*** Towards sustainable heat supply with decentralized multi-energy systems by integration of subsurface seasonal heat storage ***
Els van der Roest1,2*, Stijn Beernink1,2, Niels Hartog1,3, Jan Peter van der Hoek2,4, and Martin Bloemendal1,2,* 

1 KWR Water Research Institute, Groningenhaven 7, 3430 BB Nieuwegein, The Netherlands
2 Faculty of Civil Engineering and Geosciences Delft University of Technology, Stevinweg 1, 2638 CN Delft, The Netherlands
3 Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands
4 Waternet, Korte Oudekerkerdijk 7, 1096 AC Amsterdam, The Netherlands
* Correspondence: els.van.der.roest@kwrwater.nl; martin.bloemendal@kwrwater.nl 

Corresponding author: Els van der Roest
Contact Information:
E.vanderroest@tudelft.nl/els.van.der.roest@kwrwater.nl
KWR Water Research Institute, 
Groningenhaven 7
3430 BB Nieuwegein
The Netherlands

***General Introduction***
This dataset contains raw model results ('SummaryFile_Raw.xlsx') from 10 different scenario's as part of a publication
'Towards sustainable heat supply with decentralized mul-ti-energy systems by integration of subsurface seasonal heat storage'  
It is being made public to act as supplementary data for publication(s) and the PhD thesis of Els van der Roest. 
Also, it might be used by other researchers.

The dataset was created during model runs in the period between January 2021 -  February 2021.


The authors would like to thank the TKI Watertechnology (2016KWR019 or RVO5289) and TKI Urban Energy (TEUE117059) in the Netherlands
for their financial contribution to the research projects that lay at the foundation of the model development.

***Description of the data in this data set***
All files contain hourly values of results produced with the Power-to-X model (a multi-energy-system model)
in Python, for the period 2010-2019. 
Each tab/sheet contains the resulting data of a model run for a specific scenario of a
high-temperature aquifer thermal energy system (HT-ATES).
The data have been used to calculate the warm well recovery efficiency, hot well recovery efficiency 
and system recovery efficiency in the paper. 
More information about the data analysis can be found in section 2.5.2 of the published paper: *** DOI will be added here ***

We define the following scenarios:
50|42|2
50|30|2
50|43|1.5
50|30|1.5
50|30|1
65|42|2
65|30|2
65|43|1.5
65|30|1.5
65|30|1

The name code can be translated as: condenser temperature|HT-ATES threshold temperature|heat pump size
The scenarios are further described in section 2.4 of the published paper: *** DOI will be added here ***


The column names in the first sheet of the data files are described below:
			Unit		Description
TS			-		Row number of the data
Date			d-m-yyyy	date within the run period	
Month			-		number of the month
Yearmonth		yyyymm		year + month		
Hour			-		hour of the day
Time			-		time in days since the start of the run period
f_hd (m^3)		m^3/hr		flow from HT-ATES
f_pv_aq (m^3)		m^3/hr		flow of heat to the HT-ATES
t_aq_m inf (C)		degrees C	temperature of warm well as calculated by MODFLOW (updated every 24 hours)
t_aq_w_mf (C)		degrees C	temperature of hot well as calculated by MODFLOW (updated every 24 hours)

