本文選題：分布式冷熱聯(lián)供系統(tǒng)　切入點(diǎn)：多能源互補(bǔ)　出處：《華南理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著我國(guó)國(guó)民經(jīng)濟(jì)的高速發(fā)展及人們生活水平的日益改善，我國(guó)對(duì)能源的需求持續(xù)增長(zhǎng)，由此而引起的環(huán)境問(wèn)題也愈發(fā)嚴(yán)重。建筑能耗作為我國(guó)三大“耗能大戶”之一，也呈逐年增長(zhǎng)趨勢(shì)，其中以供暖和制冷最為耗能。在節(jié)能減排和可持續(xù)發(fā)展的大背景下，冷熱聯(lián)供系統(tǒng)因其一次能源利用率高、排污量少等優(yōu)點(diǎn)，被認(rèn)為是一種能同時(shí)有效解決供暖和供冷問(wèn)題的環(huán)保供能方式。本文通過(guò)對(duì)多能源互補(bǔ)與冷熱聯(lián)供系統(tǒng)進(jìn)行有機(jī)結(jié)合，設(shè)計(jì)了一種基于多能源互補(bǔ)的分布式冷熱聯(lián)供系統(tǒng)，，實(shí)現(xiàn)對(duì)于風(fēng)能、太陽(yáng)能、天然氣及電能的綜合利用。 首先，通過(guò)分析冷熱聯(lián)供系統(tǒng)可利用的能源種類，結(jié)合我國(guó)能源開發(fā)利用現(xiàn)狀，確定了系統(tǒng)的能源利用形式。與此同時(shí)，通過(guò)對(duì)系統(tǒng)主要設(shè)備適用性的分析，完成了對(duì)設(shè)備類型的選擇。在充分考慮能源特點(diǎn)及設(shè)備類型的基礎(chǔ)上，分別建立分布式聯(lián)供系統(tǒng)的子系統(tǒng)循環(huán)流程，包括供暖循環(huán)和供冷循環(huán)，最后得出聯(lián)供系統(tǒng)的循環(huán)方案。與傳統(tǒng)的分離供能模式相比，該系統(tǒng)集供暖及供冷于一體，冬季運(yùn)行于供暖模式，而夏季則運(yùn)行于供冷模式。另外，有別于傳統(tǒng)冷熱聯(lián)供系統(tǒng)較為單一的能源利用形式，該系統(tǒng)將考慮多能源互補(bǔ)模式，即綜合利用非可再生能源和可再生能源，以同時(shí)滿足聯(lián)供系統(tǒng)可靠性及可持續(xù)性的要求。 其次，以分布式冷熱聯(lián)供系統(tǒng)為研究對(duì)象，建立了較為完整且詳盡的系統(tǒng)穩(wěn)態(tài)數(shù)學(xué)模型。系統(tǒng)的數(shù)學(xué)模型包括分布式冷熱聯(lián)供站、供水網(wǎng)管及終端負(fù)荷三大部分。其中冷熱聯(lián)供站包括離網(wǎng)型風(fēng)力發(fā)電系統(tǒng)、太陽(yáng)能熱水鍋爐、天然氣熱水鍋爐、電熱水鍋爐、螺桿式制冷機(jī)及LiBr吸收式制冷機(jī)模型；供水網(wǎng)管包括網(wǎng)管壓降及網(wǎng)管溫降模型；終端負(fù)荷包括建筑冷熱負(fù)荷、采暖散熱器及風(fēng)機(jī)盤管模型。 然后，基于所建數(shù)學(xué)模型，本文進(jìn)一步研究了以系統(tǒng)運(yùn)行成本最小化為目標(biāo)的優(yōu)化運(yùn)行策略。為了得到優(yōu)化運(yùn)行策略，文中建立了非線性優(yōu)化模型，包括優(yōu)化目標(biāo)函數(shù)和優(yōu)化約束條件，并利用群搜索優(yōu)化算法（Group Search Optimizer, GSO）進(jìn)行最優(yōu)值的求解�；趦�(yōu)化運(yùn)行策略，系統(tǒng)處于供暖模式時(shí)將實(shí)現(xiàn)對(duì)以下變量的實(shí)時(shí)最優(yōu)控制：天然氣熱水鍋爐出水溫度、電熱水鍋爐出水溫度、循環(huán)水泵流量。而當(dāng)系統(tǒng)處于供冷模式時(shí)，則對(duì)以下變量進(jìn)行實(shí)時(shí)最優(yōu)控制：制冷機(jī)組運(yùn)行臺(tái)數(shù)、太陽(yáng)能熱水鍋爐出水溫度、天然氣熱水鍋爐出水溫度及二次泵冷凍水流量。為了驗(yàn)證系統(tǒng)的模型及優(yōu)化運(yùn)行策略，基于MATLAB的仿真工作已進(jìn)行并完成，包括仿真參數(shù)設(shè)置及仿真結(jié)果分析與討論。仿真結(jié)果充分證明了系統(tǒng)穩(wěn)態(tài)模型的可行性及優(yōu)化運(yùn)行策略的有效性。仿真結(jié)果分析與討論結(jié)果表明，優(yōu)化算法GSO能夠很好地求解非線性優(yōu)化模型，以實(shí)現(xiàn)最優(yōu)值的搜尋。基于非線性優(yōu)化模型的運(yùn)行策略能夠向設(shè)備提供最優(yōu)設(shè)定值，使其運(yùn)行于最佳工況，從而最大限度地減少系統(tǒng)運(yùn)行成本。 最后，為了評(píng)估所設(shè)計(jì)系統(tǒng)的經(jīng)濟(jì)性及能效性，本文從運(yùn)行成本和運(yùn)行一次能耗的角度，對(duì)所設(shè)計(jì)系統(tǒng)與傳統(tǒng)分離供能系統(tǒng)（包括天然氣供暖系統(tǒng)和家用空調(diào)系統(tǒng)）進(jìn)行了比較。比較結(jié)果證實(shí)了所設(shè)計(jì)系統(tǒng)在經(jīng)濟(jì)性及能效性上均有顯著優(yōu)勢(shì)。基于兩種不同供能模式在運(yùn)行成本上的比較結(jié)果，本文進(jìn)一步分析了所設(shè)計(jì)系統(tǒng)的投資可行性，分析結(jié)果表明所設(shè)計(jì)系統(tǒng)具有投資可行性，并且具有較短的投資回收期。
[Abstract]:With the increasing improvement of the living standards of the people and the rapid development of China's national economy, China's demand for energy is growing, environmental problems caused by the increasingly serious. Building energy consumption as one of the three "energy hungry" in China, is also increasing year by year, the heating and cooling energy consumption in the most. The background of energy-saving emission reduction and sustainable development under the combined cooling and heating system because of its high utilization rate of primary energy consumption, less emissions, is considered to be a kind of can effectively solve the problem of environmental protection of the heating and cooling energy supply. In this paper, through the organic combination of multi energy complementary and combined cooling and heating system. The design of a cogeneration system based on distributed and multi energy complementary, for wind, solar, natural gas and electricity utilization.
