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•J-VCharacterisation of the three component sub-cells of a triple-junction cell as a function of different AM.•Prediction of cell temperature by an iteration technique that converges to find a steady operating temperature.•Increases in air mass have a significant effect on thermal and electrical performance.

•A complex numerical modelling technique has been established to accurately predict the cell temperature and thermal load on a High Concentration Multi-Junction Photovoltaic Cell.•It has been established that a heat transfer coefficient of at least 2.4 kW/m2K is required to keep a multi-junction cell below a safe operating temperature of 80 °C, for a concentration ratio of 1000x.•The optimum mesh selection is performed for accuracy model simulation.

The high-efficiency III-V triple-junction solar cell device consists of GaInP/GaInAs/Ge, made from different semiconductor materials. Thus, via incorporating these materials with different energy band gaps, the consequence is reducing the thermalisation losses and increases in cell conversion efficiency. It is lattice matching and monolithically stacked to gain high conversion efficiency. In this work, CPV receiver performance behaviour is predicted as a function of various Tamb, AMand DNIvalues through integrating a thermal-electrical model. Hence, weather data measuring of DNI, AM, Tambfor three days at the unclouded and cloudy sky is profiteering to evaluate triple-junction solar cell performance at such conditions. Therefore, in real operating conditions daily, this value varies with time from sunrise to sunset, and the maximum values reach noon hours. The results have shown a variation in thermal-electrical performance parameters and energy production on small/large scale operating. For optimum performance, these environmental parameters needed to be considered: (i) the low values of Tamb; (ii) the low values of AM, (iii) the corresponding high values of DNIat clear/cloudy sky conditions.

•Novel experimental apparatus to test Li-Ion cells in isothermal conditions.•Ageing tests at CR = 1C and DR = 2C under isoperibolic and isothermal conditions.•Comparison of ageing rates under isoperibolic and isothermal conditions.•Effect of Li-Ion cell self-heating under isoperibolic conditions on cell ageing.•Optimal isothermal condition for Li-Ion cell lifetime performance identified.