Optimizing Wind Turbine Deployment: A Cost Analysis of Centralized Aggregation versus Decentralized Dispersion for Enhanced Financial Viability

Arfan solai
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Abstract

This study provides a complete cost analysis of two different wind turbine deployment strategies: centralized aggregation in a single location and decentralized dispersion across three locations. The main goal is to analyze the internal rate of return (IRR), a fundamental financial indicator for determining the economic sustainability of each deployment strategy. This research also identifies the most financially advantageous investment opportunity among various competing strategies. The analysis includes a comprehensive computation of annual cash flow forecasts. Furthermore, the analysis involves a detailed calculation of annual cash flow projections, providing a robust foundation for a thorough examination of the financial implications associated with each deployment method. Beyond a mere numerical comparison, this study goes deeper to illuminate the disparities in costs, revenues, and overall economic feasibility that emerge between the centralized and decentralized deployment scenarios. The analysis results underscore the imperative of thoughtful deployment strategies in enhancing the overall profitability of renewable energy projects, recognizing that financial considerations must be carefully weighed alongside technical and environmental factors for a holistic decision-making process in the renewable energy sector.
优化风力涡轮机部署:集中聚合与分散分散的成本分析,提高财务可行性
本研究对两种不同的风力涡轮机部署策略进行了完整的成本分析:在单一地点的集中聚合和在三个地点的分散分散。主要目标是分析内部收益率 (IRR),这是确定每种部署策略经济可持续性的基本财务指标。这项研究还确定了各种竞争战略中最具财务优势的投资机会。分析包括年度现金流预测的综合计算。此外,分析还包括对年度现金流预测的详细计算,为深入研究每种部署方法的相关财务影响奠定了坚实的基础。除了单纯的数字比较,本研究还深入分析了集中式和分散式部署方案在成本、收入和整体经济可行性方面的差异。分析结果强调,在提高可再生能源项目的整体盈利能力时,必须采用深思熟虑的部署战略,同时认识到,在可再生能源领域的整体决策过程中,财务因素必须与技术和环境因素一起得到仔细权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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