Data for: Incorporating Observed Data into Early Design Energy Models for Life Cycle Cost and Emissions Analysis of Campus Buildings

Published: 23 July 2020| Version 1 | DOI: 10.17632/k5ct82yvsv.1
Contributors:
Gabriel Legorburu,
Amanda Smith

Description

Supplementary Building Energy Templates Include: Student Housing Building Classrooms with Labs Classrooms with Auditoriums Classrooms with Dancehalls Code for Energy model and optimization The Python notebook file may be used to model different buildings similar to the (4) template files. Building size can be adjusted and a local weather file can be input to model different sized buildings in different locations. The Multi-Objective Optimization code can be used to define the Pareto Front using the results from the building energy model. Instructions (Python File): Download the anaconda notebook Download the desired weather file an save it in the 'Documents' folder Download the template files and save it in 'Documents' folder Download the cooling tower Neural Network "Cooling_Tower_NN.h5" and sae it in the 'Documents' folder Run the code. Be sure to have all helper libraries installed

Files