This statistic presents the share of people who think it is important to create a world fully powered by renewable energy as of 2017, by age group. Some ** percent of respondents aged 55 years and above stated that they think it is important to create a world fully powered by renewable energy.

This statistic presents the share of people who think it is important to create a world fully powered by renewable energy as of 2017, by country. A majority of respondents from China stated that they think it is important to increase the usage of renewable energy.

This statistic presents the share of people who think it is important to create a world fully powered by renewable energy as of 2017, by level of education. That time, some ** percent of respondents who either had a secondary school degree or a lower school diploma think it is important to create a world fully powered by renewable energy.

Understanding the drivers of CO2 emissions changes is useful in supporting future mitigation. This study applies a log-mean divisia index decomposition to assess four drivers of CO2 emissions changes – population, income, energy intensity and carbon intensity – in 138 countries worldwide over the period 2000–2017. At the global level, income and population are the main drivers of increased emissions over time, with contributions of 116% and 60% to global CO2 emissions changes, respectively. Energy intensity is the key mitigation driver, with a contribution of −80%. Although carbon intensity increased CO2 emissions overall over the period 2000–2017 with a contribution of 4%, it has started to reduce emissions in recent years. China, the United States of America, the European Union, India and Russia are the five regions responsible for most changes in global emissions. The five regions together contribute −73% of the energy intensity effect, and China’s income contribution is 83% in relation to the total of 116%. At the national level, in 2017, CO2 emissions returned to below 2000 levels in 62% of Annex I (developed) countries but increased in 88% of non-Annex I (mostly developing) countries. Among the 35 countries realizing CO2 emissions reductions, 24 were driven primarily by energy intensity, six by carbon intensity, three by economic recession, and one by population decrease. Among the 103 countries with increasing CO2 emissions, 63 were driven primarily by income, 26 by population, nine by carbon intensity increase, and five by energy intensity increase. Our analysis emphasizes the necessity of considering differences in national development stages when formulating climate change mitigation policies. Key policy insightsOver the period 2000–2017, at the global and national levels, CO2 emissions increases were driven mainly by economic development and population growth, and mitigation was driven mainly by energy intensity improvement.Improving energy intensity and carbon intensity is the key to mitigating CO2 emissions. Carbon intensity is expected to play an increasing role in the future.In over one-third of Annex I countries, CO2 emissions increased from 2000 to 2017. To meet the Paris Agreement goals, Annex I countries will need to enhance mitigation ambition by further tapping the mitigation potentials of energy and carbon intensity.In accordance with national circumstances, development needs and international support, non-Annex I countries should achieve low-carbon economic and energy transitions and peak CO2 emissions as early as possible. Over the period 2000–2017, at the global and national levels, CO2 emissions increases were driven mainly by economic development and population growth, and mitigation was driven mainly by energy intensity improvement. Improving energy intensity and carbon intensity is the key to mitigating CO2 emissions. Carbon intensity is expected to play an increasing role in the future. In over one-third of Annex I countries, CO2 emissions increased from 2000 to 2017. To meet the Paris Agreement goals, Annex I countries will need to enhance mitigation ambition by further tapping the mitigation potentials of energy and carbon intensity. In accordance with national circumstances, development needs and international support, non-Annex I countries should achieve low-carbon economic and energy transitions and peak CO2 emissions as early as possible.

Key information about Venezuela Natural Gas: Consumption

• Venezuela Natural Gas: Consumption was reported at 2.872 Cub ft/Day bn in Dec 2023
• This records an increase from the previous number of 2.811 Cub ft/Day bn for Dec 2022
• Venezuela Natural Gas: Consumption data is updated yearly, averaging 2.475 Cub ft/Day bn from Dec 1965 to 2023, with 59 observations
• The data reached an all-time high of 3.735 Cub ft/Day bn in 2017 and a record low of 0.727 Cub ft/Day bn in 1965
• Venezuela Natural Gas: Consumption data remains active status in CEIC and is reported by BP PLC
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.BP.NS: Natural Gas: Consumption

Key information about Portugal Natural Gas: Consumption

• Portugal Natural Gas: Consumption was reported at 0.433 Cub ft/Day bn in Dec 2023
• This records a decrease from the previous number of 0.541 Cub ft/Day bn for Dec 2022
• Portugal Natural Gas: Consumption data is updated yearly, averaging 0.433 Cub ft/Day bn from Dec 1997 to 2023, with 27 observations
• The data reached an all-time high of 0.613 Cub ft/Day bn in 2017 and a record low of 0.010 Cub ft/Day bn in 1997
• Portugal Natural Gas: Consumption data remains active status in CEIC and is reported by BP PLC
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.BP.NS: Natural Gas: Consumption

The Hill of Towie wind farm open dataset provides over 8 years of comprehensive operational data from a commercial wind farm in Scotland suitable for various wind energy research topics. This dataset includes:

• Hill_of_Towie_turbine_metadata.csv: Metadata for the 21 Siemens SWT-2.3-VS-82 turbines including coordinates, rated power, rotor diameter and hub height.
• 2016.zip, 2017.zip, … , 2024.zip: 10-minute statistics and alarm log data from the Hill of Towie SCADA system zipped by year from January 2016 to August 2024 (inclusive). The data was downloaded from the Siemens wind farm SCADA Backup facility and converted to .csv format without modification except dropping certain columns to ensure anonymity for SCADA system users. All timestamps are in UTC and 10-minute timestamps represent the end of the 10-minute period.
• Files ending in “_description.csv” provide descriptions of SCADA Backup file types, key 10-minute columns and key alarm codes.
• Hill_of_Towie_AeroUp_install_dates.csv: provides information on AeroUp installation timing for each turbine.
• Hill_of_Towie_ShutdownDuration.zip: contains 10-minute statistics calculated from a combination of the SCADA data and RES operator logs. This data quantifies downtime in seconds for each turbine for each 10 minutes (0 means no downtime, 600 means 10 minutes of downtime).

The dataset has been released by RES on behalf of TRIG under a CC-BY-4.0 open data license and is provided as is. RES is the world’s largest independent renewable energy company and has been an industry innovator for over 40 years. RES’ retrofit upgrade products such as AeroUp and TuneUp have been developed using expertise from deep knowledge of the industry. TRIG, the owner of Hill of Towie, was one of the first investment companies investing in renewable energy infrastructure projects listed on the London Stock Exchange and is now a member of the FTSE-250 index.

The Hill of Towie open dataset provides a unique opportunity to study energy yield increase following wind farm upgrades. Upgrades contained in the dataset include:

• T13 AeroUp installation completed 29 September 2021
• AeroUp roll out to all other turbines from 14 July 2022 to 26 May 2023. Further details of install dates are provided in Hill_of_Towie_AeroUp_install_dates.csv.
• TuneUp deployed to 8 of 9 test turbines 14 March 2024 (T02, T03, T06, T08, T09, T13, T16, T20) and the 9th test turbine (T21) on 2 May 2024

The Hill of Towie open dataset is applicable to many areas of research including:

• validation of pre-construction energy yield models (including wind flow and wake models)
• refinement of post-construction energy yield analysis techniques
• wind farm performance analysis, alarm prediction and forecasting research

Example usage of the dataset is shown in this repository: https://github.com/resgroup/hill-of-towie-open-source-analysis

Acknowledgement

Thank you to TRIG for allowing us to make this dataset publicly available.

Thank you to the creators of the Kelmarsh and SMARTEOLE open datasets, which provided the inspiration for this dataset.

Key information about Pakistan Oil Consumption

• Pakistan Oil Consumption was reported at 393.519 Barrel/Day th in Dec 2023
• This records a decrease from the previous number of 489.268 Barrel/Day th for Dec 2022
• Pakistan Oil Consumption data is updated yearly, averaging 287.861 Barrel/Day th from Dec 1965 to 2023, with 59 observations
• The data reached an all-time high of 588.616 Barrel/Day th in 2017 and a record low of 71.204 Barrel/Day th in 1972
• Pakistan Oil Consumption data remains active status in CEIC and is reported by BP PLC
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.BP.OIL: Oil: Consumption

Key information about Iraq Oil Consumption

• Iraq Oil Consumption was reported at 772.000 Barrel/Day th in Dec 2022
• This records an increase from the previous number of 700.000 Barrel/Day th for Dec 2021
• Iraq Oil Consumption data is updated yearly, averaging 397.000 Barrel/Day th from Dec 1965 to 2022, with 58 observations
• The data reached an all-time high of 830.000 Barrel/Day th in 2017 and a record low of 30.000 Barrel/Day th in 1965
• Iraq Oil Consumption data remains active status in CEIC and is reported by BP PLC
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.BP.OIL: Oil: Consumption