Implementation of algorithmic techniques to facilitate design of solar power systems for Mauritius

2018 International Conference on New Energy and Future Energy System

Rughoo, D.^1 ; Chandrasekaran, N.^1

Applied Electrical and Electronics Engineering Department, Université des Mascareignes, Z-Mauritius, South Africa^1

关键词: Algorithmic techniques;    Full-scale implementation;    Geographical locations;    National Renewable Energy Laboratory;    Photovoltaic energy systems;    Sandia National Laboratories;    Scientific analysis;    Solar position algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/188/1/012017/pdf
DOI  :  10.1088/1755-1315/188/1/012017

来源: IOP

【 摘 要 】

The toolbox developed at Sandia National Laboratory (SNL), incorporates a range of well documented mathematical models, which provide scientific insight in to a number of aspects involved in the design of solar power systems. Of first and foremost importance is the need to acquire the capability to generate pre-processor input for the toolbox. As part of this strategy, the Solar Position Algorithm (SPA), developed at the American National Renewable Energy Laboratory (NREL), has been ported to evaluate parameters like zenith and azimuth angles for several geographical locations of Mauritius. Computations were carried out for two different seasons and for two locations, one at the University and the other at the 15 MW National Solar Power Plant, Bambous, Mauritius. The enormity of the task can be understood by realizing that we need both the solar position and weather data for several locations that would also vary with time and date. The importance of capturing such information on a high-resolution space (in order to generate Mauritius Energy Resource Map) is outlined in great detail. Experiments were carried out using solar module analyzer and the results obtained helped us to understand the pattern of variation of design parameters. This information is necessary for validation of the theoretical models. Sandia has implemented the package both in Python and MATLAB. To understand the fundamentals better, for the present, we are using the mathematical models, which are described in SNL documents, but in 'C' programming language. Engineering approach is more direct and an attempt has been made to generate insolation values for Mauritius, based on these formulations too, to serve some verification purposes. The full-scale implementation of SNL PV-LIB (Library of routines for simulation of photovoltaic energy systems), which provides a set of well-documented functions for performing a complete scientific analysis is likely to take at least another year or two.