijing , 2015 .

[24]  K. S. Reddy,et al.  Simulation studies of thermal and electrical performance of solar linear parabolic trough concentrating photovoltaic system , 2017 .

[25]  Eduardo F. Fernández,et al.  Calculation of the cell temperature of a high concentrator photovoltaic (HCPV) module: A study and comparison of different methods , 2014 .

[26]  Yuehong Su,et al.  Effect of non-uniform illumination and temperature distribution on concentrating solar cell - A review , 2018 .

[27]  E. Papanicolaou,et al.  Dynamic simulation and exergetic optimization of a Concentrating Photovoltaic/ Thermal (CPVT) system , 2019, Renewable Energy.

[28]  Ciro Aprea,et al.  Experimental model of a variable capacity compressor , 2009 .