1 / 88

Optimised Carbon Management 30 th April 2014

Optimised Carbon Management 30 th April 2014. Introduction to Carbon Credentials. Professional Services Overview. People, Processes, Technology. O ur industry recognised People are expert in their fields of compliance, carbon, energy and sustainability. .

derry
Download Presentation

Optimised Carbon Management 30 th April 2014

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Optimised Carbon Management 30th April 2014

  2. Introduction to Carbon Credentials

  3. ProfessionalServicesOverview

  4. People, Processes, Technology Our industry recognised People are expert in their fields of compliance, carbon, energy and sustainability. We develop robust & efficient Processesfor data management and analysis to enable our clients to focus on ‘action’ and ‘improvements’ not data and compliance. We use Technology for data storage and advanced analytics and visualisation to provide powerful analysis and outputs.

  5. Where Next For Your Reporting? Looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure. Predictive analytics answers the question what will happen. Historical performance data is combined with rules, algorithms, and occasionally external data to determine the probable future outcome of an event or the likelihood of a situation occurring. This goes beyond predicting future outcomes by also suggesting actions to benefit from the predictions and showing the implications of each decision option. E.g. you may find that there is a risk that you will not meet your reduction targets because of a few select assets. Therefore we can help identify where and what you need to focus on for specific performance improvement on these identified assets.

  6. Key Managed Service Clients

  7. Key Public Sector Clients

  8. Higher Education Panel Ola Bankole Sustainability Manager, Bloomsbury Colleges Group FabiaJeddere-Fisher Energy Engineer, The University of the West of England John Taylor Senior Energy Engineer, Carbon Credentials

  9. Trends in Carbon Management Planning

  10. Your Reasons for Attending

  11. The Higher Education Balancing Act The Energy Trilemma

  12. The Value at Risk Energy Costs(£) Carbon Emissions (CO2/m2) Business as usual Energy & CarbonPerformance Gap Carbon Management Optimisation Time

  13. The big picture Data from HESA EMR.

  14. Carbon Emissions from Energy 5.5% Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years.

  15. Average Carbon Emissions from Energy per m2 Differences in metrics 8.2% Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years.

  16. CRC Participant Performance 9% 2% Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years.

  17. Regional Performance Average Carbon Emissions per Square Metre kgCO2/m2 Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years, of which 26 are in attendance today. Carbon Emissions from Scope 1 & 2

  18. Regional Performance Average Carbon Emissions per FTE Staff + Student tCO2/FTE Staff + Student Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years, of which 26 are in attendance today. Carbon Emissions from Scope 1 & 2

  19. Regional Performance Average Carbon Emissions per £1m Turnover tCO2/£1 million Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years, of which 26 are in attendance today. Carbon Emissions from Scope 1 & 2

  20. Attendees’ Performance Carbon Emissions per m2 Overall Carbon Emissions 5.8% 4.2% Data from HESA EMR. Includes 154 HEIs that have submitted returns for four years, of which 26 are in attendance today.

  21. Evolution of the CMP Static Dynamic & flexible

  22. Evolution of the CMP Dynamic & flexible Scope 1 & 2 only Scope 1,2 & 3

  23. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Absolute Targets Relative Targets

  24. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets HEFCE Controlled University Driven

  25. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets University Driven Isolated Context & Collaborative

  26. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets University Driven Context & Collaborative Technical Technical & Engaging

  27. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets University Driven Context & Collaborative Technical & Engaging Practical Theoretical

  28. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets University Driven Context & Collaborative Technical & Engaging Practical Bespoke Standardised

  29. Evolution of the CMP Dynamic & flexible Scope 1,2 & 3 Relative Targets University Driven Context & Collaborative Technical & Engaging Practical Bespoke

  30. Opportunities & Barriers to High Impact Carbon Management Plans

  31. Opportunities & Barriers What could you achieve with an optimised CMP? • 3 to 5 answers for each question per table

  32. Opportunities & Barriers What could you achieve with an optimised CMP? What is inhibiting your ability to achieve this? • 3 to 5 answers for each question per table

  33. Opportunities & Barriers What could you achieve with an optimised CMP? What is inhibiting your ability to achieve this? • 3 to 5 answers for each question per table • Weight each answer: 1 (not important) to 7 (very important)

  34. Higher Education Panel Session: Ola Bankole Sustainability Manager, Bloomsbury Colleges Group FabiaJeddere-Fisher Energy Engineer, The University of the West of England John Taylor Senior Energy Engineer, Carbon Credentials

  35. FabiaJeddere-Fisher Energy Engineer, The University of the West of England

  36. Aspirations Existing CMP • Originally written in 2006 (Part of Carbon Trust Pilot study) • Latest revision April 2012 (to include Scope 3) • Owner: Energy Manager • Approved by: Head of Facilities Aspirational CMP • Campus specific Annexes to main CMP • Senior-level support to secure financing. • ‘Carbon road-map’ for each campus using MACC.

  37. Engagement • Utilise existing leadership • Get the right timing • Involve the right people

  38. Go beyond Carbon • Outstanding Learning • Ready and Able Graduates • Research with impact • Strategic Partnerships • Green Financial Reporting

  39. Marginal Abatement Cost CurvesHow to interpret a MACC

  40. Higher Education Panel Session: Ola Bankole Sustainability Manager, Bloomsbury Colleges Group FabiaJeddere-Fisher Energy Engineer, The University of the West of England John Taylor Senior Energy Engineer, Carbon Credentials

  41. Masterclass: Measurement

  42. Measurement and Verification (M&V) Masterclass • The focus of this masterclass is to help understand: • The principles of measurement and verification • Why it’s important to the success of your Carbon Management Plan • How to start creating a measurement and verification plan • The data collection requirements for effective measurement and verification • How to decide if measurement and verification is right for you

  43. The Principles of Measurement and Verification M&V involves calculating ‘what would have happened’ without the project Project implementation during Christmas shutdown

  44. The Principles of Measurement and Verification M&V involves calculating ‘what would have happened’ without the project Change in static variable Project implementation during Christmas shutdown

  45. When to apply M&V • IPMVP (International Performance Measurement and Verification Protocol) allows flexibility for all project types • Strategic view • IPMVP option C – measure all parameters and demonstrate overall impact of energy efficiency work • Verify performance every 12 months • Individual project view • IPMVP option A or B isolates a project and defines balance of measurements vs. assumptions • Measurement period can be just a few seconds • Both involve statistical analysis of historical trends and impacts

  46. Measurement and Verification in 5 steps Create a plan • What is the project? • Who is interested in the project performance? • What baseline data is available? • What future events or variables might affect performance? • Value of M&V at this stage • Higher accuracy of calculation • Helps assess value • Clearer understanding of project risks

  47. Measurement and Verification – Data Collection

  48. Measurement and Verification in 5 steps Create a plan Agree plan with stakeholders • Will future finance be dependant on project success? • Will success support engagement? • Balance cost vs. accuracy • Define period and variables • Value of M&V at this stage • Increased transparency – helps with understanding of risk

  49. Measurement and Verification in 5 steps Create a plan Agree plan with stakeholders Implement project(s) • The plan must be agreed prior to implementation • Ensure that the final design and installation includes the necessary monitoring components • Value of M&V at this stage • Keeps focus on energy savings • Reduces risk of poor commissioning

  50. Measurement and Verification in 5 steps Create a plan Agree plan with stakeholders Implement project(s) Monitor measurement • Through the measurement period, ensure all factors are being recorded • Periodically review data flows • Value of M&V at this stage • Keeps focus on energy savings • Provides an early warning of under-performance • Reduced risk of data gaps

More Related