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Open AccessArticle

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

Faculty of Electrical and Mechanical Engineering, University of Colima, Km. 9 Carretera Colima-Coquimatlán, Coquimatlán Col. C.P. 28400, Mexico
Agrobio-Technological Laboratory, University of Colima Tecnoparque CLQ, Colima, C.P. 28629, Mexico
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2018, 8(3), 350;
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)
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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MDPI and ACS Style

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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