International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 05 | May -2017
p-ISSN: 2395-0072
www.irjet.net
COOLING LOAD ESTIMATION OF A ROOM Prof. Deepak Kumar Yadav1, Aviral Srivastava 2, Ayush Chauhan 3, Gaurang Tripathi4, Ankur Kumar5 1Assistant
Professor, Mechanical Engineering, IMS Engineering College, Ghaziabad, India. Scholar, Department of Mechanical Engineering, IMS Engineering College, Ghaziabad, India. ---------------------------------------------------------------------***-------------------------------------------------------------------2,3,4,5UG
Abstract: Human comfort is the most important
consumption in buildings depends upon the climatic conditions and the performance of heating ventilating and air conditioning (HVAC) systems changes with respect to them , better design in building HVAC applications that take account of the right climatic conditions[4]. It will result in better comfort and more energy efficient buildings. Calculation of thermal load helps us to install accurate air conditioning equipment and air handling unit. It also provides better human comfort and good air flow in AC zone. This project Cooling load estimation for a room is presented by using CLTD method[1].
parameter in present context with enhancement in quality of lifestyle and rising atmospheric temperature. Electrical air conditioning equipment’s are not preferred for large buildings as they consume bulk amount of power and have less life. Central air conditioning provides more reliability in addition to lower maintenance cost. Large buildings such as commercial complex, auditorium, office buildings are equipped with central air conditioning system. Educational and research institutions also requires human comfort with the increment in the population of student community, year after year. The effective design of central air conditioning system provides lower power consumption, lower capital cost and helps in improving aesthetics of a building. This paper gives the results of cooling load evaluated in different climatic conditions by using CLTD method[1] . Calculation of cooling load from items such as people heat gain, lighting heat gain, infiltration and ventilation heat gain can easily be represented on the MS-Excel programme. The programme can be used to calculate cooling load from walls and roofs.
2.EFFECTIVE TEMPERATURE The degree of hotness and coldness felt by humans mainly depends upon the following factors:1. Dry bulb temperature, 2. Relative humidity, 3. Air velocity[1]. The combined effects of the three factors is called effective temperature , which is defined as the index which co-relates the combined effects of air temperature, relative humidity and air velocity on the human body. The practical application of the concept of effective temperature is presented in Fig 1.1 and is known as `Human comfort chart`[1]. This chart is the analysis of research made by involving different kinds of people subjected to wide range of environmental temperature, relative humidity and air movement by the ASHRAE.
The calculated results were compared with standard data given by ASHRAE and CARRIER Fundamental Hand Books, and the results are satisfactory. Key Words: CLTD, Cooling Load, Air conditioning, Human comfort, HVAC.
1.INTRODUCTION In present time there is a problem of ecological imbalance which is due to energy consumption by industries and buildings. 72% of world energy is consumed by infrastructure, industry, commercial buildings, residential houses, and markets. In a large building or complex, which is air‐conditioned, about 60% of the total energy requirement in the building is allocated for the air‐conditioning plant installed to use the cooling purpose. In order to minimize energy consumption we must provide exact amount of cooling and heating load, proper sizing of heat ventilation air conditioning (HVAC) and optimal control of HVAC system[3]. The prime factors which affects the cooling load are external climatic conditions such as outdoor temperature, solar radiations and humidity. Local climatic conditions are also an important parameters for the energy efficiency of buildings because the energy
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All men and women above 40 years of age prefer 0.5 0C higher effective temperature than the person below 40 years of the age[1].
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