參考文獻 |
王京明, 中經院, (1995). 台灣地區住宅與商業部門能源消費調查與研究
王暐晴, (2016).利用WRF/Urban Canopy Model模擬探討台灣北部都市地區之熱島效應
台灣電力公司, (2017). 106年度縣市住商售電資訊, https://www.taipower.com.tw/tc/page.aspx?mid=101
伍见军, 王咏薇, 朱彬, 杜钦, 高阳华, (2013). WRF模式中城市冠层参数化方案在重庆气象环境模拟中的性能比较, 长 江 流 域 资 源 与 环 境Resources and Environment in the Yangtze Basin, 第22卷第12期
凌拯民, 劉秉勳, 陳卿翊, (2009).台灣地區風速機率分佈函數之建立與特性分析, , 科技期刊第18卷科技類第1期頁23-33
許郁卿, (2011). 土地利用型態對地表能量收支與海陸風模擬的影響, 中央大學大氣物理研究所
郭柏巖, (2005). 住宅耗電實測解析與評估系統之研究,成功大學建築研究所
陳美蘭, (2006). 風能評估技術應用與發展現況, 工研院能環所/ 新能源技術組
經濟部能源局, (2018). 再生能源電能躉購費率及其計算公式公告
鄭景木, 林彥廷, 蘇煒年, 黃金城, (2016). 小型風力機之國際應用趨勢及其國內研發技術現況, 台灣能源期刊第三卷第一期第117-126頁
賴美蓉, 曹瑋玲, (2015). 因應台灣風機抗爭事件之課題與對策分析—以中部區域為例, 台灣能源齊開第二卷第一期第99-112頁
Allwine, K.J., Whiteman, C.D., (1985). MELSAR: A mesoscale air quality model for complex terrain: Volume 1--Overview, Technical Description and User′s Guide. Pacific Northwest Laboratory, Richland, Washington.
Arakawa, C., Fleig, O., Iida, M., Shimooka, M., (2005). Numerical approach for noise reduction of wind turbine blade tip with Earth Simulator. Journal of the Earth Simulator, Volume 2, March 2005, 11-33
AWS Scientific, Inc, (1997). Wind resource assessment handbook. National Renewable Energy Laboratory
Barton, J.P., Infield, D.G., (2004). Energy storage and its use with intermittent renewable energy. IEEE transactions on energy conversion, vol. 19, no. 2, june 2004
Blackadar, A. K., (1976). Modeling the nocturnal boundary layer. Preprints of the third symposium on atmospheric turbulence and air quality, Rayleigh, NC, 19-22 October 1976, Amer. Meteor. Soc., Boston, 46-49
Buttler, A.l., Dinkel, F., Franz, S., Spliethoff, H., (2016). Variability of wind and solar power : An assessment of the currentsituation in the European Union based on the year 2014. Energy 106, 147-161.
Carrasco, J.M., Bialasiewicz, J.T., Guisado, R.C.P., León, J.I., (2006). Power-electronic systems for the grid integration of renewable energy sources: A Survey. IEEE transactions on industrial electronics, vol. 53, no. 4, august 2006
Carrillo, C., Cidrás, J., Díaz-Dorado, E., Obando-Montaño, A.F., (2014). An approach to determine the Weibull parameters for wind energy analysis: The case of Galicia (Spain), Energies 2014, 7, 2676-2700
Carta, J.A., Ramírez, P., Velázquez, S., (2009). A review of wind speed probability distributions used in wind energy analysis: case studies in the Canary Islands. Renew Sustain Energy Rev;13:933–55.
Carvalho, D., Rocha A., Gómez-Gesteira M., Santos C., (2012). A sensitivity study of the WRF model in wind simulation for an area of high wind energy. Environmental Modelling & Software 2012;33:23–34.
Carvalho, D., Rocha A., Silva Santos C., Pereira R., (2013). Wind resource modelling in complex terrain using different mesoscale-microscale coupling techniques. Apply Energy;108:493–504.
Chang, T.-J., Wu, Y.-T., Hsu, H.-Y., Chu C.-R., Liao, C.-M., (2003). Assessment of wind characteristics and wind turbine characteristics in Taiwan, Renewable Energy 28 851–871
Chen, F., Kusaka, H., Bornstein, R., Ching, J., Grimmond, C.S.B., Grossman-Clarke, S., Loridan, T., Manning, K.W., Martilli, A., Miao, S., Sailor, D., Salamanca, F.P., Taha, H., Tewari, M., Wang, X., Wyszogrodzki, A.A., Zhang, C., (2011). The Integrated WRF/urban modelling system: Development, Evaluation, and Applications to Urban Environmental Problems, international journal of climatology Int. J. Climatol. 31: 273–288
Counihan J., (1975). Adiabatic atmospheric boundary layers: A review and analysis of data from the period 1880-1972
Deardor, J. W., (1978). Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation. J. Geophys. Res., 83, 1889-1903
Deshmukh, M.K., Deshmukh, S.S., (2008). Modeling of hybriod renewable energy systems. Renewable and Sustainable Energy Reviews 12 (2008) 235–249
Douglas, S. and Kessler, R., (1988). User′s Guide to the Diagnostic Wind Field Model (Version 1.0). Systems Applications, Inc., San Rafael, CA, 48 pp.
