TY - GEN
T1 - FORMULATING A METEOROLOGICAL YEAR FOR MODELING SOLAR PV AND WIND TURBINE ELECTRICITY HARVEST AND HYDROGEN STORAGE TO MEET ELECTRICITY DEMAND IN A YEARLY CYCLE
AU - Alfulayyih, Yasir
AU - Li, Peiwen
AU - Gwesha, Ammar
N1 - Publisher Copyright:
© 2024 by ASME.
PY - 2024
Y1 - 2024
N2 - One of the most promising solutions of increasing the reliability to accelerate the penetration of the renewable electricity in the power sector worldwide is to reduce the uncertainty due to weather variability. The present study aims at developing a weather year generation methodology (WYGM) for sizing a solar PV and WT power plant and hydrogen energy storage (SWHPP) for a year-round reliable electricity supply such that the uncertainty is efficiently identified so its effect can be minimized. The formulated WYGM named “SITY”, which stands for speed-irradiance-temperature year. SITY has four major steps: global-sensitivity-analysis-based selection of parameters (GHI, wind speed, and ambient temperature), true-variability-and-real-sequence-based selection of block-size (equals to the temporal resolution), typical-to-extreme scenarios considerations in the generated formats (i.e., average, most-frequent, worst, and best), and applying an all-parameters-at-once candidacy criterion (Euclidean distance of a 3D-space) for selecting the best representative data point. In particular, for generating SITY, of the most-frequent format, a new method has been developed, which matches the nature of the selected parameters, and it operates in a site-specific fashion. SITY has been applied for a selected site and was input to an adopted sizing algorithm. According to SITY, the uncertainty, due to weather, can reach up to ±3.01% and ±5.6% out of the required area and energy storage capacity, respectively, for a SWHPP. Also, the normalized-percentage MBE and RMSE and the index of agreement, for the purpose of evaluating the efficacy of SITY to capture the true variability and real sequence of the most influenced parameters, were obtained, of the all four formats, as follows (range): (-4.24)-(1.48)/0.9-9.67/0.939-0.999, (-14.34)-(2.22)/2.67-28.94/0.59-0.99, (-14.25)-(10.25)/5.83-17.03/0.89-0.98; for GHI, wind speed and temperature, respectively. In future, SITY would be implemented in a software generator to avoid the site-specific limitation of applicability.
AB - One of the most promising solutions of increasing the reliability to accelerate the penetration of the renewable electricity in the power sector worldwide is to reduce the uncertainty due to weather variability. The present study aims at developing a weather year generation methodology (WYGM) for sizing a solar PV and WT power plant and hydrogen energy storage (SWHPP) for a year-round reliable electricity supply such that the uncertainty is efficiently identified so its effect can be minimized. The formulated WYGM named “SITY”, which stands for speed-irradiance-temperature year. SITY has four major steps: global-sensitivity-analysis-based selection of parameters (GHI, wind speed, and ambient temperature), true-variability-and-real-sequence-based selection of block-size (equals to the temporal resolution), typical-to-extreme scenarios considerations in the generated formats (i.e., average, most-frequent, worst, and best), and applying an all-parameters-at-once candidacy criterion (Euclidean distance of a 3D-space) for selecting the best representative data point. In particular, for generating SITY, of the most-frequent format, a new method has been developed, which matches the nature of the selected parameters, and it operates in a site-specific fashion. SITY has been applied for a selected site and was input to an adopted sizing algorithm. According to SITY, the uncertainty, due to weather, can reach up to ±3.01% and ±5.6% out of the required area and energy storage capacity, respectively, for a SWHPP. Also, the normalized-percentage MBE and RMSE and the index of agreement, for the purpose of evaluating the efficacy of SITY to capture the true variability and real sequence of the most influenced parameters, were obtained, of the all four formats, as follows (range): (-4.24)-(1.48)/0.9-9.67/0.939-0.999, (-14.34)-(2.22)/2.67-28.94/0.59-0.99, (-14.25)-(10.25)/5.83-17.03/0.89-0.98; for GHI, wind speed and temperature, respectively. In future, SITY would be implemented in a software generator to avoid the site-specific limitation of applicability.
KW - Big data
KW - Sensitivity analysis for design
KW - Solar and wind energy systems
KW - Variability and typical and extreme conditions of weather
UR - https://www.scopus.com/pages/publications/85206366093
UR - https://www.scopus.com/pages/publications/85206366093#tab=citedBy
U2 - 10.1115/ES2024-130843
DO - 10.1115/ES2024-130843
M3 - Conference contribution
AN - SCOPUS:85206366093
T3 - Proceedings of ASME 2024 18th International Conference on Energy Sustainability, ES 2024
BT - Proceedings of ASME 2024 18th International Conference on Energy Sustainability, ES 2024
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2024 18th International Conference on Energy Sustainability, ES 2024 collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 Fluids Engineering Division Summer Meeting
Y2 - 15 July 2024 through 17 July 2024
ER -