share of renewable energy in gross final energy consumption in the EU in 2024

Model: DeepSeek V4.1 Flash Checked on:

Share of renewable energy in gross final energy consumption in the EU in 2024: 25.2%

According to the Eurostat dataset "Share of renewable energy in gross final energy consumption by sector"1, the EU (EU27, from 2020) reached 25.24% renewable energy in gross final energy consumption in 2024 — i.e. just over a quarter of final energy came from renewable sources2.

For context, the same source shows how the EU has progressed and how the overall figure breaks down by sector in 2024:

Category 2024 share (%)
Overall (gross final energy consumption) 25.2
Electricity 47.5
Heating & cooling 26.7
Transport 11.2

This is a steady increase from 9.6% in 2004, with notably strong growth since 20203. The long-run trend is shown in the chart generated in the code run 3. (The dataset also contains a 2025 figure of 26.2%, but as 2024 is the latest full year of actual data, the 2024 value of 25.2% is the appropriate answer.)

  1. Eurostat dataset: Share of renewable energy in gross final energy consumption by sector
  2. Dataset: sdg_07_40

    Dataset filters for sdg_07_40

    FilterValue(s)
    geoEU27_2020
    nrg_balREN, REN_TRA, REN_ELC, REN_HEAT_CL
    unitPC
    TIME_PERIOD2024

    Program output

    ['freq', 'nrg_bal', 'unit', 'geo', 'time', 'value']
(4, 6)
  freq      nrg_bal unit        geo  time   value
0    A      REN_TRA   PC  EU27_2020  2024  11.200
1    A      REN_ELC   PC  EU27_2020  2024  47.503
2    A          REN   PC  EU27_2020  2024  25.241
3    A  REN_HEAT_CL   PC  EU27_2020  2024  26.738

    Code

    
import pandas as pd
df = pd.read_csv(DATASET_FILE0)
print(df.columns.tolist())
print(df.shape)
print(df.head(20).to_string())
  3. Dataset: sdg_07_40

    Images

    renewable_share_eu.svg

    Dataset filters for sdg_07_40

    FilterValue(s)
    geoEU27_2020
    nrg_balREN
    unitPC

    Program output

     time  value
 2004  9.605
 2005 10.182
 2006 10.778
 2007 11.749
 2008 12.552
 2009 13.850
 2010 14.405
 2011 14.547
 2012 16.002
 2013 16.659
 2014 17.416
 2015 17.820
 2016 17.978
 2017 18.411
 2018 19.096
 2019 19.887
 2020 22.038
 2021 21.897
 2022 23.003
 2023 24.579
 2024 25.241
 2025 26.200
saved
2024 value: [25.241]

    Code

    
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv(DATASET_FILE0)
df['time'] = df['time'].astype(int)
df = df.sort_values('time')

print(df[['time','value']].to_string(index=False))

fig, ax = plt.subplots(figsize=(8,4.5))
ax.plot(df['time'], df['value'], marker='o', color='#2a9d8f')
ax.axhline(42.5, color='gray', linestyle='--', linewidth=1)
ax.text(df['time'].min(), 42.5, ' EU 2030 target (42.5%)', va='bottom', fontsize=8, color='gray')
ax.set_title('Share of renewable energy in gross final energy consumption, EU27 (2004–2024)')
ax.set_xlabel('Year')
ax.set_ylabel('% of gross final energy consumption')
ax.grid(alpha=0.3)
fig.tight_layout()
fig.savefig('renewable_share_eu.svg')
print("saved")
print("2024 value:", df[df['time']==2024]['value'].values)