我国风能资源最优化开发研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
全球气候变暖、环境质量恶化、能源耗竭威胁等一系列紧迫的现实问题,促使世界各国不得不高度关注温室气体排放和全球生态保护,发展低碳经济已成为世界范围的共识。风能作为一种无污染、无排放、可再生的清洁能源资源,不仅在电力生产过程中不消耗化石能源、不产生碳排放,而且可以永续利用自然界蕴含的巨量风能资源,是极具战略价值的新能源资源。与太阳能、生物质能等其他可再生能源相比,风能资源的开发技术最为成熟,是最具商业开发前景的可再生能源资源。
     近年来,风能资源的开发己经在世界范围呈现出爆发式增长态势。我国风能资源的开发也已经取得显著成效。除装机容量的突破性增长外,还体现在如下多个方面:决策层对风能资源价值的认识进一步深化,不断出台风电发展规划和风电激励政策;风力发电关键技术取得长足进步,国产风电设备制造企业的竞争力与创新力显著提高;风电市场化进程明显加速,风电比重进一步提高。
     但不可否认,我国风电产业的发展还处于规模扩张的初级阶段,还在不断地摸索风电发展规律和适应我国国情的发展模式。风电快速发展的背后,在风电项目选址、投资规模、风电并网、风电场运营、风电价格等多个环节还存在缺陷或隐患。
     因此,对存在重要缺陷或隐患的风能资源开发环节展开研究,探索风能资源最优化开发,有助于把握风能资源开发各环节的最优解决策略,对于剖析各环节存在的主要问题及其形成原因具有重要作用。本文梳理了风能资源开发的研究进展,分析了我国风能资源开发与风电产业的发展现状,并以资源配置、资源规划等理论为指导,理清了风能资源开发的主要环节、相互关系及存在问题,并考虑了风能资源开发过程中存在的诸多不确定性,选取风能资源开发的宏观选址、风电项目的最优投资规模、风能资源的最优开发路径等重点环节,研究不确定环境下的最优策略。具体研究内容如下:
     (1)研究风能资源储量与电力需求耦合度较差背景下的风电项目最优选址问题。首先,利用GIS技术对风能资源分布图和电力消费区域图进行耦合分析,确定风电项目开发价值较大的若干区域。其次,设计较为完整合理的风电项目选址的指标体系,并通过构建层次分析方法(AHP)与投影寻踪评估法(PPE)的组合模型AHP-PPE对所确定的若干区域的选址价值进行综合评价。
     (2)探讨风速与需求双重随机不确定条件下,风电项目建设的最优投资规模问题。根据风力发电技术公式和多随机不确定性理论,建立了一个以运营期内收益最大化为目标函数,以风电装机规模为决策变量,包含服从Weibull分布的风速因素和服从正态分布的电力需求因素的决策模型。运用风险仿真优化软件RiskOptimizer对决策模型进行仿真模拟和算法寻优,并对比分析了单随机约束因素作用下的仿真结果,探讨了不同随机约束因素对仿真结果的灵敏性。
     (3)分别从发电量、收益、成本三个方面,研究了技术进步、补贴政策和成本控制三种不确定因素对风能资源开发最优路径及其变动的动态影响。首先利用动态思想处理风能资源开发过程,运用最优控制理论建立了风能资源动态开发模型。其次,分别引入不确定变量,构建了动态开发模型最优问题的Hamilton-Jacobi-Bellman方程。最后通过对最优路径及其变动的讨论,研究不确定因素的出现对风能资源开发的影响。
When facing a series of urgent practical problems of global warming, environmental quality degradation, energy depletion threat and etc., countries over the world have to have a high degree of concern about greenhouse gas emissions and global ecological protection and the consensus of the world has been to develop low-carbon economy. Wind energy, as a non-polluting, no-emission, renewable and clean energy resource, not only does not consume fossil fuels and produce carbon emissions in the power production process, but also can make sustainable use of the massive amount of natural wind energy resource. Wind energy, the new energy resource, is of great strategic value. Compared with solar energy, biomass and other renewable energy sources, the development technology of wind energy resource is the most mature and wind energy resource is the most promising renewable energy resource with prospects for commercial development.