First of all, through the analysis of combined cooling and heating system can use the type of energy, combined with the present situation of exploitation and utilization of energy resources in China, energy system were determined. At the same time, through the analysis of the main equipment of the suitability of the system, completed the selection of equipment type. Considering the characteristics of energy and equipment types, were established distributed CCHP system circulation process subsystem, including heating and cooling cycle cycle, finally obtains the circulation scheme of the CCHP system. With the traditional separation of supply mode compared to the system of heating and cooling in one winter, running in the heating mode, and the summer run in the cooling mode. In addition, there are different from the traditional cooling and heating system of a single form of energy use, the system will consider the multi energy complementary mode, the comprehensive utilization of non renewable energy and renewable energy, at the same time for full FIFA system The requirements of sex and sustainability.
Secondly, based on the distributed combined cooling and heating system as the research object, established a steady-state mathematical model of the system more complete and detailed. The mathematical model of the system including the distributed combined cooling and heating station, water supply network and terminal load of three. Most of the cooling and heating stations including off-grid wind power system, solar hot water boiler, gas water heater electric boiler, hot water boiler, screw type refrigerating machine and LiBr absorption refrigeration machine model; water supply network management network management network management model including reducing pressure and temperature; the terminal load including building cooling load, heating radiator and fan coil model.
Then, based on the mathematical model, this paper further studies on the optimal operation strategy to minimize the cost of running the system as the goal. In order to get the optimal operation strategy is established in this paper. The nonlinear optimization model, including the optimization of objective function and constraint conditions, and using the group search optimization algorithm (Group Search Optimizer, GSO) was used to solve the optimal value the optimal operation strategy. Based on the system in the heating mode to achieve real-time optimal control of the following variables: natural gas hot water boiler water temperature, electric hot water boiler water temperature, circulating water pump flow. When the system is in a cooling mode, then the real-time optimal control of the following variables: the number of operating refrigeration units, solar energy hot water boiler water temperature, gas hot water boiler water temperature and the two pump chilled water flow. In order to verify the system model and the optimal operation strategy, base The simulation work in MATLAB has been performed, including the simulation parameters and simulation results are analyzed and discussed. Simulation results demonstrate the effectiveness and feasibility of the optimization strategy of system steady-state model. The simulation results are analyzed and discussed. The results show that the GSO algorithm can well solve the nonlinear optimization model, in order to achieve the optimal value the search operation strategy. Nonlinear optimization model can provide the best equipment based on the set values, which run in the best condition, thus minimizing the system cost.
Finally, in order to evaluate the economic design and energy efficiency of the system, this paper from the angle of operation cost and operation time consumption, the system designed with the traditional separation energy supply system (including natural gas heating system and air conditioner system) were compared. The results showed that the designed system has on the economy and energy efficiency of significant advantage. Based on two different energy supply results in the operating cost model, this paper further analyzes the investment feasibility of the design system, the analysis results show that the designed system has the feasibility of investment, and has a shorter payback period.

【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU83;TM61

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本文編號(hào)：1576022