Optimal sizing of a Hybrid Renewable Energy System: Importance of data selection with highly variable renewable energy sources. (1st November 2020)

• Record Type: Journal Article
• Authors: Alberizzi, Jacopo Carlo; Frigola, Joaquim Meléndez; Rossi, Mosè; Renzi, Massimiliano
• Is Part Of: Energy conversion and management. Volume 223(2020)
• Publication Date: 2020-11-01
• Subjects: Hybrid Renewable Energy Systems -- Mixed Integer Linear Programming -- Solar energy -- Wind energy -- Diesel engine -- Battery storage; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2020.113303
• Languages: English
• ISSNs: 0196-8904

Abstract

Abstract: The replacement of fossil fuels for producing energy with renewable sources is crucial to limit the climate change effects. However, the unpredictable nature of renewables, like sun and wind, complicates their integration within the power systems. This problem can be faced with the introduction of Hybrid Renewable Energy Systems (HRESs) where several energy sources can be incorporated. A key aspect is the assessment of the HRES configuration, which is fundamental to obtain a feasible system from both technical and economic points of view. In this paper, a novel Mixed Integer Linear Programming (MILP) optimization algorithm has been developed to design a tool capable of assessing the optimal sizing of a HRES. The algorithm has been applied to a real case study of a mountain hut located in South-Tyrol (Italy) with a hybrid system composed by solar, wind and diesel generators together with a battery storage. The algorithm compares several scenarios providing the optimal configurations of the HRES, which are characterized by different costs and energy deficits. This tool helps engineers to identify the best trade-off between costs and energy deficits in the planning phase of a HRES, still granting the demand of the users as well as the constraints. Highlights: An optimal sizing assessment of Hybrid Renewable Energy Systems is investigated. The optimal sizing depends on renewables variability and simulation time span. A maximum cost difference of 134, 787 € between different configurations can occur. A sensitivity analysis and the effect of demand side management has been assessed. A cost reduction of 57% between a high and low cost configuration can be obtained.