Independent analysis methods for Data Centers

Independent analysis methods for

Data Centers

Max Altmeyer / Marvin Köhler

Bilfinger HSG Facility Management GmbH

Agenda

1. Weak point analysis

2. Energy efficiency analysis

3. Combined FMECA / RAM / ENERGY Analysis

4. Spare parts management

RAM – System modeling

 Simulation of system availability and reliability within a defined period of observation

 Optimization of maintenance strategy

 Optimization of spare parts inventory

 Quantitative assessment of optimization measures

SPOF Quick Check - Risk assessment using specific questions

 Identification and assessment of weak points using a tailored questionnaire with regard to all relevant systems

 Diversion of optimization measures

FME(C)A – Failure mode and effects analysis

 Detailed system analysis

 Identification of failure modes and investigation of their potential influences  Qualitative assessment with assistance of a risk matrix

 Qualitative assessment of optimization measures

Identification of weak points

using a modular concept

Lev e l of deta il

The „SPOF Quick Check“ evaluates the technical infrastructure of

Data Centers using a tailored questionnaire

1 Identification of relevant risks using a tailored questionnaire

2 Risk assessment using a coordinated risk matrix

3 Define need for action

4 Create results report

Assessment of

 Fire protection system

 Air-conditioning/cooling system  Electrical system as well as  physical security  external risks  energy efficiency

using a tailored questionnaire and a coordinated risk matrix to identify

Single Points Of Failure and deduce optimization measures.

SPOF Quick check methodology

Risk matrix Pro b a b ili ty o f o c c u re n c e Severity

> 50a 10a < MTBF < 50a 1a < MTBF < 10a < 1 a proactive reactive

<life cycle >= life cycle remaining

redundancy spare parts availability ranking 1 2 3 4

2N 0

N+1 On Site / agreement with

supplier 1 S x O 3 4 5 6 7 8 N set-up time > 12h 2 1 3 4 5 6 7 8 N-1 no availability 3 2 6 8 10 12 14 16 IT Outage 8 3 9 12 15 18 21 24 4 12 16 20 24 28 32 5 15 20 25 30 35 40 6 18 24 30 36 42 48 9 27 36 45 54 63 72 10 30 40 50 60 70 80 11 33 44 55 66 77 88 severity (S) sum O s um S occurrence (O) mean time between failures maintenance strategy

age of the component

FMECA is an qualitative risk assessment

of all system components

FMECA methodology

Risk matrix

Failure Mode, Effects and Criticality

Analysis

 Assessment of all system components with

regard to

 Repair times

 Spare parts availability

 Redundancy concept

 Maintenance strategy

 Component age

 Failure rate

 Failure detection

 … and their corresponding criticality to

answer the following questions:

 What can fail?

 What is the cause of the failure?

 What are the effects of the failure?

 What can be done in a preventive way?

 Subsequently a catalog of measures for the

compensation of critical components will be prepared.

1 Breaking down the system into its components

2 Identification and assessment of potential failures

3 Inclusion of the operational employees

4 Define need for action

5 Create results report

RAM is an quantitative methodology to calculate the

reliability, availability and maintainability of a system

RAM methodology

RAM =

Reliability, Availability and Maintainability

 The RAM analysis is using a realistic system

image (model) to identify reliability parameters like

 System availability and

 Number of system failures via a Monte-Carlo-Simulation.

 Process of a RAM analysis:

 Modeling the DC – Mapping of all components as blocks within a Reliability

Block Diagram (RBD)

 Definition of failure models for each block – including fault rate, repair times, maintenance activities etc.

