Overview
The Strategic Dashboard offers a comprehensive view of your organisation’s carbon emissions performance, combining real-time data with advanced predictive modelling. It tracks your progress relative to reduction targets, provides detailed insights into completed projects, and forecasts future emissions using sophisticated techniques, including Monte Carlo simulations. These simulations analyse potential outcomes based on variables like operational drift, future growth, and project execution effectiveness, helping you pinpoint your likely emissions “landing zone.”
This powerful forecasting capability enables you to assess the effectiveness of your strategies, identify risks and opportunities, and refine your approach in real-time. By integrating historical data, current performance, and probabilistic future projections, the Strategic Dashboard empowers you to take control of your carbon emissions, ensuring you stay on track to meet your sustainability goals and drive meaningful progress toward a more sustainable future.
View Filtering
The navigation on the left-hand-side of the UI allows the dashboard in view to display information related to either:
Global - All Sites
Site Groups - Group of Sites
Site - Specific Site
Chart and Widget Breakdown
Headline Figures
This is a breakdown of the key figures from the dashboard.
Performance as of today
What it displays: This metric shows how your current emissions measure up against your targets, giving you an immediate snapshot of your progress.
Calculation: The sum of Actual Carbon Savings for all Realised Opps as of today - Target as of today
Color-coding:
Red: Emissions are above today's target.
Green: Emissions are below today's target.
Gap to “Target Year” Target (Possible Trajectory)
What it displays: Using the projects you've entered in your Opportunity Register, this chart projects your future emissions. This helps you assess whether your planned actions are sufficient to meet your long-term goals.
Calculation: The Sum of all Opps - Target as of target year
Color-coding:
Red: Emissions are above today's target.
Green: Emissions are below today's target.
Gap to “Target Year” Target (Predicted Emissions)
What it displays: This chart uses Monte Carlo simulations to provide a more detailed prediction of your emissions in your target year. This method considers uncertainties and potential risks to give you a more robust forecast.
Calculation: Predicted Emissions at target year - Target as of target year
Color-coding:
Red: Emissions are above today's target.
Green: Emissions are below today's target.
Opportunity CO2 Performance
What it displays: This figure shows the average effectiveness of your carbon reduction projects, measured as the percentage of emissions saved per opportunity.
Calculation: Average Emissions Savings Achieved for all Opps in the Executed Capex Project table.
Colour Coding:
Red Threshold = < 70%
Amber Threshold = > 70% & < 90%
Green Threshold = > 90%
Carbon Reduction Velocity
What it displays: This metric tracks how quickly you're reducing your carbon emissions. It calculates your rate of emission reduction over the past 12 months (in tonnes of CO2 per year).
Calculation: Sum of all Realised Opportunities "Actual" Carbon Emissions saved for the past 12 months.
Colour Coding:
There are no RAG settings for this HLF.
CO2 Emissions Forecast Chart
This chart provides a visual forecast of your CO2 emissions over time, allowing you to track your progress toward your reduction targets and assess the potential impact of your planned carbon-saving initiatives.
Data Series:
Baseline (Grey): This grey line represents your initial emissions level, as entered in the Glidepath section. The chart includes a count of how many sites are being considered in the output, it only shows the sites with configured Glidepaths.
Target (Green): This green line shows your emissions reduction target, as defined in the Glidepath settings.
Possible Trajectory (Red): This red line uses a Monte Carlo simulation (a method for predicting outcomes with uncertainties) to estimate your emissions at your target year.
Predicted Emissions (Blue): This blue line illustrates your projected annual emissions based on the carbon-saving opportunities currently in your Opportunity Register.
Key Insights
Potential Emissions Gap: The chart highlights the potential gap between your target (green line) and your predicted emissions (blue line). This gap indicates that further action may be needed to achieve your target.
Impact of Opportunities: The difference between the "Possible Trajectory" (red line) and the "Predicted Emissions" (blue line) shows the potential impact of the opportunities in your Opportunity Register. It suggests that these opportunities could contribute significantly to closing the emissions gap.
Using the Chart
By analysing this chart, you can:
Identify potential shortfalls in your current plan.
Assess the effectiveness of your planned opportunities.
Make informed decisions about future emissions reduction strategies.
Track your progress over time and adjust your approach as needed.
Monte Carlo Simulation
This chart displays the results of a Monte Carlo simulation, which is a statistical technique used to estimate the probability of different outcomes. In this case, the simulation predicts your CO2 emissions in the target year (2025), taking into account various uncertainties and potential risks.
Understanding the Chart
Histogram: The chart uses a histogram to display the distribution of predicted emissions. Each bar represents a range of possible emissions values, and the height of the bar indicates the likelihood of that range occurring.
Distribution of Results: The shape of the histogram shows that the predicted emissions are roughly normally distributed, with most of the results clustered around the mean (average).
Range of Outcomes: The x-axis shows the range of predicted emissions in tonnes of CO2. This wide range highlights the inherent uncertainty in predicting future emissions.
Probability of Outcomes: The varying heights of the bars indicate the probability of different emissions levels. The taller bars near the centre of the distribution show that emissions levels close to the mean are more likely.
Mean and Deviation: The chart highlights two key areas of the distribution:
±1 σ (sigma) from the mean (Darker Blue): This represents the range of emissions values that are within 1 standard deviation of the mean. These outcomes are considered more likely.
Beyond ±1 σ (sigma) from the mean (Lighter Blue): This represents the range of emissions values that are more than 1 standard deviation away from the mean. These outcomes are less likely but still possible.
