Innovative and Efficient Power Supply and Material Transportation Solutions for Canada s Mining Industry

Transcription

1 Innovative and Efficient Power Supply and Material Transportation Solutions for Canada s Mining Industry THEMENWORKSHOP Focus Kanada am 10. Dezember 2014 Dr. Ing. Roland Grafe Dipl. Ing. Till Krumbholz Siemens AG

2 Canada s Mining Industry Snapshot Mining Sector Canada is one of the leading mining i countries in the world The mining sector produces large amounts of minerals and metals The Canadian Mining Industry accounts for 20% of the goods exports. Page 2

3 Canada s Mining Industry Snapshot Regional Distribution of Mining Vancouver is the global l centre of expertise for mineral exploration Toronto is the global centre for mining finance Vancouver Toronto Canada plans to invest $160 bn in mining projects over the next decade. Page 3

4 What does Canada s Mining Industry need? Challenges of the mining industry Increasing costs (CAPEX, OPEX) Complicated mining conditions, big mining depths, low mineral grades Environmental concerns about mining activities Demands on the mining equipment builder Increased productivity, bigger machines, higher payloads Minimized energy consumption Reduced CO 2 emissions Our answers Development and provision of innovative products and modern technologies for the mining industry Smart drive systems, integrated drive solutions Increased degree of electrification, automation and services Page 4 The result of our efforts is lower cost per ton.

5 Solutions for Canada s Mining Industry Excavation Transportation ti Bulk Mat Handling Beneficiation i DRIVE SOLUTIONS ELECTRIFICATION AUTOMATION SERVICES - SOLUTIONS - covering the whole plant Blending/Grinding Clinker/Grind & Finishing Outbound Transportation Page 5

6 Siemens Solutions Main Mining Processes Primary process Excavation Excavation Transportation Beneficiation Entire mining process Transportation Beneficiation Page 6

7 Siemens Solutions Excavation & Transportation Primary process Excavation & Material Transportation Surface Bucket Wheel Excavator Shovel Excavator Mining Trucks Trolley Assisted Trucks Page 7

8 Truck Trolley Systems in Mining i Page 8

9 Siemens Future Transport Technologies Siemens ehighway Innovative Solutions for Road Freight Traffic Page 9

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11 Opposing trends, new opportunities Challenges of fuel based generation Shift in technology Cost Fuel costs Weak / no grids Hybrid Power Plants Oil RE systems Emissions Logistic Today Time Page 11

12 How can high renewable penetration be beneficial? PV plant 4, MW 100% 160% 30% of load Storage Control center Off-grid, e.g. Mine Load Average: 14,47 MW Lifetime: 13 years Diesel generators 11 x 2MW Diesel price1.09 $/l $76 mio. $145 mio. 5,2 years $58 mio. 4,6 years $88 mio. 3,8 years $22 mio. $11 mio. $32 mio. Capex Page 12 Cumulated savings (13 years) Diesel only Low penetration (30%) Payback period Medium penetration (100%) High Penetration (160%)

13 All the different operation modes for the hybrid Plant have to be simulated kw PV power Load PV 00:00 06:00 12:00 18:00 24:00 Time Diesel Photovoltaic Battery A. B. C. D. C. B. A. Control Mode Description Connected Primary Control DG BS PV DG BS PV A. Diesel Only Standard operation X X B. Diesel + low PV PV as negative load X X X C. Diesel + PV + Battery Managing volatility of renewables Fault current, Resonances, Harmonics D. PV + Battery Managing volatility of renewables Fault current, Resonances, Harmonics Grid forming X X X X X X X Page 13

14 Why to go for highest renewable penetration? Impact of clouds Power [MW] 25,00 Power output twith clouds 20,00 15,00 10,00 5,00 With a PV plant sized at 160% of average load mostly sufficient RE power can be provided even if clouds covering the plant partially. 0,00 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 load PV 15 MW cloud PV 24 MW cloud Time Page 14

15 Five guarantee concepts Decreasing customer risks and exposure PV Park Storage System PV Park Energy Output [MWh] Renewable Energy to Grid [MWh] Control System Gensets B C E Monetary Savings [ ] Customer Load A Ratio of PV Performance Ratio [%] D Fuel Savings [liters] Customer Risk Guarantee Option Unit Weather PV park efficiency Storage performance Control Strategy Genset Efficiency A). RE performance Ratio % B). RE park(s) energy output MWh Fuel price C). RE Energy to Grid (E2G) MWh D). Fuel savings kj (l / kg) E). Monetary savings /$ SiemensGuarantee * RE = Renewable Energy. This example is based on a PV park, wind parks and combinations are also possible Page 15

