TY - GEN
T1 - Value-driven design and sensitivity analysis of hybrid energy systems using surrogate modeling
AU - Du, Wenbo
AU - Garcia, Humberto E.
AU - Binder, William R.
AU - Paredis, Christiaan J.J.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/20
Y1 - 2014/1/20
N2 - A surrogate modeling and analysis methodology is applied to study dynamic hybrid energy systems (HES). The effect of battery size on the smoothing of variability in renewable energy generation is investigated. Global sensitivity indices calculated using surrogate models show the relative sensitivity of system variability to dynamic properties of key components. A value maximization approach is used to consider the tradeoff between system variability and required battery size. Results are found to be highly sensitive to the renewable power profile considered, demonstrating the importance of accurate renewable resource modeling and prediction. The documented computational framework and preliminary results represent an important step towards a comprehensive methodology for HES evaluation, design, and optimization.
AB - A surrogate modeling and analysis methodology is applied to study dynamic hybrid energy systems (HES). The effect of battery size on the smoothing of variability in renewable energy generation is investigated. Global sensitivity indices calculated using surrogate models show the relative sensitivity of system variability to dynamic properties of key components. A value maximization approach is used to consider the tradeoff between system variability and required battery size. Results are found to be highly sensitive to the renewable power profile considered, demonstrating the importance of accurate renewable resource modeling and prediction. The documented computational framework and preliminary results represent an important step towards a comprehensive methodology for HES evaluation, design, and optimization.
KW - dynamic modeling and simulation
KW - hybrid energy systems
KW - renewable energy
KW - sensitivity analysis
KW - surrogate modeling
KW - value maximization
UR - https://www.scopus.com/pages/publications/84988292060
U2 - 10.1109/ICRERA.2014.7016416
DO - 10.1109/ICRERA.2014.7016416
M3 - Conference contribution
AN - SCOPUS:84988292060
T3 - 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
SP - 395
EP - 400
BT - 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
Y2 - 19 October 2014 through 22 October 2014
ER -