# Summary of WP3 1st Iteration Interviews

A summary of inputs from 20+ interviews documented here: https://hackmd.io/liMPXzhIQ9ynjlDaUr_grw?view

## Data

**Projects members are looking for:**
* energy sources: electricity, gas, heat
* external buying (energy and associated certificates)
* storage (battery, water storage plants)
* raw materials: calorific value, impact on (carbon) footprint
* network utilization from grid providers (in what form? e.g. capacity of a power line)
* energy consumption: smartMeter / load profile counters and circumstances; profiles
* forecasting & simulation: synthetic profiles, historic data
* demographic and spatial data: population, tourism, events
* Greenhouse Gasses (GHG) & carbon footprint, ground sealing
* weather (historic, now, forecasts) about global irradiation, temp, wind speed, precipitation
* energy tariffs: energy / network
* energy trading (spot trading, long-term contracts)
* ESRS (European Sustainability Reporting Standards): CSRD
* economic data
* European supply chains & transport routes

**Project members may provide:**
* 4ward Energy
* to be provided through Energy Services, might be through E-Werk Franz
* already collected data from previous research projects
* Energy Services: EDA ecosystem
* data hub: https://www.eda.at/
* interfaces: https://www.ponton.de/eda-how-does-it-work
* data models: https://www.ebutilities.at/schemas/
* Salzburg AG
* sensor data from power plants
* market prices electricity
* Salzburg Netz
* local transport service data (bus, trains, ships)
* grid utilization (public data)

## Stakeholder
* energy provider (departments: production, trade, sales)
* energy communities
* grid provider / distribution grid operators
* regulatory body (E-control)
* (electricity) consumer
* private person (are they data provider or do they only consent to providing data?)
* providers and users of storage (battery), power inverter, photovoltaics, e-car
* information on living situation (status of building, family, income)
* institutions/organisations (e.g., FH)
* large consumers: public transport, agriculture, tourism, industry
* service provider
* companies: EDA GmbH, Energy Services
* types: Energy Management Systems, Aggregators
* external data sources
* weather: GeoSphere Austria / Energy Meteo
* mobility: ASFINAG, ÖBB, E-charging stations
* telecom provider
* social media (Google, Meta, X)
* meta roles
* funding authority / sponsor & evaluators
* legal frameworks (GDPR, EU Green Deal, DGA, Data Act)
* data space know-how, development resources, tools (FIWARE, IDSA, GAIA-X)
* beyond project domain
* advisory board
* (international) multipliers: communication of results
* advocacy ("Interessenvertretung")
* general public

## Dataflows

**current/existing dataflows:**
* Energiewirtschaftlicher Datenaustausch (EDA)
* E-Control
* Electricity Markets (EEX, EPEX)
* weather / satellite: GeoSphere Austria, Meteo
* ESG Hub from ÖKB

**envisioned dataflows:**
* planned energy monitoring for Landesholding Burgenland (& benchmarking)
* plan for network expansion and decentralised load balancing
* network maintenance during emergencies (plans for first 5s, 20s, 2min)
* students traveling to university (mobility use case)
* live data metering (electricity, gas, heat)
* link energy data with carbon emissions (more generally: GHG - Green House Gases)
* disaggregation for smartMeter data
* billing for energy communities
* ESG Reporting
* energy flow optimization
* flexible tariffs
* predictive maintenance
* possibilities with AI (improve forecasts, more efficiency)

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## Terms

### Energy Domain
* Energiegemeinschaft - energy community
* Fernwärme - district heating
* Netzausbau - grid expansion
* Netzbetreiber - distribution grid operator
* Netzauslastung - network utilization
* Stromanbieter - energy provider, electricity producers, powerplant operators, supplier
* Stromkonsumenten - (electricity) consumer, user, energy consuming appliance
* Stromnetz - grid, power grid, electricity network
* Stromzähler - smartMeter, load profile counter
* Wärmepump - heat pump
* Wechselrichter - power inverter

### Data Space Domain
* Data Holder - data owner, data source
* Data Intermediary - storage provider, infrastructure
* Data User - data using service, consumer
* Service in a Data Space - functional component

## Ideas for Data Visualization
* available data along production -> transport -> consumer
* representing / linking data to knowledge graphs (and identify gaps)
* from where in Austria does the data come from