• Energy Research

Within the global science and technology development strategy, the green economy is developing vigorously. New-energy development has increasingly become the mainstream development strategy with the increasing demand for environmentally friendly and sustainable energy development. In the wave of new-energy development, the battery industry has maintained sustained and rapid growth, the scale of production capacity for many enterprises has rapidly expanded, and various batteries have seen considerable development. There are many types of batteries, roughly grouped as chemical or physical. Chemical batteries include primary batteries, secondary batteries, and fuel cells, and physical batteries include solar cells, thermal energy batteries, and atomic energy batteries. Each type of battery can be subdivided step by step for continuous improvement and expansion. As such, battery technology will become the key to future competition.

Within the global science and technology development strategy, the green economy is developing vigorously. New-energy development has increasingly become the mainstream development strategy with the increasing demand for environmentally friendly and sustainable energy development. In the wave of new-energy development, the battery industry has maintained sustained and rapid growth, the scale of production capacity for many enterprises has rapidly expanded, and various batteries have seen considerable development. There are many types of batteries, roughly grouped as chemical or physical. Chemical batteries include primary batteries, secondary batteries, and fuel cells, and physical batteries include solar cells, thermal energy batteries, and atomic energy batteries. Each type of battery can be subdivided step by step for continuous improvement and expansion. As such, battery technology will become the key to future competition.

Energy performance contracts are a very promising area for attracting private investment in the renewable energy sector. The concept of energy performance contracting is a well-established mechanism aimed at increasing the energy efficiency of a facility and reducing annual maintenance costs. This paper presents a hierarchical model of a decentralized energy system with renewable energy sources and a battery energy storage system under an energy service agreement. This model reflects the interaction between the client and the performance company. The model includes the main parameters characterizing the energy service contract, such as net present value, contract duration and levelized cost of energy. As an example, a real decentralized power system is considered, which currently only uses diesel generation. In the case of building a photovoltaic system, the optimal equipment composition consists of a 100 kW solar station and storage batteries with a capacity of 240 kW·h. The optimal contract term is 5 years, and diesel fuel savings are 69%.

Energy performance contracts are a very promising area for attracting private investment in the renewable energy sector. The concept of energy performance contracting is a well-established mechanism aimed at increasing the energy efficiency of a facility and reducing annual maintenance costs. This paper presents a hierarchical model of a decentralized energy system with renewable energy sources and a battery energy storage system under an energy service agreement. This model reflects the interaction between the client and the performance company. The model includes the main parameters characterizing the energy service contract, such as net present value, contract duration and levelized cost of energy. As an example, a real decentralized power system is considered, which currently only uses diesel generation. In the case of building a photovoltaic system, the optimal equipment composition consists of a 100 kW solar station and storage batteries with a capacity of 240 kW·h. The optimal contract term is 5 years, and diesel fuel savings are 69%.

This dataset presents the experimental campaign for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. The experimental campaign, conducted at the Energy Laboratory for Interdisciplinary Storage Applications (ELISA) at the University of Trieste, Italy, employs non-destructive tests to assess the performance of each cell within the batch. The cell-level testing procedures include fixed Constant Current Constant Voltage (CCCV) charging and Constant Current (CC) discharging at low current rates, Hybrid Pulse Power Characterization (HPPC) tests at various C-rates (i.e., 1C and C/3), Electrochemical Impedance Spectroscopy (EIS) at different State of Charge (SOC) levels, and three distinct driving cycles (WLTP, UDDS and US06). All the experiments were conducted at three different ambient temperatures (10°C, 25°C, and 40°C), resulting in a comprehensive dataset for assessing the performance metrics of the battery cells. This dataset provides valuable insights into post-manufacturing cell-to-cell variations in performance metrics such as capacity and impedance within a batch of fresh cells. Additionally, it serves as a crucial resource for developing battery models, including physics-based, empirical, and data-driven approaches. Moreover, it may contribute to validate model-based and data-driven estimation and control strategies within battery management systems, enhancing the reliability and efficiency of energy storage solutions.

