Germany Electricity decreased 29.73 EUR/MWh or 25.69% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Germany Electricity Price.

This dataset provides values for ELECTRICITY PRICE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Electricity prices in Europe are expected to remain volatile through 2025, with Italy projected to have some of the highest rates among major European economies. This trend reflects the ongoing challenges in the energy sector, including the transition to renewable sources and the impact of geopolitical events on supply chains. Despite efforts to stabilize the market, prices in countries like Italy are forecasted to reach ****** euros per megawatt hour by February 2025, indicating persistent pressure on consumers and businesses alike. Natural gas futures shaping electricity costs The electricity market's future trajectory is closely tied to natural gas prices, a key component in power generation. Dutch TTF gas futures, a benchmark for European natural gas prices, are projected to be ***** euros per megawatt hour in April 2025. This represents an increase of about ** euros compared to the previous year, suggesting that gas prices will continue to influence electricity rates across Europe. The reduced output from the Groningen gas field and increased reliance on imports further complicate the pricing landscape, potentially contributing to higher electricity costs in countries like Italy. Regional disparities and global market influences While European electricity prices remain high, significant regional differences persist. For instance, natural gas prices in the United States are expected to be roughly one-third of those in Europe by March 2025, at **** U.S. dollars per million British thermal units. This stark contrast highlights the impact of domestic production capabilities on global natural gas prices. Europe's greater reliance on imports, particularly in the aftermath of geopolitical tensions and the shift away from Russian gas, continues to keep prices elevated compared to more self-sufficient markets. As a result, countries like Italy may face sustained pressure on electricity prices due to their position within the broader European energy market.

The data set contains result data for the German energy system in a long term scenario (scenario year 2045) as described in the publication "Implications of hydrogen import prices for the German energy system in a model-comparison experiment". The results have been generated with the models REMod of Fraunhofer Institute for Solar Energy Systems ISE, Enertile of Fraunhofer Institute for Systems and Innovation Research ISI, and SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. Abbreviations:

BEV - Battery Electric Vehicles CC - Combined Cycle CCGT - Combined Cycle Gas Turbine CHP - Combined heat and power CO2 - Carbon dioxide con - consumption FC - Fuel Cell FCEV - Fuel Cell Electric Vehicle gen - generation H2 - Hydrogen HT - High temperature ICE - Internal Combustion Engine LDV - Light-Duty Vehicle LT - Low temperature med - medium OC - Open Cycle OCGT - Open Cycle Gas Turbine PHEV - Plug-In Hybrid Vehicles PS - Pumped Storage PV - Photovoltaics ST - Steam turbine SynFuel - Synthetic fuel w/ - with w/o - without yr - year

Germany DE: Electricity Price: NH: Total kWh: excl Taxes & Levies data was reported at 0.179 EUR/kWh in Dec 2024. This records an increase from the previous number of 0.174 EUR/kWh for Jun 2024. Germany DE: Electricity Price: NH: Total kWh: excl Taxes & Levies data is updated semiannually, averaging 0.178 EUR/kWh from Dec 2021 (Median) to Dec 2024, with 7 observations. The data reached an all-time high of 0.183 EUR/kWh in Jun 2023 and a record low of 0.096 EUR/kWh in Dec 2021. Germany DE: Electricity Price: NH: Total kWh: excl Taxes & Levies data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Germany – Table DE.Eurostat: Electricity Price: Non-Household Consumers.

Italy Electricity decreased 21.69 EUR/MWh or 15.74% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Italy Electricity Price.

This dataset is about countries per year in Germany. It has 64 rows. It features 4 columns: country, access to electricity, and birth rate.

Electricity Day ahead Spot Prices Data

In Nord Pool Spot market players can buy and sell electricity for delivery the following day in their own area - Norway, Sweden, Finland, Denmark or Germany. The day-ahead prices indicate the balance between supply and demand.

Data is from 2024-02-22 to 2015-02-01

Hour UTC: A date and time (interval), shown in UTC time zone, where the values are valid. 00:00 o’clock is the first hour of a given day interval 00:00 - 00:59 and 01:00 covers the second hour (interval) of the day and so forth. Please note: The naming is based on the length of the interval of the finest grain of the resolution.

