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More and more companies are pursuing significant emission savings, to comply with environmental regulations or other obvious reasons such as cost savings and improved working conditions.

Data insights are vital to measure the impact of sustainability goals. Data also helps to continuously optimize how projects are powered. While gathering data may seem easy, turning your (energy) data, from different systems with different data standards into understandable insights is time-consuming.

To produce these insights, the benefits of clean energy systems compared to fossil energy systems need to be expressed. This is possible with the use of a cutting-edge tool called a ‘fossil digital twin’ that simulates these comparisons with the use of the measured energy profile. In this article, we’ll shed light on the importance and benefits of energy reporting and how this provides users with the insights needed to go net zero.

Optimise: No more over-dimensioned Energy Set-Ups

Understanding one’s energy profile is crucial for optimizing energy setups. By providing a detailed forecast of the energy profile, energy users get valuable insights into their consumption patterns, peak demand and other vital energy usage information.

Armed with this knowledge, users can make informed decisions about energy set-ups and identify areas for improvement. By optimizing based on the energy profile, users maximize efficiency and hence reduce the costs of their energy set-up.

Report: Fuel Savings And Emission Reductions

Skoon’s reporting feature goes beyond mere energy consumption tracking. It delves into the technical specifics, allowing users to accurately report on the benefits of adopting clean mobile energy solutions.

The reports provide detailed information on fuel savings, CO2 emissions reductions, and NOx emissions reductions as defined by the fossil digital twin. By quantifying these metrics, Skoon empowers users to witness the environmental advantages of their sustainable clean energy choices firsthand. This transparency creates accountability and trust, which motivates users to keep coming back.

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The Power of the ‘Fossil Digital Twin’ Model

Available to all Skoon Suite subscribers, Skoon’s software compares the costs and emissions savings of clean energy rentals against conventional energy sources by utilizing a.o. the specific fuel curves of diesel generators, data on the stage, fuel type and more. In essence, the model creates a Fossil Digital Twin, which takes every measured data point of the output load of the battery or hydrogen system is translated into the fuel consumption of that specific diesel generator at that load level.

Beyond reporting: The use of AI Algorithms

The wealth of energy data from clean energy projects is used for more than reporting. Al energy profiles together are used to train AI algorithms. By analyzing historical data and energy profiles, the algorithms identify patterns, optimize resource allocation, and recommend the most suitable clean energy solutions for specific needs.

This process allows Skoon and its users to continuously improve the selection process for new projects, optimizing for costs and carbon reduction.

AI algorithms require time to ‘learn’. They improve with every new datapoint. Therefore, it’s advised to start today and stay ahead of the competition.

With that, AI and the use of reporting tools helps us all to improve access to clean energy, always.

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FAQs about how Skoon helps you understand your savings

  1. What is a fossil digital twin? A fossil digital twin is a cutting-edge tool that Skoon utilizes to simulate and compare clean energy systems with fossil energy systems. It takes the measured energy profile and provides insights into the benefits of adopting clean energy solutions, such as fuel savings and emission reductions.
  2. How can understanding my energy profile optimize energy setups? Understanding your energy profile is crucial for optimizing energy setups. With a detailed forecast of your energy profile, you gain valuable insights into consumption patterns, peak demand, and other vital energy usage information. Armed with this knowledge, you can make informed decisions about energy setups, identify areas for improvement, and maximize efficiency while reducing costs.
  3. What does Skoon’s reporting feature offer beyond energy consumption tracking? Skoon’s reporting feature goes beyond mere energy consumption tracking. It provides detailed information on fuel savings, CO2 emissions reductions, and NOx emissions reductions, as defined by the fossil digital twin. By quantifying these metrics, Skoon empowers users to witness the environmental advantages of their clean energy solutions firsthand, fostering accountability and trust.
  4. How does Skoon’s software compare clean energy rentals against conventional energy sources? Skoon’s software compares the costs and emissions savings of clean energy rentals against conventional energy sources by utilizing specific fuel curves of diesel generators, data on the stage, fuel type, and more. This comparison allows users to make informed decisions about adopting clean energy solutions based on their unique needs and requirements.
  5. How does Skoon leverage AI algorithms for clean energy projects? Skoon utilizes the wealth of energy data from clean energy projects to train AI algorithms. These algorithms analyze historical data and energy profiles to identify patterns, optimize resource allocation, and recommend the most suitable clean energy solutions for specific needs. This integration of AI algorithms and reporting tools helps users access clean energy efficiently while continuously improving the selection process for new projects.

Ready to learn more and gain access to Skoon’s solution? Contact us today!

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