Vanxiang Electric Solar Air Conditioner Model

What is the performance of a solar photovoltaic thermoelectric air conditioner?

The performance of a solar photovoltaic thermoelectric air conditioner was experimentally studied. The COP of the air conditioner is estimated to be 1.14 at a PV current of 4.28 A and air flowrate of 14.40 m 3 /h. Random vector functional link approach was employed to model the solar air conditioner.

Can a microclimate solar cooling system improve human thermal comfort?

This research introduces a microclimate solar cooling system to enhance human thermal comfort and reduce electrical grid energy-based consumption. A novel solar photovoltaic thermoelectric air conditioner (SPVTEAC) for local air conditioning of a 1.0 m 3 compartment was experimentally examined under several interior cooling loads.

Does a solar photovoltaic thermoelectric air conditioner provide thermal comfort?

In this work, a solar photovoltaic thermoelectric air conditioner (SPVTEAC) is experimentally established and assessed to provide the simultaneous thermal comfort of local air conditioning of 1.0 m 3 compartment was experimentally examined under several interior cooling loads changing from 65.0 to 260 W.

How rvfln-WWO predict solar air conditioner performance?

Random vector functional link approach was employed to model the solar air conditioner. White whale optimizer was utilized to explore the optimal structure of random vector network. RVFLN-WWO had a unique accuracy in predicting the performance of the solar air conditioner.

Does the rvfln-WWO algorithm work for solar cooling applications?

Hence, it is deduced that the RVFLN-WWO algorithm succeeded in identifying the PV electric current, air-conditioned compartment temperature, and COP of the proposed SPVTEAC for solar cooling applications.

Is rvfln-WWO coupled modeling a good choice for solar energy technologies?

All, the application of the RVFLN-WWO coupled modeling demonstrates a positive performance over the stand-alone RVFLN for minimization of the computational time required to obtain the highly desired optima for solar energy technologies but also for most real-time applications. 6. Conclusions