Chris Cakebread: Using Data Positvely

Chris Cakebread

Regional Sales Executive

Stark Software International

Using Data Positively

Why do we need Consumption Data ?

• EC Directives Energy Performance in Buildings End user billing and metering

• CLG Building Regulations (Part L) DEC’s

• DECC Carbon Reduction Commitment

Supplier Invoice Data

Manually Read Data

AMR Data

Principle Sources of Consumption Data

Supplier Invoice Data

•Positives•Delivered every month

•Someone else's job

•No Cost option

•Negatives•Unreliable

•Estimated

•CO2 Reporting penalties

Manually Read Data

•Positives•Business chooses Frequency

•Data collected before invoice arrives

•Build own database of data

•Negatives•Unreliable

•Transcription

•Human Element

•Cost

AMR Data

•Positives•Automatically Collected & Verified

•Billed on Actual's

•Reduced Administration costs

•Ease of Reporting

•Negatives•Cost !

•Short Term Disruption

Automatic Meter Reading

AMR

Automatic Meter Reading

•Available for •Electricity

•Gas

•Water

•LPG

•Heat

• Reduce administration costs Eliminate estimated bills Receive accurate closing and opening reads

• Procure energy at lower rates Validate NHH site profile class Adopt Time of Use tariffs

• Implement an energy management programme Building performance analysis Identify waste

Supply Side Benefits of AMR

• Reduce consumption Change consumer behaviour

• Benchmarking Identify current usage levels

• Develop a monitoring and targeting programme Measure performance improvements Sustain savings through continuous performance monitoring

Demand Side Benefits of AMR

• Integrated metrology and communications design

Significantly improves data delivery performance

• Minimises deployment costs Integrated high performance dual band antenna

• Maximises network coverage Operates reliably with very low signal strength

Stark SMS Data Collection

• Enterprise Wide Access Organisational Empowerment All involved

• Building Access Individual Performance Monitoring Local Factors Affecting Consumption patterns

• Usability Simple to use Minimum of training required

Accessing Data

• Monitoring & Targeting Owner? Setting Realistic targets

• Manage by Exception Targets 80 – 20 Rule

• Continuous Monitoring Benchmarking Performance improvements

Accessing Data

• On-Demand CO2 reporting

• Multi utility

• Multi user

• Configurable reporting structure

• Raw data available on-demand

• User Defined Occupancy

• User Defined Exception Parameters

Reporting

• Daily, weekly, monthly and annual reporting

• Scheduled reporting

• Exception reporting

• Temperature reporting

• Email reports direct from Savenergy Online

• Save to file with ease

Reporting

View and Analyse Daily Electricity Consumption with ease

View Electricity Consumption by Time of Use (Day/Night)

Check Electricity Consumption by Occupancy

View Electricity Consumption Trends by Month

View Electricity Consumption by Moving Average

Exception Reports Delivered Automatically by email

View all 3 utilities a single report

Thank you

Questions ?