Research Article
Sizing Optimization and Experimental Verification of a Hybrid Generation Water Pumping System in a Greenhouse
Table 2
Input parameters of the optimization model for simulation.
| | Input parameters | Value |
| | Irrigation area (m2) | 350 | | Irrigation duration (h) | 8 | | Irrigation water use efficiency (%) | 80 | | Water pump efficiency (%) | 40 | | Water pump head (m) | 20 | | Water density (g m−3) | 1 | | Acceleration of gravity (m s−2) | 9.8 | | Cost of PV (RMB) | 1000 | | PV panel area (m2) | 1.5 | | Solar radiation (W m−2) | Figure 4(a) | | Ambient temperature (°C) | Figure 4(b) | | Temperature coefficient | −0.34 | | Reference cell temperature (°C) | 25 | | Cost of battery (RMB) | 600 | | Cost of controller (RMB) | 1600 | | Nominal operation cell temperature (°C) | 45 | | PV panel efficiency at reference | 16.6 | | Charge efficiency of battery (%) | 90 | | Discharge efficiency of battery (%) | 85 | | Initial state of charge (%) | 60 | | Minimum SOC value (%) | 20 | | Maximum SOC value (%) | 80 | | Cost of wind generator (RMB W−1) | 3.7 | | Cut-in value (m s−1) | 1.5 | | Cut-out value (m s−1) | 15 | | Rated wind speed (m s−1) | 10 | | Wind speed (m s−1) | Figure 5 | | Real interest rate (%) | 3.1 | | Project lifetime (year) | 20 | | Inflation rate (%) | 3.5 | | Desired δLPS value (W) | 0 | | Desired δEX value (W) | 0 |
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