     In recent years, the development of wind energy resource has been shown in the explosive worldwide growth. And the development of wind energy resource in China has also achieved remarkable results. Except for the growth in installed capacity, China's wind power development is also reflected in the following aspects: decision-makers'awareness of the value of wind energy resource has been further deepened, continually introducing wind power development plan and wind power incentives; wind power has made great progress in key technologies, with competitiveness and innovation of domestic wind power equipment manufacturing enterprises significantly increased; the process of wind power marketing has been accelerated significantly, further increasing the proportion of wind power.
     However, it is undeniable that China's wind power industry, which is still in the initial stage of scale expansion, is continually exploring the law of wind power development and the development model adapted to China's national conditions, and there are many defects or hazards behind the rapid development of wind power, such as wind power project site planning, investment scale of wind farms, wind power synchronization rate, wind farms Operation, wind power price.
     Therefore, to study the wind energy resource development tache with critical defects or hazards and to explore the wind energy resource development optimization will help to grasp the optimal solution strategy of the various tache of wind energy resource development, and will play an important role in analyzing the main problems in various aspects and their causes. This paper reviews the research progress in the development of wind energy resources, analyzes China's wind energy resource development and wind power industry development, sorts out the main aspects, mutual relations and problems of wind energy resources development under the guide of resource allocation, resource planning and other theories, and takes into account many uncertainties existing in the process of wind energy resource development, by selecting the macro location of wind energy resource development, the optimal wind power project investment scale, the optimal development of wind energy resource and etc., to study the optimal strategies under the uncertainties. Specific research contents are as follows:
     (1) The optimal location problem was studied under the background of poor coupling between wind energy resource reserves with the power needs. First of all, coupling analysis was done on wind energy resource distribution and power consumption maps through GIS technology to determine some regions with more development value on wind power project. Then, more complete and rational index system of wind power project location was designed, and the location value of the determined regions was evaluated by the combined model AHP-PPE.
     (2) The optimal investment scale of wind power project construction was discussed under the doubly stochastic uncertainties of wind speed and power demand. Based on the wind power technology formula and the theory of multiple random uncertainties, a decision model was founded, which consists of wind speed factor subject to Weibull distribution and power demand factor subject to normal distribution, with income maximization during the operating period as the objective function and wind power installed capacity as the decision variable. Simulation and algorithm optimization of the decision model were conducted with the risk simulation and optimization software RiskOptimizer, then the comparative analysis between the above achieved results with the simulation results under the single random constraints was proceeded, and the sensitivity of different random constraints on the simulation results was discussed.
     (3) From three aspects of generating capacity, revenue and costs, the dynamic impact of three uncertainties-technology improvement, subsidies and cost control- on the wind energy resource development was studied. First of all, the process of wind energy resource development was dealt with via dynamic thought, and the dynamic development model of wind energy resource was founded with the use of optimal control theory. Then, Hamilton-Jacobi-Bellman equation of the optimal problem of the dynamic development model was constructed, with uncertain variables introduced. At last, the effect of the emergence of uncertainty on the wind energy resource development was studied through the discussion on the optimal path.
引文
[1]Sesto E. Wind energy in the world:Reality and prospects[J]. Renewable Energy.1999, 16(1-4):888-893.
    [2]Sempreviva A, Barthelmie R, Pryor S. Review of Methodologies for Offshore Wind Resource Assessment in European Seas[J]. Surveys in Geophysics.2008,29(6):471-497.
    [3]Gustavson M. Limits to wind power utilization[J]. Science.1979,204(4388):13.
    [4]薛桁,朱瑞兆,杨振斌,袁春红.中国风能资源贮量估算[J].太阳能学报.2001,(02):167-170.
    [5]Singh S, Bhatti T, Kothari D. A review of wind resource assessment technology[J]. Journal of Energy Engineering.2006,132(1):8-14.
    [6]Lackner MA, Rogers AL, Manwell JF. Uncertainty analysis in wind resource assessment and wind energy production estimation. In:[C] 45th AIAA aerospace sciences meeting and exhibit (ASME Wind Energy Symposium); 2007; Reno, NV; 2007.
    [7]Lackner MA, Rogers AL, Manwell JF. Uncertainty Analysis in MCP-Based Wind Resource Assessment and Energy Production Estimation[J]. Journal of Solar Energy Engineering. 2008,130(3):0310061-03100610.
