Multivariate Analysis of Solar City Economics

J. Byrne, Job Taminiau, K. Kim, Joohee Lee, J. Seo
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Abstract

Previous research suggests that the potential for city‐ scale photovoltaic (PV) applications is substantial across the globe. Successful implementation of “solar city” options will depend on the strategic application of finance mechanisms, solar energy soft cost policies, and other policy tools, as well as the grid price of electricity. Capital markets recently have embraced the roll‐out of new financial instruments, including “green bonds,” which could be incorporated into solar city project design to attract large investments at a low cost. A multivariate analysis method is employed to consider solar city possibilities for six cities: Amsterdam, London, Munich, New York, Seoul, and Tokyo. A Monte Carlo simulation is conducted to capture the probabilistic nature of uncertainties in the parameters and their relative importance to the financial viability of a solar city project. The analysis finds that solar city implementation strategies can be practical under a broad range of circumstances.
太阳城经济的多变量分析
以前的研究表明,城市规模的光伏(PV)应用的潜力在全球范围内是巨大的。“太阳能城市”方案的成功实施将取决于融资机制、太阳能软成本政策和其他政策工具以及电网电价的战略应用。资本市场最近推出了新的金融工具,包括“绿色债券”,可以将其纳入太阳能城市项目设计中,以低成本吸引大量投资。采用多元分析方法来考虑六个城市太阳能城市的可能性:阿姆斯特丹、伦敦、慕尼黑、纽约、首尔和东京。进行蒙特卡罗模拟以捕捉参数不确定性的概率性质及其对太阳能城市项目财务可行性的相对重要性。分析发现,在广泛的情况下,太阳能城市的实施策略是可行的。
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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