abstract
- © 2017 American Chemical Society. Sustainability and depletion of fossil fuels have propelled the use of renewable energy sources to meet energy demands. Solar radiation is perhaps the most economical and widely available alternative energy source. Energy in the form of solar radiation can be recovered using either photovoltaic or thermal processes. Nowadays, both approaches can only capture a small fraction of the available solar radiation. In this work, we have addressed the dynamic optimal operation of thermal solar plants during start-up. During a normal operating day when solar radiation becomes available, power should be available as soon as possible to meet consumer demands. One of the major problems related to thermal solar plants is the lack of power when solar radiation is off. To overcome this problem, energy storage tanks are considered in the design of the thermal plant. We assume that a conventional Rankine cycle can be used for power generation from low-temperature energy sources. In this work, a dynamic optimization framework is deployed to identify optimal dynamic start-up policies in thermal solar plants. Since the dynamic plant model is composed of a set of partial and differential equations, we have deployed the method of lines and the direct transcription approach for spatial and time discretization, respectively. The results indicate that fast optimal control policies result in power production in a more efficient fashion than simple heuristic-based start-up policies.