• 0
    • ارسال درخواست
    • حذف همه
    • Industrial Standards
    • Defence Standards
  • درباره ما
  • درخواست موردی
  • فهرست استانداردها
    • Industrial Standards
    • Defence Standards
  • راهنما
  • Login
  • لیست خرید شما 0
    • ارسال درخواست
    • حذف همه
View Item 
  •   YSE
  • Industrial Standards
  • ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • View Item
  •   YSE
  • Industrial Standards
  • ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • View Item
  • All Fields
  • Title(or Doc Num)
  • Organization
  • Year
  • Subject
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Archive

ASHRAE ST-16-010

English -- Control and Optimization of Vapor Compression Systems Using Recursive Estimation

Organization:
ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
Year: 2016

Abstract: Scope: Building operations account for approximately 40% of US energy use and carbon emissions, and vapor compression cycles are the primary method by which refrigeration and airconditioning systems operate. Representing a significant portion of commercial and residential building energy consumption, vapor compression cycles are a target for improvement in efficiency and savings. This paper presents a data-driven approach to find the optimal operating conditions of single- and multievaporator systems to minimize energy consumption while meeting operational requirements such as constant cooling or constant evaporator outlet temperatures. Theproblemliesinthedevelopmentofacontrolarchitecturethat will minimize the energyconsumedwithout requiringanymodels of the system or expensive mass flow sensors. The application of the presented approach improves efficiency and is demonstrated in simulation and on an experimental system.
URI: http://yse.yabesh.ir/std;query=autho162sear79D/handle/yse/233445
Collections :
  • ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
  • Download PDF : (5.171Mb)
  • Show Full MetaData Hide Full MetaData
  • Statistics

    ASHRAE ST-16-010

Show full item record

contributor authorASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
date accessioned2017-10-18T10:59:44Z
date available2017-10-18T10:59:44Z
date copyright2016.01.01
date issued2016
identifier otherLIBQSFAAAAAAAAAA.pdf
identifier urihttp://yse.yabesh.ir/std;query=autho162sear79D/handle/yse/233445
description abstractScope: Building operations account for approximately 40% of US energy use and carbon emissions, and vapor compression cycles are the primary method by which refrigeration and airconditioning systems operate. Representing a significant portion of commercial and residential building energy consumption, vapor compression cycles are a target for improvement in efficiency and savings. This paper presents a data-driven approach to find the optimal operating conditions of single- and multievaporator systems to minimize energy consumption while meeting operational requirements such as constant cooling or constant evaporator outlet temperatures. Theproblemliesinthedevelopmentofacontrolarchitecturethat will minimize the energyconsumedwithout requiringanymodels of the system or expensive mass flow sensors. The application of the presented approach improves efficiency and is demonstrated in simulation and on an experimental system.
languageEnglish
titleASHRAE ST-16-010num
titleEnglish -- Control and Optimization of Vapor Compression Systems Using Recursive Estimationen
typestandard
page13
statusActive
treeASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.:;2016
contenttypefulltext
DSpace software copyright © 2017-2020  DuraSpace
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
yabeshDSpacePersian
 
DSpace software copyright © 2017-2020  DuraSpace
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
yabeshDSpacePersian