Compromise between Investment and Return on Investment for a Small Building based on Economic Model Predicitive Control

Tianyang Liu, Tao Zheng, Baohui Zhang, Romain Bourdais

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

Abstract

One of key problem of Smart Building is to search for return on investment. However, the challenge is that it is an optimization problem where the objective function or some of the constraints are nonlinear. In this paper, building parameters evaluate the passive cost and a simulation scenario including control system based on Economic Model Predictive Control (EMPC) has been developed to evaluate the operation cost. The minimization of electricity cost and comfort factor are two control optimization objectives in the system design. The investment cost and the operation cost utilize grid search (GS) to generate Pareto optimality for multi-objective problem. The acquired solutions are significant for building energy management and residents' comfort in informed decision-making.

Original languageEnglish
Title of host publicationAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1568-1572
Number of pages5
ISBN (Electronic)9781728117225
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 - Xi'an, China
Duration: Oct 21 2019Oct 24 2019

Publication series

NameAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection

Conference

Conference8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Country/TerritoryChina
CityXi'an
Period10/21/1910/24/19

Keywords

  • Economic Model Predictive Control
  • Pareto optimality
  • Smart Building
  • grid search
  • return on investment

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