    [8]Lackner MA, Rogers AL, Manwell JF. The round robin site assessment method:A new approach to wind energy site assessment[J]. Renewable Energy.2008,33(9):2019-2026.
    [9]李自应,王明.云南风能可开发地区风速的韦布尔分布参数及风能特征值研究[J].太阳能学报.1998,19(3):248-253.
    [10]Weisser D. A wind energy analysis of Grenada:an estimation using the 'Weibull' density function[J]. Renewable Energy.2003,28(11):1803-1812.
    [11]吴丰林,方创琳.中国风能资源价值评估与开发阶段划分研究[J].自然资源学报.2009,(08):1412-1421.
    [12]杨振斌,薛桁,桑建国.复杂地形风能资源评估研究初探[J].太阳能学报.2004,25(6):744-749.
    [13]李艳,王元,汤剑平.中国近地层风能资源的时空变化特征[J].南京大学学报:自然科学版.2007,43(3):280-291.
    [14]江东,王建华.空间信息技术支持下的沿海风能资源评价[J].地理科学进展.2004,23(6):41-48.
    [15]黄世成,姜爱军,刘聪,陈兵.江苏省风能资源重新估算与分布研究[J].气象科学.2007,27(4):407-412.
    [16]龚强,于华深,蔺娜,汪宏宇,袁国恩,张运福.辽宁省风能、太阳能资源时空分布特征及其初步区划[J].资源科学.2008,(05):654-661.
    [17]吴丰林,方创琳,蔺雪芹.环渤海地区风能资源开发与大规模非并网风电产业基地建设[J].资源科学.2008,(11):1640-1647.
    [18]Ciaccia G, Doni N, Fontini F. Auctioning wind power sites when environmental quality matters[J]. Energy Policy.2010,38(4):1734-1740.
    [19]Ladenburg J. Stated Public Preferences for On-land and Offshore Wind Power Generation: A Review[J]. Wind Energy.2009,12(2):171-181.
    [20]Herbert GMJ, Iniyan S, Sreevalsan E, Rajapandian S. A review of wind energy technologies[J]. Renewable and Sustainable Energy Reviews.2007,11(6):1117-1145.
    [21]Gaudiosi G. Offshore wind energy in the Mediterranean and other European Seas[J]. Renewable Energy.1994,5(1-4):675-691.
    [22]Gaudiosi G. Offshore wind energy in the world context[J]. Renewable Energy.1996,9(1-4): 899-904.
    [23]Gaudiosi G. Offshore wind energy prospects[J]. Renewable Energy.1999,16(1-4):828-834.
    [24]Alboyaci B, Dursun B. Electricity restructuring in Turkey and the share of wind energy production[J]. Renewable Energy.2008,33(11):2499-2505.
    [25]Zhixin W, Chuanwen J, Qian A, Chengmin W. The key technology of offshore wind farm and its new development in China[J]. Renewable and Sustainable Energy Reviews.2009, 13(1):216-222.
    [26]Lewis GM. High value wind:A method to explore the relationship between wind speed and electricity locational marginal price[J]. Renewable Energy.2008,33(8):1843-1853.
    [27]Toke D, Wolsink M. Wind power deployment outcomes:How can we account for the differences?[J]. Renewable and Sustainable Energy Reviews.2008,12(4):1129-1147.
    [28]张文佳,张永战.中国风电的时空分布特征和发展趋势[J].自然资源学报.2007,(04):585-595.
    [29]张蔷.东北地区风能资源开发与风电产业发展[J].资源科学.2008,(06):896-904.
    [30]Georgilakis P. Technical challenges associated with the integration of wind power into power systems[J]. Renewable and Sustainable Energy Reviews.2008,12(3):852-863.
    [31]顾为东.中国风电产业发展新战略与风电非并网理论[M].北京:化学工业出版社;2006.
    [32]顾为东.大规模非并网风电产业体系研究[J].中国能源.2008,(11):14-17,38.
    [33]方敏,金春鹏,顾为东.大规模非并网风电产业体系图谱研究[J].资源科学.2009,(11):1870-1879.
    [34]李茂勋.中部崛起中的风能资源开发与非并网风电产业发展重点研究[J].资源科学. 2008,(11):1684-1693.
