QUIC Energy is an energy modeling system for urban environments. Our research
group has developed QUIC Energy as a part of a set of GPU-assisted tools with a
common goal of increasing knowledge relating urban organization and design with
environmental concerns. We hypothesize that it is possible to optimize urban or-
ganization, building placement, and material selection minimizing building energy
consumption for heating and cooling, as well as minimizing air pollution exposure.
Our work focuses on the interactions between urban structures and surroundings. Us-
ing this information, we are able to investigate potential strategies for optimization
along a number of variables. With GPU-assisted computations, we are able to rapidly
perform large numbers of simulations for our optimization algorithms. The focus of
QUIC Energy is on energy transfer in urban environments. It accounts for radiant
energy interactions between buildings, a ground layer, participating media including
an atmosphere, airborne particulate, and vegetation, and incoming solar radiation.
It is capable of modeling heat conditions for urban environments, including surface
and volumetric temperatures. QUIC Energy performs its calculations by means of
ray tracing methods implemented using NVIDIA's OptiX and CUDA frameworks for
GPU-assisted computations. GPU based ray tracing allows QUIC Energy to rapidly
model heat and energy
ow in varied environments under a wide range of conditions.
QUIC Energy is part of the Green Environmental Urban Simulations for Sustain-
ability (GEnUSiS) project. The goal behind GEnUSiS is to present a set of tools
which can be used to optimize urban infrastructure along a number of environmen-
tally focused variables. GEnUSiS is being used to study the interactions of green
infrastructure - including parks, green roofs, and environmentally friendly materials
- with urban environments over a wide range of scales.