LCC Analysis for Water Resources of HVAC Cooling Water System

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 106 === In recent years, due to the high-tech development and rapid population growth, the demand for energy and water resources is increasing. The efficiency of HVAC cooling water system is greatly affected by scaling, corrosion and microbial growth. This study tr...

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Bibliographic Details
Main Authors: Yu-Xin Chuang, 莊育信
Other Authors: Kuei-Peng Lee
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/p66nnv
Description
Summary:碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 106 === In recent years, due to the high-tech development and rapid population growth, the demand for energy and water resources is increasing. The efficiency of HVAC cooling water system is greatly affected by scaling, corrosion and microbial growth. This study try to quantify the effect of this and obtain the calculation index of water cost. This study uses the dynamic energy simulation software EnergyPlus to build a local benchmark office building and HVAC system model with local meteorological data, to discuss the energy and water savings for different cooling tower control strategies. In this study, the concept of scaling on the cooling water side have been considered, with different water treatment methods, then using EnergyPlus to simulate the energy consumption caused by scale. Establish a Life-Cycle Cost model to calculate the total annual cost due to scaling, then divided the total annual cost by the total annual cooling capacity (kWh), then obtain a water resource calculation index $/kWh. This study found that, for different energy saving strategies, the cooling tower water leaving temperature control at 22 ° C has the highest energy saving rate of 7.44%. The cooling tower approach temperature control has the highest energy saving rate of 8.55%. For the experimental groups 11 and 35, if the efficiency of the cooling water scale inhibitor improved, the energy consumption of the HVAC system can be reduced. After calculating by the life cycle cost model, both of the unit water cost of the experimental groups 11 and 35 is reduced by $ 0.002 /kWh. For every energy saving strategy, if the condenser is cleaned once every six months, it has the lowest unit cost of $/kWh.