“保险政策模型”:评估能源转型中颠覆性技术的另一种方法

Marc Abbott
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引用次数: 0

摘要

从碳氢燃料(石油、煤炭和天然气)到碳中和或零碳燃料的能源转型,正在给企业和市场评估和资助能源转型研发的方式带来必要的变化。从历史上看,石油、煤炭和天然气的研究和开发一直专注于“可持续技术”,即开发技术,专注于降低成本、提高效率、减少环境影响,并在既定产品或商品的生产生命周期中使用更少的能源。可持续技术项目和投资组合具有经过验证的评价和决策方法,通常是规避风险的;例如,使用风险净现值(rNPV)来评估将更高效的发电机纳入成熟的能源系统。随着能源转型,许多技术要么处于非常早期的发展阶段,要么尚未经过理论之外的测试,可以被归类为“颠覆性技术”。颠覆性技术由于其未经证实的性质,其价值主张与可持续技术非常不同,因此传统的评估和决策方法,如rNPV不适用。这种简短的沟通提出了评估和支持颠覆性技术决策的替代解决方案;保险保费模型是在提出代表性保费的情况下开发的,保费范围从非常小(对于多年未被证实的技术,从市场上的重要存在(投资的0.03%)到相当小(1%),对于更成熟的技术,可能在五年内在市场上占有重要地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ‘Insurance Policy Model’: An Alternative Approach to Evaluating Disruptive Technologies in the Energy Transition
The Energy Transition from hydrocarbon fuels (Oil, Coal, and Natural Gas) to carbon neutral or carbon zero fuels are bringing a necessary change in the way companies and markets evaluate and fund research and development (R&D) in the Energy Transition. Historically research and development in oil, coal, and natural gas has been focused on “Sustainable Technology” that is developing technology that focuses on lowering cost, increasing efficiency, reducing environmental impacts, and using less energy in the production life cycle of an established product or commodity. Sustainable technology projects and portfolios have proven evaluation and decision-making methodologies and are generally risk averse; For example, using risked net present value (rNPV) to evaluate incorporating a more efficient generator into a mature energy system.With the Energy Transition many of the technologies are either in the very early stages of development or not yet tested beyond theory and can be classified as “Disruptive Technologies”. Disruptive technologies have by their very nature, as they are unproven, a very different value proposition than sustainable technologies thus traditional evaluation and decision-making methods, such as rNPV are not applicable.This short communication puts forward an alternative solution to evaluating and supporting decision making for disruptive technologies; The Insurance Premium model is developed where representative insurance premiums are proposed, ranging from very small for unproven technology many years from a significant presence in the market (0.03% of investment) to rather small (1%) for more matured technology that may be significant in the market in five years’ time.
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