Zachary Micah Kron

Title: Innovations by Zachary Micah Kron in Building Performance Analysis

Introduction

Zachary Micah Kron is an accomplished inventor based in Somerville, MA (US). He has made significant contributions to the field of building performance analysis through his innovative work at Autodesk, Inc. His expertise lies in utilizing machine learning to enhance energy analysis in buildings.

Latest Patents

Zachary holds a patent for a Building Performance Analysis (BPA) machine. This invention employs machine learning to accelerate building energy analysis. The method and system generate a building operational performance analysis output by creating a synthetic data set that includes a set of 3D building conceptual mass geometries. The process involves identifying geometry types, categorizing them, and algorithmically generating mass geometries using a separate workflow for each category through generative design. Analytical models associated with each mass geometry are created, and simulation results are generated for these models. A surrogate model is trained based on features extracted from the simulation results using machine learning. The machine learning process iteratively determines the set of features based on the measured accuracy of the surrogate model. The geometry input is processed through the surrogate model to produce the building operational performance analysis output, which informs designers about the approximate Energy Use Intensity of the geometry input.

Career Highlights

Zachary's career at Autodesk, Inc. has been marked by his dedication to improving building energy efficiency through innovative technologies. His work has positioned him as a key figure in the intersection of architecture and machine learning.

Collaborations

Zachary collaborates with talented individuals such as Mohammad Rahmani Asl and Varvara Toulkeridou, contributing to a dynamic work environment that fosters innovation.

Conclusion

Zachary Micah Kron's contributions to building performance analysis through his patented innovations exemplify the potential of machine learning in enhancing energy efficiency in architecture. His work continues to influence the field and inspire future advancements.