3 technical and financial simulation tools for high penetration hybrid power systems

Instrumentation, Controls & Electrical Unrestricted © Siemens AG 2015 All rights reserved.

Siemens

Hybrid Power Solutions Technical and Financial Simulation Tools for High Penetration Hybrid Power

Systems, Bangkok June 2015

Siemens Hybrid Power Solutions

Unrestricted © Siemens AG 2015 All rights reserved.

S.Scudlo / PG IE SGS

Overview

1. Applications

2. High Renewable Energy Penetration

3. Tools

4. Customer Benefits




Applications

Focus on sophisticated solutions

On-Grid, Renewables “unlimited”

On-Grid, weak grid application *

On-Grid, with forecasting *

Off-Grid *

Performance

Guarantees

* applications with High Renewable Energy (RE) penetration




High Renewable Energy Penetration

What does it mean ?

Low RE penetration Medium RE penetration High RE penetration

RE power compared

to current load

< 20% 20 - 70 % 70 - 160 %

Annual RE energy

production

5 – 10 % 10 - 20 % 20 - 60 %




High Renewable Energy Penetration

It makes sense

Ideal conditions Low irradiation Medium irradiation




Tools to utilize entire value chain

Interlinking strengths and profitable business

Components/

Products Design Service Operations

Engin. /

Procure.

Cons-

truction

Sizing Tool

Plant Optimizer (HPO)

Plant Controller (HPC)

Grid stability

Performance

Guarantees PV Planet

Back-2-Back

Competence

System

integration Financing

HMI




Sizing Tool

Input Data with high resolution

Temperature

Note: Hydro, Biomass, Geothermal on request

Diesel/ HFO

How accurate are the input data and which assumptions have to be taken ?

Load Profile

Wind Profile

Solar Irradiation




Sizing Tool

Equipment

Intelligent pre selection based on additional information, e.g. site visit.

PV Modules, Wind Turbines,

Diesel Gen-Set, Stroage




Sizing Tool

Technical Simulation Results

What is the ideal Renewable Resource ?

What is the optimal configuration which results in the best business case ?




Sizing Tool

Financial optimization

Lifetime

Capital Expenditure

Some basic project financial data are essential.

O&M Costs

Costs of Debt

Fuel Costs

Customer Name

Project Name

Location




Sizing Tool

Financial optimization Results

What are the main driver for a customer ?

(NPV, IRR, Payback, Capital Investment, LCoE, PPA@ X % IRR)




Control and Grid stability – Plant Optimizer

(HPO),Plant Controller (HPC), Grid stability

Start up DG1

No load

operation

Inrush of

PV-Inverter

“Low load operation” of

diesel generator

“Dump load operation”

prevents load for diesel generator

Switch on

load

Start MPP-

Tracking

Behaviour of system with

PV-Inverter running as Current Source Inverter (CSI) Behaviour of system with

PV-Inverter running as CSI with dump load

Switch on

load

Start MPP-

Tracking




Engineering Tool

PV Plant Toolbox

One PV sizing tools fits for technical, commercial optimization, supports offer preparation

and project execution within shortest time.

Topography Land Area

Shadow Angle Rule

Cable Routing

Layout Comparison Data output and Drawings




Tool for Service and Operation

Operating and Monitoring - Hybrid Power Plant HMI




Performance Guarantees

Decreasing customer risks and exposure

PV Performance Ratio [%]

PV Park Energy

Output [MWh]

Renewable Energy

to Grid [MWh]

Fuel Savings [liters]

Monetary

Savings [€]

Customer Risk

A

B C

D

E

Ratio of

Guarantee Option Unit Weather PV park

efficiency

Storage

performance

Control

Strategy

Genset

Efficiency Fuel price

A). RE performance Ratio %

B). RE park(s) energy output MWh

C). RE Energy to Grid (E2G) MWh

D). Fuel savings kJ (l / kg)

E). Monetary savings € / $

* RE = Renewable Energy. This example is based on a PV park, wind parks and combinations are also possible

Customer’s

main interest

PV Park

Storage

System

Control

System

Gensets

Customer

Load




Benefit of Simulation Tools for Customers

Why should simulations tools for technical and economical optimization being used instead of

standardized hybrid power blocks, e.g. 4MW DGS + 4MW Wind + 4MW/2MWh Storage ?

Pro: technically possible, as long as

• Maximum load is less than DGS

power

• No large consumer in operation

Con: most probably no economical business case

• Too high investment and operation costs related to what

is really needed (=load)

• No consideration of alternatives like PV, hydro or

biomass which could lead to much more attractive

business cases

• No optimization in terms of customer main focus, e.g.

IRR, payback period, LCoE

What are the customer benefits if simulation tools are used ?

• Project specific optimized solution

• You pay for what you need

• Lower investment and operation costs compensate for slightly higher engineering efforts

• Simulations, design, implementation, guarantees always based on the same algorithms and logic




Published by and Copyright 2015:

Steffen Scudlo

Siemens AG

Power and Gas

Instrumentation and Electrical

Freyeslebenstrasse 1

91058 Erlangen, Germany

Tel.: + 49 9131 / 18 – 84105

This document contains forward-looking statements and information – that is, statements related to future, not past, events. These statements

may be identified either orally or in writing by words as “expects”, “anticipates”, “intends”, “plans”, “believes”, “seeks”, “estimates”, “will” or words

of similar meaning. Such statements are based on our current expectations and certain assumptions, and are, therefore, subject to certain risks

and uncertainties. A variety of factors, many of which are beyond Siemens’ control, affect its operations, performance, business strategy and

results and could cause the actual results, performance or achievements of Siemens worldwide to be materially different from any future results,

performance or achievements that may be expressed or implied by such forward-looking statements. For us, particular uncertainties arise,

among others, from changes in general economic and business conditions, changes in currency exchange rates and interest rates, introduction

of competing products or technologies by other companies, lack of acceptance of new products or services by customers targeted by Siemens

worldwide, changes in business strategy and various other factors. More detailed information about certain of these factors is contained in

Siemens’ filings with the SEC, which are available on the Siemens website, www.siemens.com and on the SEC’s website, www.sec.gov. Should

one or more of these risks or uncertainties materialize, or should underlying assumptions prove incorrect, actual results may vary materially from

those described in the relevant forward-looking statement as anticipated, believed, estimated, expected, intended, planned or projected.

Siemens does not intend or assume any obligation to update or revise these forward-looking statements in light of developments which differ

from those anticipated.

Trademarks mentioned in this document are the property of Siemens AG, it's affiliates or their respective owners.

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 cases. The required features should therefore be specified

in each individual case at the time of closing the contract.

Smart Generation Solutions

PG IE

AL:N ECCN:N

To obtain further information, please contact:

[email protected]

3 technical and financial simulation tools for high penetration hybrid power systems

Documents