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Investment decision-making in clean energy under uncertainties: A real options approach

不確実性下におけるクリーンエネルギー投資の意思決定:リアルオプション・アプローチ (AI 翻訳)

Yihua Li

ジャーナル2018-01-01#エネルギー転換Origin: US経営インパクト: コスト削減対象セクター: power
DOI: 10.31274/etd-180810-6031
原典: https://doi.org/10.31274/etd-180810-6031
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🤖 gxceed AI 要約

日本語

本論文は、不確実性下でのクリーンエネルギー投資をリアルオプション法で評価する。セルロース系バイオ燃料施設の投資タイミング、供給リスクと二重調達の効果、政策不確実性下での石炭火力から天然ガスへの転換投資を分析。政策リスクが投資延期を招き、排出権取引が炭素税より効果的であることを示す。

English

This dissertation applies real options analysis to clean energy investment under uncertainty. It examines optimal timing for cellulosic biofuel facilities, the value of dual sourcing under supply risk, and the impact of policy uncertainty on switching from coal to natural gas. Findings show policy risk delays investment and emission trading is more effective than carbon tax for inducing clean technology adoption.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本のGX投資判断に示唆を与える。特に、政策不確実性が投資タイミングに与える影響や、排出権取引と炭素税の比較は、日本のカーボンプライシング設計や電力市場改革に参考となる。

In the global GX context

Contributes to global literature on clean energy investment under policy and price uncertainty. The comparison of carbon tax vs. emission trading and the treatment of policy risk are relevant for international climate policy design and transition finance.

👥 読者別の含意

🔬研究者:Real options modeling for clean energy investment with policy uncertainty; useful for further research on investment under climate policy.

🏢実務担当者:Insights on investment timing and the value of flexibility in clean energy projects, relevant for project valuation and risk management.

🏛政策担当者:Evidence that emission trading may be more effective than carbon tax in inducing immediate clean technology investment.

📄 Abstract(原文)

International commitments on emission reduction and the deterioration of fossil energy resources have caused more research attention to clean energy production. Getting the optimal investment portfolio in infrastructure for energy supply and consumption is a minimum requirement to enable the transition towards a sustainable energy system. Due to their environmental benefits, advanced biofuel and clean power generation are expected to play an important role in the future in transportation sector and electricity sector, respectively. In this dissertation, a real options approach is adopted for valuating clean technology investment portfolios under uncertainty, exploring managerial insights, and examining policy implications. The dissertation consists three parts discussing problems on clean energy investment.\nBiofuel production investment, motivated by consumption volume mandates in revised Renewable Fuel Standard, is a long-term irreversible investment facing revenue uncertainty given volatile fuel market. Iowa, rich in agricultural residues like corn stover, is a major player in the fulfillment of the cellulosic biofuels mandate. In this first part, we aim to answer the question: Is now a good time for Iowa to start investing in cellulosic biofuels? Using a fast pyrolysis facility as an example, we present a real options approach for valuating the investment of a new technology for producing cellulosic biofuels subject to construction lead time and uncertain fuel price. We conduct a case study, in which the profitability of the project, optimal investment timing, and the impact of project lead time are investigated.\nThe second part extended the previous work by incorporating supply risk and dual sourcing. While corn stover is an abundant source of feedstock for biofuels production in Iowa, there is a potential supply risk due to the following reasons: (1) lack of market; (2) low percentage of farm participation; and (3) yield uncertainty due to the changing weather conditions. The decision maker would consider investing in a land to grow his own feedstock, in addition to the investment of biofuel facility. Land option with the growing of dedicated energy crops has a value-adding effect when operating with the fast pyrolysis facility. And with dual sourcing, the impact from supply uncertainty could be mitigated. A real options approach is used to analyze the optimal investment timing and benefits of the dual sourcing. Risk-aversion has an unexpected effect on investment decision-making, which may cause the investment decision of the value-adding option can be very sensitive to the primary underlying uncertainty, and the immediate action towards land investment can no longer be described with a single fuel price threshold.\nPolicy is deemed as one of the top decisive external factor that impacts the interest of a power producer. All energy projects are prone to policy risk, yet such eventualities are difficult to predict and therefore expensive to insure. In the third part of the study, we extend the uncertainty to the scope of government policy, in addition to considering the critical uncertainty of commodity prices. In this work, we want to examine the timing that an owner of a traditional coal-fired generator adopts in a clean technology when facing two realistic policy uncertainty cases: risk of repealing an existing policy, and risk of a policy change. The investment of a natural gas generator is considered in order to meet the load obligation while maximizing its expected long-run profit with regulated emission-related costs considered. The price uncertainties in electricity, natural gas, and carbon emission, together with policy uncertainty jointly affect profitability and decision-making of the clean technology adoption. A real options approach is applied to investigate the optimal investment decision. The producers are risk avoiding when facing uncertain future policy environment; and this reflects in delaying investment plan and creating a future investment plan that is stubborn to current carbon price. To a risk-neutral price-taking power producer, emission trading is a more effective instrument compared to carbon tax, and shifting from carbon tax to emission permits could more effectively inducing immediate investment in clean technology.

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