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An Analyst lyst Meeting eting 3Q2019 2019 Re Results sults 11 - PowerPoint PPT Presentation

An Analyst lyst Meeting eting 3Q2019 2019 Re Results sults 11 Nov 2 2019 19 Ticker cker: BCPG (SET) Ag Agen enda da 3Q19 Key highlights Portfolio & Projects in pipelines Performance Business Outlook 2 Ag Agen enda da


  1. An Analyst lyst Meeting eting 3Q2019 2019 Re Results sults 11 Nov 2 2019 19 Ticker cker: BCPG (SET)

  2. Ag Agen enda da 3Q19 Key highlights Portfolio & Projects in pipelines Performance Business Outlook 2

  3. Ag Agen enda da 3Q19 Key highlights Portfolio & Projects in pipelines Performance Business Outlook 3

  4. 3Q19 Key Highlights New Acquisition in Secure high tariff ERC Sandbox Nam San 3A in Japan “ 4 projects to “Our first step “ 75 75 MW tes est en ener ergy innovation in hydropower er pla lant in pipel elines es in regulatory Sandbox” and in CLMV.” with JPY 36 per kWh” 4

  5. Lao PDR as the battery of Asia Laos os PDR DR At-A-Glan lance ce 400 12 Complime limenta ntary ry of each h resour urce ce in SEA regio ion 11 350 10 300 9 Wind (Wind d Speed) d) 250 8 Hydro ro and Hybr brid id Pot otential ential 200 7 6 150 Solar r (Irradi radiati ation) 5 Abundance of hydro resources, potential for up to 26 GW of 100 4 50 3 Hydro dro (Rai ainfall all) hydro power plant with current up-and-run approximately 5 GW 0 2 Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Complimentary of wind solar and hydro resources in South East Asia region, an opportunity for hybrid power plant Current ent MOU to export ort power wer to neighbo ighbor Myanma nmar 300 – 400 MW High h Growth th of Electric ectricit ity y Deman mand d Thail iland nd 9,000 MW Vietnam tnam 5,000 MW Energy demand expect to increase with CAGR c. 8% until 2030 Location advantage allowing Lao to export power to neighbor Cambo bodia dia 200 MW Approximately 15 GW of exporting capacity signed 5 Malaysi ysia 300 MW

  6. El nino and La nina Effect What at are El Nino no and La La Nina? na? El N l Nino no ef effec ect La Nina La na ef effec ect La Nina means "the little girl.“ El Nino means "the little boy.“ La Nina is characterized by the opposite process. Dry conditi itions ons follo low w the warm rm water er to the central and northern Australia and southeast Asia. Dry conditions in Pacific coastal South America, and much wetter conditions in northern Australia and While the wetter conditions impact Pacific coastal South southeast Asia America. El Nino (the warm phase) and La Nina (the cold phase), typically last for 9-12 months each, but in rare cases can last over multiple years 6 Source: International Research Institute for climate and Society, UNESCAP

  7. Irradiation Forecasting by Global Signal Right ht mix x of renewabl ewable e technology hnology will l buil ild d resilie ilience nce into to our portf tfolio olio El Nino Strong +3 o C > +0.5 o C = Possibility of El Nino 0 o C = Neutral (Dry condition in SE Asia) < -0.5 o C = Possibility of La Nina 0 o C The e trend nd move ve to neut utral ral or weak k La Nina. La Nina -3 o C Strong (Wetter condition in SE Asia) Histor orica ical l Perfo forma mance nce * 5.3 65% Solar ar TH CTOR (%) DAY) Y) 60% Y FACTOR 5.2 IRR (HRS / D 55% 50% 5.1 CITY PACIT 45% IRR Hydro ro LA CAPA 5.0 40% 2016 2017 2018 2019 7 Source&Remarks: National Oceanic and Atmospheric Administration, U.S.A. / * Base on actual data

  8. Chance of El nino and La nina Hybri ridi dizi zing g impacts pacts to the power er plants ts Estimated El Nino and La Nina * in SE Asia for September – December 2019 Power er Plan ants ts El Nino La Nina a Solar Power Plants Benefit Not benefit Wind Power Plants Not benefit Benefit Hydro Power Plants Not benefit Benefit 30% El Nino 30% Solar Power plants are mostly benefit from El Nino according to intensified 60% 60% ENSO-Neutral* radiation caused by the drought weather. 10% 10% La Nina Hydro Power Plant and Wind Power Plants are benefit from La Nina according to Low air pressure, which is likely to cause Monsoon, Depression and Typhoon. Source: International Research Institute for climate and Society, UNESCAP 8 *ENSO-Neutral = Above-average sea surface 0 o C temperature across the equatorial.

