Thermodynamic process control of ocean thermal energy conversion

Journal Article

Title: Thermodynamic process control of ocean thermal energy conversion

Author:

Fan, C.; Wu, Z.; Wang, J.; Chen, Y.; Zhang, C.

Publication Date:

July 1, 2023

Journal:

Renewable Energy

Volume:

210

Pages:

810-821

Publisher:

Elsevier

Affiliation:

Southeast University, Suzhou University of Science and Technology

Technology:

OTEC

Collection Method:

Modeling

Engineering:

Hydrodynamics, Performance

Language:

English

Document Access

Website:

External Link

Citation

Fan, C.; Wu, Z.; Wang, J.; Chen, Y.; Zhang, C. (2023). Thermodynamic process control of ocean thermal energy conversion. Renewable Energy, 210, 810-821. https://doi.org/10.1016/j.renene.2023.04.029

@article{Fan-2023-20793,
author = {Fan, C and Wu, Z and Wang, J and Chen, Y and Zhang, C},
title = {Thermodynamic process control of ocean thermal energy conversion},
journal = {Renewable Energy},
year = {2023},
month = {jul},
publisher = {Elsevier},
volume = {210},
pages = {810--821},
doi = {10.1016/j.renene.2023.04.029},
url = {https://www.sciencedirect.com/science/article/pii/S0960148123004792},
keywords = {OTEC, Modeling, Hydrodynamics, Performance},
}

Export Citation to BibTex

TY - JOUR
TI - Thermodynamic process control of ocean thermal energy conversion
AU - Fan, C
AU - Wu, Z
AU - Wang, J
AU - Chen, Y
AU - Zhang, C
T2 - Renewable Energy
AB - The small temperature difference in ocean thermal energy conversion (OTEC) causes the high sensitivity of thermodynamic process to perturbations such as temperature and power load, which requires an efficient control strategy of thermodynamic process for OTEC. To this aim, an integral dynamic model is established to study the dynamic response of thermodynamic process in an OTEC system. To ensure the system efficiency and operating safety of power cycle, a multi-objective active-disturbance rejection control (ADRC) strategy is proposed and compared with corresponding single-objective ADRC and PI controller. Multi-objective ADRC includes a load-following control loop and two auxiliary control loops (evaporator control loop and condenser control loop). The results indicate that the multi-objective ADRC is most efficient to track the change of power load, in which the overshoot and integration absolute error (IAE) of load-following are reduced by 50% and 16% when compared with the single-objective ADRC. In addition, the multi-objective control strategy can maintain the stability of superheat degree and condensation pressure, and hence improves the system efficiency by 8.64% for the output power of 35 kW. Especially, the feedback-feedforward controller and feedback controller are attractive candidates to maintain the stable superheat degree and condensation pressure.
DA - 2023/07//
PY - 2023
PB - Elsevier
VL - 210
SP - 810
EP - 821
UR - https://www.sciencedirect.com/science/article/pii/S0960148123004792
DO - 10.1016/j.renene.2023.04.029
LA - English
KW - OTEC
KW - Modeling
KW - Hydrodynamics
KW - Performance
ER -

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Abstract

The small temperature difference in ocean thermal energy conversion (OTEC) causes the high sensitivity of thermodynamic process to perturbations such as temperature and power load, which requires an efficient control strategy of thermodynamic process for OTEC. To this aim, an integral dynamic model is established to study the dynamic response of thermodynamic process in an OTEC system. To ensure the system efficiency and operating safety of power cycle, a multi-objective active-disturbance rejection control (ADRC) strategy is proposed and compared with corresponding single-objective ADRC and PI controller. Multi-objective ADRC includes a load-following control loop and two auxiliary control loops (evaporator control loop and condenser control loop). The results indicate that the multi-objective ADRC is most efficient to track the change of power load, in which the overshoot and integration absolute error (IAE) of load-following are reduced by 50% and 16% when compared with the single-objective ADRC. In addition, the multi-objective control strategy can maintain the stability of superheat degree and condensation pressure, and hence improves the system efficiency by 8.64% for the output power of 35 kW. Especially, the feedback-feedforward controller and feedback controller are attractive candidates to maintain the stable superheat degree and condensation pressure.