    [35]刘海燕,方创琳,蔺雪芹.西北地区风能资源开发与大规模并网及非并网风电产业基地建设[J].资源科学.2008,(11):1 667-1676.
    [36]祁巍锋.长江三角洲地区风能资源开发与大规模非并网风电产业基地建设[J].资源科学.2008,(11):1648-1657.
    [37]顾为东,周志莹,邱涛.长三角浅海辐射沙洲风能资源开发与非并网风电产业发展研究[J].资源科学.2009,(11):1856-1861.
    [38]鲍超,方创琳.珠江三角洲地区大规模并网与非并网风电产业基地建设[J].资源科学.2008,(11):1658-1666.
    [39]张蔷.新疆大规模并网与非并网风电产业发展思路与对策[J].资源科学.2008,(11):1677-1683.
    [40]方创琳.中国城市化进程中的风能资源开发与非并网风电产业基地空间布局模式[J].资源科学.2008,(11):1602-1611.
    [41]蔺雪芹,方创琳.中国大规模非并网风电与无碳型高耗能氯碱化工产业基地布局研究[J].资源科学.2008,(11):1612-1621.
    [42]李铭,刘贵利,孙心亮.中国大规模非并网风电与海水淡化制氢基地的链合布局[J].资源科学.2008,(11):1632-1639.
    [43]刘晓丽,黄金川.中国大规模非并网风电基地与高耗能有色冶金产业基地链合布局研究[J].资源科学.2008,(11):1621-1631.
    [44]Narayana M. Validation of Wind Resource Assessment Model (WRAM) map of Sri Lanka, using measured data, and evaluation of wind power generation potential in the country[J]. Energy for Sustainable Development.2008,12(1):64-68.
    [45]Berry D. Renewable energy as a natural gas price hedge:the case of wind[J]. Energy Policy. 2005,33(6):799-807.
    [46]Berry D. Innovation and the price of wind energy in the US[J]. Energy Policy.2009,37(11): 4493.4499
    [47]Bolinger M, Wiser R. Wind power price trends in the United States:Struggling to remain competitive in the face of strong growth[J]. Energy Policy.2009,37(3):1061-1071.
    [48]Ibenholt K. Explaining learning curves for wind power[J]. Energy Policy.2002,30(13): 1181-1189.
    [49]Saenz de Miera G, del Rio Gonzalez P, Vizcaino I. Analysing the impact of renewable electricity support schemes on power prices:The case of wind electricity in Spain[J]. Energy Policy.2008,36(9):3345-3359.
    [50]van Kooten GC, Wong L. Economics of wind power when national grids are unreliable[J]. Energy Policy.2010,38(4):1991-1998.
    [51]P. E. Morthorst. Wind power and the conditions at a liberalized power market[J]. Wind Energy.2003,6(3):297-308.
    [52]孙涛,赵海翔,申洪,王伟胜,戴慧珠,杨以涵.全国风电场建设投资构成与分析[J].中国电力.2003,36(4):64-67.
    [53]郑照宁,刘德顺.中国风电投资成本变化预测[J].中国电力.2004,37(7):77-80.
    [54]沈又幸,范艳霞.基于动态成本模型的风电成本敏感性分析[J].电力需求侧管理.2009,(02):15-17,20.
    [55]何寅昊,赵媛.国外风电定价方式比较及其对我国的建议[J].能源研究与利用.2008,(05):48-50.
    [56]王正明,路正南.风电成本构成与运行价值的技术经济分析[J].科学管理研究.2009,(02):51-54.
    [57]王正明,路正南.风电项目投资及其运行的经济性分析[J].可再生能源.2008,(06):21-24.
    [58]王正明,路正南.我国风电上网价格形成机制研究[J].价格理论与实践.2008,(9):54-55.
    [59]Golait N, Kulkarni P. Wind electric power in the world and perspectives of its development in India[J]. Renewable and Sustainable Energy Reviews.2009,13(1):222-236.
    [60]Delarue P, Bouscayrol A, Tounzi A, Guillaud X, Lancigu G. Modelling, control and simulation of an overall wind energy conversion system[J]. Renewable Energy.2003, 28(8):1169-1185.
    [61]Bouscayrol A, Delarue P, Guillaud X. Power strategies for maximum control structure of a wind energy conversion system with a synchronous machine[J]. Renewable Energy.2005, 30(15):2273-2288.