This dataset presents the experimental campaign for a batch of eleven prismatic CALB L148N58A lithium-ion B-grade battery cells with a nominal capacity of 58 Ah. The experimental campaign, conducted at the Energy Laboratory for Interdisciplinary Storage Applications (ELISA) at the University of Trieste, Italy, employs non-destructive tests to assess the performance of each cell within the batch. The cell-level testing procedures include fixed Constant Current Constant Voltage (CCCV) charging and Constant Current (CC) discharging at low current rates, Hybrid Pulse Power Characterization (HPPC) tests at various C-rates (i.e., 1C and C/3), Electrochemical Impedance Spectroscopy (EIS) at different State of Charge (SOC) levels, and three distinct driving cycles (WLTP, UDDS and US06). All the experiments were conducted at three different ambient temperatures (10°C, 25°C, and 40°C), resulting in a comprehensive dataset for assessing the performance metrics of the battery cells. This dataset provides valuable insights into post-manufacturing cell-to-cell variations in performance metrics such as capacity and impedance within a batch of fresh cells. Additionally, it serves as a crucial resource for developing battery models, including physics-based, empirical, and data-driven approaches. Moreover, it may contribute to validate model-based and data-driven estimation and control strategies within battery management systems, enhancing the reliability and efficiency of energy storage solutions.

İlgili çalışma 9-10 Eylül 2019 tarihinde düzenlenecek olan "International Natural Science, Engineering and Material Technologies Conference" etkinliğinde kabul edilmiştir. Konferans tarihi geldiğinde sunum yapılacaktır. Energy has become an indispensable position into the development goals of today's countries. The need for energy is increasing in parallel with the development of the age and technology. To meet the energy demand; the use of alternative energy sources such as wind, solar, geothermal, hydroelectric, biomass, wave power, solar cell that support the conventional energy methods such as coal, oil, natural gas and nuclear is becoming widespread. To respond the increasing energy demand of the countries, various sources should work in the energy production and distribution systems coordinately. In such a system, energy management systems are planned in accordance with the determined policies. Following this planning, appropriate operational real-time working strategies were carried out. As is known, the electrical energy production conditions of some plants may vary depending on atmospheric conditions. Energy storage systems (ESS) are used to eliminate the instability and the distrust that may occur in electricity generation facilities. Since energy constitutes the basic input of all industrial sectors, a small improvement in this direction will affect all industrial sectors with the butterfly effect and the parties will gain huge profits. Therefore, there is a need for optimization applications and functional algorithms on ESSs to increase the stability, reliability, sustainability and demand responsiveness of energy. ESSs reduce the domino effect of grid failures because they convert interconnected networks into a decentralized form. In this study, the solar energy data obtained through PVGIS (Photovoltaic Geopraphical Information System), GSA (Global Solar Atlas) and PVSYST programs are adapted to the operational strategic working algorithm which is created in Matlab program. The most suitable output data are obtained according to the changing situations with the support of the battery energy storage system. The established system that is aim to benefit the user, was interpreted in the presence of BESS and in the absence of BESS.

İlgili çalışma 9-10 Eylül 2019 tarihinde düzenlenecek olan "International Natural Science, Engineering and Material Technologies Conference" etkinliğinde kabul edilmiştir. Konferans tarihi geldiğinde sunum yapılacaktır. Energy has become an indispensable position into the development goals of today's countries. The need for energy is increasing in parallel with the development of the age and technology. To meet the energy demand; the use of alternative energy sources such as wind, solar, geothermal, hydroelectric, biomass, wave power, solar cell that support the conventional energy methods such as coal, oil, natural gas and nuclear is becoming widespread. To respond the increasing energy demand of the countries, various sources should work in the energy production and distribution systems coordinately. In such a system, energy management systems are planned in accordance with the determined policies. Following this planning, appropriate operational real-time working strategies were carried out. As is known, the electrical energy production conditions of some plants may vary depending on atmospheric conditions. Energy storage systems (ESS) are used to eliminate the instability and the distrust that may occur in electricity generation facilities. Since energy constitutes the basic input of all industrial sectors, a small improvement in this direction will affect all industrial sectors with the butterfly effect and the parties will gain huge profits. Therefore, there is a need for optimization applications and functional algorithms on ESSs to increase the stability, reliability, sustainability and demand responsiveness of energy. ESSs reduce the domino effect of grid failures because they convert interconnected networks into a decentralized form. In this study, the solar energy data obtained through PVGIS (Photovoltaic Geopraphical Information System), GSA (Global Solar Atlas) and PVSYST programs are adapted to the operational strategic working algorithm which is created in Matlab program. The most suitable output data are obtained according to the changing situations with the support of the battery energy storage system. The established system that is aim to benefit the user, was interpreted in the presence of BESS and in the absence of BESS.