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Three data files are provided for Case Study 1 in the openENTRANCE project: Full_potential.V9.csv, metaData.Full_Potential.csv, and acheivable_NUTS2_summary.csv. The data covers 10 residential devices on the NUTS2 level for the EU27 + UK +TR + NO + CH from 2020-2050. The devices included are storage heater, water heater with storage capabilitites, air conditiong, heat circulation pump, air-to-air heat pump, refreigeration (includes refrigerators and freezers), dish washer, washing machine, and tumble drier. Full_potential.V9.csv shows the NUTS2 level unadjusted loads for residential storage heater, water heater, air conditiong, circulation pump, air-to-air heat pump, refreigeration (includes refrigerators and freezers), dish washer, washing machine, and tumble drier using representative hours from 2020-2050. The loads provided here have not been adjusted with the direct load participation rates (see paper for more details). More details on the dataset can be found in the metaData.Full_Potential.csv file. The acheivable_NUTS2_summary.csv shows the NUTS2 level acheivable direct load control potentials for the average hour in the respective year (years - 2020, 2022,2030,2040, 2050).

The goal of WP3 is to develop a design framework for novel ground (slinky/earth basket) type shallow heat exchangers. This design framework, based on developing theoretical models of heat transfer and on experimental data, will be implemented in a design- and engineering calculation tool to support the implementation of these new technologies in the market. The design framework defines the goals of the (thermal and hydraulic) design (especially sizing) of the ground source heat exchanger, as a function of different boundary conditions (building energy demand, soil thermal parameters, required system performance etc.). Moreover, an engineering tool it is aimed at the overall system design and will support the engineer in the choices of heat exchanger technology (vertical, horizontal or earth basket/slinky) and other design parameterizations. This deliverable describes the overall design process and provides information and procedures for data collection and evaluation. The detailed description of the design process for different types of Ground Heat Exchangers is based on the design of the actual GHEX systems implemented in the demo sites of the Geofit project and includes vertical borehole heat exchangers, shallow slinky heat exchangers and earth basket type heat exchangers. This deliverable is suited to be implemented in a design handbook or procedure that can be part of an integrated quality control system.

The EMB3Rs Unified Modelling Platform is a tool to assist on modelling the recovery of excess heat and its reuse to meet final energy demand within and beyond the boundaries of industrial sites. The tool consists of a knowledge base and several simulation modules. This database comprises the research data generated in the course of the EMB3Rs project by using the EMB3Rs platform. The pdf file contains the detailed description of the database content It has been deposited at Zenodo’s open data repository with DOI 10.5281/zenodo.7994255.

This dataset contains the underlying data for the following publication: Song, L., Lieu, J., Nikas, A., Arsenopoulos, A., Vasileiou, G., & Doukas, H. (2020). Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment. Energy Research & Social Science, 59, 101306., https://doi.org/10.1016/j.erss.2019.101306. Full details of methods used to create the dataset and provided within this publication.

OSeEM-SN is a tool constructed using Oemof Tabular to apply cross-sectoral approaches for analyzing 100% renewable and sector-coupled sub-national energy systems. The model is validated using the case study of Schleswig-Holstein, Germany. To run the scripts, you need to install Oemof Tabular using the following command- pip install oemof.tabular For details on Oemof Tabular please go through the documentation- https://oemof-tabular.readthedocs.io/ The model uses Oemof-Solph, a model generator for energy system modelling and optimisation. The oemof.solph package is part of the Open energy modelling framework (Oemof). This an organisational framework to bundle tools for energy system modelling. Details on Oemof-Solph is described here- https://github.com/oemof/oemof-solph The article based on the OSeEM-SN based analysis of Schleswig-Holstein is available at- https://www.mdpi.com/2071-1050/13/7/3852 The complete model, including all datasets, scripts, and results are available at: Details are also available at: https://github.com/znes/OSeEM-SN If you have any questions about the model, please contact- mnimaruf@gmail.com

Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. Temporal extent The map is representative for ca. 2018. Data format Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. Units area in m² height in m volume in m³ mass in t for infrastructure and buildings Further information For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at). A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. Publication Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.

The questionnaire is provided in pdf "GreenSoul_Questionnaire.pdf" The coded data from 303 interviewees is provided in "all_code_final_zenodo.xlsx" The dataset is composed of several factors which are all explained in different TXT files. * socio-economic_description_not_dependent_of_work.txt - Contains all the information from participants which is irrespective of their current workplace. This file contains typical socio-demographic and cultural attributes from respondents. * socio-economic_description_dependent_of_work.txt - Contains socio-economic and cultural information from participants which is relevant to the workplace in relation to energy efficient practices in such an environment. * actions-at-work.txt - Are a set of attributes which describe certain practices of employees in relation to energy efficiency. * persuasive_strategies.txt - Explain the ratings from 1 to 5 that participants attributed to a set of persuasive strategies. These strategies are framed within Psychological Persuasive principles which are also explained in the file. * all_attributes_together.txt - All the variables together without distinction of the environment where they are applicable. Finally, plots from every construct or attribute are provided in the files uploaded in "PNG" extension

