Abstract
The Sulaibiya solar thermal power system is designed for the decentralized supply of energy for small isolated communities. The variability in solar insolations makes it necessary to study operating options available and the corresponding allocation of energy and water to users. This article presents a mathematical programming model for the operation of the plant. A piecewise linear programming approach is adopted to reflect the variable efficiency of the turbines based on input levels. The optimization criterion is a linear combination of two objectives: maximizing solar fraction and satisfying users' demands. Relative weights are attached to convey the importance of each criterion. This model aims at integrating the energy and water components of the system, and providing daily operating options for various insolation levels and demand profiles. The model was validated at a design point assuming 100% solar insolation for summer demand profiles. Based on this validation, the model proved to be successful in representing the real situation, which encourages its use to provide different operating options under various conditions.
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