Hour DK: A date and time (interval), shown in Danish time zone, where the values are valid. 00:00 o’clock is the first hour of a given day, interval 00:00 - 00:59, and 01:00 covers the second hour period (interval) of the day and so forth.

Price area: Same as bidding zone. Denmark is divided in two price areas (bidding zones) divided by the Great Belt. DK1 is west of the Great Belt and DK2 is east of the Great Belt.

Note: The SYSTEM price is the unlimited balancing price at the Nordic electricity market irrespective of capacity congestions in the individual interconnections between the areas. The system price therefore serves as a reference price to which the area prices can be compared.

If Price area is “DK”, the data covers all Denmark. (Some datasets contain a limited number of price areas.)

Spot price (DKK): Day ahead spot price in the price area. (The day-ahead prices indicate the balance between supply and demand.)

Spot price (EUR): Day ahead spot price in the price area. (The day-ahead prices indicate the balance between supply and demand.)

https://www.energidataservice.dk/tso-electricity/Elspotprices

The dataset contains recordings of 15 homes over a period of up to 3.5 years, wherein total 50 appliances have been recorded at a frequency of 1 Hz. Recorded appliances are of significance for load-shifting purposes such as dishwashers, washing machines and refrigerators. One home also includes three-phase mains readings that can be used for disaggregation tasks. Additionally, DEDDIAG contains manual ground truth event annotations for 14 appliances, that provide precise start and stop timestamps.For further details and usage instructions consult the README.mdPython Dataset Loader: https://github.com/DEDDIAG/deddiag-loaderMonitoring System: https://deddiag.github.io

Load, wind and solar, prices in hourly resolution. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity prices, electricity consumption (load) as well as wind and solar power generation and capacities. The data is aggregated either by country, control area or bidding zone. Geographical coverage includes the EU and some neighbouring countries. All variables are provided in hourly resolution. Where original data is available in higher resolution (half-hourly or quarter-hourly), it is provided in separate files. This package version only contains data provided by TSOs and power exchanges via ENTSO-E Transparency, covering the period 2015-mid 2020. See previous versions for historical data from a broader range of sources. All data processing is conducted in Python/pandas and has been documented in the Jupyter notebooks linked below.

Energy Inflation in Germany decreased by 3.50 percent in June from -4.60 percent in May of 2025. This dataset includes a chart with historical data for Germany Energy Inflation.

Germany DE: Electricity Price: HC: 15000 KwH & Above: excl VAT & Other Recoverable Taxes & Levies data was reported at 0.283 EUR/kWh in Dec 2024. This records a decrease from the previous number of 0.290 EUR/kWh for Jun 2024. Germany DE: Electricity Price: HC: 15000 KwH & Above: excl VAT & Other Recoverable Taxes & Levies data is updated semiannually, averaging 0.221 EUR/kWh from Jun 2007 (Median) to Dec 2024, with 36 observations. The data reached an all-time high of 0.293 EUR/kWh in Jun 2023 and a record low of 0.151 EUR/kWh in Jun 2007. Germany DE: Electricity Price: HC: 15000 KwH & Above: excl VAT & Other Recoverable Taxes & Levies data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Germany – Table DE.Eurostat: Electricity Price: Household Consumers.

OSeEM-DE is a tool constructed using Oemof Tabular to apply cross-sectoral approaches for analyzing 100% renewable and sector-coupled energy system in 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

Preprint of the Journal Article for Applied Energy is available here- https://www.enerarxiv.org/page/thesis.html?id=2455

The final article information is given below-

Paper Title: Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050 Author: Md. Nasimul IslamMaruf Journal: Applied Energy Available Online: 2 March 2021 DOI: https://doi.org/10.1016/j.apenergy.2021.116618

