On-design and off-design thermodynamic analysis of a hybrid multi-stage solar thermal tower power plant

Abstract

[ENConcentrated solar power (CSP) is one challenging renewable technology for the future production of electricity. Within this concept central receiver solar plants combined with gas turbines are being investigated because of their promising efficiencies and reduced water consumption. Hybrid plants incorporate a combustion chamber in such a way that in periods of low solar irradiance power output can be kept approximately constant and so, electricity production is predictable. An integrated, non-complex solar thermodynamic model of a hybrid multi-stage gas turbine solar plant is developed employing a reduced number of parameters with a clear physical meaning. The solar subsystem is modelled in detail, taking into account the main heliostats field losses factors as cosine effect, blocking, or attenuation. The model is implemented in our own software, developed in Mathematica® language, considering as reference Gemasolar solar field (Seville, Spain). First, an on-design analysis is performed for four different working fluids (dry air, nitrogen, carbon dioxide, and helium), for different number of expansion and compression stages, and for recuperative and non-recuperative modes. Moreover, heliostats field configuration is determined for the design point and its associated efficiency is computed. A pre-optimization process is carried out regarding the pressure ratio of the gas turbine for different configurations. Some significant efficiency and power rises can be obtained when pressure ratio is adapted for each specific configuration and working fluid. Three particular plant configurations are chosen for the off-design analysis due to their interesting behaviours. For these configurations, a dynamic study is performed for four representative of each season. Then, efficiencies and solar share are plotted against time. In addition, fuel consumption and greenhouse emissions are computed for all seasons. Heliostats efficiency varying with the season and the solar time is also forecasted. Keywords: Dynamic analysis, On-design pre-optimization, Multi-stage gas