Solar Panel Optimization
- Aida M. & Sheida S.
- Jun 3, 2023
- 2 min read
Overview
Exploring Adaptis’ Optimization Tools – Solar panel optimization for cost and carbon payback
Rooftop PV panels reduce a building’s reliance on grid electricity and offset its power demand. Traditional methods of PV installation that focus on maximizing the number of panels on south-facing roofs may not optimize energy production based on roof design and orientation, and accommodate for shading, orientation, and obstructions. To overcome these limitations, Adaptis leverages computational early-stage design, parametric analysis, as well as optimized panel fitting algorithms. This approach helps improve energy production and overcome the limitations of traditional methods. By recognizing that any addition to a building entails embodied carbon, we consider the life cycle and circularity impact of the PV panels while calculating the carbon offset.
Method
While our analysis methodology may differ based on the unique requirements of each project, there are several standard steps that we follow to ensure a comprehensive analysis.
Geometry Generation
The analysis process usually starts with the creation of geometric models of each house type. These models are then tested at different orientations to create a reference database of geometries. The models also account for mutual shading effects in the neighborhood, which can reduce energy generation.
Energy Demand Simulation
Energy demand of buildings are simulated using Adaptis’ energy modeling paltform. During each simulation, data points are collected, including energy usage for heating, cooling, lighting, and equipment.
Energy Model Baseline Assumptions
The energy model baseline assumptions are based on the location of the building being modeled. This is because climate, weather patterns, and other environmental factors can significantly impact the energy consumption and production of a building.
PV Optimization
The PV output of different house types in different orientations is analyzed. A solar simulation is conducted to determine the annual incident radiation on each PV surface. The PV panel performance over an average day is analyzed to determine the best placement and orientation of the panels for optimal energy production. Panels receiving less than a certain threshold of incident radiation, below which PV panels are not economically viable for power generation in a particular location, are excluded from the simulation.
Embodied Carbon Analysis
Embodied carbon emissions of the development and PV panels are estimated using the data provided.
PV Cost Analysis
The cost of PV is determined based on the average cost of solar power in the region, expressed in terms of cost per watt.
Dashboard creation and Feasible Design Option generation:
Adaptis’ dashboard summarizes generated scenarios and data, and presents it in a user-friendly interface to improve the decision-making process for building owners.
Final Remarks
Adaptis’ approach to renewable energy optimization, as demonstrated above showcases the power of computational design and parametric analysis in overcoming the limitations of traditional methods. Adaptis enables building owners and developers to make informed decisions tailored to each project requirement. Interested in what we do? We would love to talk!