Abstract: The ambitious energy target to achieve climate-neutrality in the European Union (EU) energy system raises the feasibility question of using only renewables across all energy sectors. As one of the EU’s leading industrialized countries, Germany has adopted several climate-action plans for the realistic implementation and maximum utilization of renewable energies in its energy system. The literature review shows a clear gap in comprehensive techniques describing an open modeling approach for analyzing fully renewable and sector-coupled energy systems. This paper outlines a method for analyzing the 100% renewable-based and sector-coupled energy system’s feasibility in Germany. Based on the open energy modeling framework, an hourly optimization tool ‘OSeEM-DE’ is developed to investigate the German energy system. The model results show that a 100% renewable-based and sector-coupled system for electricity and building heat is feasible in Germany. The investment capacities and component costs depend on the parametric variations of the developed scenarios. The annual investment costs vary between 17.6 and 26.6 bn €/yr for volatile generators and between 23.7 and 28.8 bn €/yr for heat generators. The model suggests an investment of a minimum of 2.7–3.9 bn €/yr for electricity and heat storage. Comparison of OSeEM-DE results with recent studies validates the percentage-wise energy mix composition and the calculated Levelized Cost of Electricity (LCOE) values from the model. Sensitivity analyses indicate that storage and grid expansion maximize the system’s flexibility and decrease the investment cost. The study concludes by showing how the tool can analyze different energy systems in the EU context.

Keywords: 100% renewable; Energy modeling; Energy transition; Flexibility; Open science; Sector coupling

The complete model, including all datasets, scripts, and results are available at: Details are also available at: https://github.com/znes/OSeEM-DE

If you have any questions about the model, please contact- mnimaruf@gmail.com

Germany DE: Electricity Price: NH: 150000 MwH & Above: excl Taxes & Levies data was reported at 0.115 EUR/MWh in Jun 2024. This records a decrease from the previous number of 0.138 EUR/MWh for Dec 2023. Germany DE: Electricity Price: NH: 150000 MwH & Above: excl Taxes & Levies data is updated semiannually, averaging 0.106 EUR/MWh from Dec 2019 (Median) to Jun 2024, with 10 observations. The data reached an all-time high of 0.194 EUR/MWh in Dec 2022 and a record low of 0.034 EUR/MWh in Jun 2020. Germany DE: Electricity Price: NH: 150000 MwH & Above: excl Taxes & Levies data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Germany – Table DE.Eurostat: Electricity Price: Non-Household Consumers.

This dataset contains results and additional data related to the publication "Import options for chemical energy carriers from renewable sources to Germany".

Files containing major results / important cost input data:

• results.csv: Contains major model results for all scenarios as CSV file (seperator is ';', all fields are quotes using double quotation marks '"'). Can be explored using standard software like Excel/Libre Office or other tools.
• costs.zip: Technology specific input cost assumption for 2030, 2040 and 2050.

The dataset further contains the following archives related to the model structure as contained in the software repository (GitHub):

• config.zip: File contents of the config/ folder of the model directory. Configuration files for running the model used by the publication.
• data.zip: File contents of the data/ folder of the model directory. Includes distance specifications, conversion efficiencies, details on shipping transport. Also contains (with this version) the cost data (same as in costs.zip).
• resources.zip: Some file contents of the resources/ folder of the model directory. Most files in this folder are automatically recreated if the Snakemake workflow is executed. The files in this archive are the files created by GlobalEnergyGIS (RES supply time-series and demand data for investigated regions) which is difficult to setup and are thus provided here as an optional dataset for download.
• results.zip: Optimised energy system models (PyPSA networks, for PyPSA version v0.19.3) for all scenarios (default 10% WACC, optimistic 5% WACC, scenarios for sensitivity analysis), energy supply chains (ESCs) and exporting countries. For each network an additional results.csv exists containing a number of key results extracted from each network. Also contains the combined results.csv file as results/results.csv for all scenario runs.

France Electricity decreased 4.49 EUR/MWh or 6.43% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for France Electricity Price.

Spain Electricity decreased 51.66 EUR/MWh or 38.02% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Spain Electricity Price.

This dataset contains information about world' solar natural gas prices from 1984. Data from BP. Follow datasource.kapsarc.org for timely data to advance energy economics research.Notes:* Source: 1984-1990 German Federal Statistical Office 1991-2016 German Federal Office of Economics and Export Control (BAFA).

† Source: ICIS Heren Energy Ltd

‡ Source: Energy Intelligence Group, Natural Gas Week.

