optimization of cooling load in air cooptimization of cooling load in air conditioning...

OPTIMIZATION OF COOLING LOAD IN AIR CONDITIONING SYSTEM

VIDYAVARDHAKA COLLEGE OF ENGINEERING,

MYSURUDEPARTMENT OF MECHANICAL ENGINEERING

Presented By:Pruthvi Jagadish 4VV12ME066

Under the guidance of:Dr. Sudev L JProfessorDept of Mechanical Engg.VVCE, Mysuru.

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INTRODUCTION• Energy consumption, one of the main

problems in present days for conservation and environment safety.

• This problem is mainly due to energy consumption by industries, buildings and laboratories.

• Around 73% of the total world energy is consumed by industry, residential houses, commercial building, infrastructure and markets.

• In an air-conditioned large building, about 65% of the total energy requirement is allocated for the air‐conditioning plant installed for cooling purpose


DEPARTMENT OF MECHANICAL ENGINEEING, VVCE, MYSURU

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The main objectives of HVAC system design are as follows:

• Control of temperature, humidity, air purity and correct pressurization to avoid contamination.

• Provide comfort and healthy indoor environment.

• Provide special air filtration for removing bacteria, high indoor quality, avoid cross contamination.



OBJECTIVE

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HVAC SYSTEMS• The HVAC system provides the year-round control of

the indoor environment to maintain specified conditions for a certain application.

• The configuration of HVAC system is a schematic design that determines the type, number, arrangement of different components and the operational strategy to meet the building comfort requirements.

• Each component in the configuration is dedicated to perform a certain task of the overall system. However, the design of HVAC system is also driven by a number of different criteria, such as costs, energy consumption, indoor air quality, and thermal comfort.



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CLASSIFICATION OF HVAC SYSTEMS• HVAC systems can be classified in two major

categories, such as conventional and innovative/alternative systems.

• Conventional systems are generally electrical driven and based on CFCs and HCFCs refrigerants.

• In view of increasing energy demands and environmental problems associated with conventional systems, innovative/alternative systems operated with renewable and low grade energy resources are proved as obvious choice for achieving comfort conditions.



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Mostly, HVAC systems are categorized based on the fluid

media used in the thermal distribution system. The four types of such HVAC systems are:

• All-air HVAC systems

• Air-water HVAC systems

• All water HVAC systems

• Refrigerant-based HVAC systems (Unitary systems)



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GENERIC CLASSIFICATIONS OF CENTRALIZED AIR-CONDITIONING SYSTEMS



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PROPOSED SYSTEM• The work has been done to reduce the

cooling coil load by providing the chilled water configuration. The chilled water systems consist of primary HVAC system components, such as chillers, cooling towers and pumps and account for most of the energy use in HVAC systems.

• The optimization of chilled water at the initial design stage can significantly enhance the overall energy saving potential of HVAC systems.



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LAYOUT OF CHILLED WATER SYSTEM



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MODEL DEVELOPMENT• The design parameters of all components specified

according to the specifications of the fan and coil used.

• Each of them are inter connected due to their variation in loads.

• High Loads required high rating Fan and high Coil RD.

• So the design parameter are inter connected. • The weight of rotor coating and the mass of

aluminium foil shall a ratio to ensure nearly equal recovery of both sensible and latent heat over the operating range.

• The rotor made of alternate flat corrugated aluminium foil of uniform width.

• The rotor honeycomb matrix foil should be so wound and adhered as to make a structurally very strong rigid media-not get cracked, deformed etc. due to change of temperature or humidity.



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• The wheel matrix- be only of pure aluminium foil, and not from any material, and follows

a) Quick and efficient uptake of thermal energy b) Sufficient mass for optimum heat transfer c) Maximum sensible heat recovery at a relatively low rotational speed of 20-30 rpm.• The wheel should be Ecosorb 300 (3A) type belonging

to the molecular sieve family. • The desiccant of sufficient mass-coated with non-

masking porous binder adhesive on the aluminium.• By use of wheel the total load will be minimized.

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APPLICATIONS• The optimal supply air temperature and flow rate are

calculated based on the cooling load and ambient dry-bulb temperature profiles. Optimization is performed by using empirically-based models of the air conditioning system components for energy savings. Due to these, optimization have a lot applications in moving towards green automation in commercial buildings, small and medium sized buildings as well.

• Cooling load estimation through computer application can replace tedious and time consuming manual methods. To achieve this computer automation, softwares are developed using “C# dot NET” programming language tool. “C# dot NET” based on the optimization model of cooling loads, is used in this work because of its simplicity and characteristics.



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CONCLUSION• In the current study, an incremental development of the

methodology for chilled water system optimization is proposed. Hence for adopting this procedure the chiller cost of HRW unit will be minimized as well as its operating cost. This procedure was adopted at full load condition of both units. Hence maximum value can be taken for the future reference. Operating chilled water systems at the optimal conditions could result in significant total system power savings amounting up to 33.5% for the considered cases.

• The implemented automated simulation-based optimization approach proved efficient in terms of model development and computational time to find optimal configurations. The methodology represents a step towards the design of software systems which ables to synthesize new and optimal HVAC system configurations. Such development should help the design practitioners to select the optimal system configuration parameters at the initial stage.



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REFERENCES• [1] Amit Dalal, Manmohan Yadav, “Optimization of Cooling Load in Air Conditioning System”,

International Journal of Research in Mechanical Engineering, Volume 4, Issue 1, pg. 12-17, January-February, 2016.

• [2] Muzaffar Ali, “Optimization of Heating, Ventilation, and Air-Conditioning (HVAC) System Configuration, University of engineering and Technology, Taxila, Pg31-34, 2013.

• [3] Andrew Kusiak, Mingyang Li, “Cooling output optimization of an air handling unit”, Elsevier, pg. 901-909, 2010

• [4] LV Ziqiang, Liu Yingjie, “Study on Emporium Airflow Optimization in View of Cooling• Load Distribution Indoor”, International Journal of Smart Home, Vol. 9, Issue 1, pg. 169-176,

2015• [5] R. Parameshwaran, R. Karunakaran, S. Iniyan, Anand A. Samuel “Optimization of Energy

Conservation Potential for VAV Air Conditioning System using Fuzzy based Genetic Algorithm”, World Academy of Science, Engineering and Technology, Vol.2, Issue 1, 2008.

• [6] https://en.m.wikipedia.org/wiki/cooling load temperature difference calculation method.• [7] hhttp://www.airconditioning-systems.com/com/cooling-load.html



https://en.m.wikipedia.org/wiki/cooling

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THANK YOU

optimization of cooling load in air cooptimization of cooling load in air conditioning...

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