Year: 2024
Type: article
Abstract: Purpose. To investigate modern technological approaches to the development of combined power supply systems for urban facilities and assess their techno-economic performance indicators. The methods. The study involved the systematization and statistical analysis of cost indicators for various backup power supply system technologies in urban facilities. To determine the specific cost indicators of electrical energy, a methodology was used that evaluates capital and operational expenditures throughout the equipment's life cycle. Findings. A statistical analysis of market prices for decentralized energy sources (diesel and gasoline generators of various capacities) enabled the evaluation of the specific cost of generated electrical energy, identification of optimal parameters for a combined power supply system for urban facilities, and establishment of a correlation between the specific cost of electrical energy and diesel generator capacity. The available charge-discharge cycle resource of various types of battery storage was assessed, and an optimal discharge level was determined to minimize wear, ensure long-term use, and reduce the cost of delivered electrical energy from storage systems. The originality. Amid the growing demand for backup power supply technologies, the cost of electrical energy over the life cycle of equipment was analyzed. A logarithmic relationship was established between the specific cost of electrical energy and the capacity of diesel generators, observed over a wide range of capacities. It was found that for most types of battery storage, the most efficient operating mode is characterized by a depth of discharge of up to 50% of nominal capacity, ensuring maximum service life and the lowest specific cost of electrical energy. Practical implementation. The proposed approaches for determining the cost of electrical energy over the life cycle of backup power system equipment can be applied to identify the optimal structure of such systems.
Institution: Dnipro University of Technology
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410152223