﻿This DATSETNAMEreadme.txt file was generated on 2022-02-07by Zhiwei Ma


GENERAL INFORMATION

1. Title of Dataset:  
Major results of numerical study of Brayton Pumped Thermal Energy Storage
with additional latent storage


2. Author Information
	A. Principal Investigator Contact Information
		Name:     Zhiwei Ma	
		Institution: Durham University
		Address: Durham University
		Email: zhiwei.ma@durham.ac.uk

	B. Associate or Co-investigator Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

	C. Alternate Contact Information
		Name: 
		Institution: 
		Address: 
		Email: 

3. Abstract

Pumped Thermal Energy Storage (PTES) is an increasingly attractive area of research due to its multidimensional
advantages over other grid scale electricity storage technologies. This paper built a model and numerically studied
the performance of an Argon based Brayton type PTES system. The model was used to optimise total work output
and round-trip eciency of the system. The aspect ratio of the thermal storage tanks and operation of packed bed
segmentation have been varied to assess their impacts on round-trip eciency. Longer and thinner tanks were found
to increase eciency, with the hot tank length aecting system performance to a greater extent than the cold tank.
Larger `temperature ratio' in segmentation operation were found to develop higher round-trip eciency, with higher exit
working fluid temperature from hot storage over a shorter duration demonstrating better performance. Key features
describing the power output were identied as the duration of the region of maximum power and the steepness of the
`power front'. To maximise the duration of the high power region and decrease the width of the power front, additional
latent heat storage was used, the eect of which on round-trip eciency was then assessed with predicted eciencies
of up to 80% using isentropic reciprocating compressor / expander architecture, which is close to the theoretically
predicted limit.

3. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD>: 
Jan-Aug 2021

4. Geographic location of data collection <latitude, longiute, or city/region, State, Country, as appropriate>:
n/a

5. Information about funding sources that supported the collection of the data:  
EPSRC Solar S&HP project (EP/T023090/1)


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 

2. Links to publications that cite or use the data: 

3. Links to other publicly accessible locations of the data: 

4. Links/relationships to ancillary data sets: 

5. Was data derived from another source? no
	A. If yes, list source(s): 

6. Recommended citation for this dataset: 


DATA & FILE OVERVIEW

1. File List: 
<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>
Round trip efficiency with different area.pdf
Round trip efficiency with different working gas.pdf
Segmentation Operation.pdf
PCM roundtrip efficiency.pdf
Temperature variation of the sensible and latent TES during discharge.pdf
Output power curves for permutations of hot PCM.pdf
LCOS.pdf

2. Relationship between files, if important: 

3. Additional related data collected that was not included in the current data package: 

4. Are there multiple versions of the dataset? no
	A. If yes, name of file(s) that was updated: 
		i. Why was the file updated? 
		ii. When was the file updated? 


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data: 
<describe how the submitted data were generated from the raw or collected data>
Numerical calculation by using Matlab

3. Instrument- or software-specific information needed to interpret the data: 
<include full name and version of software, and any necessary packages or libraries needed to run scripts>
Matlab

4. Standards and calibration information, if appropriate: 

5. Environmental/experimental conditions: 

6. Describe any quality-assurance procedures performed on the data: 

7. People involved with sample collection, processing, analysis and/or submission: 
Max Albert, Zhiwei Ma, Huashan Bao, Athony Paul Roskilly

DATA-SPECIFIC INFORMATION FOR: [FILENAME]
<repeat this section for each dataset, folder or file, as appropriate>

1. Number of variables: 

2. Number of cases/rows: 

3. Variable List: 
<list variable name(s), description(s), unit(s)and value labels as appropriate for each>

4. Missing data codes: 
<list code/symbol and definition>n

5. Specialized formats or other abbreviations used: 
