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This text describes the data presented in the paper: A Chemisorption Power Generation Cycle with Multi-stage Expansion Driven by Low Grade Heat 

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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) Two spreadsheets in the Excel file containing the data of the simulated performance and the operating condtions considered.
2) A Matlab file contains a programm that is used to calculated the desorption and expansion with reheat at optimal desorption temperature
3) A Matlab file contains a programm that is ussed to calculate the desorption at given heat source temperature and the maximum work output


Explain the relationship between multiple data sets, if required:
Some of the calculated results using the Matlab programm is summarised and organised in the Excel spreadsheets


Key words used to describe the data:
resorption cycle for power generation, optimal desorption temperature, multi-expansion, work output, 


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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:

In order to explore the maximum potential of the proposed system concept for power generation, the performance was evaluated through theoretical thermodynamic analysis with some simplified assumptions: (1) The chemical reaction conversion 
is assumed as 100%. (2) The equilibrium drop, the driving force of chemical reaction, is assumed from 0 bar to 2 bar for different cases. (3) Four typical salt ammines (CaCl2, SrCl2, MnCl2, NaBr) have been studied to group up four working 
pairs for resorption cycles. (3) isentropic expansion and compression. (4) the exhaust state is at the saturation state of the refrigerant (ammonia).

All the calculation equations used have been presented in the published article. These equations were coded in the Matlab programm so that a set of performance data could be generated very quickly once the operating condtions were given. 

The spreadsheet data is the calculated performance data, including the material properties, the thermal conditions, the evaluated energy and exergy efficiency.


Instruments, hardware and software used: 

Matlab


Date(s) of data collection: 

The last date when the data collection was updated was 05-12-2016.


Geographic coverage of data:



Data validation (how was the data checked, proofed and cleaned):

The data deposited is the numerical calculation and parametric analysis based on theoretical thermodynamics, this data has not been experimentally validated. 


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: 

The data of the studied operating conditions in the first spreadsheet are, from left to right,  heat source temperature, desorption temperature, equilibrium drop, mass amount of refrigerant (ammonia), sensible heat consumed in desorption process, 
desorption heat, reheating heat, the total heat consumption during the desorption process, the potential work output in the first expansion, the exergy of the total heat input for the desorption, the exergy of the reheating process, the total exergy of 
the desorption + reheating, the volume of salt adsorbent, the mass of salt adsorbent, the number of expansion stages, the exhaust pressure of the last stage expansion, the exhaust pressure of the 2nd last stage expansion, the exhaust temperture of 
the last expansion, the exhaust temperature of the 2nd last expansion, the expansion ratio of the first expansion, the expansion ratio of the last expansion, the energy efficiency of the cycle, the cycle exergy efficiency.

The variables summarised in the second spreadsheet are similar to the first one.


Explanation of weighting and grossing variables: 

All the data present have been used for performance analysis. 


Outline any missing data:



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