Autonomy + Self-Consumption + Grid Hybrid Simulation

This analysis uses a method designed to evaluate energy consumption and its cost over a defined period, segmenting the data into monthly and daily averages.

• Basic data: The total annual energy consumption (kWh) is distributed by month to examine the variability of demand; the associated cost is determined based on a unit purchase rate.
• Temporal breakdown: Monthly and daily averages provide a detailed understanding of consumption fluctuations throughout the year; an average percentage reflects each month's relative contribution to the annual total.
• Purpose: This method helps identify periods of high or low consumption and plan strategies for energy optimization or cost management. Provide a clear and actionable overview of energy consumption to improve the sizing of solar installations or storage systems while keeping energy costs under control.

This analysis is based on a theoretical approach aimed at estimating the financial savings associated with solar energy self-consumption, relying on annual consumption and photovoltaic production data.

Energy consumption breakdown: The total consumption is segmented by time periods (weekdays, weekends, daytime, evening, nighttime) to assess the specific energy needs for each time slot. This approach helps identify daytime consumption, which reflects the potential for self-consumption.

Estimation of self-consumption potential: The solar production estimated by PVGIS is compared with daytime consumption. The coverage percentage indicates the portion of daytime consumption that can be directly supplied by solar energy.

Calculation of financial savings: Self-consumed kWh are valued based on the energy purchase tariff to calculate annual savings.

This analysis provides a quantitative basis for evaluating the financial benefits of self-consumption and optimizing the size of solar installations. This method also helps identify key periods to maximize the use of the energy produced.

This analysis illustrates the hypothesis of energy autonomy for a production site, based on total consumption, self-consumption, and the autonomy provided by the system.

Energy Consumption Estimation: The monthly and daily consumption is calculated to understand the energy needs of the site over a given period.

Self-Consumption Calculation: Locally produced and directly consumed energy (self-consumption) is estimated to assess the share of production used without relying on the grid.

Energy Autonomy: The potential for autonomy (produced and consumed energy on-site) is calculated in kWh for each month, reflecting the system’s ability to reduce grid dependency.

This approach helps measure the level of energy autonomy achieved by the photovoltaic system while identifying the months where self-consumption and autonomy are optimized, thereby enabling decisions to improve overall performance.

This analysis relies on a method for evaluating the performance of batteries with various capacities to estimate their annual energy contribution and suitability to the needs.

Capacity and monthly availability: Battery capacities are compared with the required autonomy each month to assess their energy coverage.

Total annual consumption: The energy provided by each battery over a one-year period is calculated to measure its overall performance.

Optimal usage: Monthly percentages reveal periods when batteries exceed or reach their limits, allowing the determination of whether they are undersized or oversized.

This method aims to properly size batteries to maximize efficiency while avoiding energy waste or insufficient autonomy.

The analysis of battery consumption based on their capacity and monthly energy needs relies on:

• Energy coverage calculation: We evaluate how each battery size meets the monthly needs.
• Annual average: Allows comparing the effectiveness of different capacities over a full year.
• Monthly usage: Identifies periods when the battery reaches its maximum capacity or remains underutilized. This approach helps size the batteries according to real needs, balancing autonomy and resource optimization.

The calculation of a country's carbon footprint allows for:

• Evaluating the total greenhouse gas (GHG) emissions generated by its activities, including industry, transportation, agriculture, and energy consumption.
• Identifying the main sources of emissions to prioritize reduction efforts.
• Taking into account factors such as the carbon footprint of imports and exports to gain a comprehensive overview.
• It is an essential tool for monitoring progress toward climate goals and guiding public policies toward a sustainable transition.

A stacked histogram comparing self-consumption savings to the public grid bill allows to:

• Visualize the proportion of self-consumed energy that contributes to reducing the total bill (indicated at the bottom of each bar).
• Illustrate dependency on the public grid (upper part of the bars) and identify the moments when it is at its maximum.
• Facilitate the analysis of savings achieved through the solar installation as well as the periods during which an improvement (such as adding batteries) could lead to reduced grid-related costs.
• This is an essential chart to demonstrate the financial benefits of a solar system in simple self-consumption.

The calculation of a country's carbon footprint allows for:

• Evaluating the total greenhouse gas (GHG) emissions generated by its activities, including industry, transportation, agriculture, and energy consumption.
• Identifying the main sources of emissions to prioritize reduction efforts.
• Taking into account factors such as the carbon footprint of imports and exports to gain a comprehensive overview.
• It is an essential tool for monitoring progress toward climate goals and guiding public policies toward a sustainable transition.

The calculation of the carbon balance of a solar installation allows to:

• Evaluate the emissions avoided through the production of renewable energy, compared to conventional supply via the grid (often based on fossil fuels).
• Quantify the positive environmental impact, particularly in terms of tons of CO₂ saved throughout the system's lifespan.
• Highlight that each kWh of self-consumed solar energy directly contributes to reducing the household's carbon footprint.
• It is a tangible demonstration of the future solar energy producer's commitment to a more sustainable lifestyle.