    [62]Lin W-M, Hong C-M, Cheng F-S. Fuzzy neural network output maximization control for sensorless wind energy conversion system[J]. Energy.2010,35(2):592-601.
    [63]Lanzafame R, Messina M. Power curve control in micro wind turbine design[J]. Energy. 2010,35(2):556-561.
    [64]Ladenburg J. Attitudes towards offshore wind farms--The role of beach visits on attitude and demographic and attitude relations[J]. Energy Policy.2010,38(3):1297-1304.
    [65]Aitken M. Wind power and community benefits:Challenges and opportunities[J]. Energy Policy.2010,38(10):6066-6075.
    [66]Aitken M. Why we still don't understand the social aspects of wind power:A critique of key assumptions within the literature[J]. Energy Policy.2010,38(4):1834-1841.
    [67]Liu Y, Kokko A. Wind power in China:Policy and development challenges[J]. Energy Policy.2010,38(10):5520-5529.
    [68]Kunz TH, Arnett EB, Erickson WP, Hoar AR, Johnson GD, Larkin RP, Strickland MD, Thresher RW, Tuttle MD. Ecological impacts of wind energy development on bats: questions, research needs, and hypotheses[J]. Frontiers in Ecology and the Environment. 2007,5(6):315-324.
    [69]Kuvlesky W, Morrison M, Boydston K, Ballard B, Bryant F. Wind energy development and wildlife conservation:Challenges and opportunities[J]. Journal of Wildlife Management. 2007,71(8):2487-2498.
    [70]Kunz T, Cooper B, Erickson W, Larkin R, Mabee T. Assessing impacts of wind-energy development on nocturnally active birds and bats:A guidance document[J]. Journal of Wildlife Management.2007,71(8):2449-2486.
    [71]Soderholm P, Ek K, Pettersson M. Wind power development in Sweden:Global policies and local obstacles[J]. Renewable and Sustainable Energy Reviews.2007,11(3): 365-400.
    [72]Agterbosch S, Vermeulen W. Social barriers in wind power implementation in The Netherlands:Perceptions of wind power entrepreneurs and local civil servants of institutional and social conditions in realizing wind power projects[J]. Renewable and Sustainable Energy Reviews.2007,11(6):1025-1055.
    [73]Agterbosch S, Vermeulen W. The relative importance of social and institutional conditions in the planning of wind power projects[J]. Renewable and Sustainable Energy Reviews. 2009,13(2):393-405.
    [74]Montes G, Martin E. Profitability of wind energy:Short-term risk factors and possible improvements[J]. Renewable and Sustainable Energy Reviews.2007,11(9):2191-2200.
    [75]Munksgaard J, Morthorst PE. Wind power in the Danish liberalised power market——Policy measures, price impact and investor incentives[J]. Energy Policy.2008, 36(10):3940-3947.
    [76]杜谦,郗小林.加快我国风电产业发展的对策建议[J].中国软科学.2001,(10):9-14.
    [77]康传明,高学敏,芮晓明,刘衍平.我国风电产业发展中存在的问题与解决策略[J].中国能源.2006,(06):27-30.
    [78]Peidong Z, Yanli Y, jin S, Yonghong Z, Lisheng W, Xinrong L. Opportunities and challenges for renewable energy policy in China[J]. Renewable and Sustainable Energy Reviews.2009,13(2):439-449.
    [79]Lema A, Ruby K. Between fragmented authoritarianism and policy coordination:Creating a Chinese market for wind energy[J]. Energy Policy.2007,35(7):3879-3890.
    [80]Lema A, Ruby K. Towards a policy model for climate change mitigation:China's experience with wind power development and lessons for developing countries[J]. Energy for Sustainable Development.2006,10(4):5-13.
    [81]Yang M, Nguyen F, De T'Serclaes P, Buchner B. Wind farm investment risks under uncertain CDM benefit in China[J]. Energy Policy.2010,38(3):1436-1447.
    [82]刘景溪.关于风力发电现状及开发利用的鼓励政策[J].税务研究.2008,(8):71-73.
    [83]张伯勇,赵秀生.中国风电CDM项目经济性分析[J].可再生能源.2006,(02).
    [84]于立宏.可耗竭资源与经济增长:理论进展[J].浙江社会科学.2007,(05):179-184.
