> For the complete documentation index, see [llms.txt](https://docs.alphaess.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.alphaess.com/alphaess-app/commercial/profit.md).

# Profit

### Profits

Every kilowatt-hour saved and generated is an investment in the future. The Profits module turns complex energy data into intuitive financial indicators, using dynamically refreshed cards and charts to help you gain real-time insight into the power station’s financial performance.

#### Profits Indicator Analysis

* Total Profits: Measures the overall economic value created by the photovoltaic power station. It is composed of self-consumption profits and feed-in profits, calculated in real time based on the time period you select (day, month, year).
* Self-consumption profits: Represents the savings from avoiding expensive grid electricity and using self-generated green power. The system accurately matches self-consumed energy in different time periods with the corresponding electricity purchase prices to present the most realistic savings statement.
* Selling electricity profits: Records the direct income generated by selling excess electricity back to the grid. By accumulating the amount earned from selling electricity in each time period, every kilowatt-hour fed into the grid is clearly profitable.

#### Profit Distribution Trend

Through the profit stacked bar chart, you can intuitively compare the proportion and changes of each profit item:

* Self-consumption (electricity savings): Visually shows the cost optimization brought by green energy self-sufficiency.
* Selling electricity to the grid (profit): Clearly tracks the contribution of feed-in energy to profits.

<div align="left"><figure><img src="/files/ed70cea775ab385d3890861fda9f74a18a3ef128" alt="" width="375"><figcaption></figcaption></figure></div>

### Utility Tariff Settings

Accurately configuring the “utility tariff” is the prerequisite for profit calculation. Based on the purchase and sale electricity prices you enter, the system will present the most accurate asset report for you.

#### Billing Parameter Definition

* **Maximum Demand Control**: Sets the highest power limit agreed in the grid contract.
* **Time-of-use Tariff Plan**: Supports flexible tariff schemes defined by season. According to local grid requirements, you can divide the year into different monthly periods and configure exclusive billing logic for each period.

<div align="left"><figure><img src="/files/4a47f78fa96c9b381758ace885e764c30dc00e9b" alt="" width="375"><figcaption></figcaption></figure></div>

#### Time Period and Price Configuration

You can finely divide the 24 hours of a day into five levels, and the system will automatically execute accordingly

* Peak/High-peak periods: high-price periods.
* Shoulder/Valley/Deep-valley periods: low-price periods.

> Flexible settings, precise coverage: Each time period can be linked to specific weekdays. Whether it is the production peak on weekdays or the electricity trough on weekends, differentiated management can be achieved.

<div><figure><img src="/files/adac18debbbbaa3766fa07a57ae25bc13c57d498" alt=""><figcaption></figcaption></figure> <figure><img src="/files/1bfc1a647bf2f1f2a0ed8c77752ab1f5b484cfb6" alt=""><figcaption></figcaption></figure> <figure><img src="/files/45529b6779c72c0139e77342c5d6a534eb625846" alt=""><figcaption></figcaption></figure></div>

#### Smart Configuration Validation

To ensure the rigor of the strategy, the system will automatically execute the following protection logic when saving settings:

* Period uniqueness: Seasons and time periods cannot overlap, ensuring that every minute has a unique tariff direction and avoiding logical conflicts.
* Capacity redundancy: Supports up to 120 custom time period settings, enough to handle various complex power dispatch rules around the world.

{% hint style="info" %}
Note: When setting electricity prices, be sure to check the latest rates on the power bill.
{% endhint %}