scholarly journals Scheduling strategy design for unit commitment with energy storage system and solar energy resource

2018 ◽  
Author(s):  
◽  
Lingzi Qin
Entropy ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. 764
Author(s):  
Xiaotao Chen ◽  
Xiaodai Xue ◽  
Yang Si ◽  
Chengkui Liu ◽  
Laijun Chen ◽  
...  

The comprehensive utilization technology of combined cooling, heating and power (CCHP) systems is the leading edge of renewable and sustainable energy research. In this paper, we propose a novel CCHP system based on a hybrid trigenerative compressed air energy storage system (HT-CAES), which can meet various forms of energy demand. A comprehensive thermodynamic model of the HT-CAES has been carried out, and a thermodynamic performance analysis with energy and exergy methods has been done. Furthermore, a sensitivity analysis and assessment capacity for CHP is investigated by the critical parameters effected on the performance of the HT-CAES. The results indicate that round-trip efficiency, electricity storage efficiency, and exergy efficiency can reach 73%, 53.6%, and 50.6%, respectively. Therefore, the system proposed in this paper has high efficiency and flexibility to jointly supply multiple energy to meet demands, so it has broad prospects in regions with abundant solar energy resource.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Chih-Ping Yang ◽  
Shih-Hao Yu ◽  
Fu-Der Mai ◽  
Tai-Chih Kuo ◽  
Yu-Chuan Liu

AbstractNowadays, solar energy is the most environmentally friendly energy source to drive many chemical reactions and physical processes. However, the corresponding fabrication procedures for obtaining excellent energy-storage devices are relatively complicated and expensive. In this work, we report an innovative strategy on plasmon-activated water (PAW) serving as energy-storage medium from solar energy. The lifetime of the created energetic PAW solution from hot electron transfer (HET) on Au nanoparticles (AuNPs) illuminated with sunshine can last for 2 days, making the energy-storage system is practically available. Encouragingly, the energy-conversion efficiency from the solar energy in the PAW solution is ca. 6.7%. Compared to conventional deionized (DI) water solution, the prepared metastable PAW solution exhibited distinctly higher chemical potential at room temperature. It demonstrates abilities in faster evaporation and enhancing chemical reactions, including hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Our proposed strategy on the simple and cheap energy-storage system based on prepared PAW utilizing solar energy is the first time shown in the literature.


Author(s):  
Abdul Matin Ibrahimi ◽  
Harun Or Rashid Howlader ◽  
Mir Sayed Shah Danish ◽  
Ryuto Shigenobu ◽  
Mohammad Masih Sediqi ◽  
...  

Abstract Power sector, as one of the least progressed division, is limiting the socioeconomic development in Afghanistan. Although the country has a vast solar energy potential with a bright prospect for growth, however inadequate endorsement and attention have prevented its proper use. Meanwhile, Kabul the capital city and one of the fastest growing cities in the world, is suffering severe challenges to supply its energy needs. Presently, Kabul electrical system is subjected to insecure and insufficient supply due to the lack of integrated networks and deployment of Renewable Energy (RE) sources. This research investigates an appropriate approach by introducing two Linear Fresnel Reflector (LFR) plants with a total capacity of 120 MW to overcome the present challenges in Kabul city. The proposed LFR units are incorporated with an energy storage system of full capacity production for five hours to cover the power shortage at night. The design aspect of LFR is specified by using of System Adviser Model (SAM). Levelized Cost of Electricity (LCOE) and the total annual output of the proposed LFR units are estimated as 0.2508$/kWh and 294,657.28 kWh respectively. To minimize the total operating costs of the integrated model and mitigate CO2 emissions, an optimal Unit Commitment is (UC) fulfilled as well. UC is accomplished by using MATLAB INTLINPROG optimization toolbox.


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