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Mathematical analysis of maximum power generated by photovoltaic systems and fitting curves for standard test conditions 70
Gabriel Filho,Luís R. A.; Viais Neto,Daniel dos S.; Cremasco,Camila P.; Seraphim,Odivaldo J.; Caneppele,Fernando de L..
The rural electrification is characterized by geographical dispersion of the population, low consumption, high investment by consumers and high cost. Moreover, solar radiation constitutes an inexhaustible source of energy and in its conversion into electricity photovoltaic panels are used. In this study, equations were adjusted to field conditions presented by the manufacturer for current and power of small photovoltaic systems. The mathematical analysis was performed on the photovoltaic rural system I-100 from ISOFOTON, with power 300 Wp, located at the Experimental Farm Lageado of FCA/UNESP. For the development of such equations, the circuitry of photovoltaic cells has been studied to apply iterative numerical methods for the determination of electrical...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Rural electrification; Photovoltaic cells; Numerical methods.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000400004
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Comparing numerical methods for solving the competitive storage model 31
Gouel, Christophe.
This paper compares numerical methods for solving the competitive storage model. Since storage implies an inequality constraint, the solution methods must be considered carefully. The model is solved using value function iteration, and several projection approaches, including parameterised expectations and decision rules approximation. Using a penalty function approach to smooth the inequality constraint, perturbation methods are also applied. Parameterised expectations proves the most accurate method, while perturbation techniques are shown inadequate for solving this highly nonlinear model. The endogenous grid method allows rapid solution if supply is assumed to be inelastic.
Tipo: Working or Discussion Paper Palavras-chave: Binding constraint; Nonlinear rational expectations models; Numerical methods; Agricultural and Food Policy; C63; D84; E37.
Ano: 2010 URL: http://purl.umn.edu/115430
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Numerical Analysis of Non-Constant Discounting with an Application to Renewable Resource Management 31
Fujii, Tomoki; Karp, Larry S..
The possibility of non-constant discounting is important in environmental and resource management problems where current decisions affect welfare in the far-distant future, as with climate change. The difficulty of analyzing models with non-constant discounting limits their application. We describe and provide software to implement an algorithm to numerically obtain a Markov Perfect Equilibrium for an optimal control problem with non-constant discounting. The software is available online. We illustrate the approach by studying welfare and observational equivalence for a particular renewable resource management problem.
Tipo: Working or Discussion Paper Palavras-chave: Non-constant discounting; Numerical methods; Non-renewable resources; Observational equivalence; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C63; Q20.
Ano: 2006 URL: http://purl.umn.edu/7199
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