This statistic shows the proportion of electricity derived from renewable sources in the United Kingdom (UK) from 2007 to 2018. During this period the share of energy from renewable sources in electricity generation climbed from 4.8 percent to 30.9 percent.

Renewable energy share (RES) used in gross final electricity consumption in the United Kingdom almost doubled over the years. In 2018, **** percent of the gross final energy consumption for electricity was covered by renewable energy. This is up from **** percent in 2014.

Share of renewable energy used in heating and cooling presented a trend of growth in the United Kingdom, despite some oscillation. In 2018, figures reached its peak, at 7.5 percent of the energy in heating and cooling being from renewable sources. This represents an increase of roughly three percent compared to 2014.

This statistic shows the total electricity generated from renewable sources in the United Kingdom from 2012 to 2018 in Terawatt hours (TWh). Since 2012, electricity generated from renewable sources had been steadily increasing. However, electricity generation fell slightly in 2016 from the previous year by *** percent to **** TWh. In 2018, the generation of electricity peaked at *** TWh.

This graph shows the capacity of Feed-in tariff (FIT) scheme accredited hydro power installations in the United Kingdom (UK) from the first quarter of 2010 to the fourth quarter of 2018. The capacity of accredited hydro power installations was highest in the first quarter of 2016 with ****** kilowatts. By the fourth quarter of 2018, the hydro power capacity dropped to *** kW.

This statistic presents the gross capacity from renewable sources in Europe of the electric utility service provider E.ON, in 2018. The gross capacity of renewable energy sources was highest in the United Kingdom, with the capacity amounting to *** gigawatts. This was due to the high capacity of offshore wind energy

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The report provides in depth analysis on global renewable power market and global wind power market with forecasts up to 2030. The report analyzes the power market scenario in Canada (includes conventional thermal, nuclear, large hydro and renewable energy sources) and provides future outlook with forecasts up to 2030. The research details renewable power market outlook in the country (includes wind, small hydro, biopower and solar PV) and provides forecasts up to 2030. The report highlights installed capacity and power generation trends from 2006 to 2030 in Canada wind power market. A detailed coverage of renewable energy policy framework governing the market with specific policies pertaining to wind power is provided in the report. The research also provides company snapshots of some of the major market participants.
The report is built using data and information sourced from proprietary databases, secondary research and in-house analysis by GlobalData’s team of industry experts. Read More

This statistic presents the renewable capacity in the United Kingdom (UK) of the electric utility service provider E.ON, from 2015 to 2018. The capacity of offshore renewable energy was significantly higher than onshore throughout this period. From 2015 to 2017, both onshore and offshore energy capacity remained at *** megawatts and *** megawatts respectively. However, in 2018, the offshore capacity increased significantly to ***** megawatts.

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Among all renewable sources, wind power had the highest installed capacity available in 2019, at some 11,356 megawatt electrical. At that time, solar photovoltaic (PV) ranked second, with 98 megawatt electrical behind wind power. However, between 2016 and 2018, solar PV was the leading renewable source in England, based on installed capacity of sites generating electricity.

Snapshot img { margin: 10px !important; } Below are some of the key findings from the wind services market research report:

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Global wind services industry overview

The adoption of renewable sources of energy is increasing at a significant rate due to the growing levels of GHG emissions resulting from the use of fossil fuels. The growing adoption of renewable sources of energy such as wind turbines can also be attributed to the subsidies provided by governments of several countries. The key countries that are adopting wind energy in offshore locations include China, the US, the UK, and India. These wind turbines require regular maintenance to ensure optimal performance which is leading to an increase in demand for wind services. Thus, the rising number of wind turbine installations will be one of the key factors that will drive the wind services market growth during the forecast period.

The growing number of offshore wind turbines will be one of the key wind services market trends that will impact growth during the forecast period. According to IEA, the offshore wind segment grew by 23% in 2017. Countries such as China, Germany, and the UK are increasingly focusing on the development of offshore wind farms to increase the capacity of grid energy storage. The benefits of offshore wind turbines include high wind speed and limited fluctuations in wind speed. Thus, the growing number of offshore wind turbines will increase the demand for wind services during the forecast period.

Top wind services companies covered in this market research report

The wind services market is moderately fragmented. By offering a complete analysis of the market’s competitive landscape and with information on the products offered by the companies, this wind services industry analysis report will help clients identify and design new growth strategies.

The report offers a complete analysis of various companies including:

GENERAL ELECTRIC
Nordex
Senvion
Siemens Gamesa Renewable Energy
Suzlon Energy
Vestas

Wind services market segmentation based on geographic regions

Americas
APAC
EMEA

With a complete study of the growth opportunities for the companies, APAC will account for the highest wind services market share throughout the forecast period. This region will also register the highest incremental growth in the wind services market during the forecast period.

