Dynamic Simulation of System Performance Change by PID Automatic Control of Ocean Thermal Energy Conversion

Journal of Marine Science and Engineering

Lee Hoseang¹  Lim Seungtaek²  Kim Hyeonju² 

[1] Ocean Engineering, Daejeon 34103, Korea;;Seawater Utilization Plant Research Center, Korea Research Institute of Ships &

关键词: deep sea water;    surface water;    ocean thermal energy conversion;    closed cycle;    proportional–integral–differential controller;   

DOI  :  10.3390/jmse8010059

来源: DOAJ

【 摘 要 】

Near infinite seawater thermal energy, which is considered as an alternative to energy shortage, is expected to be available to 98 countries around the world. Currently, a demonstration plant is being built using closed MW class ocean thermal energy conversion (OTEC). In order to stabilize the operation of the OTEC, automation through a PID control is required. To construct the control system, the control logic is constructed, the algorithm is selected, and each control value is derived. In this paper, we established an optimal control system of a closed OTEC, which is to be demonstrated in Kiribati through simulation, to compare the operating characteristics and to build a system that maintains a superheat of 1 °C or more according to seawater temperature changes. The conditions applied to the simulation were the surface seawater temperature of 31 °C and the deep seawater temperature of 5.5 °C, and the changes of turbine output, flow rate, required power, and evaporation pressure of the refrigerant pump were compared as the temperature difference gradually decreased. As a result of comparing the RPM control according to the selected PID control value, it was confirmed that an error rate of 0.01% was shown in the temperature difference condition of 21.5 °C. In addition, the average superheat degree decreased as the temperature difference decreased, and after about 6000 s and a temperature decrease to 24 °C or less, the average superheat degree was maintained while maintaining the superheat degree of 1.7 °C on average.

【 授权许可】

Unknown