Wind Power Integration and Challenges in Low Wind Zones. A Study Case: Albania

Q3 Engineering
A. Hida, Lorenc Malka, R. Bualoti
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Abstract

High wind performance systems are influenced by many factors such as site wind resources and configuration, technical wind turbine features and many financial conditions. Scenario planning and modelling activities often focus on restricted parameters and numbers to justify wind power plant performance. To better understand possible pathways to scaling up the distributed wind market in Albania, a deep and multidimensional calculations based on Monte Carlo analysis, using RETScreen and wind JEDI model, to assess socio-economic impact as a function of turbine output power, operating and maintenance cost and many other financial inputs by testing different WT (i.e., VESTAS, GAMESA, W2E and NORDEX) with rated power from 3.45 MW up to 4.5MW applied on LCOE, NPV, SPP, equity payback, B-C, after-tax IRR on equity and effects of GHG credits extended at a sensitivity range of ±35% is scientifically performed. From the simulation results LCOE reaches a minimal value of €43.48/MWh, if the debt rate is 99 % and a debt interest rate of 5.0%, a TotCapEx of €828/MW (-35 % less expenditures) indexed as the best scenario. For the base case scenario LCOE results €62.79/MWh, when applying a debt rate of 80% and a TotCapEx of (€1274/MW), while in the worst-case scenario LCOE impart a maximal value of €87.63/MWh if a TotCapEx of €1720/MW (+35 % more expenditures) and a share of 52 % debt rate is applied. Local annual economic impact (m€) during construction period and operating period evaluated in the wind JEDI model result around m€ 89.92 and m€ 23.54, respectively. As a conclusion, wind power plants (WPP), installed in low wind zones (Albania and many other EU countries) would be of interest if an electricity export rate of 110€/MWh, and a GHG credit rate of €50/tCO2 were accepted.
低风区的风电集成与挑战。研究案例:阿尔巴尼亚
高风能系统受许多因素的影响,如现场风资源和配置、风力涡轮机的技术特点以及许多财务条件。情景规划和建模活动通常侧重于限制性参数和数字,以证明风力发电厂的性能。为了更好地了解阿尔巴尼亚扩大分布式风能市场的可能途径,我们使用 RETScreen 和风能 JEDI 模型进行了基于蒙特卡罗分析的深入和多维计算,通过测试不同的 WT(即、VESTAS、GAMESA、W2E 和 NORDEX)的额定功率从 3.45 兆瓦到 4.5 兆瓦,对 LCOE、NPV、SPP、股本投资回收期、B-C、税后股本内部收益率和温室气体信用额度的影响进行了科学的模拟。从模拟结果来看,如果债务率为 99%,债务利率为 5.0%,则 LCOE 的最小值为 43.48 欧元/兆瓦时,最佳方案的总资本支出为 828 欧元/兆瓦时(支出减少 35%)。而在最坏情况下,如果总成本为 1720 欧元/兆瓦(支出增加 35%),债务率为 52%,则 LCOE 的最大值为 87.63 欧元/兆瓦。风能 JEDI 模型评估的建设期和运营期的当地年度经济影响(百万欧元)分别约为 89.92 百万欧元和 23.54 百万欧元。总之,如果接受 110 欧元/兆瓦时的电力输出率和 50 欧元/吨二氧化碳的温室气体抵消率,在低风速地区(阿尔巴尼亚和许多其他欧盟国家)安装的风力发电厂(WPP)将会受到关注。
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来源期刊
WSEAS Transactions on Power Systems
WSEAS Transactions on Power Systems Engineering-Industrial and Manufacturing Engineering
CiteScore
1.10
自引率
0.00%
发文量
36
期刊介绍: WSEAS Transactions on Power Systems publishes original research papers relating to electric power and energy. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with generation, transmission & distribution planning, alternative energy systems, power market, switching and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.
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