 Model simulation via Isograph Availability Workbench ©

Excerpt of a RBD

1 As is - System model based on the FMECA

2 Parameterization and simulation of the as is - model based on the FMECA 3 Definition, modeling and simulation of optimization measures

4 Comparison of measures in regard to availability and reliability

Agenda

1. Weak point analysis

2. Energy efficiency analysis

3. Combined FMECA / RAM / ENERGY analysis

4. Spare parts management

 Specific task in Data Centers:

Efficiency increase and therewith an improvement of PUE and other performance figures

 An energy efficiency analysis tailored to data centers provides a structured identification of energy potentials based on the DC-specific Bilfinger Best Practice for energy efficiency  The analysis is following the energy

flow in the data center:

Starting at the grid connection via

transformers, emergency power systems, UPS, PDU to the server and from there via the CRAC unit, the piping system, the pumps, the heat

exchangers, the coolers, the chillers

or other heat sinks to the heat dissipation into the environment

Our approach towards a better

energy efficiency in a Data Center

Bilfinger Best Practice for energy efficiency

in a Data Center

UPS-System

 Highly efficient systems

 Graduation / Shutdown

 Use of modular systems

 Alternative energy storage

In the server room

 Cover plates

 Raised floor sealing

 Rack orientation

 Hot and cold aisle containment

 Management of perforated plates

Air cooling units

 Retrofit of FC-controlled / EC fans

 Increase of temperature difference (supply / return air)

 Shutdown of excessively redundant plant

 Air flow optimization

 Self actuating flaps

Outside the server room

 Optimize the cooling medium temperature

 Extension of free cooling

 Efficiency increase at partial-load operation

 Frequency converter or EC technology for

actuators

 Alternative heat sinks

 Thermal energy storage

 Subsequent use of waste heat

General electrical supply

 On site power generation

 CHP unit with absorption chillers

Agenda

1. Weak point analysis

2. Energy efficiency analysis

3. Combined FMECA / RAM / ENERGY analysis

4. Spare parts management

Identification of energy potentials

ROI calculation for identified measures

Detailed report illustrating the results

System modeling and calculation of current availability and reliability using the Monte-Carlo-Simulation.

Identification of existing risks

Identification of critical components / SPOFs

Employee training

The FMECA / RAM / ENERGY analysis considers availability and energy

efficiency to find the optimized solutions for your data center

Methodology

Availability analysis

_{Energy efficiency analysis}

Measures

1

2

4

5

6

3

2

1

7

8

3

4

5

6

7

Modeling of measures which effect availability to quantify their impact on availability and reliability. Availability with measures in place

1

₄

2

₈

2

₃

7

combination

Actual energy consumption

RA

M

Modeling of energy efficiency measures to quantify their impact on availability and reliability.

Energy consumption with energy measures in place Availability with energy measures in place Target: Availability increase Target: Reduction of energy consumption E NERGY

Added value for all involved parties

Optimized operation of a Data Center

 Consideration of technical plant with a view on reliability and energy efficiency  Energy saving potentials additionally checked regarding the availability influences  Quantification of the energy

efficiency of existing technical plant

 optimized parameterization and operating mode of plant  Knowledge transfer in terms

of legal requirements

 Quantification of reliability and

availability

 Information about the

criticality of all components

 Improvement of the maintenance management

Data

Center

Operator

Energy

efficiency

analysis

FMECA /

RAM

analysis

Agenda

1. Weak point analysis

2. Energy efficiency analysis

3. Combined FMECA / RAM / ENERGY analysis

4. Spare parts management

Comp. 1

An efficient spare part management guarantees a minimum of

total cost of ownership

Plant 2 Plant 1 Plant 3 Plant 1 Comp. 2 Comp. 3 Comp. 2 Identification of critical plant Identification of critical components Excerpt of a RBD Kopt nopt Setup times Repair times Storage costs Downtime costs Maintenance costs Hazard rate Observation time

Weak point analysis Spare parts analysis

1

3

4

2

2 Plant - FMECA to identify critical components of the previously identified plant 3 Modeling of the critical plant and parameterization using the FMECA

4 Comparison of different spare parts concepts to achieve a minimum TCO

Contact

Bilfinger HSG Facility Management GmbH Max Altmeyer An der Gehespitz 50 63263 Neu-Isenburg Germany

Phone