Concentrated solar power plants: Review and design methodology
HL Zhang, J Baeyens, J Degrève, G Cacères - Renewable and sustainable …, 2013 - Elsevier
Concentrated solar power plants (CSPs) are gaining increasing interest, mostly as parabolic
trough collectors (PTC) or solar tower collectors (STC). Notwithstanding CSP benefits, the …
trough collectors (PTC) or solar tower collectors (STC). Notwithstanding CSP benefits, the …
Artificial intelligence techniques for photovoltaic applications: A review
A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …
conventional techniques or as components of integrated systems. They have been used to …
A method to generate synthetic hourly solar radiation globally
VA Graham, KGT Hollands - Solar energy, 1990 - Elsevier
This paper develops a stochastic procedure for generating synthetic sets of hourly solar
irradiation values, suitable for use in solar simulation design work. The daily atmospheric …
irradiation values, suitable for use in solar simulation design work. The daily atmospheric …
Towards a smart energy network: The roles of fuel/electrolysis cells and technological perspectives
The current carbon-based energy system is undergoing a profound change driven by the
increased concerns over the longevity and security of energy supply, as well as energy …
increased concerns over the longevity and security of energy supply, as well as energy …
Reliability/cost implications of PV and wind energy utilization in small isolated power systems
R Karki, R Billinton - IEEE Transactions on Energy Conversion, 2001 - ieeexplore.ieee.org
The application of renewable energy in electric power systems is growing rapidly due to
enhanced public concerns for adverse environmental impacts and escalation in energy …
enhanced public concerns for adverse environmental impacts and escalation in energy …
TAG: a time-dependent, autoregressive, Gaussian model for generating synthetic hourly radiation
R Aguiar, M Collares-Pereira - Solar energy, 1992 - Elsevier
A model is described which generates synthetic daily sequences of hourly radiation values,
on the horizontal plane, for any location, with the daily clearness index K t as input. The …
on the horizontal plane, for any location, with the daily clearness index K t as input. The …
Simple procedure for generating sequences of daily radiation values using a library of Markov transition matrices
RJ Aguiar, M Collares-Pereira, JP Conde - Solar Energy, 1988 - Elsevier
This article describes how sequences of daily global radiation can be generated for any
location, using as input only the average monthly radiation for that location (or the average …
location, using as input only the average monthly radiation for that location (or the average …
[HTML][HTML] Stochastic generation of synthetic minutely irradiance time series derived from mean hourly weather observation data
Synthetic minutely irradiance time series are utilised in non-spatial solar energy system
research simulations. It is necessary that they accurately capture irradiance fluctuations and …
research simulations. It is necessary that they accurately capture irradiance fluctuations and …
The sizing of stand alone PV-system: A review and a proposed new method
M Egido, E Lorenzo - Solar energy materials and solar cells, 1992 - Elsevier
The reliability of stand alone photovoltaic systems is analyzed in terms of the loss of load
probability, LLP. A variety of numerical and analytic models for calculating the LLP are …
probability, LLP. A variety of numerical and analytic models for calculating the LLP are …
A simplified model for generating sequences of global solar radiation data for isolated sites: Using artificial neural network and a library of Markov transition matrices …
The purpose of this work is to develop a hybrid model which will be used to predict the daily
global solar radiation data by combining between an artificial neural network (ANN) and a …
global solar radiation data by combining between an artificial neural network (ANN) and a …