    [85]Hotelling H. The economics of exhaustible resources[J]. Journal of Political Economy.1931, 39(2):137-175.
    [86]Meadows D, Meadows D, Randers J, Behrens W. The limits to growth:Universe Books New York; 1972.
    [87]Dasgupta P, Heal G. The optimal depletion of exhaustible resources[J]. The Review of Economic Studies.1974:3-28.
    [88]Stiglitz J. Growth with exhaustible natural resources:efficient and optimal growth paths[J]. The Review of Economic Studies.1974:123-137.
    [89]Solow R. Intergenerational equity and exhaustible resources[J]. The Review of Economic Studies.1974,41:29-45.
    [90]Garg P, Sweeney J. Optimal growth with depletable resources[J]. Resources and Energy. 1978,1(1):43-56.
    [91]汪丁丁.资源经济学若干前沿课题[A]//汤敏,茅于轼,现代经济学前沿专题[C].In.北京:商务印书馆;1993.
    [92]Romer P. Increasing returns and long-run growth[J]. The Journal of Political Economy. 1986,94(5):1002-1037.
    [93]Arrow K. The economic implications of learning by doing[J]. The Review of Economic Studies.1962,29(3):155-173.
    [94]Lucas R. On the mechanics of economic development[J]. Journal of monetary economics. 1988,22(1):3-42.
    [95]Romer P. Endogenous technological change[J]. Journal of Political Economy.1990,98(5): 71-102.
    [96]Grossman G, Helpman E. Innovation and growth in the global economy[M]. Cambridge MA:MIT Press; 1993.
    [97]Rasche R, Tatom J. Energy resources and potential GNP[J]. Federal Reserve Bank of St Louis Review.1977,59(6):68-76.
    [98]Robson A. Costly innovation and natural resources[J]. International Economic Review. 1980,21(1):17-30.
    [99]Takayama A. Optimal technical progress with exhaustible resources[J]. Exhaustible Resources, Optimality and Trade.1980:95-110.
    [100]Schou P. A growth model with technological progress and non-renewable resources[M][M]. mimeo:University of Copenhagen; 1996.
    [101]Scholz C, Ziemes G Exhaustible resources, monopolistic competition, and endogenous growth[J]. Environmental and Resource Economics.1999,13(2):169-185.
    [102]王海建.资源环境约束之下的一类内生经济增长模型[J].预测.1999,(04):36-38.
    [103]王海建.资源约束、环境污染与内生经济增长[J].复旦学报(社会科学版).2000,(01):76-80.
    [104]王海建.耗竭性资源管理与人力资本积累内生经济增长[J].管理工程学报.2000,(03):11-13.
    [105]王海建.耗竭性资源、R&D与内生经济增长模型[J].系统工程理论方法应用.1999,(03):38-42.
    [106]彭水军,包群,赖明勇.自然资源耗竭、内生技术进步与经济可持续发展[J].上海经济研究.2005,(03):3-13.
    [107]彭水军,包群.资源约束条件下长期经济增长的动力机制——基于内生增长理论模型的研究[J].财经研究.2006,(06):110-119.
    [108]彭水军.自然资源耗竭与经济可持续增长:基于四部门内生增长模型分析[J].管理工程学报.2007,(04):119-124.
    [109]于渤,黎永亮,迟春洁.考虑能源耗竭、污染治理的经济持续增长内生模型[J].管理科学学报.2006,(04):12-17.
    [110]Holdren J, Daily G, Ehrlich P, eds. The meaning of sustainability:Biogeophysical aspects[A]. Defining and measuring sustainability[M]. Washington, DC:The Biogeophysical foundations; 1995.
    [111]Weinberg A, Goeller H. The Age of Substitutability[J]. Science.1976,191(4228): 683-689.
    [112]Grimaud A, Rouge L. Non-renewable resources and growth with vertical innovations: optimum, equilibrium and economic policies* 1[J]. Journal of Environmental Economics and Management.2003,45(2):433-453.
    [113]Andre FJ, Cerda E. On natural resource substitution[J]. Resources Policy.2005,30(4): 233-246.
    [114]Giuseppe DV. Natural resources dynamics:Exhaustible and renewable resources, and the rate of technical substitution[J]. Resources Policy.2006,31(3):172-182.
