I am assembling a series of articles intended to become a rubric/framework to help others build a skill set around understanding and developing custom performance curves for use in building energy simulations. The targeted skill set is fundamentally platform-agnostic, but the materials and illustrations presented will be sourced from the software and tools I am most practiced with: eQuest, doe2, and Excel. Certain examples will include materials sourced from real-world manufacturers (with secured permissions) for the sake of clear and relatable examples.
The planned structure for this series is planned as follows:
- Part 1 – Overview
- Part 2 – Key Fundamentals & Foundations
- Part 3 – Define and Understand Inputs Needed
- Part 4 – Gather Required Performance Data
- Part 5 – Create Curve Coefficients from Data
- Part 6 – Test, Review, & Document Your Efforts
A core motivation for providing this material is a long play to enable the kick-starting of a new era in community generated, vetted, and readily shared performance curve data. Personal career opportunities and experience over recent years have convinced me there is exciting and untapped potential for building energy modelers as a community to leverage the sorts of analysis this skillset enables to accomplish bigger and better things we can all benefit from.