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Title: Cost optimization for buildings with hybrid ventilation systems

Abstract

A method including: computing a total cost for a first zone in a building, wherein the total cost is equal to an actual energy cost of the first zone plus a thermal discomfort cost of the first zone; and heuristically optimizing the total cost to identify temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone.

Inventors:
;
Publication Date:
Research Org.:
Siemens Corporation, Iselin, NJ (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1420777
Patent Number(s):
9,892,472
Application Number:
13/763,826
Assignee:
Siemens Corporation (Iselin, NJ) DOEEE
DOE Contract Number:  
EE0003843
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Feb 11
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Ji, Kun, and Lu, Yan. Cost optimization for buildings with hybrid ventilation systems. United States: N. p., 2018. Web.
Ji, Kun, & Lu, Yan. Cost optimization for buildings with hybrid ventilation systems. United States.
Ji, Kun, and Lu, Yan. Tue . "Cost optimization for buildings with hybrid ventilation systems". United States. doi:. https://www.osti.gov/servlets/purl/1420777.
@article{osti_1420777,
title = {Cost optimization for buildings with hybrid ventilation systems},
author = {Ji, Kun and Lu, Yan},
abstractNote = {A method including: computing a total cost for a first zone in a building, wherein the total cost is equal to an actual energy cost of the first zone plus a thermal discomfort cost of the first zone; and heuristically optimizing the total cost to identify temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 13 00:00:00 EST 2018},
month = {Tue Feb 13 00:00:00 EST 2018}
}

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