    [115]Renshaw EF. Expected welfare gains from peak-load electricity charges[J]. Energy Economics.1980,2(1):37-45.
    [116]Gemmell N. Evaluating the Impacts of Human Capital Stocks and Accumulation on Economic Growth:Some New Evidence[J]. Oxford Bulletin of economics and Statistics. 1996,58(1):9-28.
    [117]Iniyan S, Suganthi L, Samuel AA. Energy models for commercial energy prediction and substitution of renewable energy sources[J]. Energy Policy.2006,34(17):2640-2653.
    [118]Sweeney J, Klavers EK. Sustaining Energy Efficiency for a "Greener" World[J]. Hart Energy.2007,12(3):85-106.
    [119]Bretschger L, Smulders S. Sustainability and substitution of exhaustible natural resources: How resource prices affect long-term R&D-investments[J]. CER-ETH Economics working paper series.2004.
    [120]Kobos PH, Erickson JD, Drennen TE. Technological learning and renewable energy costs: implications for US renewable energy policy[J]. Energy Policy.2006,34(13):1645-1658.
    [121]Simone B, Pulselli RM, Pulselli FM. Models of withdrawing renewable and non-renewable resources based on Odum's energy systems theory and Daly's quasi-sustainability principle[J]. Ecological Modelling.2009,220(16):1926-1930.
    [122]贾小玫,杨永辉.知识资源对自然资源的替代:一个实证分析框架[J].资源科学.2009,(01):171-176.
    [123]曹玉书,尤卓雅.环境保护、能源替代和经济增长——国内外理论研究综述[J].经济理论与经济管理.2010,(06).
    [124]赵丽霞,魏巍贤.能源与经济增长模型研究[J].预测.1998,17(6):32-34.
    [125]王世豪.不平衡增长理论的资源配置效率实证分析[J].经济体制改革.2005,(01).
    [126]郑毓盛,李崇高.中国地方分割的效率损失[J].中国社会科学.2003,(01):64-72.
    [127]方军雄.市场分割与资源配置效率的损害——来自企业并购的证据[J].财经研究.2009,(09):36-47.
    [128]李霞.资源配置中“效率与公平”问题论析[J].经济研究导刊.2009,(35):26-27.
    [129]Page T. Intergenerational justice as opportunity[C]. In:Douglas Mac Lean and Peter G. Brown (eds), Energy and the Future; 1982:38-58.
    [130]Pearce DW, Atkinson GD. Capital theory and the measurement of sustainable development:an indicator of "weak" sustainability[J]. Ecological Economics.1993,8(2): 103-108.
    [131]Weiss EB. Intergenerational fairness and rights of future generations[J]. Intergenerational Justice Review.2002,1(6):24-35.
    [132]国土资源部规划司.矿产资源规划研究[M].北京:地质出版社;2001.
    [133]胡小平.矿产资源经济区划的理论、方法与实践[J].中国地质矿产经济.1998,(07):16-22.
    [134]李忠武,毛欠儒.矿产资源经济区划的理论与方法[J].资源开发与市场.2002,(05): 5-6,64.
    [135]吴巧生,王华.区域矿产资源规划的定位与定向[J].中国人口.资源与环境.2001,(04):45-47.
    [136]成金华,朱蓓.矿产资源规划理论的形成和发展[J].中国人口.资源与环境.2001,(04):42-44.
    [137]熊曼.区域矿产资源规划系统模型研究[D].武汉:中国地质大学;2008.
    [138]郭凤典,吴巧生,胡远群,朱曾汉.矿产资源规划体系研究[J].中国人口.资源与环境.2001,(04):48-50.
    [139]李俊峰.风力12在中国[M].北京:化学工业出版社;2005.
    [140]金菊良,汪淑娟,魏一鸣.动态多指标决策问题的投影寻踪模型[J].中国管理科学.2004,(01):64-67.
    [141]贾德香,程浩忠.电力市场下的电源规划研究综述[J].电力系统及其自动化学报.2007,(05):58-65,118.
    [142]康重庆,杨高峰,夏清.电力需求的不确定性分析[J].电力系统自动化.2005,(17):14-19,39.
    [143]臧宝锋,胡汉辉,庄伟钢.双重随机不确定条件下的一次性容量扩展投资[J].管理科学学报.2007,(03):37-43.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700