【作者】 董聪；

【导师】 黄国和；

【作者基本信息】 华北电力大学 ， 能源环境工程， 2014， 博士

【摘要】 对于我国大中型城市,能源系统管理中的供需矛盾、能源结构不合理、能源分配失调、减排控制不力和能源技术落后等障碍带来了一系列能源、经济、环境和社会问题。而且,数据、报告和相关研究显示,在未来的几十年内,随着社会经济的快速发展,这些问题还有进一步加剧的趋势,从而制约我国城市的可持续发展。由此,需要开展能源与环境系统综合规划,为能源开发与利用、能源结构优化、能源合理调配、环境质量改善和能源技术革新等决策问题提供科学依据。然而,能源与环境系统规划面临诸多挑战。在能源储量及时空分布、能源技术发展、气候变化、环境容量、社会经济规划和国际能源格局等因素的交互作用下,将煤炭、石油和天然气等化石能源以及风能、太阳能和核能等可再生能源,通过能源生产、输配、利用和减排等多级时空调配过程,满足包括工业生产、居民生活、市政、商业、交通等在内的终端需求,从而实现能源、经济、环境和社会综合效益的最大化。其中,系统内部因子多重属性及其多层互动关系呈现出显著的不确定性和动态特征。此外,由于人类认知水平的局限性,致使因素的定量表征具有不确定性和时空异质性。进而,使得以实现能源、经济、环境和社会可持续发展为目标的能源政策分析和战略制定过程异常复杂。传统的能源模型大都缺乏对这些复杂性和不确定性的准确反映,并且国外成熟技术由于对我国具体国情考虑不足而难以适用。因此,本研究以我国大中型城市能源与环境系统管理中的具体问题为目标,从能源、环境、经济和社会系统耦合分析的角度出发,针对多重不确定性、复杂性和动态性等一系列技术难点和挑战,开发一套不确定性能源环境系统优化方法体系,并以北京市和齐齐哈尔市为例,为其能源系统规划及节能减排等决策问题提供了科学依据。具体包括：(1)针对电力系统中电力供需矛盾问题,将极小极大遗憾规划方法与区间规划整合起来,建立不确定性条件下的电力系统规划模型,将电力供需风险定量化,有效权衡电力生产目标与实际需求间的矛盾,产出切实可行的电力规划方案。(2)为处理能源系统中存在的高度不确定性,引入射线区间理论,建立基于模糊射线区间规划方法的能源系统规划模型,该模型可扩宽决策空间,增强系统稳定性,产生更强健的系统结果,提高能源规划的科学性和可行性。(3)在对城市能源系统展开全面分析的基础上,开发不确定条件下的北京与齐齐哈尔市能源系统规划模型。在北京市能源模型中采用区间机会约束规划、模糊规划、违约风险分析、情景分析和能源替代效应,产出可再生能源利用和污染气体减排情景下的能源规划方案。针对齐齐哈尔能源系统的特征,建立基于区间规划、鲁棒优化与贝叶斯预测方法的齐齐哈尔能源模型,不仅提高了模型的稳定性与能源需求预测的准确性,而且可以定量分析经济增长对能源系统的影响,为齐齐哈尔的能源规划提供决策支持。结果显示新开发的不确定性能源系统规划模型,在反映处理系统复杂性和不确定性特征上相较于过去的优化方法有很大创新,增强系统的稳定性和规划结果的可行性.此外,本研究还补充了完全适于我国国情的不确定性能源模型研究,为决策者提供科学有效的经济结构调整、能源优化配置、能源技术组合以及环境污染控制等方面的规划方案。更多还原

【Abstract】 For many Chinese cities, the contradiction of energy supply and demand, unreasonable energy structure, energy misallocation, inadequate pollution reduction control, backward energy technology, and other obstacles in energy system management cause a series of energy, economic, environmental, and social problomes. According to related data, reports, and researches, in the future decades, with the rapid development of soc-economy, these issues will get further exacerbated, which will severely restrict the process of sustainable development in China. Therefore, it needs to conduct the comprehensive planning of energy and environmental system, which can provide scientific basis fbrdeveloping and utilizing energy resources, optimizing energy structure, improving environemtal quality, promoting energy technological innovation, and other decision problems.However, energy and environmental planning systems consist of plenty of complexities. Under the interactions among energy reservesand time-space distribution, energy technology development, climate change, environmental capacity, economic and social planning, and international energy situation, throughthe processes of energy production, transmission and distribution, utilization, pollution reduction,andmulti-level spatio-temporal allocation, the fossil energy (e.g., coal, oil, natural gas, etc) and renewable energy (e.g., wind, solar, and nuclearpower, etc) can satisfy the terminal demands from industry, household, municipal sectors, commerce, and transportation, and finally the comprehensive benefits of energy, economy, environment, and societycan get maximized. The multi-attribute of internal system factors and their mult i-layer interactions present striking uncertain and dynamic features. Moreover, the limitations of human cognitive level lead to uncertainty and spatial and temporal heterogeneity in quantitative expression of system factors. And then, all these challenges complex the processes of energy policy analysis and strategy making. Conventional energy models often cannot actually reflect these complexities and uncertainties, and most maturity models lack the consideration of China’s actual conditions and are difficult to apply.Therefore, aiming atthe specific problems of energy and environmental system management in major Chinese cities, from the perspective of energy-environment-economic system, to solve the technical difficulties and challenges such as multiple uncertainty, complexity, and dynamic, this research would develop a set of inexact energy-environmental system optimization approaches, and then would be applied into the energy andenvironmental planning of Beijing and Qiqihar city, which could provide scientific basis for energy system planning, energy-saving and emission reduction. Specifically, this study can:(1) To address the contradiction of electricity supply and demand, based on the integration of minimax regret programming with interval programming methods, an inexact electric power andenvironmental system planning model would be developed to quantify the risk of electricity supply and demand, which could effectively balance the conflict between electricity pre-target and actual demand, and generate achievable electricity schemes.(2) In order to tackle the high degree of uncertainty in energy-environmental systems, a fuzzy radial interval programming method based energy and environmental system planning model would be developed by introducing radial interval theory, which could expand the decision space, enhance system reliability, generate more robust system solutions, and finally improve the scientificity and feasibility of planning processes.(3) Inexact Beijing and Qiqihar energy-environmental system planning models would be established based on comprehensive systemanalysis. Interval chance-constraint programming, fuzzy programming, constraint-violation analysis, scenario analysis, and energy-substitution effect methods would be integrated into Beijing energy-environmental model, which could analyze and compare energy activities schemes under various scenarios of pollution emissions reduction. According to the specific features of Qiqihar energy-environmental system, Qiqihar energy-environmental model would be developed based on Bayesian interval-parameter robust programming method, which could not only enhance the model reliability and the prediction accuracy of energy demand, but also quantitatively analyze the impact of economic development on energy-environmental system. The obtained solutions could provide decision support for the energy planning of Qiqihar city.The generated results indicate that the developed energy-environmental system planning models under uncertainty have many advantages over the previous optimization approaches, which could improve systems reliability and solutions feasibility. Furthermore, this study complements the inexact energy and environmental model totally suitable for China’s situation, which could provide decision makers with scientific and efficient planning schemes, including economic structure adjustment, optimal energy allocation, energy technology combination, and environmental pollution control.更多还原