An optimal scheduling model of an energy storage system with a photovoltaic system in residential buildings considering the economic and environmental aspects

2020 ◽  
Vol 209 ◽  
pp. 109701 ◽  
Author(s):  
Seunghoon Jung ◽  
Hyuna Kang ◽  
Minhyun Lee ◽  
Taehoon Hong
2016 ◽  
Vol 88 ◽  
pp. 375-381 ◽  
Author(s):  
Xiaolong Jin ◽  
Yunfei Mu ◽  
Hongjie Jia ◽  
Tao Jiang ◽  
Houhe Chen ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1402 ◽  
Author(s):  
Robert Małkowski ◽  
Marcin Jaskólski ◽  
Wojciech Pawlicki

This paper presents research on a hybrid photovoltaic-battery energy storage system, declaring its hourly production levels as a member of a balancing group submitting common scheduling unit to the day-ahead market. It also discusses the variability of photovoltaic system generation and energy storage response. The major research questions were whether the operation of a hybrid photovoltaic-battery energy storage system is viable from the technical and economic viewpoint and how to size battery energy storage for that purpose. The DIgSILENT PowerFactory environment was used to develop the simulation model of postulated hybrid system. Then, tests were conducted on real devices installed in the LINTE^2 laboratory at Gdańsk University of Technology, Poland. Firstly, power generation in the photovoltaic system was modeled using hardware in the loop technique and tested in cooperation with emulated photovoltaic and real battery energy storage system (lithium-ion battery, 25 kWh). Secondly, a real photovoltaic power plant (33 kW) and real battery energy storage were applied. The results obtained from laboratory experiments showed that market operation of hybrid photovoltaic-battery energy storage system is feasible. However, developing a control strategy constitutes a great challenge, as the operator is forced to intervene more frequently than the simulation models indicate in order to keep the parameters of battery storage within accepted ranges, especially in view of a sudden weather breakdown. Levelized cost of electricity from photovoltaic-battery energy storage system varied from 314 to 455 $/MWh, which has proven to be from two to three times higher than the current annual average day-ahead market price in Poland.


2020 ◽  
Vol 10 (3) ◽  
pp. 786
Author(s):  
Sung-Soo Kim ◽  
Wonbin Lee ◽  
Byeong Gwan Bhang ◽  
Jin Ho Choi ◽  
Sang Hun Lee ◽  
...  

In this study, a general building of medium size with an Energy Storage Systems (ESS)-connected Photovoltaic (PV) system (energy storage system that is connected to a photovoltaic system) was chosen to develop a tool for a better economic evaluation of its installation and use. The newly obtained results, from the revised economic evaluation algorithm that was proposed in this study, showed the effective return of investment period (ROI) would be 8.62 to 12.77 years. The ratio of maximum power demand to contract demand and the falling cost of PVs and ESS was the factors that could affect the ROI. While using the cost scenario of PVs and ESS from 2019 to 2024, as estimated by the experts, the ROI was significantly improved. The ROI was estimated to be between 4.26 to 8.56 years by the year 2024 when the cost scenario was considered. However, this result is obtained by controlling the ratio of maximum power demand to contract demand. Continued favorable government policies concerning renewable energy would be crucial in expanding the supply and investment in renewable energy resources, until the required ROI is attained.


Sign in / Sign up

Export Citation Format

Share Document