Heliostat field cleaning scheduling for Solar Power Tower plants: a heuristic approach
| Autor: | Ashley, Thomas Ian, Carrizosa Priego, Emilio José, Fernández Cara, Enrique |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa, Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla. FQM329: Optimización, Universidad de Sevilla. FQM131: Ec.diferenciales, Simulación Num.y Desarrollo Software, Ministerio de Economía y Competitividad (MINECO). España |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct impact on the productivity of the Solar Power Tower plant. Cleaning techniques applied are dependent on plant construction and current schedules are normally developed considering heliostat layout patterns, providing sub-optimal results. In this paper, a method to optimise cleaning schedules is developed, with the objective of maximising energy generated by the plant. First, an algorithm finds a cleaning schedule by solving an integer program, which is then used as a starting solution in an exchange heuristic. Since the optimisation problems are of large size, a p-median type heuristic is performed to reduce the problem dimensionality by clustering heliostats into groups to be cleaned in the same period. Ministerio de Economía y Competitividad |
| Databáze: | OpenAIRE |
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