發(fā)布時間：2017-12-27 10:01

  本文關(guān)鍵詞：鋼鐵企業(yè)煤氣調(diào)度與粉塵減排的不確定優(yōu)化模型研究　出處：《北京科技大學(xué)》2017年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 節(jié)能減排 煤氣調(diào)度 粉塵減排 不確定性優(yōu)化 鋼鐵企業(yè)

【摘要】：隨著鋼鐵工業(yè)的爆發(fā)式增長,其作為高消耗、高污染的工業(yè)"大戶",能源的消耗與污染排放明顯增加,能源與生產(chǎn)的供求矛盾日益突出。為此,如何實現(xiàn)鋼鐵工業(yè)的節(jié)能、降耗和減排,已經(jīng)成為了迫在眉睫、亟需解決的重要問題。為了實現(xiàn)鋼鐵工業(yè)的節(jié)能、降耗和減排,并且克服確定性優(yōu)化方法在處理鋼鐵企業(yè)副產(chǎn)煤氣優(yōu)化分配問題和大氣污染控制問題時存在的假設(shè)和簡化過多、參數(shù)估計偏差較大、模型結(jié)構(gòu)不合理和計算結(jié)果不準(zhǔn)確等問題,本文基于不確定性優(yōu)化方法理論對鋼鐵企業(yè)的煤氣優(yōu)化調(diào)度方案和粉塵減排控制策略的設(shè)計和實施展開相關(guān)的理論和實踐研究。鋼鐵企業(yè)的煤氣調(diào)度和粉塵減排控制系統(tǒng)的組成要素、結(jié)構(gòu)和框架、以及系統(tǒng)運轉(zhuǎn)模式的準(zhǔn)確識別和表征,是建立副產(chǎn)煤氣優(yōu)化調(diào)度模型和粉塵減排控制管理模型的重要基礎(chǔ)。本文分別以煤氣系統(tǒng)的收益最大化和粉塵減排控制成本最小化為主要的系統(tǒng)目標(biāo),綜合考慮包括儲氣柜容量、用戶需求、經(jīng)濟成本、污染源排放標(biāo)準(zhǔn)和區(qū)域環(huán)境質(zhì)量標(biāo)準(zhǔn)等在內(nèi)的系統(tǒng)約束和邏輯關(guān)系,構(gòu)建包括產(chǎn)氣設(shè)備、用戶、儲氣柜、煤氣發(fā)電系統(tǒng)等組成要素在內(nèi)的鋼鐵企業(yè)副產(chǎn)煤氣優(yōu)化調(diào)度系統(tǒng),以及包括企業(yè)排放源、氣象站、環(huán)境監(jiān)測站、居民區(qū)和污染源削減技術(shù)等不同類型要素在內(nèi)的粉塵減排控制管理系統(tǒng),為后面優(yōu)化模型的建立和決策方案的生成奠定了很好的基礎(chǔ)。副產(chǎn)煤氣屬于寶貴的二次能源,煤氣系統(tǒng)的節(jié)能是鋼鐵企業(yè)節(jié)能的主要部分。為了克服煤氣的生產(chǎn)、運輸、分配和利用方面的數(shù)據(jù)統(tǒng)計和處理工作存在的困難、消除企業(yè)生產(chǎn)計劃的制定、生產(chǎn)工藝的運轉(zhuǎn)情況和調(diào)度人員的主觀意愿等多個因素對煤氣分配系統(tǒng)的影響和避免傳統(tǒng)的確定性優(yōu)化模型與現(xiàn)實情況差距較大,模型的求解結(jié)果存在很大的偏差,生成的煤氣分配方案無法為調(diào)度工作人員提供有效的支持等情況,本文采用包括區(qū)間數(shù)、type-1模糊數(shù)、type-2模糊數(shù)和雙重隨機變量等在內(nèi)的多種類型的不確定性優(yōu)化方法,構(gòu)建兩套反映不確定性條件下的副產(chǎn)煤氣優(yōu)化分配模型,運用模糊機會約束規(guī)劃方法、隨機機會約束規(guī)劃方法和兩階段的區(qū)間交互作用解法等多個求解方法對模型進行求解,制定了儲氣柜和發(fā)電設(shè)備的最佳運行方案,確定了煤氣在系統(tǒng)中各個組成要素的最佳分配量,為企業(yè)節(jié)能方案的設(shè)計和實施提供了很好的決策幫助。鋼鐵企業(yè)周邊的環(huán)境污染問題,特別是鋼鐵企業(yè)排放的粉塵污染問題,已經(jīng)嚴(yán)重影響到了當(dāng)?shù)鼐用竦恼Ｉ?如何有效地解決鋼鐵企業(yè)的粉塵污染問題已經(jīng)成為影響鋼鐵企業(yè)生死存亡的關(guān)鍵問題。本文以唐山市豐潤區(qū)大氣污染防治方案設(shè)計和規(guī)劃為例,以當(dāng)?shù)氐闹饕廴驹翠撹F企業(yè)為研究對象,分別運用區(qū)間隨機魯棒優(yōu)化方法和模糊分式規(guī)劃方法,針對污染控制成本、污染源排放標(biāo)準(zhǔn)和區(qū)域環(huán)境質(zhì)量標(biāo)準(zhǔn)等系統(tǒng)要素表現(xiàn)出來的不確定性特征,將其分別表征為區(qū)間、隨機和模糊在內(nèi)的多種類型的不確定性變量,構(gòu)建了兩套不確定性條件下的區(qū)域粉塵減排控制優(yōu)化模型,完成了區(qū)域粉塵減排擴散模擬條件下的污染控制措施的優(yōu)化設(shè)計,確定了鋼鐵企業(yè)內(nèi)部主要污染源的最佳處理方案,為該地區(qū)大氣環(huán)境管理及地區(qū)規(guī)劃、污染源削減方案的設(shè)計提供了很好的決策支持,提高了大氣管理方案的適應(yīng)度與魯棒性,提升了環(huán)境管理的實際效果與績效水平。
[Abstract]:With the explosive growth of iron and steel industry, its energy consumption and pollution emissions have increased significantly as a "big household" with high consumption and high pollution. The contradiction between supply and demand of energy and production is increasingly prominent. Therefore, how to realize the energy saving, consumption reduction and emission reduction of the iron and steel industry has become an urgent and urgent problem to be solved. In order to realize the iron and steel industry, energy-saving and emission reduction, and overcome the deterministic optimization method in treatment of iron and steel industry by-product gas distribution optimization problems and problems of air pollution control, too many simplifying assumptions and parameter estimation deviation, model structure unreasonable and the calculation result is not accurate, the uncertain optimization theory the iron and steel enterprises gas scheduling scheme and dust emission control strategies and design research and practice based on the relevant. The constituent elements, structure and framework of the gas control and dust reduction control system in iron and steel enterprises and the accurate identification and characterization of the operation mode of the system are the important foundation for establishing the optimal scheduling model of the by-product gas and the emission reduction control management model. In this paper, the gas system of revenue maximization and cost minimization for the dust emission control system target, system