https://scholars.lib.ntu.edu.tw/handle/123456789/411393
Title: | Maximum-power-point tracking control of solar heating system | Authors: | Huang B.-J. Ton W.-Z. Wu C.-C. Ko H.-W. Chang H.-S. Yen R.-H. Wang J.-C. |
Keywords: | Solar collector; Solar control; Solar heating; Solar process heat; Solar system; Solar thermal | Issue Date: | 2012 | Journal Volume: | 86 | Journal Issue: | 11 | Start page/Pages: | 3278-3287 | Source: | Solar Energy | Abstract: | The present study developed a maximum-power point tracking control (MPPT) technology for solar heating system to minimize the pumping power consumption at an optimal heat collection. The net solar energy gain Q net (=Q s-W p/η e) was experimentally found to be the cost function for MPPT with maximum point. The feedback tracking control system was developed to track the optimal Q net (denoted Q max). A tracking filter which was derived from the thermal analytical model of the solar heating system was used to determine the instantaneous tracking target Q max(t). The system transfer-function model of solar heating system was also derived experimentally using a step response test and used in the design of tracking feedback control system. The PI controller was designed for a tracking target Q max(t) with a quadratic time function. The MPPT control system was implemented using a microprocessor-based controller and the test results show good tracking performance with small tracking errors. It is seen that the average mass flow rate for the specific test periods in five different days is between 18.1 and 22.9kg/min with average pumping power between 77 and 140W, which is greatly reduced as compared to the standard flow rate at 31kg/min and pumping power 450W which is based on the flow rate 0.02kg/sm 2 defined in the ANSI/ASHRAE 93-1986 Standard and the total collector area 25.9m 2. The average net solar heat collected Q net is between 8.62 and 14.1kW depending on weather condition. The MPPT control of solar heating system has been verified to be able to minimize the pumping energy consumption with optimal solar heat collection. © 2012 Elsevier Ltd. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866525035&doi=10.1016%2fj.solener.2012.08.019&partnerID=40&md5=21e53d1a01ad9e0809e273d436e3fdc8 https://scholars.lib.ntu.edu.tw/handle/123456789/411393 http://ntur.lib.ntu.edu.tw/bitstream/246246/260610/1/2012 SE MPPT solar heating.pdf |
ISSN: | 0038092X | DOI: | 10.1016/j.solener.2012.08.019 | SDG/Keyword: | Feedback tracking control; Heat collection; Mass flow rate; PI Controller; Point tracking; Pumping power; Pumping power consumption; Quadratic time; Solar control; Solar heat; Solar heating system; Solar process; Solar thermal; Tracking controls; Tracking errors; Tracking filter; Tracking performance; Weather conditions; Adaptive control systems; Controllers; Energy utilization; Flow rate; Navigation; Optimization; Solar collectors; Solar heating; Solar system; Target tracking; control system; error analysis; experimental design; heating; pumping; solar activity |
Appears in Collections: | 機械工程學系 |
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