Spelling suggestions: "subject:"[een] MONTE CARLO"" "subject:"[enn] MONTE CARLO""
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Simulation of Economical Performance of Isolated Rural Mini-GridsSendegeya, Al-Mas January 2009 (has links)
<p>Prior knowledge about the possible characteristics of demand and supply is vital in the planning and operation of economically sustainable isolated rural power systems. System modelling and simulation is one of the tools that can be used in planning and assessing the performance of these systems. This thesis is presenting a Monte Carlo simulation methodology for modelling, simulating and analysing the performance of isolated rural electricity markets applicable in developing countries. The definitions of possible power system operators managing these markets are introduced based on different economic objectives of operating the systems. The two system operators considered in the thesis are: altruistic and profit maximising operators. The concept used to define types of isolated rural electricity markets is combining the definitions of operators and the possible combinations of power supply options (purely thermal or hybrid system). It is anticipated that the rural electricity markets under consideration comprise of uncertainties in demand and supply (both demand and generation are modelled as random variables from assumed or estimated probability distributions).</p><p>Demand is price sensitive and modelled as a product of two random variables, relative demand and peak demand. The price sensitivity of demand is shown by representing peak demand using an economic price-demand function. The parameters (price sensitivity and demand factor) of this function are modelled as random variables which reflect the randomness of consumers’ preferences.</p><p>The simulation algorithm is based on the theory of correlated sampling, in order to compare the performance of systems under different operators. The thesis introduces the concept of nested Monte Carlo simulation to be able manage the simulation of different operators subjected to the same market conditions. The performance of electricity markets is assessed by analysing three parameters (tariffs, profit and reliability), which are random variables presented using probability distributions in form of duration curves.</p><p>The methodology is tested on a theoretical case study system using load data obtained from a rural community in Africa. The case study illustrates how to use the model, preparation of the input variables and how to use the output to estimate and assess the possible performance of isolated rural power systems under different power system operators. It is anticipated that the proposed methodology can be used by researchers, planners and academia as a tool for planning, estimating and assessing the performance of rural power systems in isolated areas of developing countries</p>
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Data-based mechanistic modelling of systems in plant physiologyButler, Jamie Andrew January 2000 (has links)
No description available.
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Computer simulation and theoretical studies of hydrocarbon adsorption in silicaliteDu, Zhimei January 2000 (has links)
No description available.
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Parallel simulation, delayed rejection and reversible jump MCMC for object recognitionHarkness, Miles Adam January 2000 (has links)
No description available.
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The effect of energetic backscattered electrons in quantitative multi-spectral analysisAssa'd, Ahmad Mohammed January 1995 (has links)
No description available.
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Spectropolarimetry as a probe of stellar windsHarries, Timothy James January 1995 (has links)
No description available.
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Uncertainty modelling in quantitative risk analysisGallagher, Raymond January 2001 (has links)
No description available.
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The application of numerical techniques to models of strongly correlated electronsCreffield, Charles Edward January 1997 (has links)
No description available.
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Valuing the firm and its equity : a cash flow contingent claims approachChang, Shou-Wei January 1998 (has links)
No description available.
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Modelling ordinal categorical data : a Gibbs sampler approachPang, Wan-Kai January 2000 (has links)
No description available.
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