GB Wholesale Market Summary January 2021

Published February 2021 1. January 2021 saw the monthly average power price soar to a decade-high of £71.2/MWh. The E x e c u t i v e £17.1/MWh (or 32%) increase from December 2020 and £36.4/MWh (or 104%) increase from January 2020 was the result of a combination of higher fuel prices, carbon prices and demand. See slides 5, 6, and 7. S u m m a r y 2. Due to colder temperatures, low renewable output levels and limited generator availability, January saw several periods of tight system margins. This resulted in National Grid ESO issuing both Capacity Market Notices (CMN) and Electricity Margin Notices (EMN) and turning to higher marginal cost generators. Consequently, these periods saw wholesale prices in excess of £500/MWh. See slide 5. 3. Colder temperatures caused monthly transmission power demand in January to increase by 1.0 TWh (or 4%) relative to December 2020, while the share of low carbon generation fell 8 p.p. to 51% of total generation in January. See slides 10 and 11. 4. Thermal generation in January increased by 2.3 TWh relative to December to meet the increase in demand and meet the shortfall from lower renewables output. As a result, carbon emissions rose

by 1.2 MtCO2e (or 26%) compared to December. See slides 11 and 14. 5. Wind assets saw an increase in their profitability in January as the significant increase in wind capture prices (£15.1/MWh or 31% relative to December) outweighed the 5 p.p. decrease in load factors (to 37%). See slides 20 and 22.

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Source: Aurora Energy Research 3 Agenda

I. System performance

II. Company performance (available to subscribers only)

III. Plant performance

4 1 System performance Half-hourly APX spot price for January

1 APX spot price Monthly average price in January 2021: £/MWh £71.16/MWh 1,100

1,000

900

800

700

600

500

400

300

200

100

0 04-Jan 11-Jan 18-Jan 25-Jan 01-Feb

1) Half-hourly APX is the volume-weighted reference price over that half-hour interval, as provided by APX Power UK

Sources: Aurora Energy Research, Thomson Reuters 5 1 System performance Historic monthly average APX spot price

Average APX spot price1, £/MWh

75

70

65

60

55 +104% 50

45

40

35

30

25

20 Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- 10 11 12 13 14 15 16 17 18 19 20 21

Average monthly spot price Annual average spot price 1) Average monthly APX is the average over the month of the volume-weighted reference prices for each half-hour interval.

Sources: Aurora Energy Research, Thomson Reuters 6 1 System performance Historic fuel prices Gas, and Carbon daily prices

Gas/Coal price Carbon price £/MWh £/Tonne

30 54

25 45

20 36

15 27

10 18

5 9

0 0 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21 Feb-21

Gas Coal CO2

Sources: Aurora Energy Research, Thomson Reuters 7 1 System performance Half-hourly spot prices against half-hourly system margins for January

APX spot price1, £/MWh

1,100

1,000

900

800

700

600

500

400

300

200

100

0 10,000 20,000 30,000

Margins2, MW

1) Half-hourly APX is the volume-weighted reference price over that half-hour interval, as provided by APX Power UK. 2) Margins are calculated as the difference between MEL and Demand for each half-hour period. Demand data presented here is Initial Transmission System Demand Out-Turn, and does not include embedded demand. MEL is calculated as the sum of all transmission BM units reporting MEL values in each half-hour. Where a BMU gives multiple values in a half-hour, only the least is taken. Sources: Elexon, National Grid, Thomson Reuters, Aurora Energy Research 8 1 System performance Daily January max and min demand Relative to historic January max and min demand since 20101

Demand2, GW

60 55 50

45 40 35 30 25 20 15 10 5 0 F Sa Su M Tu W Th F Sa Su M Tu W Th F Sa Su M Tu W Th F Sa Su M Tu W Th F Sa Su

Daily range Historic maximum/minimum 1) Data from previous years is matched to the nearest weekday within the current month, to maintain the weekly demand pattern. 2) Demand data presented here is Initial Transmission System Demand Out-Turn, and does not include embedded demand.

Sources: National Grid, Aurora Energy Research 9 1 System performance Monthly historical demand on the transmission system

Total demand1, TWh

34

32

30

28 +2% 26

24

22

20

18

16 Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- Jan- 10 11 12 13 14 15 16 17 18 19 20 21

Total monthly demand Annual average demand 1) Demand data presented here is Initial Transmission System Demand Out-Turn, and includes station transformer load, pumped storage demand and interconnector demand, but does not include embedded demand.

