TY - JOUR
T1 - Validation of a pit thermal energy storage model
T2 - Demonstration of a comprehensive approach
AU - Reisenbichler-S., Michael
AU - Sifnaios, Ioannis
AU - Wotawa, Franz
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/4/30
Y1 - 2025/4/30
N2 - Pit thermal energy storage (PTES) systems can be a viable storage option in future energy systems to bridge the gap between supply and demand driven by the increase in variable renewable energy sources. The considerable size makes PTES construction projects capital-intensive ventures that require thorough planning, often supported by modeling and simulation efforts. The assessment of the models’ credibility and accuracy is therefore of fundamental importance. Previous studies have not considered relevant uncertainty contributions in determining the modeling error. The present work aimed to conduct a comprehensive model verification, validation, and uncertainty quantification (VVUQ) process for a newly developed PTES model in the modeling language Modelica. Based on an existing VVUQ standard (ASME V&V 20-2009), we considered the measurement, input parameter, and numerical uncertainty, and used five years of measurement data of the PTES in Dronninglund, Denmark. The reasonable agreement of the most important storage metrics with the measurements proves the model's general credibility, and in line with the common practice in the discipline, the model is considered validated. The estimated error in predicting the annual charge and discharge energy, and the internal energy is within ±5%; and the accuracy in predicting the storage water temperatures is ±2 K. The limitations in the experimental conditions did not allow a reliable estimation regarding the annual thermal losses; however, the mean comparison error was approximately 9%. The demonstrated comprehensive validation framework provides model accuracy insights for PTES projects and serves as foundation for validation studies of related storage technologies.
AB - Pit thermal energy storage (PTES) systems can be a viable storage option in future energy systems to bridge the gap between supply and demand driven by the increase in variable renewable energy sources. The considerable size makes PTES construction projects capital-intensive ventures that require thorough planning, often supported by modeling and simulation efforts. The assessment of the models’ credibility and accuracy is therefore of fundamental importance. Previous studies have not considered relevant uncertainty contributions in determining the modeling error. The present work aimed to conduct a comprehensive model verification, validation, and uncertainty quantification (VVUQ) process for a newly developed PTES model in the modeling language Modelica. Based on an existing VVUQ standard (ASME V&V 20-2009), we considered the measurement, input parameter, and numerical uncertainty, and used five years of measurement data of the PTES in Dronninglund, Denmark. The reasonable agreement of the most important storage metrics with the measurements proves the model's general credibility, and in line with the common practice in the discipline, the model is considered validated. The estimated error in predicting the annual charge and discharge energy, and the internal energy is within ±5%; and the accuracy in predicting the storage water temperatures is ±2 K. The limitations in the experimental conditions did not allow a reliable estimation regarding the annual thermal losses; however, the mean comparison error was approximately 9%. The demonstrated comprehensive validation framework provides model accuracy insights for PTES projects and serves as foundation for validation studies of related storage technologies.
KW - Heat storage
KW - Modelica
KW - PTES
KW - Uncertainty quantification
KW - Validation
KW - Verification
KW - VVUQ
UR - http://www.scopus.com/inward/record.url?scp=85219708064&partnerID=8YFLogxK
U2 - 10.1016/j.est.2025.115680
DO - 10.1016/j.est.2025.115680
M3 - Article
AN - SCOPUS:85219708064
SN - 2352-152X
VL - 116
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 115680
ER -