What is the MCC?

The Marginal Cost Curve (MCC) is a visual commonly used across the energy and environmental sectors to describe the costs associated with reducing the amount of greenhouse gas emissions from energy production. It is a useful visual for both carbon traders and economists when undertaking scenario modelling and evaluating the carbon price. Additionally government organisations, water corporations and power companies will use the MCC to help guide decision-making for future investments into different energy production technologies, and working toward being carbon neutral or carbon zero. It will provide an excellent layer of insight when included on your Power BI reports alongside financial, energy efficiency and emissions datasets.

Want to use it at a discounted price on your projects..?

We are proud to offer a 50% discount on the MCC Visual price to educational institutions and not-for-profit organisations.

Get in touch with the DiscoverEI team to learn how we can work together to visualise your environmental data!

Take it for a Test Drive!

Take a look at our sample interactive dashboard to review the functionality.

What You’ll Get:

• PBIVIZ File: Power BI custom visual file for the MCC (version 1.0.0.4).

• Ability to contact the team for complementary sample Power BI report and dataset to show you how to configure and use the visual in your report

Please note that as we provide an automatic email with the custom visual immediately after payment, we can not provide refunds once payment has been made. If you have any questions about the visual or would like to enquire about potential discounts for not-for-profit organisations, please do so prior to purchase. The limitations for uncertified Power BI custom visuals apply to the MCC and should be considered prior to purchase, including export to PDF.

Privacy statement: Please note that this visual's code does not collect your data. Data is accessed for display purposes only

Frequently Asked Questions:

• Is the visual certified?

  • No the visual is uncertified and as such the end user should be aware of the standard limitations associated with uncertified visuals:, including inability to export to PDF

• How secure is the data that is visualized – i.e. can you confirm that any data loaded into the visual is not tracked, or sent to any third party systems outside of our network, including to yourselves?

  • This visual’s code does not collect your data. Data is accessed for display purposes only. The data used in the visual is secured within Power BI. It is only used within the current report page to generate the MCC visualisation and is not used for any other purpose. Although the MCC is not a certified visual, no data is sent to services outside your Power BI tenant

Want to learn more, take it for a test-drive or interested in customisations for your datasets?

Then get in touch with the DiscoverEI team today!

Licence Conditions:

The purchase of the MCC.pbiviz is for exclusive use by the End User organisation. This contract prohibits the End User from distributing the MCC.pbiviz to any third parties, including sharing of Power BI PBIX files that contain the MCC.pbiviz. By purchasing the MCC.pbiviz, you acknowledge that you have read, and do hereby accept the terms and conditions contained within the end user licence agreement. Please ensure that you have read and accept these conditions in full prior to purchasing the visual.

Have an idea for your own custom visual?

Do you have a great idea for your own Enviro Power BI custom visual? Then please get in touch with our team today! DiscoverEI is always on the lookout for new and exciting ways to visualise environmental data - so if your visual is relating to the environmental industry, please get in touch - we’d love to work together!

New to Power BI?

The DiscoverEI team are Microsoft Certified Trainers (MCT) and Microsoft Most Valuable Professionals (MVPs) and have a range of Power BI training courses tailored for the environmental industry - perfect for beginners to intermediate skill levels.