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Appl. Sci. 2018, 8(3), 350; https://doi.org/10.3390/app8030350

Smart Control System to Optimize Time of Use in a Solar-Assisted Air-Conditioning by Ejector for Residential Sector

1
Faculty of Electrical and Mechanical Engineering, University of Colima, Km. 9 Carretera Colima-Coquimatlán, Coquimatlán Col. C.P. 28400, Mexico
2
Agrobio-Technological Laboratory, University of Colima Tecnoparque CLQ, Colima, C.P. 28629, Mexico
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 25 January 2018 / Revised: 23 February 2018 / Accepted: 23 February 2018 / Published: 28 February 2018
(This article belongs to the Special Issue Smart Home and Energy Management Systems)

Abstract

The present work provides a series of theoretical improvements of a control strategy in order to optimize the time of use of solar air-conditioning by an ejector distributed in multiple solar collectors of vacuum tubes for the residential sector, which will allow us to reduce carbon-dioxide emissions, costs and electrical energy consumption. In a solar ejector cooling system, the instability of the solar source of energy causes an operational conflict between the solar thermal system and ejector cooling cycle. A fuzzy control structure for the supervisory ejector cycle and multi-collector control system is developed: the first control is applied to control the mass flow of the generator and the evaporator for different cooling capacities (3, 3.5, 4, 4.5 and 5 kW) and set a temperature reference according to the operating conditions; the second is applied to keep a constant temperature power source that feeds the low-grade ejector cooling cycle using R134aas refrigerant. For the present work, the temperature of the generator oscillates between 65 °C and 90 °C, a condenser temperature of 30 °C and an evaporator temperature of 10 °C. For the purpose of optimization, there are different levels of performance for time of use: the Mode 0 (economic) gives a performance of 17.55 h, Mode 5 (maximum cooling power) 14.86 h and variable mode (variable mode of capacities) 16.25 h, on average. Simulations are done in MATLAB-Simulink applying fuzzy logic for a mathematical model of the thermal balance. They are compared with two different types of solar radiation: real radiation and disturbed radiation. View Full-Text
Keywords: driven solar collector; fuzzy control; ejector cooling systems driven solar collector; fuzzy control; ejector cooling systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Avedian-González, G.; González-Potes, A.; Ibarra-Junquera, V.; Mata-López, W.A.; Escobar-del Pozo, C. Smart Control System to Optimize Time of Use in a Solar-Assisted Air-Conditioning by Ejector for Residential Sector. Appl. Sci. 2018, 8, 350.

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