PASE
Info
License Type
Open Source Permissive (MIT)
OS
Linux, MacOS, Windows
Language
Python
User Interface
Command Line Interface (CLI)
About PASE - Python Agrivoltaics Simulation Environment
The Python Agrivoltaics Simulation Environment (PASE) is a specialized software framework developed to model and analyze agrivoltaic systems, which integrate agricultural production with photovoltaic energy generation. PASE enables researchers and practitioners to simulate the performance of these systems, assessing both agricultural yields and photovoltaic outputs under various configurations and environmental conditions.
Purpose and Functionality
PASE's primary goal is to provide a comprehensive tool for evaluating the feasibility and efficiency of agrivoltaic installations. By simulating different scenarios, users can predict how combining crop cultivation with solar panels impacts both energy production and agricultural productivity. This dual analysis supports informed decision-making in the design and implementation of sustainable agrivoltaic systems.
Key Features
- Integrated Simulation Capabilities: Simultaneously model agricultural growth and photovoltaic performance to understand their interactions.
- Customizable Environmental Inputs: Input specific weather data or modify existing datasets to reflect local conditions accurately.
- Flexible System Configuration: Adjust parameters such as panel orientation, spacing, and crop types to explore various system designs.
- Data Export and Visualization: Generate detailed reports and visualizations to interpret simulation results effectively.
- Super-fast: you can model the evolution of a complex system over 30 years in less than 10 minutes.
Applications
PASE is particularly beneficial for:
- Researchers: Studying the interactions between solar energy systems and agricultural practices.
- Farmers and Agronomists: Evaluating the potential benefits of integrating photovoltaic panels into existing farming operations.
- Energy Planners and Policy Makers: Assessing the viability of agrivoltaic systems as part of sustainable energy and land-use strategies.
Authors