Btu = British thermal units; cif = cost+insurance+freight (average prices)

Germany DE: Electricity Price: HC: Between 1000 & 2499 KwH: incl All Taxes & Levies data was reported at 0.443 EUR/kWh in Dec 2024. This records an increase from the previous number of 0.442 EUR/kWh for Jun 2024. Germany DE: Electricity Price: HC: Between 1000 & 2499 KwH: incl All Taxes & Levies data is updated semiannually, averaging 0.324 EUR/kWh from Jun 2007 (Median) to Dec 2024, with 36 observations. The data reached an all-time high of 0.454 EUR/kWh in Jun 2023 and a record low of 0.226 EUR/kWh in Jun 2007. Germany DE: Electricity Price: HC: Between 1000 & 2499 KwH: incl All Taxes & Levies data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Germany – Table DE.Eurostat: Electricity Price: Household Consumers.

Success.ai’s LinkedIn Company Data for the Renewable Energy Sector Worldwide provides a powerful and accurate dataset tailored for businesses and organizations aiming to connect with renewable energy companies and professionals globally. Covering roles and firms involved in solar, wind, hydro, and other renewable energy solutions, this dataset offers verified LinkedIn profiles, firmographic insights, and detailed decision-maker data.

With access to over 700 million verified global profiles, Success.ai ensures your marketing, outreach, and strategic initiatives are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to succeed in the fast-evolving renewable energy industry.

Why Choose Success.ai’s LinkedIn Company Data?

1. Verified Profiles for Precision Engagement

   • Access verified LinkedIn profiles, employee counts, and decision-maker data for renewable energy companies worldwide.
   • AI-driven validation ensures 99% accuracy, reducing inefficiencies and boosting outreach effectiveness.

2. Comprehensive Global Coverage

   • Includes renewable energy businesses from North America, Europe, Asia-Pacific, and other key markets.
   • Gain insights into regional energy trends, innovative technologies, and company expansions in the renewable sector.

3. Continuously Updated Datasets

   • Real-time updates capture changes in organizational structures, employee roles, and firm locations.
   • Stay aligned with market shifts to capitalize on emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access LinkedIn company data for renewable energy professionals and organizations worldwide.
• Firmographic Insights: Gain employee counts, business locations, and operational details to refine targeting.
• Decision-maker Profiles: Connect with executives, project managers, and engineers shaping renewable energy innovations.
• Industry Trends: Leverage actionable data to understand growth areas, company expansions, and adoption of renewable solutions.

Key Features of the Dataset:

1. Comprehensive Company Profiles in Renewable Energy

   • Identify and connect with renewable energy companies specializing in solar, wind, geothermal, and other sustainable solutions.
   • Target professionals driving green initiatives, energy storage technologies, and project development.

2. Advanced Filters for Precision Campaigns

   • Filter companies and professionals by industry focus, geographic location, or operational size.
   • Tailor campaigns to align with specific needs, such as promoting energy technologies or forming strategic partnerships.

3. Regional and Industry-specific Insights

   • Leverage data on renewable energy adoption, project pipelines, and investment trends across key global regions.
   • Refine strategies to align with market priorities and regional demands.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote renewable energy technologies, services, or consulting solutions to businesses and decision-makers in the sector.
   • Use verified contact data for multi-channel outreach, including email, phone, and LinkedIn.

2. Partnership Development and Collaboration

   • Build relationships with renewable energy companies and stakeholders exploring project funding, technology partnerships, or market entry.
   • Foster collaborations that advance green energy adoption and operational efficiencies.

3. Market Research and Competitive Analysis

   • Analyze trends in the renewable energy market to refine product offerings, marketing strategies, and investment plans.
   • Benchmark against competitors to identify growth opportunities and emerging market needs.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers recruiting for roles in renewable energy project management, engineering, and sustainability leadership.
   • Provide workforce optimization platforms or talent development tools tailored to the renewable energy industry.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality LinkedIn company data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.

2. Seamless Integration

   • Integrate verified LinkedIn company data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, enhancing productivity and simplifying workflows.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions...