Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only hydropower and renewable energy consumption are expected to increase between 2045 and 2050 and reach 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, it was Qatar, Singapore, the United Arab Emirates, and Iceland to have the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable energy consumption has increased to reach over 90 exajoules in 2023. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.

Global anthropogenic CO2 emissions for 2007 based on EDGARv4.3, fuel type and category specific emissions provided by Greet Janssens-Maenhout (EU-JRC), BP statistics 2016 (http://www.bp.com/content/dam/bp/excel/energy-economics/statistical-review-2016/bp-statistical-review-of-world-energy-2016-workbook.xlsx), temporal variations based on MACC-TNO (https://gmes-atmosphere.eu/documents/deliverables/d-emis/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011).

China's daily biofuel production reached 78 thousand barrels of oil equivalent in 2023, an increase by eight thousand barrels of oil equivalent per day in comparison to the year prior. Between 2002 and 2023, production of biofuels in the East Asian country experienced a growth of 75 thousand barrels of oil equivalent per day. As of 2022, China's production corresponded to 3.5 percent of the global biofuel production.

China is the largest consumer of primary energy in the world, having used some 170.7 exajoules in 2023. This is a lot more than what the United States consumed, which comes in second place. The majority of primary energy fuels worldwide are still derived from fossil fuels, such as oil and coal. China's energy mix China’s primary energy mix has shifted from a dominant use of coal to an increase in natural gas and renewable sources. Since 2013, the renewables share in total energy consumption has grown by around eight percentage points. Overall, global primary energy consumption has increased over the last decade, and it is expected to experience the largest growth in emerging economies like the BRIC countries - Brazil, Russia, India, and China. What is primary energy? Primary energy is the energy inherent in natural resources such as crude oil, coal, and wind before further transformation. For example, crude oil can be refined into secondary fuels, such as gasoline or diesel, while wind is harnessed for electricity - itself a secondary energy source. A country’s total primary energy supply is a measure of the country’s primary energy sources. Meanwhile, end use energy is the energy directly consumed by the user and includes primary fuels such as natural gas, as well as secondary sources, like electricity and gasoline.

Recommended citation

Gütschow, J.; Günther, A.; Jeffery, L.; Gieseke, R. (2021): The PRIMAP-hist national historical emissions time series v2.2 (1850-2018). zenodo. doi:10.5281/zenodo.4479172.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Content

• Use of the dataset and full description
• Abstract
• Support
• Sources
• Files included in the dataset
• Notes
• Data format description (columns)
• Changelog
• References

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

Support

If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there.

If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.

Abstract

The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1850 to 2018, and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO₂, CH₄, and N₂O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture is available. Due to data availability and methodological issues, version 2.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF).

The PRIMAP-hist v2.2 dataset is an updated version of

Gütschow, J.; Jeffery, L.; Gieseke, R.; Günther, A. (2019): The PRIMAP-hist national historical emissions time series v2.1 (1850-2017). GFZ Data Services. doi:10.5880/pik.2019.018.

The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.

Sources

• Global CO₂ emissions from cement production v4 (Andrew 2019) data, paper Andrew (2019a), Andrew (2019b)
• BP Statistical Review of World Energy website: British Petroleum (2020)
• CDIAC data: Boden et al. (2017)
• EDGAR versions 4.2 and 4.2 FT2010: EDGAR v4.2, EDGAR v4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
• EDGAR version 5.0: data, paper: JRC and PBL (2017), Crippa et al. (2019)
• EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
• FAOSTAT database data: Food and Agriculture Organization of the United Nations (2020)
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries website, data: UNFCCC (2020b), Gieseke and Gütschow (2020)
• UNFCCC Biennial Update Reports website: UNFCCC (2020a)
• UNFCCC Common Reporting Format (CRF) website, paper, data: Gütschow et al. (2020b) UNFCCC (2019a) (processed as described in Jeffery et al. (2018a). PRIMAP-hist contains updated CRF data for Hungary, compared to the published PRIMAP-crf dataset)

Files included in the dataset

• PRIMAP-hist_v2.2_19-Jan-2021.csv: With numerical extrapolation of all time series to 2018.
• PRIMAP-hist_no_extrapolation_v2.2_19-Jan-2021.csv: Without numerical extrapolation of missing values and not including the country groups mentioned in section country.
• PRIMAP-hist_v2.2_data-description.pdf: Data description including changelog.
• PRIMAP-hist_v2.2_updated_figures.pdf: Updated figures from the PRIMAP-hist paper published in ESSD.

Notes

• Emissions from international aviation and shipping are not included in the dataset.
• Emissions from Land Use, Land-Use Change, and Forestry (LULUCF) are not included in this dataset.

Data format description (columns)

“scenario”

• HISTCR: In this scenario country-reported data (CRF, BUR, UNFCCC) is prioritized over third-party data (CDIAC, FAO, Andrew, EDGAR, BP).
• HISTTP: In this scenario third-party data (CDIAC, FAO, Andrew, EDGAR, BP) is prioritized over country-reported data (CRF, BUR, UNFCCC)

“country”

ISO 3166 three-letter country codes or custom codes for groups:

Code    Region description
----    -------
EARTH   Aggregated emissions for all countries.
ANNEXI   Annex I Parties to the Convention
NONANNEXI Non-Annex I Parties to the Convention
AOSIS   Alliance of Small Island States
BASIC   BASIC countries (Brazil, South Africa, India and China)
EU28    European Union
LDC    Least Developed Countries
UMBRELLA  Umbrella Group

Table: Additional “country” codes.

“category”

IPCC (Intergovernmental Panel on Climate Change) 2006 categories for emissions. Some aggregate sectors have been added to the hierarchy. These begin with the prefix IPCM instead of IPC.

-----------------------------------------------------------------------
Category code Description




IPCM0EL    National Total excluding LULUCF
IPC1     Energy
IPC1A     Fuel Combustion Activities
IPC1B     Fugitive Emissions from Fuels
IPC1B1    Solid Fuels
IPC1B2    Oil and Natural Gas
IPC1B3    Other Emissions from Energy Production
IPC1C     Carbon Dioxide Transport and Storage
       (currently no data available)
IPC2     Industrial Processes and Product Use (IPPU)
IPC2A     Mineral Industry
IPC2B     Chemical Industry
IPC2C     Metal Industry
IPC2D     Non-Energy Products from Fuels and Solvent Use
IPC2E     Electronics Industry
       (no data available as the category is only used for
       fluorinated gases which are only resolved at the level
       of category IPC2)
IPC2F     Product uses as Substitutes for Ozone Depleting Substances
       (no data available as the category is only used for
       fluorinated gases which are only resolved at the level
       of category IPC2)
IPC2G     Other Product Manufacture and Use
IPC2H     Other
IPCMAG    Agriculture, sum of IPC3A and IPCMAGELV
IPC3A    

Recommended citation

Gütschow, J.; Pflüger, M. (2023): The PRIMAP-hist national historical emissions time series v2.4.2 (1750-2021). zenodo. doi:10.5281/zenodo.7727475.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Content

• Use of the dataset and full description
• Abstract
• Support
• Sources
• Files included in the dataset
• Notes
• Data format description (columns)
• References
• Changelog

Abstract

The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1750 to 2021, and almost all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO₂, CH₄, and N₂O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. The "country reported data priority" (CR) scenario of the PRIMAP-hist datset prioritizes data that individual countries report to the UNFCCC. For developed countries, AnnexI in terms of the UNFCCC, this is the data submitted anually in the "common reporting format" (CRF). For developing countries, non-AnnexI in terms of the UNFCCC, this is the data available through the UNFCCC DI interface (di.unfccc.int) with additional country submissions read from pdf and where available xls(x) or csv files. For a list of these submissions please see below. For South Korea the 2021 official GHG inventory has not yet been submitted to the UNFCCC but is included in PRIMAP-hist. PRIMAP-hist also includes official data for Taiwan which is not recognized as a party to the UNFCCC.

Gaps in the country reported data are filled using third party data such as CDIAC, BP (fossil CO₂), Andrew cement emissions data (cement), FAOSTAT (agriculture), and EDGAR v7.0 (all sectors). Lower priority data are harmonized to higher priority data in the gap-filling process.

For the third party priority time series gaps in the third party data are filled from country reported data sources.

Data for earlier years which are not available in the above mentioned sources are sourced from EDGAR-HYDE, CEDS, and RCP (N₂O only) historical emissions.

The v2.4 release of PRIMAP-hist reduced the time-lag from 2 to 1 years. Thus we include data for 2021 while the 2.3.1 version included data for 2019 only. For energy CO$_2$ growth rates from the BP statistical review of world energy are used to extend the country reported (CR) or CDIAC (TP) data to 2021. For CO$_2$ from cement production Andrew cement data are used. For other gases and sectors, EDGAR 7.0 is used since PRIMAP-hist v2.4.1 (v2,4 had to rely on numerical methods ).

Version 2.4.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF) in the main file. LULUCF data are included in the file with increased number of significant digits and have to be used with care as they are constructed from different sources using different methodologies and are not harmonized.

The PRIMAP-hist v2.4.2 dataset is an updated version of

Gütschow, J.; Pflüger, M. (2023): The PRIMAP-hist national historical emissions time series v2.4.1 (1750-2021). zenodo. doi:10.5281/zenodo.7585420

The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Please notify us (mail@johannes-guetschow.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub. The data are published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the PRIMAP2 documentation.

We have also, for the first, time included files with more than three significant digits. These files are mainly aimed at people doing policy analysis using the country reported data scenario (HISTCR). Using the high precision data they can avoid questions on discrepancies with the reported data. The uncertainties of emissions data do not justify the additional significant digits and they might give a false sense of accuracy, so please use this version of the dataset with extra care.

Support

If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there. Please use the tag “v2.4.2” in any issue you create regarding this dataset.

If you need support in using the dataset or have any other questions regarding the dataset, please contact mail@johannes-guetschow.de.

Sources

• Global CO$_2$ emissions from cement production v220919 (Andrew 2022)** data, paper: Andrew
  (2022), Andrew (2019b)
• BP Statistical Review of World Energy website: British Petroleum (2022)
• CDIAC data: Boden et al. (2017): Gilfillan et al. (2020), paper Gilfillan and Marland (2021)
• EDGAR versions 4.2 and 4.2 FT2010: EDGAR v4.2, EDGAR v4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
• EDGAR version 7.0: data, website, Reports: JRC (2022), JRC (2021)
• EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
• FAOSTAT database data: Food and Agriculture Organization of the United Nations (2023)
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries website, slightly updated version of data: UNFCCC (2022c), Pflüger and Gütschow (2022)
• UNFCCC Biennial Update Reports website: UNFCCC (2022b)
• UNFCCC Common Reporting Format (CRF) website, paper, data (23-01-23): UNFCCC (2023a) (processed as described in Jeffery et al. (2018a))
• Official country repositories (non-UNFCCC)
  • Taiwan / Republic of China: website, data:

This is an updated version of Gütschow et al. (2018, http://doi.org/10.5880/pik.2018.003). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its previous updates. For a detailed description of the changes please consult the CHANGELOG included in the data description document. The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2016, and all UNFCCC (United Nations Framework Convention on Climate Change) member states, as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Agriculture is available. Version 2.0 of the PRIMAP-hist dataset does not include emissions from Land use, land use change and forestry (LULUCF). List of datasets included in this data publication:(1) PRIMAP-hist_v2.0_11-Dec-2018.csv: With numerical extrapolation of all time series to 2016. (only in .zip folder)(2) PRIMAP-hist_no_extrapolation_v2.0_11-Dec-2018.csv: Without numerical extrapolation of missing values. (only in .zip folder)(3) PRIMAP-hist_v2.0_data-format-description: including CHANGELOG(4) PRIMAP-hist_v2.0_updated_figures: updated figures of those published in Gütschow et al. (2016)(all files are also included in the .zip folder) When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources. SOURCES:- Global CO2 emissions from cement production v2: Andrew (2018)- BP Statistical Review of World Energy: BP (2018)- CDIAC: Boden et al. (2017)- EDGAR version 4.3.2: JRC and PBL (2017), Janssens-Maenhout et al. (2017)- EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)- EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001)- FAOSTAT database: Food and Agriculture Organization of the United Nations (2018)- RCP historical data: Meinshausen et al. (2011)- UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2018)- UNFCCC Biennal Update Reports: UNFCCC (2018)- UNFCCC Common Reporting Format (CRF): UNFCCC (2017), UNFCCC (2018), Jeffery et al. (2018) Full references are available in the data description document. Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011). It is supplemented with growth rates from regionally resolved sources and numerical extrapolations.

According to Cognitive Market Research, the global Well Testing Service market size will be USD 7859.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 3143.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 2357.88 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1807.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 392.98 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 157.19 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.3% from 2024 to 2031.
The Real Time Well Testing held the highest Well Testing Service market revenue share in 2024.

Market Dynamics of Well Testing Service Market

Key Drivers for Well Testing Service Market

Rising Global Oil and Gas Demand to Increase the Demand Globally

Generally speaking, unconventional oil and gas resources are those that don't show up in conventional formations and call for specific extraction or production methods. Shale gas, tight gas, coalbed methane (CBM), tight oil, shale oil, and natural gas hydrates are examples of unconventional oil and gas deposits. Chemically speaking, these resources are identical to traditional oil and gas resources. The differences arise from their features and traits concerning the type of rock used as reservoirs, the source of the oil and gas, the state of occurrence, the depth of the reservoirs, or the peculiarities of their reservoirs. The world's remaining conventional resources are still plentiful and produce enough to meet present demands. Still, as oil prices rise, unconventional oil and gas resources are progressively growing in value and drawing more attention. Since decades of oil and natural gas production have led to the widespread usage of conventional resources, unconventional oil and gas resources are being used more and more.

An Increase in Oilfield Discoveries to Propel Market Growth

The companies involved in the oil and gas sector are concentrating on finding discoveries because some of the current fields may make it difficult to produce hydrocarbons economically and may need to be plugged and abandoned. Both onshore and offshore, large oil and gas corporations have been making significant discoveries. By the end of 2019, there were still 1,733.9 billion barrels of known oil reserves in the world, according to the BP Statistical Review of 2020. Well-testing services should become more in demand as a result of these reserves' potential for well drilling.

Restraint Factor for the Well Testing Service Market

Prices for Natural Gas and Oil are Volatile, and Oil and Gas Service Companies Invest Cash to Limit the Sales

Oil product pricing is determined by commodities. Therefore, changes in the price of oil and natural gas can affect drilling and exploration efforts, which in turn can impede the market's expansion for well-testing services. The oil and gas businesses' cash flow and their capacity to finance research and development are significantly influenced by the present energy prices. The legislative framework governing the oil and gas sector, as well as the investment decisions made by oil and gas corporations to develop their deposits of natural gas and oil, determine how productive the oil and gas sector may be. The quantity and quality of newly drilled and completed wells, along with the production rate and the resulting output, all have an impact on the capacity to produce oil and natural gas.

Impact of Covid-19 on the Well Testing Service Market

The global oil and gas industry is seriously threatened by the spread of Covid-19. Based on data commissioned by The Guardian, it is anticipated that the coronavirus-induced unprecedented limitations on travel, work, and industry will reduce global energy system production by billions of barrels of oil, trillions o...

Die vorliegende Statistik zeigt den Erdgasverbrauch der USA in den Jahren 1965 bis 2014 in Millionen Tonnen Öläquivalent. Der Erdgasverbrauch in den USA im Jahr 1998 belief sich auf rund 575,3 Millionen Tonnen Öläquivalent.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die Statistik zeigt die Raffineriekapazität für Erdöl in Thailand in den Jahren 1965 bis 2022. Im Jahr 2022 beliefen sich die Raffineriekapazitäten in Thailand auf durchschnittlich rund 1,24 Millionen Barrel Öl pro Tag.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien. Laut Quelle sind die Kapazitäten für die atmosphärische Destillation auf der Grundlage eines Kalendertags angegeben.

According to Cognitive Market Research, the global Recycled Polyester Staple Fiber market size is USD 7581.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.20% from 2024 to 2031. North America held the major market share for more than 40% of the global revenue with a market size of USD 3032.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2024 to 2031. Europe accounted for a market share of over 30% of the global revenue with a market size of USD 2274.48 million. Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1743.77 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031. Latin America had a market share for more than 5% of the global revenue with a market size of USD 379.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.6% from 2024 to 2031. Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 151.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.9% from 2024 to 2031. Hollow held the highest Recycled Polyester Staple Fiber market revenue share in 2024. Market Dynamics of Recycled Polyester Staple Fiber Market Key Drivers for Recycled Polyester Staple Fiber Market Rising Production in the Automotive Industry Polyester staple fiber, a type of textile material, is widely utilized in the automotive industry for making various components like automobile carpets, seating fabrics, side panels, roof panels, floor panels, door panels, safety belts, tires, airbags, air filters, fuel filters, insulation materials, and other parts. According to the International Trade Administration (ITA), China is the biggest vehicle market globally, and the Chinese government anticipates 35 million automobiles will be produced by 2032. The OICA reported a rise in passenger car production in Africa from 776,967 in 2018 to 787,287 in 2021, representing a 1.3% increase. OICA reports a 6.2% rise in the production of light commercial vehicles in Canada, from 1,348,932 in 2022 to 1,431,904 in 2023. Rising levels of Building and Construction Operations Polyester staple fibers combined with asphalt cement are recognized for enhancing shear, tensile strength, and temperature stability in the resulting concrete. Builders are placing a greater emphasis on strengthening their buildings and constructions in order to meet the strict regulations implemented by various countries, resulting in a gradual rise in the demand for polyester staple fibers in the construction sector. As per the US Census Bureau, construction reached a seasonally adjusted annual rate of 1,366,697 in February 2021, showing a 6.0 percent increase from the rate of 1,288,951 in February 2019. According to the International Trade Administration (ITA), the Chinese construction sector is expected to experience a 5% annual real growth rate from 2022 to 2024 Restraint Factor for the Recycled Polyester Staple Fiber Market Volatility in Crude Oil Prices The common raw materials for making polyester staple fiber are the products derived from crude oil, such as Purified Terephthalic Acid (PTA) and Monoethylene glycol (MEG). Therefore, the fluctuation in crude oil prices also affects the cost of raw materials for polyester staple fiber. Based on data from the BP Statistical Review of World Energy, there has been a variation in crude oil prices over the past few years. For instnce, the price dropped from $98.95/bbl in 2019 to $52.39/bbl in 2020, rose from $43.73/bbl in 2021 to $71.31/bbl in 2022, and then fell to $64.21/bbl in 2023. Due to the unpredictability of crude oil costs, the price of polyester staple fiber goes up as well. Impact of Covid-19 on the Recycled Polyester Staple Fiber Market The Covid-19 pandemic had a significant impact on the market for Recycled Polyester Staple Fiber. The global pandemic caused interruptions in supply chains around the world, resulting in changes in the availability of raw materials and manufacturing processes. Lockdowns and restrictions implemented to control the virus's spread have had an impact on both production operations and consumer demand, leading to consequences for the textile industry as a whole, including the recycled polyester staple fiber market. Nonetheless, with sustainability remaining a fundamental concern post-pandemic, it is anticipated that the market...

Die vorliegende Statistik zeigt die Erdgasproduktion von Australien in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Australien auf rund 18,7 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion der Ukraine in Öläquivalent in den Jahren 1985 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion der Ukraine auf rund 22,9 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Entwicklung des Verbrauchs von Erdöl in Italien in den Jahren 1970 bis 2022 in Millionen Tonnen. Der Verbrauch bezieht sich laut Quelle auf die Inlandsnachfrage, Tanklager für den internationalen Luft- und Schiffsverkehr, Raffineriebrennstoffe und Verluste. Ebenfalls eingeschlossen ist der Verbrauch von Ethanol und Biodiesel. Der Verbrauch von Erdöl in Italien belief sich im Jahr 2022 auf rund 57 Millionen Tonnen.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Raffineriekapazität für Erdöl in der Schweiz in den Jahren 1980 bis 2016. Im Jahr 2016 beliefen sich die Raffineriekapazitäten in der Schweiz auf durchschnittlich rund 68.000 Barrel Öl pro Tag.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien. Laut Quelle sind die Kapazitäten für die atmosphärische Destillation auf der Grundlage eines Kalendertags angegeben.

Die vorliegende Statistik zeigt die Erdgasproduktion von Saudi-Arabien in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Saudi-Arabien auf rund 30,2 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion von den Niederlanden in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von den Niederlanden auf rund 54,9 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion von Brunei in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Brunei auf rund 8 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas. Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion von Russland in Öläquivalent in den Jahren 1985 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Russland auf rund 531 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.

Die vorliegende Statistik zeigt die Erdgasproduktion von Mexiko in Öläquivalent in den Jahren 1970 bis 2014. Im Jahr 1990 belief sich die Erdgasproduktion von Mexiko auf rund 24,4 Millionen Tonnen Öläquivalent. Nicht berücksichtigt wurden Fackelgas und Recyclinggas.Der BP Statistical Review of World Energy erschien erstmalig 1951. Er enthält Zahlen, Daten und Fakten über die weltweite Produktion und den Verbrauch von Öl, Gas, Kohle, Kern- und Wasserkraft und erneuerbaren Energien.