pre-built Euro-Calliope Ready to use models of the European electricity system built using Calliope. Models are available on three different spatial resolutions: continental, national, and regional. In addition, euro-calliope models can be built manually which adds more configuration options. To build euro-calliope manually, head over to GitHub. At a glance euro-calliope models the European electricity system with each location representing an administrative unit. It is built on three spatial resolutions: on the continental level as a single location, on the national level with 34 locations, and on the regional level with 497 locations. On each node, renewable generation capacities (wind, solar, bioenergy) and balancing capacities (battery, hydrogen) can be built. In addition, hydro electricity and pumped hydro storage capacities can be built up to the extent to which they exist today. All capacities are used to satisfy electricity demand on all locations which is based on historic data. Locations are connected through transmission lines of unrestricted capacity. Using Calliope, the model is formulated as a linear optimisation problem with total monetary cost of all capacities as the minimisation objective. The pre-built models can be manipulated by updating any of the files. In addition to the pre-built models, models can be built manually. Manual builds provide more flexibility in adapting and configuring the model. To build euro-calliope manually, head over to GitHub. Get ready to run the models You need a Gurobi license installed on your computer. You may as well choose another solver than Gurobi. See Calliope���s documentation to understand how to switch to another solver. You need to have Calliope and Gurobi installed in your environment. The easiest way to do so is using conda. Using conda, you can create a conda environment from within you can build the model: conda env create -f environment.yaml conda activate euro-calliope Run the models There are three models in this directory ��� one for each of the three spatial resolutions continental, national, and regional. You can run all three models out-of-the-box, but you may want to modify the model. By default, the model runs for the first day of January only. To run the example model on the continental resolution type: $ calliope run ./continental/example-model.yaml For more information on how to use and modify Calliope models, see Calliope���s documentation. Manipulating the model using overrides Calliope overrides allow to easily manipulate models. An override named freeze-hydro-capacities can be used for example in this way: calliope run build/model/continental/example-model.yaml --scenario=freeze-hydro-capacities You can define your own overrides to manipulate any model component. The following overrides are built into euro-calliope: directional-rooftop-pv By default, euro-calliope contains a single technology for rooftop PV. This technology comprises the total rooftop PV potential in each location, in particular including east-, west-, and north-facing rooftops. While this allows to fully exploit the potential of rooftop PV, it leads to less than optimal capacity factors as long as the potential is not fully exploited. That is because, one would likely first exploit all south-facing rooftop, then east- and west-facing rooftops, and only then ��� if at all ��� north-facing rooftops. By default, euro-calliope cannot model that. When using the directional-rooftop-pv override, there are three instead of just one technologies for rooftop PV. The three technologies comprise (1) south-facing and flat rooftops, (2) east- and west-facing rooftops, and (3) north-facing rooftops. This leads to higher capacity factors of rooftop PV as long as the potential of rooftop PV is not fully exploited. However, this also increases the complexity of the model. freeze-hydro-capacities By default, euro-calliope allows capacities of run-of-river hydro, reservoir hydro, and pumped storage hydro capacities up to today���s levels. Alternatively, it���s possible to freeze these capacities to today���s levels using the freeze-hydro-capacities override. Model components The models contain the following files. All files in the root directory are independent of the spatial resolution. All files that depend on the spatial resolution are within subfolders named by the resolution. ��������� {resolution} <- For each spatial resolution an individual folder. ��� ��������� capacityfactors-{technology}.csv <- Timeseries of capacityfactors of all renewables. ��� ��������� directional-rooftop.yaml <- Override discriminating rooftop PV by orientation. ��� ��������� electricity-demand.csv <- Timeseries of electricity demand on each node. ��� ��������� example-model.yaml <- Calliope model definition. ��� ��������� link-all-neighbours.yaml <- Connects neighbouring locations with transmission. ��� ��������� locations.csv <- Map from Calliope location id to name of location. ��� ��������� locations.yaml <- Defines all locations and their max capacities. ��������� build-metadata.yaml <- Metadata of the build process. ��������� demand-techs.yaml <- Definition of demand technologies. ��������� environment.yaml <- Conda file defining an environment to run the model in. ��������� interest-rate.yaml <- Interest rates of all capacities. ��������� link-techs.yaml <- Definition of link technologies. ��������� README.md <- The file you are currently looking at. ��������� renewable-techs.yaml <- Definition of supply technologies. ��������� storage-techs.yaml <- Definition of storage technologies. Units of quantities The units of quantities within the models are the following: power: 100,000 MW energy: 100,000 MWh area: 10,000 km2 monetary cost: 1e+09 EUR These units were chosen in order to minimise numerical issues within the optimisation algorithm. License and attribution euro-calliope has been developed and is maintained by Tim Tr��ndle, IASS Potsdam. If you use euro-calliope in an academic publication, please cite the following article: Tr��ndle, T., Lilliestam, J., Marelli, S., Pfenninger, S., 2020. Trade-offs between geographic scale, cost, and infrastructure requirements for fully renewable electricity in Europe. Joule. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Contains modified Copernicus Atmosphere Monitoring Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Contains modified data from Renewables.ninja. Contains modified data from Open Power System Data.