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Research On Demand Regulation And Optimization Of Building Air Conditioning System Considering Electric Vehicle Power Storage

Posted on:2024-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z P GengFull Text:PDF
GTID:2542307076497814Subject:Civil Engineering and Water Conservancy (Professional Degree)
Abstract/Summary:PDF Full Text Request
With the rapid development of China’s construction industry and the acceleration of urbanization,China’s building energy consumption is rising.Building carbon reduction and consumption reduction has become an important measure to achieve the goal of peak carbon dioxide emissions and carbon neutrality in China.In addition,under the trend of China’s policy encouragement and technological progress,The Application of renewable energy in power generation and energy storage in China’s construction industry is becoming increasingly widespread,and building energy systems have become an important platform for low-carbon transformation of user side energy consumption structure to achieve building energy conservation and emission reduction.At the same time,the demand-side load is flexible and adjustable,and the building energy system can reduce the imbalance between supply and demand by flexibly adjusting the electricity load,and promote the consumption of renewable energy,and achieve efficient utilization of building energy and resource optimization by flexibly adjusting the electricity load.This paper takes office buildings as the research object,and through an optimization strategy that simultaneously coordinates renewable energy,energy storage and flexible demand-side loads in buildings,Considering the charging and discharging behavior of integrated electric vehicles,Optimizing and scheduling the building energy system achieves flexibility in matching supply and demand,promotes the consumption of renewable energy,and effectively improves the economy of the energy system.The main research contents of this paper are as follows:Firstly,a classification study of renewable energy sources,storage and cooling units and various types of loads in the energy system,analyzing their respective operating characteristics,and establishing corresponding mathematical models.A charging model for electric vehicles is also constructed as a basis for the participation of electric vehicles in load regulation.Next,the demand-side flexibility loads are optimally regulated respectively.Based on the modifiability of the air-conditioning load,this paper uses the thermal storage characteristics of the building to establish a virtual energy storage model based on the indoor air heat balance equation.An office building model is established in the building thermal simulation software De ST,and a comparative analysis of the hour-by-hour cooling load under different temperature setting methods shows that active regulation of the air-conditioning load through demand-side management can regulate the building’s electricity demand.Then,in anticipation of a large amount of photovoltaic electricity coming online in the future,the indoor temperature is set according to a dynamic tariff scheme,and the air-conditioning load under different scenarios is compared and analysed.It is found that the air-conditioning load can be regulated without affecting the comfort of the users,and the output of the air-conditioning system can be changed to manage the electricity demand in order to better match the energy supply curve.Based on the dual regulation characteristics of electric vehicles,the factors influencing the charging load of electric vehicles are analysed,and the Monte Carlo method is used to charge electric vehicles in an unordered manner.At the same time,an orderly charging and discharging model for electric vehicles is established to provide a basis for the optimal scheduling of electric vehicles in building energy systems.Finally,in this paper,a collaborative optimised dispatch model for building energy systems is constructed by incorporating PV power systems,storage batteries,cold storage devices and demand-side flexibility loads into a unified dispatch framework.By optimising the dispatching strategy,a study was carried out with the optimization objective of minimising operating costs,and five operating scenarios were designed by considering whether energy storage devices were added to the building energy system or not.When energy storage devices are not considered to be added,and only electric vehicles and air-conditioning loads are considered to participate in the optimal scheduling of the system as flexible controllable loads,the tariff is used to guide the orderly charging and discharging of electric vehicles in office buildings,while the active regulation of air-conditioning loads is completed,so that part of the electricity demand during the peak hours of the office building tariff can be transferred to the low hours of the tariff,and this paper sets the low hours of the working hours tariff scheme,i.e.PV output peak hours,further improving the consumption rate of PV energy.When energy storage devices are added to the system,the demand-side flexible load and the energy storage system can participate in the optimal operation of the building energy system,which can further reduce the total system operating cost,and at the same time play a certain role in regulating the balance of supply and demand of the energy system,thus making the whole energy system more stable and reliable.
Keywords/Search Tags:Building energy systems, air conditioning loads, electric vehicles, co-optimization, photovoltaic consumption
PDF Full Text Request
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