Sources: National Grid, Aurora Energy Research 10 1 System performance Monthly fuel mix breakdown

Output1 TWh 0.3 24.8 26 1.2 1% 24 1.9 5% 22 2.3 8% 20 2.4 9% 18 3.5 10% 16 14% 14 4.5 12 100% 18% 10 8.7 8 6 4 35% 2 0 CCGT Nuclear Offshore Onshore Wind Other fossil2 Other Coal Solar Total Wind renewables3 Load factor, % 43 63 48 26 35 50 31 3

1) Includes outputs from generators registered as BM Units as well as embedded wind and solar PV assets. All numbers are rounded to 0.1 TWh which means that subtotals may not sum to total value. 2) Other fossil includes oil, CHP-CCGT and OCGT. 3) Other renewables includes and hydro. Sources: Elexon, Sheffield Solar, National Grid, Aurora Energy Research 11 1 System performance Historical fuel mix breakdown

Output1 % of total

100% 1% 7% 8% 6% 6% 5% 11% 10% 90% 7% 17% 14% 8% 6% 9% 8% 5% 9% 80% 12% 18% 8% 10% 18% 5% 8% 36% 33% 16% 70% 16% 9% 9% 8% 17% 60% 28% 9% 37% 7% 50% 46% 46% 43% 36% 39% 40% 38% 34% 35% 36% 23% 21% 30% 16% 6% 6% 20% 7% 5%

22% 21% 22% 22% 10% 18% 20% 21% 19% 20% 17% 20% 18%

0% Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan 10 11 12 13 14 15 16 17 18 19 20 21

Nuclear Coal CCGT Other fossil2 Other renewables3 Onshore Wind Offshore Wind Solar 1) Includes outputs from generators registered as BM Units as well as embedded wind and solar PV. 2) Other fossil includes oil, CHP-CCGT and OCGT. 3) Other renewables includes biomass and hydro.

Sources: Elexon, Sheffield Solar, National Grid, Aurora Energy Research 12 1 System performance Monthly interconnector flow duration curve Flow in each half-hour for GB interconnectors

Flow1, MW

2,500

2,000

1,500

1,000

500

0

-500

-1,000

-1,500

-2,000

-2,500

Time Half-hours I/C France I/C Netherlands I/C N. Ireland I/C Rep. Ireland I/C Belgium 1) Positive flow is imports into GB, negative flow is exports.

Sources: Elexon, National Grid, Aurora Energy Research 13 1 System performance Monthly emissions by technology

Emissions1 Carbon intensity

MtCO2e gCO2e/kWh 7 280 +23%

6 5.8 240

5 4.8 4.6 200

3.9 4 3.8 3.8 3.7 160 3.5 3.6 3.4

3 2.9 120 2.4 2.1 2 80

1 40

0 0 Jan- 20 Feb- 20 Mar- 20 Apr- 20 May- 20 Jun- 20 Jul- 20 Aug- 20 Sep- 20 Oct- 20 Nov- 20 Dec- 20 Jan- 21

Biomass Other fossil2 CCGT Coal System carbon intensity 1) Please refer to Appendix for details of methodology employed to calculate emission amounts. Includes all Balancing Mechanism plants. 2) Other fossil includes oil, OCGT and gas CHP-CCGT.

Sources: Elexon, Ofgem, Aurora Energy Research 14 Agenda

I. System performance

II. Company performance (available to subscribers only)

III. Plant performance

15 Agenda

I. System performance

II. Company performance (available to subscribers only)

III. Plant performance

16 3 Plant Performance Plant utilisation – load factors by plant

Load factor1 Column width % reflects capacity

100

90

80

70

60

50

40 Ø 40

30

20

10

0

-10 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 Capacity, GW Biomass Coal Hydro Nuclear Offshore Wind Onshore Wind Solar CCGT Gas CHP-CCGT Interconnector OCGT Oil Pumped Storage 1) Represents 60 plants with highest capacity according to the Balancing Mechanism (BM) database, as well as aggregated data for wind and solar. Capacity of each plant represents the sum of capacities of all its generators that have been active at least once in the last three months. Please refer to Appendix for a detailed description of the data used and categories presented Sources: Aurora Energy Research, Elexon, BEIS 17 3 Plant Performance CCGT plant utilisation – by plant

