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An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems./
作者:	Al Rifaie, Fouad Hasan Zyara.
面頁冊數:	1 online resource (210 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
標題:	Energy. -
電子資源:	click for full text (PQDT)
ISBN:	9780355151664

An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems.
Al Rifaie, Fouad Hasan Zyara.

An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems. - 1 online resource (210 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Abstract Energy costs for running large commercial buildings is an area of concern for business owners across the world. Cooling the building is part of this cost, affected particularly by variable charges for energy consumption during different times of the day. One way to offset these costs is to use Ice Bank energy storage tanks. During the off-peak hours at night, ice is made and stored inside Ice Bank energy storage tanks. This stored ice is then used the next day to cool the buildings. The thermal energy stored in the ice acts like a battery for the building's air-conditioning system. The process uses standard cooling equipment plus an energy storage tank to shift all or a portion of a building's cooling needs to off-peak, nighttime hours.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355151664Subjects--Topical Terms:

784773
Energy.
Index Terms--Genre/Form:

554714
Electronic books.

An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems.
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100 1 $a Al Rifaie, Fouad Hasan Zyara. $3 1182943
245 1 3 $a An Integrated Approach to Optimally Design and Operate Ice Thermal Storage for Typical HVAC Systems.
264 0 $c 2017
300 $a 1 online resource (210 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Adviser: Nabil Nassif.
502 $a Thesis (Ph.D.) $c North Carolina Agricultural and Technical State University $d 2017.
504 $a Includes bibliographical references
520 $a Abstract Energy costs for running large commercial buildings is an area of concern for business owners across the world. Cooling the building is part of this cost, affected particularly by variable charges for energy consumption during different times of the day. One way to offset these costs is to use Ice Bank energy storage tanks. During the off-peak hours at night, ice is made and stored inside Ice Bank energy storage tanks. This stored ice is then used the next day to cool the buildings. The thermal energy stored in the ice acts like a battery for the building's air-conditioning system. The process uses standard cooling equipment plus an energy storage tank to shift all or a portion of a building's cooling needs to off-peak, nighttime hours.
520 $a The advantage of ice thermal storage is that it shifts the time of greatest energy consumption from on-peak to off-peak periods, thereby reducing cooling energy cost. A wholebuilding design and operation processes with multiple integrated systems are used. This study also investigates the optimal design for ice thermal storage and its impact on energy consumption, energy demand, and total energy cost.
520 $a The ultimate objective is to minimize monthly energy costs as well as yearly energy costs by optimizing the design of Ice Thermal Storage (ITS), depending on several variables provided in the modeling equations. An energy simulation model for an entire building, software (eQUESTRTM), and Excel are used to generate the hourly cooling load for both designs for a day and over the course of an entire year. The main variables in this research are: ice thermal storage capacity factor, chiller size factor, summer ice charging time and ice discharge times, and for spring / autumn ice charging and discharge times. Component models are also developed and validated. The developed approach is tested by simulations done for multiple four and six story buildings in several locations across the United States to analyze the impact of ice thermal storage as a major item in minimizing cooling energy costs. The study focuses on optimizing the design and operation of chilled-water central plants using one and multi-objective methods through the Matlab program while using a genetic algorithm technique to optimize the variables when solving for problem minimization. By performing and prioritizing the appropriate actions, the HVAC controller will achieve the function's objective, which provides the lowest energy consumption while maintaining the occupants' comfort.
520 $a The resultant optimal chiller and ice storage sizes with charging/discharging time over the course of the day and the information is used in the prediction models. The best recorded performances between the linear regression, nonlinear regression, and artificial neutral networks are used as a modeling tool for predicting the cooling load of the next day. The artificial neutral networks are computational models based on the biological central nervous system and are trained to predict based upon a set of given input and output data. The prediction model uses the hourly load, wet and dry bulb temperatures, along with the chiller size to find the best charging time for the next day. Designing ice thermal storage properly leads to the proper design of a chilled-water central plant and will minimize energy cost in buildings.
520 $a Results show a significant benefit may obtained when using the ITS, a savings of 36.41% in annual cooling costs (in U.S. dollars, $) in hot, dry, and moderate weather. But no significant savings were suggested in cold weather because the buildings did not need to use the cooling system continually.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Energy. $3 784773
650 4 $a Civil engineering. $3 561339
655 7 $a Electronic books. $2 local $3 554714
690 $a 0791
690 $a 0543
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a North Carolina Agricultural and Technical State University. $b Computational Science and Engineering. $3 1180329
773 0 $t Dissertation Abstracts International $g 79-01B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10285599 $z click for full text (PQDT)