Optimal Design And Economic Analysis Of District Cooling System In Cloud Computing Industrial Park

Energy is the basis for national economic development, with the continuous development of social economy, energy consumption is increasing. Building energy consumption is a major part of the energy consumption of the whole society, and district cooling as an energy saving technology has an effective improvement in building energy which is applying widely. the economic and energy efficiency of district cooling have also been growing concern. Therefore, how to balance the relationship between the economy and energy efficiency has an important significance. Against this background, article select a district cooling project of an cloud computing industrial park in Chongqing, to research the secondary pipe network optimization, system economy and heat economy of the district cooling system.Firstly, analysing the conventional design methods and way of laying of the second pipe network of district cooling system. combined with the operating costs and initial investment to establish the optimization model of secondary pipe. Using enumeration method to write an optimization design process to get the optimization solutions through MATLAB.Analysing the method and the characteristics of district cooling systems and conventional cold source system to establish the model of the cold source system and the distribution system. Writing an energy calculation software to calculate the annual energy consumption by Microsoft Visual Studio.Integrating initial investment, energy costs, management costs and residuals of system by equivalent uniform annual cost. From principles of formulating cold price and the establishment of cold price calculation model, Analysing dynamic payback in different cold price.According to thermodynamic theory, determine calculation methods of the different types of energy exergy, Establishing exergy and energy analysis model of district cooling systems and conventional cold source system to get calculation formula of exergy and energy costs through economic analysis. Using sensitivity analysis method to establish sensitivity analysis model in the uncertainty of the initial investment.Finally, as an example of an cloud computing industrial park in Chongqing, using the above method to validate. Using optimization design method of secondary pipe network, the minimum annual cost is 6.18 million yuan. Comparing to economic flow rate at 2.5m/s and 3m/s by the conventional design methods savings 3.2% and 27.5% respectively; Calculating initial investment, energy costs, management costs and residuals of district cooling systems and conventional air conditioning system, of both systems heat source part of the energy costs, operation and maintenance costs and residual value calculation, the equivalent uniform annual costs are 98.08 million yuan and 102.19 million yuan respectively; By thermodynamic analysis model, the exergy costs under two kinds of cold scheme were 8.323 yuan/kWh and 8.739 yuan/kWh respectively, energy costs were 0.2313yuan/kWh and 0.2428 yuan/kWh respectively; Using sensitivity analysis method when increments of the initial investment of DCS exceed 20%, the district cooling system will lose economic advantages.