16 Siemens support Benefits from a world class turnkey supplier 1 Focus on customer requirements 2 Solutions covering the complete scope 3 One-stop turnkey solution 4 Worldwide experience in turnkey implementation backed by performance guarantees 5 Financial strength 6 Credibility to attract financial partners Page 16

17 Thank You For Your Attention. Siemens AG I DT LD MN MET Schuhstrasse Erlangen GERMANY mining@siemens.com Published by and Copyright 2014: Siemens AG Energy Sector Power Generation Instrumentation, t ti Controls & Electrical l Siemensallee Karlsruhe, Germany Tel.: / To obtain further information, please contact: till.krumbholz@siemens.com Subject to change without prior notice. The information in this document contains general descriptions of the technical options available which do not always have to be present in individual id cases. The required features should therefore be specified in each individual case at the time of closing the contract. Smart Generation Solutions E P IE AL:N ECCN:N Page 17

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19 Why to go for highest renewable penetration? Standard Test Condition Power [MW] 25,00 20,00 15,00 10,00 Power output under STC condition Even if PV plant installed capacity is designed equal to average load it s only possible to achieve 100% renewable penetration if: Laboratory conditions (STC) AND At noon time 5, ,00 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 load PV 15 MW STC PV 24 MW STC Time Additional production on early and late hours of the day. Balance to find between additional investment and increase of production. Page 19

20 Why to go for highest renewable penetration? Real weather conditions Power output t under real weather conditions Power [MW] 25,00 160% RE Power [MW] 25,00 100% RE 20,00 20,00 15,00 15,00 10,00 10,00 5,00 5,00 0,00 00:00 01:30 03:00 04:30 06:00 07:30 09:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 Time 0,00 00:00 01:30 03:00 04:30 06:00 07:30 09:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 Time Standard Test Condition Page 20 Medium irradiation Low irradiation

21 Siemens Hybrid Power Plants 24/7 reliable Power MON Hours Minutes Seconds Milliseconds Page 21

22 Sample case study Philippines Base scenario: Diesel Gensets Only Base scenario Diesel Genset (DGS) 1: 650kW 2: 650kW 3: 280kW Load Profile Page 22 Description Diesel Plant Size: Fuel type: DGS kW Diesel Diesel cost (delivered) (USD/ l) 1.00 Diesel consumption (l/ yr) 1,752,336 Diesel costs (USD/ yr) 1,752,336 Maintenance costs (USD/ yr) 112,419 Total operating costs (USD/ yr) 1,864,755 CO2 emissions (kg/yr) 4,614,477

23 Sample case study Philippines Optimization: Wind, PV, Storage & Diesel Gensets Optimization Hybrid PV Wind Battery DG Size: 275 kwp Irradiation: 1,622 kwh/m² Size: 990 kw Velocity: 5.8 m/s Size: 600 kw, 220 kwh Lithium-Ion kw (1.85MW), Diesel, Temporarily off Description DGS Hybrid Saving Diesel cost (delivered) (USD/ l) Diesel consumption (l/ yr) 1,752,336 1,018, ,355 Payback Period Diesel costs (USD/ yr) 1,752,336 1,018, ,355 ~42% 6.3 yr Maintenance costs (USD/ yr) 112, ,241 (118,822) Total operating costs (USD/ yr) 1,864,755 1,250, ,533 Investment costs (USD) - 4,598,415 - LCoE (USD/ kwh) CO2 Restricted. emissions Siemens AG 2014 (kg/yr) All rights reserved. 4,614,477 2,683,313 1,931,164 Page 23

24 Our solution: Fleet Control is the "brain" of distributed power plant control Price Demand Optimizer Schedules Capacity Central Control & Operation Fleet Generation Optimization Reliable and secure control Fleet Control Generation optimization Combined solution provides highest availability, lowest OPEX and maximum earnings Page 24

25 Regenerative Trolley Unload Down Up Load Page 25 Regenerative substation with active front end IGBT rectifier Trolley on up & down haul recovered Braking energy recovered, fed back to the distribution system