How can photovoltaic + energy storage reduce costs and increase efficiency? Revealing profit models and application scenarios!
Created on 07.21
The advantages of "Photovoltaics + Energy Storage":
One of the application scenarios of "Photovoltaic + Energy Storage": Improve self-consumption rate
The energy storage system stores excess photovoltaic electricity and releases it during peak load times, increasing the proportion of self-consumption.
For example: Through energy storage, the self-consumption ratio can be increased from 50% to 70%.
Recommended devices: Growatt SPH grid-tied and off-grid integrated machine, HPS solar storage integrated machine, PCS bidirectional energy storage inverter, etc., with functions such as flexible switching, peak shaving and valley filling, and off-grid emergency power supply.
Case 1: Jiangsu Industrial Park Photovoltaic Energy Storage Project
Scale: 500kW photovoltaic + 200kWh energy storage
Effect: Increase the self-consumption rate from 45% to 75% through the energy storage system, saving approximately 820,000 yuan in electricity costs annually.
Key Equipment: Using Growatt SPH5000 and off-grid integrated machine, equipped with HPS120 solar storage integrated machine
Case 2: Microgrid Project in a Non-Electric Village in Tibet
Scale: 300kW photovoltaic + 150kWh energy storage
Effect: Achieve stable power supply for 24 hours, with power supply reliability reaching 99.5%
Feature: Uses PCS bidirectional energy storage inverter to achieve seamless switching between off-grid and grid-connected.
“Photovoltaic + Energy Storage” Application Scenario Two: Peak Shaving and Valley Filling
Charge during low electricity price periods and discharge during peak periods to reduce overall electricity costs.
Adjust the power demand curve through the energy storage system to alleviate grid pressure.
Case 3: Energy Storage Project of a Commercial Complex in Zhejiang
Scale: 1MW photovoltaic + 500kWh energy storage
Effect: The annual profit from peak-valley arbitrage is approximately 1.3 million yuan, and the transformer capacity cost is reduced by 40%.
Operating mode: Charging during off-peak hours (0:00-8:00), discharging during peak hours (10:00-12:00, 18:00-22:00)
Case 4: Demand Management Project of a Factory in Guangdong
Scale: 800kW photovoltaic + 300kWh energy storage
Effect: Maximum demand reduced from 1200kW to 850kW, annual savings on basic electricity costs approximately 960,000 yuan.
Control Strategy: Real-time optimization of charging and discharging strategy based on EMS system
New application scenario three: Photovoltaic + Energy Storage Microgrid
Case 5: Hainan Certain Island Microgrid Demonstration Project