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Browsing by Author "Iverson, Terrence, advisor"

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    An option value analysis of hydraulic fracturing
    (Colorado State University. Libraries, 2017) Hess, Joshua H., author; Iverson, Terrence, advisor; Cutler, Harvey, committee member; Weiler, Stephan, committee member; Manning, Dale, committee member
    Many uncertain public policy decisions with sunk costs can be optimally timed leading policymakers to delay implementing a policy despite positive expected net present value. One salient example of this is hydraulic fracturing (fracking), a recently developed oil and gas extraction technology, that has increased fossil fuel reserves in the US. However, many municipalities have seen fit to ban its use despite seemingly positive expected net benefits. We hypothesize that an option value framework that values the ability to delay and learn about an uncertain project may explain fracking bans in practice where the neoclassical net present value rule does not. We test this by developing a stochastic dynamic learning model parameterized with a computable general equilibrium (CGE) model that calculates the value of learning about uncertainty over damages and uncertainty over benefits. Applying the model to a representative Colorado municipality, we quantify the quasi-option values (QOV), which create an additional incentive to ban fracking temporarily in order to learn. To our knowledge, this is the first attempt to quantify an economy-wide QOV associated with a local environmental policy decision. In Chapter 1 we argue that a numerical, option value approach is the appropriate way to examine uncertain public policy issues involving sunk costs. This method allows for an optimal timing of the public project rather than the 'now or never' approach of the ubiquitous net present value rule. We present local fracking policy as an excellent application for an option value approach as has positive expected net benefits but has been subject to local bans seemingly despite the net present value rule. We also defend our use of a CGE model to estimate the local economic benefits of fracking. Chapter 2 presents the option value model associated with epistemological uncertainty over environmental damages. Also, this chapter presents damage values parameterized to the City of Fort Collins for application in this and the subsequent chapter. With this in hand, we solve the model and demonstrate the results. Chapter 3 has a similar structure to Chapter 2. First, it discusses the literature on stochastic oil movements, then it presents the option value model associated with stochastic uncertainty over local benefits. Then, assuming the same parameterized expected damage as in Chapter 2, we solve the model and display the results.
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    Essays on Bitcoin mining and renewable energy: exploring sustainability and profitability
    (Colorado State University. Libraries, 2023) Hutabarat, Simon Poltak Hamonangan, author; Iverson, Terrence, advisor; Fremstad, Anders, committee member; Shields, Martin, committee member; Burkhardt, Jesse, committee member
    This Ph.D. dissertation comprises three interlinked studies exploring the intersection of renewable energy economics and cryptocurrency mining, focusing on Bitcoin. Using data from the California Independent Service Operator (CAISO) and a case study from East Indonesia, this research aims to inform energy and financial policies for a sustainable future. The first chapter, "Harnessing Renewable Energy for Cryptocurrency Mining: An Analysis of Locational Marginal Prices in California," looks into the potential of Bitcoin mining to utilize the surplus renewable energy produced during daylight hours when demand is relatively low. It considers whether the Locational Marginal Prices (LMPs) are systematically lower in areas rich in renewable energy resources, presenting an opportunity for strategic Bitcoin mining operations. The second chapter, "Assessing the Impact of Bitcoin Prices on Optimal Mining Hours: Implications for Renewable Energy Development," explores the profitability dynamics of Bitcoin mining. The study discusses the influence of Bitcoin prices and electricity costs on mining operations' profitability, including the ideal hours of operation. The findings suggest that for Bitcoin to be "green" and reduce carbon emissions, the Bitcoin price must be significantly lower than historical averages. The final chapter, "Exploring the Effects of Production Tax Credits on Renewable Energy Development: A Computable General Equilibrium Approach in East Indonesia," evaluates the potential impact of production tax credits (PTCs) on Indonesia's renewable energy industry. This study provides a quantitative assessment of the economic implications of a PTC, contributing to the ongoing debate on incentivizing renewable energy development. Together, these chapters offer insights into the potential of cryptocurrency mining to harness renewable energy, the factors affecting the profitability of Bitcoin mining, and the impact of tax incentives on renewable energy development. These findings could guide policymakers and stakeholders in making informed decisions for a sustainable and profitable future.