Thermal energy management optimization of solar thermal energy system based on small parabolic trough collectors for bitumen maintaining on heat process. (15th November 2020)

• Record Type: Journal Article
• Authors: Ghazouani, Mokhtar; Bouya, Mohsine; Benaissa, Mohammed; Anoune, Kamal; Ghazi, Mohamed
• Is Part Of: Solar energy. Volume 211(2020)
• Page Start: 1403
• Page End: 1421
• Publication Date: 2020-11-15
• Subjects: Small parabolic trough collector -- Thermal energy storage -- Energy management -- Trial and error method -- Multi-node algorithms -- Genetic algorithm optimization; Solar energy -- Periodicals; Solar engines -- Periodicals; 621.47
• DOI: 10.1016/j.solener.2020.10.074
• Languages: English
• ISSNs: 0038-092X

Abstract

Highlights: Integration of Small Parabolic Trough collectors (SPTC) in Hybrid thermal energy production system for bitumen heating maintaining process. Optimization of the proposed hybrid SPTC-fossil fuel-thermal storage system through thermal energy flow management. Defining an innovative strategy of optimization with different double-objective function. Combining trial and error method, multi-nodes method and genetic algorithm to resolve and optimize the equations system obtained from the proposed system modelling. Optimized results are provided for different thermal storage capacities. Abstract: Solar energy integration in heat consuming processes is a promising replacement for fossil energy. We are interested in a small Solar Parabolic Trough Collectors field combined with a sensible heat storage reservoir. Unfortunately, such a system has a higher cost than fossil energy and is challenging to optimize. Therefore, this work's main objective is to provide an optimized design and management to minimize energy cost (EC) and maximize renewable energy utilization fraction (REF). This study is done by optimizing the sizing and the thermal energy flow management of a hybrid solar-fossil fuel energy system. The optimization problem is formulated based on mass and energy conservation equations, heat transfer phenomena modeling, correlations, and economic data. We resolved it by combining trial and error method, multi-node calculation procedure, and genetic algorithm. To evaluate our method, we studied a hybrid solar-fossil fuel energy system used for the bitumen heat maintaining process in Rabat region-Morocco. The evaluation considered different thermal storage capacities. Using our optimization, we reached REF ≥ 40% and EC < 0.05US$/kWh for small thermal capacities and REF ≥ 85% and EC less than 0.2US$/kWh for large thermal capacities. This is equivalent to saving, respectively, more than 0.75 and 1.5 tons of CO 2 emissions/year/kW for small and large thermal storage capacities. Other important recommendations are also provided in this work.