An MILP model for optimal management of energy consumption and comfort in smart buildings

Jerson A. Pinzon, Pedro P. Vergara, Luiz C.P. Da Silva, Marcos J. Rider

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

This paper presents a new mixed integer linear programing (MILP) model for the management of energy consumption and comfort in smart buildings. Initially, a detailed mixed integer non-linear programming (MINLP) model is formulated. The approach considers the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS). Then, a set of linear and equivalent representations are used to approximate the problem by an MILP model. The aims of the proposed model is to minimize the electricity bill by managing the loads, as well as the schedule of the ESS, meanwhile comfortable indoor conditions are ensured by a set of mathematical constraints. A commercial MILP solver was used to guarantee optimality. The strategy was tested in an university building with multiple zones. Comparisons between the proposed MILP model and simulations in EnergyPlus were used to validate the results.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781538628904
DOIs
Publication statusPublished - 26 Oct 2017
Externally publishedYes
Event7th IEEE (PES) Innovative Smart Grid Technologies Conference (ISGT 2017) - Washington, United States
Duration: 23 Apr 201726 Apr 2017

Conference

Conference7th IEEE (PES) Innovative Smart Grid Technologies Conference (ISGT 2017)
Country/TerritoryUnited States
CityWashington
Period23/04/1726/04/17

Fingerprint

Dive into the research topics of 'An MILP model for optimal management of energy consumption and comfort in smart buildings'. Together they form a unique fingerprint.

Cite this