Key Insights
Uncertainty: The Monte Carlo simulation emphasises the uncertainty inherent in predicting future emissions. There is a range of possible outcomes, rather than a single definitive prediction.
Risk Assessment: The chart helps you assess the risk of exceeding your emissions target. By showing the probability of different outcomes, you can better understand the potential consequences of different scenarios.
Decision Making: This information can inform your decision-making process. For example, if the simulation shows a high probability of exceeding your target, you may need to take more aggressive action to reduce emissions.
Using the Chart
This chart provides valuable insights for:
Understanding the range of potential emissions outcomes.
Assessing the likelihood of achieving your emissions reduction targets.
Evaluating the effectiveness of different emissions reduction strategies.
Making informed decisions about your carbon management plan.
Adjusting the Monte Carlo Simulation
You can customise the Monte Carlo simulation to explore different scenarios and refine the outcome of the predicted emissions. To adjust the simulation parameters:
Access the Settings: Click the cogwheel icon in the top right corner of the Monte Carlo Simulation chart widget. This will open the "Configure Burndown and Emissions Reduction Charts Simulation" modal.
Modify Input Variables: The modal allows you to adjust the following variables:
CO2 Emissions Reduction Velocity: Define the potential range for your future rate of emissions reduction.
Opportunity Effectiveness: Set the expected range for the effectiveness of your carbon-saving opportunities.
Operational Drift: Account for potential variations in your operational efficiency that could affect emissions.
Annual Growth: Factor in potential increases in emissions due to business growth or other factors.
Set Probability Ranges: For each variable, provide a "high" and "low" value to define the probability range. The Monte Carlo simulation will randomly sample values within these ranges to generate a distribution of possible outcomes.
Update the Simulation: After adjusting the input values, click "Update" to simulate with the new parameters. The chart will be updated to reflect the revised predictions.
Tips for Using the Modal
Start with Realistic Values: Use historical data and expert knowledge to set realistic probability ranges for each variable.
Experiment with Different Scenarios: Try adjusting the input values to explore different "what-if" scenarios and understand how they might affect your emissions forecast.
Iterate and Refine: Use the Monte Carlo simulation as an ongoing tool to refine your predictions and adapt your emissions reduction strategies as needed.
By adjusting the input variables in this modal, you can gain a deeper understanding of the uncertainties surrounding your emissions forecast and make more informed decisions about your carbon management plan.
Scaled Initiatives
This widget provides a visual overview of the progress of your scaled initiatives – programs designed to drive consistent carbon reduction across multiple sites. It helps you track the adoption and effectiveness of these initiatives across your organisation.
Understanding the Dashboard
Initiative Tiles: Each tile represents a specific scaled initiative, such as "Refrigeration Systems Upgrades" or "ISO 50001 Certification."
Progress Rings: The coloured ring within each tile visually indicates the overall progress of that initiative.
Green: Greater than 80% of the Opportunities for the specific Initiative have been Realised.
Amber: Greater than 50% and less than 80% of the Opportunities for the specific Initiative have been Realised.
Red: 50% or less of the Opportunities for the specific Initiative have been Realised
Opportunity Count: Below each ring, you'll find the number of opportunities linked to that initiative and the number of sites where those opportunities belong to the initiative. For example, "2 Opportunities (2 Sites)" indicates that two opportunities related to this initiative have been created.
Interpreting the Data
Initiative Adoption: The dashboard provides a quick view of which initiatives have been adopted most widely across your sites. Tiles with a higher percentage of green in the progress ring indicate greater adoption.
Implementation Progress: You can gauge the progress of each initiative by looking at the colour of the ring. A green section indicates that more opportunities related to that initiative have been completed.
Site-Specific Information: The opportunity and site count below each tile help you understand where each initiative is being implemented and how many opportunities are associated with it.
Using the Dashboard
This dashboard helps you:
Track the overall progress of your scaled initiatives.
Identify initiatives that are being successfully adopted.
Pinpoint initiatives that may require more attention or support.
Understand how initiatives are being implemented across different sites.
Monitor the effectiveness of your organisation-wide carbon reduction efforts.
Executed CapEx Opportunities Table
This table provides a detailed record of all capital expenditure (CapEx) projects that have been completed to date. It allows you to track the performance of your past carbon reduction initiatives and use this information to inform future predictions and strategies.
Understanding the Table
The table displays the following information for each completed opportunity:
Opportunity Name: The name or brief description of the project.
Site: The location where the project was implemented.
Emissions Savings Achieved: A visual bar chart showing the percentage of emissions saved compared to the original target for that opportunity.
Green: Indicates the achieved emissions savings.
Red: Indicates any shortfall in achieving the targeted emissions savings.
ROI (IRR): The internal rate of return (IRR), a metric used to assess the profitability of an investment.
CapEx: The capital expenditure associated with the project.
Cost/tCO2 Saved: The cost per tonne of CO2 emissions saved by the project.
Interpreting the Data
Project Performance: The "Emissions Savings Achieved" bar chart provides a quick visual indication of how successful each project was in meeting its emissions reduction target.
Financial Performance: The ROI (IRR) and "Cost/tCO2 Saved" columns help you assess the financial viability and efficiency of each project.
Historical Trends: By analysing the data in this table, you can identify trends in project performance, cost-effectiveness, and emissions reduction potential.
Using the Table
This table can be used to:
Track the performance of your completed carbon reduction projects.
Identify successful strategies and areas for improvement.
Benchmark the cost-effectiveness of different types of projects.
Gather data to inform your Monte Carlo simulations and improve the accuracy of your emissions predictions.
Demonstrate the impact of your carbon reduction efforts to stakeholders.