Wind services market segmentation based on application

Onshore
Offshore

The onshore segment will account for the largest share of the wind services market throughout the forecast period. Additionally, the report also provides an accurate prediction of the contribution of all the products segments to the growth of the wind services market size.

Key highlights of the global wind services market for the forecast years 2018-2022:

CAGR of the market during the forecast period 2018-2022
Detailed information on factors that will accelerate the growth of the wind services market during the next five years
Precise estimation of the global wind services market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the wind services industry across the Americas, APAC, and EMEA
A thorough analysis of the market’s competitive landscape and detailed information on several vendors
Comprehensive details on the factors that will challenge the growth of wind services companies

We can help! Our analysts can customize this market research report to meet your requirements. Get in touch

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This statistic displays the fuel mix of the green energy company Ecotricity in the United Kingdom (UK) as of 2018. Ecotricity was most reliant on offshore wind power, which had a share of ** percent of the fuel mix composition.

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This data set is supplementary material for the paper 'Probabilistic Day-ahead Inertia Forecasting' by Evelyn Heylen, Jethro Browell and Fei Teng. Future releases are subject to change following revisions of this article.

This dataset contains data of the Great Britain power system of 2016 - 2018. More specifically, data are included related to demand (day-ahead forecast and out-turn), generation by different generator types, interconnection flows, day-ahead electricity price, wind and solar generation (day-ahead forecasts and out-turn) and estimated inertial energy from transmission-connected synchronous generator units. The resolution of the data is 30 minutes.

This data set is supplementary material of the paper 'Probabilistic Day-ahead Inertia Forecasting' by Evelyn Heylen, Jethro Browell and Fei Teng.

The dataset contains data of the Great Britain power system for 2016, 2017 and 2018. The resolution of the data is 30 minutes.

[1] "V1" Indexer
[2] "year" Year [3] "month" Month [4] "spidx" Settlement period index
[5] "t_day_week" Day of the week (1 = Monday)
[6] "forecasted_wind_offshore_elexon" Day-ahead offshore wind forecast from elexon (t+D|t) [7] "forecasted_wind_onshore_elexon" Day-ahead onshore wind forecast from elexon (t+D|t) [8] "forecasted_solar_elexon" Day-ahead solar forecast from elexon (t+D|t)

           out_X_Y = Out-turn of generator type X according to source Y

[9] "out_wind_offshore_entso_e" Example: Out-turn of offshore wind generation published on the entso-e transparency platform [10] "out_wind_onshore_entso_e"
[11] "out_solar_entso_e"
[12] "out_biomass_entso_e"
[13] "out_lignite_entso_e"
[14] "out_coal_gas_entso_e"
[15] "out_gas_entso_e"
[16] "out_hard_coal_entso_e"
[17] "out_oil_entso_e"
[18] "out_oil_shale_entso_e"
[19] "out_peat_entso_e"
[20] "out_hydrothermal_entso_e"
[21] "out_hydro_PS_entso_e"
[22] "out_hydro_ror_entso_e"
[23] "out_hydro_reservoir_entso_e"
[24] "out_marine_entso_e"
[25] "out_nuclear_entso_e"
[26] "out_other_entso_e"
[27] "out_other_RES_entso_e"
[28] "out_waste_entso_e"
[29] "out_biomass_elexon"
[30] "out_fossil_gas_elexon"
[31] "out_fossil_hard_coal_elexon"
[32] "out_fossil_oil_elexon"
[33] "out_hydro_pumped_storage_elexon"
[34] "out_hydro_run_of_river_and_poundage_elexon" [35] "out_nuclear_elexon"
[36] "out_other_elexon"
[37] "out_solar_elexon"
[38] "out_wind_offshore_elexon"
[39] "out_wind_onshore_elexon"

[40] "nd_eso" National demand out-turn according to National Grid ESO (NG ESO) website [41] "i014_nd_eso"
[42] "tsd_eso" Transmission system demand out-turn according to NG ESO website [43] "i014_tsd_eso"
[44] "england_wales_demand_eso" England and Wales demand out-turn according to NG ESOwebsite [45] "embedded_wind_generation_eso" Embedded wind generation according to NG ESO website [46] "embedded_wind_capacity_eso" Embedded wind capacity according to NG ESO website [47] "embedded_solar_generation_eso" Embedded solar generation according to NG ESO website [48] "embedded_solar_capacity_eso" Embedded solar capacity according to NG ESO website [49] "non_bm_stor_eso" Non balancing mechanism short term operating reserve according to NG ESO website [50] "pump_storage_pumping_eso" Pumped storage pumping according to NG ESO website [51] "i014_pump_storage_pumping_eso"

           X_flow_Y = flow on interconnector X according to source Y

[52] "french_flow_eso" Example: Flow on GB-France interconnector according to NG ESO website [53] "britned_flow_eso"
[54] "moyle_flow_eso"
[55] "east_west_flow_eso"
[56] "i014_french_flow_eso"
[57] "i014_britned_flow_es...