Full load hours1 Column width % of total for the period reflects capacity

100 91.4

90 82.0

80 75.9

70

64.9

64.7

58.9

58.9

57.4

57.3 56.3

60 56.9 53.5

50

45.7

44.9 43.9

40

35.4

35.2

35.1 30.0

30 26.5

20

12.8

12.3

11.7

11.3 11.0 0.0

10 0.0

2.7

0.0 0.0 0.0 0.0 0 0.0 0 5 10 15 20 25 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 32 33 Capacity, 29 31 GW Calon Drax EDF EPH ESB Intergen Munich Re RWE SSE Uniper 30 Plant Names: 1. South Humber Bank, 2. Great Yarmouth, 3. Pembroke, 4. Didcot B, 5. Peterhead, 6. Damhead Creek, 7. Staythorpe, 8. Kings Lynn, 9. Spalding, 10. Marchwood, 11. Cottam Dvpt Centre, 12. Shoreham, 13. Coryton, 14. Carrington, 15. Little Barford, 16. Rocksavage, 17. West Burton B, 18. Seabank 1, 19. Medway, 20. Connahs Quay, 21. Seabank 2, 22. Keadby, 23. Rye House, 24. Langage, 25. Enfield Energy, 26. Killingholme 2, 27. Corby, 28. Sutton Bridge, 29. Killingholme 1, 30. Glanford Brigg, 31. Peterborough, 32. Severn, 33. Baglan Bay. 1) Includes all CCGT plants of the presented companies that report to the Balancing Mechanism

Sources: Aurora Energy Research, Elexon 18 3 Plant performance Coal plant utilisation – by plant

Full load hours1 Column width % of total for the period reflects capacity

100

90

80

70

60

50 47.4

40 31.3 30

20 15.9

10 0.0 0 0 2 4 6 1 2 3 4 Capacity, Drax EDF SSE Uniper GW

Plant Names: 1. Ratcliffe, 2. Drax Coal, 3. West Burton, 4. Uskmouth, 5. Fiddlers Ferry. 1) Includes all coal plants of the presented companies that report to the Balancing Mechanism

Sources: Aurora Energy Research, Elexon 19 3 Plant performance Monthly load factors by technology

Average load factor1 %

60

40

43 50 20 35 34 32 24 23 22 23 21 28 28 26 0 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21 80 60

40 71 58 54 56 52 52 48 20 34 31 36 34 36 41 0 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21 30

20

10 17 20 12 16 15 13 12 6 6 0 3 4 2 3 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21

Onshore Wind Onshore Average Offshore Wind Offshore Average Solar Solar Average 1) Includes outputs from generators registered as BM Units as well as embedded wind and solar PV

Sources: Aurora Energy Research, Elexon, Crown Estate 20 3 Plant performance utilisation – load factor by wind farm

Load factor1 %

100 90 80 70 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51 54 57 60 63 66 69 72 75 78 81 84 87 90 93 96 99 104 109 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76 79 82 85 88 91 94 97 100 108 11 14 17 20 23 26 29 32 35 38 41 44 47 50 53 56 59 62 65 68 71 74 77 80 83 86 89 92 95 98 101 107 102 106 Offshore Wind Onshore Wind 103 105

Plant Names: 1. Pauls Hill, 2. Dudgeon, 3. Whiteside Hill, 4. Aikengall 2, 5. Westermost Rough, 6. Hywind , 7. Galloper, 8. Humber, 9. , 10. East Anglia One, 11. Race Bank, 12. Gordonstown, 13. Dorenell, 14. Sheringham Shoals, 15. Greater Gabbard, 16. Sanquhar Community, 17. Crystal Rig, 18. Fallago Rig, 19. Lincs, 20. Hornsea 1 , 21. Walney Extension, 22. Burbo Extension, 23. Rampion, 24. Beatrice, 25. Brockloch Rig 2, 26. West of Duddon Sands, 27. Blackcraig, 28. Cour, 29. Thanet, 30. Walney, 31. Carraig Gheal, 32. Gwynt y Mor, 33. , 34. Gunfleet Sands, 35. Burbo Bank, 36. Auchrobert, 37. Corriegarth, 38. Assel Valley, 39. Coire Na Cloiche, 40. Kilbraur, 41. Millennium, 42. Aberdeen, 43. , 44. Galawhistle, 45. Baillie, 46. A Chruach, 47. Mid Hill, 48. Ormonde, 49. Beinneun, 50. Glen App, 51. Afton, 52. Hill of Glaschyle, 53. Andershaw, 54. Rothes Extension, 55. Barrow, 56. Minsca, 57. Stronelairg, 58. Camster, 59. Dunmaglass, 60. Bad a Cheo, 61. Dalswinton, 62. Beinn An Tuirc , 63. An Suidhe, 64. Robin Rigg, 65. Freasdail, 66. Strathy North, 67. Clyde, 68. Farr, 69. Glens of Foudland, 70. Tullymurdoch, 71. Toddleburn, 72. Burn of Whilk, 73. Goole Fields, 74. Dersalloch, 75. Ewe Hill, 76. Berry Burn, 77. Kype Muir, 78. Glenchamber, 79. Braes of Doune, 80. Gordonbush, 81. Harburnhead, 82. Clashindarroch, 83. Minnygap, 84. Beinn Tharsuinn, 85. Tullo, 86. Hill of Towie, 87. Arecleoch, 88. Bhlaraidh, 89. Edinbane, 90. Hare Hill Extension, 91. Tullo Extension, 92. Embedded Wind, 93. Mark Hill, 94. Corriemoillie, 95. Lochluichart, 96. Dun Law Extension, 97. Middle Muir, 98. Harestanes, 99. Griffin, 100. Craig, 101. Whitelee, 102. Clachan Flats, 103. Hadyard Hill, 104. Moy, 105. Airies, 106. Black Law, 107. Kincardine, 108. Brownieleys, 109. Keith Hill. 1) Represents UK wind farms reporting Balancing Mechanism Unit data. Figures presented reflect Final Physical Notification (FPN) expectations reported to the grid, which are not always representative of actual production

