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This text describes the data presented in the paper:  Performance study of solar photovoltaic-thermal collector for domestic hot water use and thermochemical sorption seasonal storage

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Introductory information
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Files included in the data deposit (include a short description of what data are contained): 

1) electrical and thermal production and conversion efficiency of the PV/T panel was modelled and simulated, with different output temperature of the hot water and the varying water flow rate 
2) with the varying weather condition, the variation of the water flow rate to meet the required hot water at constant temeprature, 
3) with the varying weather condition, the variation of the water flow rate to meet the requirement of heat source for thermochemical sorption storage system


Explain the relationship between multiple data sets, if required:



Key words used to describe the data: 
PV cell, electrical energy production, hot water flow rate, thermal energy production, conversion efficiency, thermochemical sorption, 



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Methodological information
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A brief method description � what the data is, how and why it was collected or created, and how it was processed:
Electrical power output and hot water output of a PV/T panel was simulated using the models developed in ANSYS Fluent and MATLAB, as the water output can be used for domestic hot water use or drive thermochemical sorption system for seasonal thermal storage.

Instruments, hardware and software used: 
MATLAB, Computational Fluid Dynamics in ANSYS Fluent


Date(s) of data collection: 
2018


Geographic coverage of data:
Newcastle University


Data validation (how was the data checked, proofed and cleaned):
The model developed has been validated against the datasheets of two types of commercial products, Siemens SM46 PV module and the Solarex MSX-60 PV module


Overview of secondary data, if used:



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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 



Explanation of weighting and grossing variables: 



Outline any missing data:



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Contact
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Please contact rdm@ncl.ac.uk for further information