TY - JOUR
T1 - Energy storage and management system design optimization for a photovoltaic integrated low-energy building
AU - Liu, Jia
AU - Chen, Xi
AU - Yang, Hongxing
AU - Li, Yutong
N1 - Funding Information:
The work described in this paper was primarily supported by the PhD. studentship of The Hong Kong Polytechnic University . This work was also supported by the research project ( 1-ZE8B ) of The Hong Kong Polytechnic University, China .
Funding Information:
The work described in this paper was primarily supported by the PhD. studentship of The Hong Kong Polytechnic University. This work was also supported by the research project (1-ZE8B) of The Hong Kong Polytechnic University, China.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/1/1
Y1 - 2020/1/1
N2 - This study aims to analyze and optimize the photovoltaic-battery energy storage (PV-BES) system installed in a low-energy building in China. A novel energy management strategy considering the battery cycling aging, grid relief and local time-of-use pricing is proposed based on TRNSYS. Both single-criterion and multi-criterion optimizations are conducted by comprehensively considering technical, economic and environmental performances of the system based on decision-making strategies including the weighted sum and minimum distance to the utopia point methods. The single-criterion optimizations achieve superior performances in the energy supply, battery storage, utility grid and whole system aspect respectively over the existing scenario of the target building. The multi-criterion optimization considering all performance indicators shows that the PV self-consumption and PV efficiency can be increased by 15.0% and 48.6% while the standard deviation of net grid power, battery cycling aging and CO2 emission can be reduced by 3.4%, 78.5% and 34.7% respectively. The significance and impact of design parameters are further quantified by both local and global sensitivity analyses. This study can provide references for the optimum energy management of PV-BES systems in low-energy buildings and guide the renewable energy and energy storage system design to achieve higher penetration of renewable applications into urban areas.
AB - This study aims to analyze and optimize the photovoltaic-battery energy storage (PV-BES) system installed in a low-energy building in China. A novel energy management strategy considering the battery cycling aging, grid relief and local time-of-use pricing is proposed based on TRNSYS. Both single-criterion and multi-criterion optimizations are conducted by comprehensively considering technical, economic and environmental performances of the system based on decision-making strategies including the weighted sum and minimum distance to the utopia point methods. The single-criterion optimizations achieve superior performances in the energy supply, battery storage, utility grid and whole system aspect respectively over the existing scenario of the target building. The multi-criterion optimization considering all performance indicators shows that the PV self-consumption and PV efficiency can be increased by 15.0% and 48.6% while the standard deviation of net grid power, battery cycling aging and CO2 emission can be reduced by 3.4%, 78.5% and 34.7% respectively. The significance and impact of design parameters are further quantified by both local and global sensitivity analyses. This study can provide references for the optimum energy management of PV-BES systems in low-energy buildings and guide the renewable energy and energy storage system design to achieve higher penetration of renewable applications into urban areas.
KW - Battery energy storage
KW - Energy management
KW - Optimization
KW - Sensitivity analysis
KW - Solar photovoltaic
UR - http://www.scopus.com/inward/record.url?scp=85075396870&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2019.116424
DO - 10.1016/j.energy.2019.116424
M3 - Article
AN - SCOPUS:85075396870
SN - 0360-5442
VL - 190
JO - Energy
JF - Energy
M1 - 116424
ER -