constraints and logical relations including gas storage capacity, user demand, economic cost, pollution emission standards and regional environmental quality standards, considering the construction of optimal dispatching system of byproduct gas consists of gas production the user equipment, and storage cabinets, gas power generation systems such as iron and steel enterprises, including enterprises, emission source, meteorological station, residential area and pollution reduction technology of environmental monitoring station, such as different types of dust emission reduction to prime, control and management system, the generation of optimal model and decision for the foundation good. The by-product gas is a valuable two energy, and the energy saving of the gas system is the main part of the energy saving of the iron and steel enterprises. In order to overcome the gas production, transportation, distribution and utilization of statistical data and processing difficulties, eliminate the production plan, the production process of the operation and dispatch personnel's subjective will and other factors on the gas distribution system and avoid the influence of the traditional deterministic optimization model and the reality gap, the solution results there are deviations in gas distribution plan generation to dispatch staff to provide effective support and so on, this paper adopts the uncertainty optimization methods include interval number, fuzzy number, fuzzy number type-1 type-2 and double random variables, the optimal allocation model of byproduct gas construction of two sets of reflection under conditions of uncertainty, interval fuzzy chance constrained programming method, stochastic chance constrained programming method and two stages of interaction The solution of the model is solved by multiple solutions such as solution and so on, and the best operation plan of the gas storage and power generation equipment is worked out. The optimal allocation of each constituent element of the gas in the system is determined, which provides a good decision for the design and implementation of the energy saving plan of the enterprise. The problem of environmental pollution around the iron and steel enterprises, especially the problem of dust pollution emissions from iron and steel enterprises, has seriously affected the normal life of local residents, how to effectively solve the problem of dust pollution in iron and steel enterprises has become a key problem of vital importance in iron and steel enterprises. The air pollution control program design and planning in Fengrun District of Tangshan City as an example, the main pollution source of the local iron and steel enterprises as the research object, using interval stochastic robust optimization method and fuzzy fractional programming method to solve the uncertainty characteristics, pollution control cost, pollution emission standards and regional environmental quality standard system elements displayed, the various types of uncertainty variables were characterized as interval, random and fuzzy, constructs the optimization model of regional dust emission reduction of two sets under uncertainty control, completed area of dust emission reduction diffusion optimization design of pollution control measures under the simulated conditions, the optimum processing scheme of the main pollution source of iron and steel enterprises that provides a good decision support for the planning, design scheme to reduce the pollution of the atmospheric environment and management area,. The adaptability and robustness of the air management scheme have been improved, and the actual effect and performance level of environmental management are improved.
【學(xué)位授予單位】：北京科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：TF083;X757

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