Sources: Aurora Energy Research, Elexon, Crown Estate 21 3 Plant performance Wind capture price versus baseload price

Price £/MWh

75 +31% 70 65 60 55 50 45 40 35 30 25 20 15 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21 Wind load factors %

43 50 35 24 23 22 23 21 28 28 34 32 26

58 71 54 34 31 36 34 36 41 56 52 52 48 Baseload1 Wind Capture 2 1) Baseload price is the average monthly APX price; 2) Wind capture price is the load-weighted monthly average APX price across all wind Balancing Mechanism plants for all half-hourly periods

Sources: Aurora Energy Research, Elexon, Thomson Reuters 22 Appendix

Data used

▪ Output values used in this summary reflect the sum of Final Physical Notifications (FPN) submitted by all BM Units of a given plant that have been active over the last three months. ▪ Capacity values used in this summary reflect the sum of capacities of individual BM Units, as reported to the Balancing Mechanism, that have been active over the last three months. They reflect long-term capacities and exclude temporary fluctuations due e.g. to plant failures or scheduled maintenance. ▪ Prices used in this summary are the APX half-hourly Reference Prices for half-hourly, two-hourly and four-hourly spot products.

Categories presented

▪ Full-load hours represent the plants’ load factors, calculated as the ratio of the output produced in a given month to the maximum possible output given the plants’ capacity. ▪ Running hours represent the proportion of time in a given month when a plant has been active, i.e. when at least one of its BM Units produced output greater than zero. ▪ Capture prices (or average output-weighted prices) are calculated as an average of APX half-hourly prices per MWh weighted by the plants’ corresponding half-hourly outputs for all periods. ▪ Average gross margins are calculated as a sum of the uplift and inframarginal rent. Uplift is calculated as the difference between the APX price and the system marginal cost (SMC). SMC is the maximum marginal cost of all the plants with at least one generator producing above 80% of its installed capacity in a given half-hour. ▪ Emissions are calculated as plant output divided by electrical efficiency, multiplied by theoretical carbon content of the fuel input. The carbon content of fuel inputs is sourced from BEIS’s Greenhouse gas reporting – Conversion factors 2016. System carbon intensity is calculated as the total emission divided by total electricity generated.

Source: Aurora Energy Research 23 Disclaimer and Copyright

General Disclaimer This document is provided "as is" for your information only and no representation or warranty, express or implied, is given by Aurora Energy Research Limited and its subsidiaries Aurora Energy Research GmbH and Aurora Energy Research Pty Ltd (together, "Aurora"), their directors, employees agents or affiliates (together, Aurora’s "Associates") as to its accuracy, reliability or completeness. Aurora and its Associates assume no responsibility, and accept no liability for, any loss arising out of your use of this document. This document is not to be relied upon for any purpose or used in substitution for your own independent investigations and sound judgment. The information contained in this document reflects our beliefs, assumptions, intentions and expectations as of the date of this document and is subject to change. Aurora assumes no obligation, and does not intend, to update this information.

Forward-looking statements This document contains forward-looking statements and information, which reflect Aurora’s current view with respect to future events and financial performance. When used in this document, the words "believes", "expects", "plans", "may", "will", "would", "could", "should", "anticipates", "estimates", "project", "intend" or "outlook" or other variations of these words or other similar expressions are intended to identify forward-looking statements and information. Actual results may differ materially from the expectations expressed or implied in the forward-looking statements as a result of known and unknown risks and uncertainties. Known risks and uncertainties include but are not limited to: risks associated with political events in Europe and elsewhere, contractual risks, creditworthiness of customers, performance of suppliers and management of plant and personnel; risk associated with financial factors such as volatility in exchange rates, increases in interest rates, restrictions on access to capital, and swings in global financial markets; risks associated with domestic and foreign government regulation, including export controls and economic sanctions; and other risks, including litigation. The foregoing list of important factors is not exhaustive.

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