Draxl, C., Hahmann ,A.N., Peña, A., Giebel, G., (2014). Evaluating winds and vertical wind shear from Weather Research and Forecasting Model forecasts using seven planetary boundary layer schemes. Wind Energy 2014;17(1):39–55.
Dudhia, J., (1996). A Multi-layer Soil Temerature Model for MM5.
Ðurisic, Z., Mikulovic, J., (2012). A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsP, Renewable Energy 41 407-411
Dvorak, M.J., Archer, C.L., Jacobson, M.Z., (2010). California offshore wind energy potential, Renewable Energy 35 1244–1254
Emery, W.J., Baldwin, D.J., Schlüssel, P., Reynolds, R.W., (2001). Accuracy of in situ sea surface temperatures used to calibrate infrared satellite measurements. Geophysical Research 106, 148-227.
Fang, H.F., (2014).Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago. Renewable Energy 67, 237-241.
Fyrippis, I., Axaopoulos, P.J., Panayiotou, G., (2010). Wind energy potential assessment in Naxos Island, Greece. Applied Energy 87, 577–586.
Godowitch, J.M., Gilliam, R.C., Roselle, S.J., (2015). Investigating the impact on modeled ozone concentrations using meteorological fields from WRF with an updated four–dimensional data assimilation approach, Atmospheric Pollution Research 6 305-311
Goodin, W.R., McRae, G.J., Seinfeld, J.H., (1980). An objective analysis technique for constructing three-dimensional urban scale wind fields. Journal of Applied Meteorology, Volume 19, 98-108.
Heath, M.A., Walshe, J.D., Watson, S.J., (2007). Estimating the potential yield of small building-mounted wind turbines. Wind Energy 10, 271–287.
Hirsch W, Rindelhardt U, Tetzla G. Saxon, (1996). Wind energy resources: comparison of WAsP and KAMM results. In: Proceedings 1996 European Wind Energy Conference, 20±24 May 1996, Goeteborg, Sweden. 1996. p. 604±7.
Islam, M.R., Saidur, R., Rahim, N.A., (2011). Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function. Energy 36, 985–992.
Karthikeya, B.R., Negi, P.S., Srikanth, N., (2016). Wind resource assessment for urban renewable energy application in Singapore, Renewable Energy 87 403-414
Kusaka, H., Chen, F., Tewari, M., Dudhia, J., Gill, D.O., Duda, M.G., Wang, W., Miya, Y. (2012). Numerical simulation of urban heat island effect by the WRF Model with 4-km grid increment: An inter-comparison study between the Urban Canopy model and Slab Model, Journal of the Meteorological Society of Japan, Vol. 90B, pp, 33-45.
Kusaka, H., Kondo, H., Kikegawa, Y., and Kimura, F., (2001). A simple single-layer urban canopy model for atmospheric models: Comparison with multilayer and slab models. Bound.-Layer Meteor., 101, 329–358.
Lee, S.-H., Kim, S.-W, Amgevine, W.M., Bianco L., McKeen, S.A., Senff, C.J., Trainer, M., Tucker, S.C., Zamora, R.J., (2011). Evaluation of urban surface parameterizations in the WRF model using measurements during the Texas Air Quality Study 2006 field campaign, Atmos. Chem. Phys., 11, 2127–2143,
Leloudas, G., Zhu, W.J., Sørensen, J.N., Shen, W.Z., Hjort, S., (2007). Prediction and reduction of noise from a 2.3mw wind turbine. Journal of Physics: Conference Series 75 (2007) 012083. doi:10.1088/1742-6596/75/1/012083
Li, J.H., Guo Z.H., Wang, H.J., (2014). Analysis of wind power assessment based on the WRF Model. Atmospheric and Oceanic Science Letters 7, 126-131.
Li, M., Zhang, Q., Kurokawa, J., Woo, J.H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D., Carmichael, G., (2015). MIX:A mosaic Asian anthropogenic emission inventory for the MICS-Asia and the HTAP projects. Atmospherics Chemistry and Physics 15, 34813-34869
Liao, J., Wang, T., Wang, X., Xie, M., Jiang, Z., Huang, X., Zhu, J., (2014). Impacts of different urban canopy schemes in WRF/Chem on regional climate and air quality in Yangtze River Delta, China, Journal of Atmospheric Research 145-146 226-243
Lin, C.-Y., Chen F., Huang J.C., Chen W.-C., Liou Y.-A., Chen W.-N., and Liu S.-C., (2008). Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan. Atmos. 29 Environ., 42, 5635–5649.
