We are smart with diesel. And love solar. We are empowering off-grid customers. Load data as the key to success for PV-Diesel Hybrid Systems

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1 We are smart with diesel. And love solar. We are empowering off-grid customers. Load data as the key to success for PV-Diesel Hybrid Systems PEP Information Workshop PV-Hybrid systems in Tanzania Market structure and business models 16 th March 2015

2 OneShore executives have successfully realised diesel-hybrid projects and built a customer pipeline» Realised projects (examples) Remote village, Australia Island-base, Atlantic Mining, Australia PV-Diesel-Hybrid Wind-Diesel-Hybrid Diesel-Hybrid» OneAnalyser installations (selected) Hotel resort, TZ Rural village, KE Coffee farm, TZ 2

3 OneShore offers engineering services globally and focuses market development on Kenya / Tanzania 3

4 The Problem Diesel Generators Used for electricity generation for 95% of off- and weak-grid clients. Renewables Financing High upfront investment and no transparency for investors and decision makers. 4

5 The Solution Solar Power Plants Solar is now competitive and smart controllers enable gridstability in a hybrid system. Access to Capital OneShore product suite brings full transparency enabling decision making & financing. 5

6 Market segments benefitting most from hybrids Hotel resorts Industry Agriculture Hospitals Rural villages Mining 6

7 OneShore services are based on deep understanding of the load profile and financing needs 2) Engineering We create a detailed model of the power system, designing a maximum solar penetration without affecting grid stability 5) Operations We ensure stable operation and will assess further potential fuel savings 1) Load data gain understanding of the current energy generation setup, measure demand profile and assess site condition 3) Financing Financing solutions will allow our clients to purchase cheap solar energy through a PPA immediately without upfront investment 4) Installation We work closely with local partners to successfully install and commission the system. 7

8 PV-Hybrids allow customers to save up to 40% of diesel fuel with an attractive pay-back time Customer view Before System Owner PPA Energy consumption 800 MWh/a Electricity generation 100% Diesel 40% PV 40% PV Overall electricity cost 0.58 USD/kWh 0.43 USD/kWh 0.55 USD/kWh Customer invest / down-payment 430,000 USD 50,000 USD Net savings for customers 120,000 USD/a 24,000 USD/a Pay-back 3.7 years 2.1 years Total savings for customers (15 yrs) 1,764,000 USD 360,000 USD 8

9 Solar system sizing is absolutely critical for its successful implementation Determines Overall investment Future savings PPA / solar lease monthly payments Financial success of system 9

10 System sizing is often based solely on customer input or short-term / incorrect load measurements Actual customer data: hotel resort Assumed load :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 Factor Minimum Load Maximum Load Annual Energy Demand Peak Load Proposed PV Size Assumed System 42 kw 150 KW kwh / year Evening 200 kw 10

11 Longer measurements reveal real loads and peaks, implying different system sizes Measured load :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 Factor Minimum Load Maximum Load Annual Energy Demand Peak Load Proposed PV Size Real Measured 29 kw 90 kw kwh / year Lunchtime 100 kw 11

12 Using OneAnalyser s on site load measurements reduces the required investment by up to 50% Assumed load Measured load 0 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 Factor Assumed System Real Measured Minimum Load 42 kw 29 kw Maximum Load 150 KW 90 kw Annual Energy Demand kwh / year kwh / year Peak Load Evening Lunchtime Proposed PV Size 200 kw 100 kw 12

13 OneShore offers the first comprehensive product and service package in the market for PV-Hybrid systems OneAnalyser OneDesign OneOptimiser Verified load data irradiation data Validated calculations diesel savings initial plant sizing Proven gridstability Transparency for investors Automated, verifiable generation of plant design Optimised operation expansion of system Remote monitoring Continuous collection of operating data Reduced and optimised investment budget Validated savings High-resolution continuous measurement Investment security Optimised plant design to match loads Algorithms ensuring highest solar share Combined energy and dynamic simulation Continous optimisation of operation Learning algorithms based on big data 13

14 OneAnalyser reports enable access to capital and full transparency on electricity consumption. Transparency OneAnalyser report and solar-dieselhybrid system modelling provide full transparency on Load profile Current electricity cost Power quality Solar system size Savings potential Payback timeframe Access to Capital Detailed information provides the base for a sound business case enabling Investment decision by internal management or Access to external funds by project investors or financial institutions Empowers management with detailed and reliable information Generates a solid business case with short payback for decision making Better understanding of risk profile by decision makers and investors Lower interest rates or required rates of project returns 14

15 VDE application guide - introduction Validation of input data for the simulation of PVdiesel and energy storage projects Reliable load curve measurement important step during development Poor basis of data in off-grid systems Mostly synthetic generated load profiles In future simulated fuel savings in hybrid off-grid systems will be validated Improved trust by an objective quality criteria Professional development of the market 15

16 VDE application guide advantages and prospect Goals 1. Increase trust between project developers and potential investors by using a standard approved by the VDE as a recognized institution 2. Contribute for a better data basis and the understanding of the importance of data measurements in a project 3. Minimise risk of system oversizing and enable third party operating models Status Industry feedback has been requested Prospect First application cases expected in Q3/Q

17 Martin Baart Vice President Engineering Saarbrücker Str Berlin Germany Phone:

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