Role of reduced geometry on critical spin-crossover behavior in molecular magnet: Monte Carlo simulation

Polyhedron ◽  
2013 ◽  
Vol 66 ◽  
pp. 129-135
Author(s):  
Yongyut Laosiritaworn
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Spin Crossover ◽  
Molecular Magnet ◽  
Crossover Behavior

نماذج المحاكاة- محاكاة مونتي كارلو- كأسلوب كمي من أساليب النمذجة واتخاذ القرارات - مقاربة نظرية وتطبيقية

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
محمد الأمين ◽  
بن حامد عبد الغني ◽  
مراس محمد
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Quantitative Methods ◽  
Practical Importance ◽  
Investment Project ◽  
Simulation Method ◽  
Period Analysis ◽  
Investment Projects ◽  
Monte Carlo Simulation Model

Our research aims to try to present the modeling mechanisms in the field of simulation and quantitative methods. The research is a presentation of the role of quantitative methods in making investment project evaluation decisions, more than that and is the use of the Monte Carlo simulation model in evaluation and multi-period analysis of investment projects under conditions Risk and uncertainty. And highlighting the theoretical, scientific and practical importance of the Monte Carlo simulation method in particular, and the importance of using quantitative methods in helping to make decisions in general

A Parametric Unit Commitment Method for Revenue Adequacy Assessment

2007 ◽  
Vol 8 (3) ◽  
Author(s):  
Gianpietro Granelli ◽  
Mario Montagna ◽  
Paolo Marannino ◽  
Fabio Zanellini
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Unit Commitment ◽  
Market Price ◽  
Multivariate Normal ◽  
Market Prices ◽  
Strategic Role ◽  
Adequacy Assessment ◽  
Monte Carlo Simulation Program

Unit commitment (UC), originally employed to minimize the generating cost of a vertically integrated utility, has become a basic tool for revenue adequacy evaluation by GENeration COmpanies (GENCOs). The strategic role of UC is apparent in those market environments where GENCOs are asked to internalize all costs and the relevant UC decisions within their day–ahead market bids. In this paper, a parametric UC method is presented to assess the convenience of making energy bids for marginal or nearly marginal generation units. The convenience is gauged by the basis of revenue adequacy that is on each unit's ability to cover all expenses and generate profits. Beside UC choices, the parametric UC procedure provides a market price behavior that would make it profitable to commit a certain unit for generation. A Monte Carlo simulation program is employed to find the probability that actual market prices will fulfill the revenue adequacy requirements. Market prices are handled as random variables with multivariate normal distribution, taking into account the correlation between prices at successive time periods. The parametric UC procedure and the Monte Carlo simulation are carried out by using reasonable data of generation units available to some Italian GENCOs.

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