Lin, C.-Y., Su, C.-J, Kusaka H., Akimoto Y, Sheng Y.-F., Huang J.-C., Hsu H.-H., (2016). Impact of an improved WRF urban canopy model on diurnal air temperature simulation over northern Taiwan, Atmos. Chem. Phys., 16, 1809–1822
Liu, M.K., Yocke, M.A., (1980). Siting of wind turbine generators in complex terrain. J.Energy, 4, 10:16
Liu, S.-Y., Ho, Y.-F., (2016). Wind energy applications for Taiwan buildings: What are the challenges and strategies for small wind energy system exploitation? Renewable and Sustainable Energy Reviews 59 39–55
Liu, Y., Bourgeois, A., Warner, T., Swerdlin, S., Hacker, J., (2005): Implementation of observation-nudging based FDDA into WRF for supporting ATEC test operations. 2005 WRF Users Workshop, Boulder, Colorado, June, 2005.
Liu, Y., Chen, F., Warner, T., and Basara, J., (2006). Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma city area during the Joint Urban 2003 Field Project, J. Appl. Meteorol., 45, 912–929
Lu, L., Sun, K., (2014). Wind power evaluation and utilization over a reference high-rise building in urban area, Energy and Buildings 68 339–350
Lu, S.-D., Ho, W.-C., Lu, W.-H., Hu, C.-K., Chen, M.-L., Lien, Y.-S., (2015). A research on the potential energy of offshore wind power and preferable offshore blocks in Taiwan. 中華民國第三十六屆電力工程研討會
Maizi, M., Mohamed, M.H., Dizene, R., Mihoubi, M.C. (2018). Noise Reduction of a Horizontal Wind Turbine Using Different Blade Shapes. Renewable Energy, Volume 117, March 2018, Pages 242-256
Martilli, A., Clappier, A., Rotach, M.W., (2002). An urban surface exchange parameterization for mesoscale models. Bound.-Layer Meteor., 104, 261–304, doi:10.1023/A:1016099921195.
McGowan, J.G., Manwell, J.F., Rogers, A.L., (2002). Wind Energy Explained: Theory, Design and Application.
Mortensen, N.G., Hansen, J.C., Badger, J., Jørgensen, B.H., Hasager, C.B., Paulsen, U.S., Hansen, O.F., Enevoldsen, K., Youssef, L.G., (2006). Wind atlas for Egypt: measurements, micro and mesoscale modelling. In: European Wind Energy Conference EWEC
Nama, P., Nema, R.K., Rangnekar, S., (2009). A current and future state of art development of hybrid energy system using wind and PV-solar: A review. Renewable and Sustainable Energy Reviews 13 (2009) 2096–2103
O′Brien, J.J., (1970). A note on the vertical structure of the eddy exchange coefficient in the planetary boundary layer. J. Atmos. Sci., 27, 1213-1215.
Ozdamar, A., Ozbalta, N., Akin, A., Yildirim, E.D., (2004). An application of a combined wind and solar energy system in Izmir. Renewable and Sustainable Energy Reviews (2004) 1–14
Paz, D. D.-L., Borge, R., Martilli, A., (2016). Assessment of high resolution annual WRF-BEP/CMAQ simulation for the urban area of Madrid (Spain), Atmospheric Environment 144 282-296
Salamanca, F., Martilli, A., Tewari, M., Chen, F., (2011). A Study of the Urban Boundary Layer Using Different Urban Parameterizations and High-Resolution Urban Canopy Parameters with WRF. J. Appl. Meteor. Climatol., 50, 1107–1128.
Schramm, J, Degrazia, F.C., Vilhena, M.T.M.B., Bodmann, B.E., (2016). Comparison of CALMET and WRF/CALMET Coupling for Dispersion of NO2 and SO2 Using CALPUFF Modelling System, American Journal of Environmental Engineering, 6(4A): 50-55
Scire, J.S., Robe, F.R.,(1997). Fine-scale application of the CALMET meteorological model to a complex terrain site. Paper 97-A1313, AWMA 90th Annual Meeting & Exhibition, June 8-13,Toronto, Ontario, Canada.
Simões, T., Estanqueiro, A., (2016).A new methodology for urban wind resource assessment, Renewable Energy 89 598-605
Skamarock, W.C., Klemp, J.B., (2008). A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys. 227, 3465–3485.
Snyder, B., Kaiser, M.J., (2009). Ecological and economic cost-benefit analysis of offshore wind energy
Tursilowati, L., Sumantyo, J.T.S., Kuze, H., Adiningsih, E.S., (2011). The Integrated WRF/Urban Modeling system and its Application to monitoring Urban Heat Island in Jakarta, Indoesia, Journal of Urban and Environmental Engineering, v. 6, n. 1, p01-09
Ucar, A., Figen, B., (2009). Evaluation of wind emergy potential and electricity generation at six location in Turkey, Applied Energy 86 1864–1872
Xie, T., Pejnovic, N., Lees, A.F., Ewing, E., (2008). Wind Energy: A Thorough Examination of Economic Viability
Yim, S.H.L., Fung, J.C.H., Lau, A.K.H., Kot, S.C., (2007). Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system, JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D05106 |