  9. Nam San 3A: Project Fact Sheet The e in-bou ound nd river er to Mek ekong ng with few ewer er sea easona sonality lity ef effec ect 69 MW Mekon ong g River ver Nam San 3A Projec ect t Summary ary (Nam San 3A) Location Nam San River, Xiengkhouang Province In-bo In bound to Type Run-of-river Mekong g River Installed Capacity 69 MW • Concession agreement with Government of Laos for Concession 27 years period after COD • Build-Operate-Transfer (BOT) basis • 4,424 MTHB - Paid • 891 MTHB – upon completion of negotiation to Purchase Price First expansion to Lao PDR with strong growth potential increase tariff Technology and revenue risk diversification COD date 29 January 2016 Stable cashflow • Power Purchase Agreement with Electricite du Laos for 27 years period after COD Acquired the asset from the extensively experienced Off-taker • Take-or-pay basis hydropower plant developer, Phongsubthavy group, which is • Tariff rate at 6 – 7 US cents per kWh operatingseveralhydropowerplantsinLaos. 9

  10. Projects update in Japan 25 MW under er construc structi tion, on, while e 50 MW are promp mpt t to construc struct Secur ecured ed Constructing structing 36 JPY/kWh 36 Y/kWh Komag agane Yabuki i Got exemption from Grid connection work Granted grid connection work application application and requesting FDP permission. and secured FiT at 36 JPY/ kWh. Secured FiT at 36 JPY/kWh. In the process of EPC selection. Deadline of COD without PPA period cut is Constr tructio ction n Progr gres ess >60% 30 Sep 2020. 20 MW 20 MW 25 25 MW Yabuki uki MW COD 2H21 Komagan magane COD 1H20 0 Chiba Ready Re ady to Bu Build ld COD 1H21* 1* Land d Prompt mpt 30 MW* 30 MW** Chiba ba 1 Chiba ba 2 Chiba 1 project has finished EPC Chiba 2 project has finished Land selection process and ready for construction. acquiring . Remark: *Chiba 1 exp.COD by 1H21 & Chiba 2 exp.COD by 2H22 10 **Chiba 1: 20 MW / Chiba 2: 10MW

  11. ERC Sandbox projects Le Leadi ding ng to test t energy rgy innov ovati ations ons in Regulatory ulatory Sandbox ndbox campaign mpaign Management Project Energy Town 77 (Peer er to Peer r with blockchai ckchain n techno hnolo logy gy) Sun Share Smart Green Energy Community Project work System ) (Smar art Grid d Network Lom Ligor Project Smart City Prototype Development Project at CMU (Energy ergy Storag rage e Systems ems) (The he Smart rt City) 11 Source: Energy Regulatory Committee

  12. Ag Agen enda da 3Q19 Key highlights Portfolio & Projects in pipelines Performance Business Outlook 12

  13. Business footprint in 5 countries in Asia Developin veloping Operatin erating g 158 MW 404 MW Unit: t: contrac ntracte ted capacity city or equity ity MW Total Loca cation tion Schem eme Contr tracted cted MW. 562 MW Adder THB 8.00 118 MW Japan an THB 3.50 9.0 MW* 5 VSPP PPs Thaila iland nd FiT (17 17.4 4 MW.) THB 5.66 12.0 MW Thaila iland nd THB 4.12 8.9 MW Develo loping ng 116. 6.5 5 MW 4 SPPs and 9 VSPP PPs (14 147. 7.8 8 MW.) FiT Jap apan JPY 40 10 MW Rooftop top 12 MW. JPY 32 4 MW Under const structio ruction n Laos 1 SPPs Ps FiT Laos (69M 9MW.) USD 0.06-0.07 69 MW. Fit Philippin ilippines USD 0.13 14.4 MW Fit Philipp ilippin ines Indone onesia ia Indone nesia sia USD 0.96 45.4 MW 1 SPPs Ps 3 SPPs Ps USD 0.05-0.07 112.1 MW (14.4 4.4 MW.) (157 57.5 5 MW.) Develo loping ing 5.6 MW Develo loping ing 24 MW 13 Remark: *Including wind power plant project of 9.0 MW

  14. Well-diversified portfolio in 4 major types of technology Y2018 018 Seaso sonalit nality y by Techn hnolo ology gy Contr ntracted acted MW by Techn hnolo ology gy Unit: t: MW (Capacit acity factor or %) 29 MW 181.5 MW Geothe herm rmal al (5.6 MW under (24.0 MW under (ID) development) development) Hydro (LA) 561.6 MW Wind (PH) 282.1 MW (128.5 MW under 69.0 MW Wind (TH) Solar (TH) development) Solar (JP) Q1 Q2 Q3 Q4 Estimate imated Yearly rly Power er Generat eratio ion n Average rage capacit ity y factor or in hours rs by Technolog nology by technolo hnology * Unit: t: GWh 22.5 hrs 17.5% 14 hrs > 2,000 15.1% GWh / year 8.7 hrs 4.1 hrs 4.3 hrs 64.4% 3 hrs 3.1% 14 Remarks : * Calculate base on capacity factor (%) in 2018

  15. Portfolio growth from existing pipeline Cur urrent rent pipeline eline gua uarant antee ees s a growth wth of 30 30% % in the e nex ext 5 5 yea ears Cur urrent rent portf tfolio lio and pipelines elines Solar Equivalent ** 1 ,500 MW Solar Equivalent ** Unit: t: MW 1 ,300 MW Curren ent pipeline eline 12.0 MW TH 2020 25.0 MW JP 2020 520 MW 40.0 MW JP 2021 10.0 MW JP 2022 404 MW* 5.6 MW PH 2022 24.0 MW ID 2024 335 326 148 …...... 2016 2017 2018 2019 2024 Remarks : Not including wait for grid projects in Japan of 41.5 contracted equity MW / **Solar equivalent are calculate to be compared with Solar power plant 15 in Thailand

  16. Ag Agen enda da 3Q19 Key highlights Portfolio & Projects in pipelines Performance Business Outlook 16

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