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You searched for subject:(Discriminatory price auction). Showing records 1 – 2 of 2 total matches.

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University of Tennessee – Knoxville

1. Sharma, Bijay Prasad. Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management.

Degree: 2018, University of Tennessee – Knoxville

Feedstock-based renewable fuels, and ecosystem restoration practices such as afforestation are long-term solutions to mitigating greenhouse gas (GHG) emissions. This dissertation aligns with assessing the effects of policy supports and voluntary incentive programs on renewable fuel production and forest-based carbon sequestration.Higher investment risks and novelty of the feedstock-based conversion technologies hinder large-scale deployment of renewable fuels at present. In the first essay, a two-stage stochastic model is employed to evaluate the impact of federal subsidies in designing a switchgrass-based bioethanol supply chain in west Tennessee wherein decisions driven by minimized expected and Conditional Value-at-Risk of system cost reflected the risk-neutral and risk-averse perspective of the biofuel sector, respectively. Major contribution of this study is the impact assessment of Biomass Crop Assistance Program (BCAP) on investment decisions (including land allocation) of a risk-sensitive biofuel industry under feedstock supply uncertainty.In the second essay, impacts of renewable jet fuel (RJF) production from switchgrass on farmland allocation, processing facility configuration, and GHG emissions are estimated in response to fulfilling the RJF demand at the Memphis International Airport in Tennessee. Importantly, a potential carbon market is used to explore the impact of hypothetical carbon credits on the GHG emissions reduction and net supply-chain welfare while addressing the economic motives of the supply-chain participants. Considering the attention paid by the Unites States aviation sector with respect to GHG emissions, this study highlights the importance of Renewable Identification Number (RIN) credits and tradable carbon credits in achieving the desired economic viability and emission abatement goals through a Stackelberg interaction between the feedstock suppliers and the feedstock processor.In the third essay, discriminatory-price auction and agent-based model are used to examine the cost-efficiency of cost-ranked and cost-benefit-ranked auction-based payment designs for forest-based carbon sequestration with varying degree of correlation between opportunity costs of afforestation and carbon sequestration capacities, when bidders learn in multi-round procurement auctions. Simulation outcomes are expected to guide decision makers in choosing an optimal payment design that ensures efficiency gains for auction-based payments compared to fixed-rate payments, and more importantly ensures minimal loss in cost-efficiency in a dynamic setting.

Subjects/Keywords: Stochastic optimization; Conditional-Value-at-Risk; Game-theoretic model; Renewable jet fuel; Discriminatory price auction; Carbon sequestration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sharma, B. P. (2018). Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5052

Chicago Manual of Style (16th Edition):

Sharma, Bijay Prasad. “Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management.” 2018. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed January 15, 2021. https://trace.tennessee.edu/utk_graddiss/5052.

MLA Handbook (7th Edition):

Sharma, Bijay Prasad. “Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management.” 2018. Web. 15 Jan 2021.

Vancouver:

Sharma BP. Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2018. [cited 2021 Jan 15]. Available from: https://trace.tennessee.edu/utk_graddiss/5052.

Council of Science Editors:

Sharma BP. Analyzing the Impacts of Policy Supports and Incentive Programs on Resource Management. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_graddiss/5052


University of South Florida

2. Nanduri, Vishnuteja. Auction Performance Evaluation in Deregulated Electricity Markets.

Degree: 2005, University of South Florida

In a deregulated electricity market, auction serves as a primary pricing tool in various segments of the market including day-ahead, real time, ancillary services markets, and Financial Transmission Rights (FTRs) market. Deregulated power markets around the world use different auction strategies that exist in the literature, since very little comparative guidelines exist as to the relative merits of these strategies. In this thesis, a computational methodology and its solution framework are developed to evaluate the impact of an auction strategy on the equilibrium prices in a constrained network with multiple generators at nodes, and where transactions are settled using the optimal power flow (OPF) program. The methodology is tested on a power market represented by a sample 12-bus IEEE network available in the MATPOWER software, which is reconfigured to allow multiple generators to supply power at a bus. The network is used as a platform to comprehensively assess the performance of uniform price auction, discriminatory auction, and second-price uniform auction. Auction rules are used to update generator costs, which are then introduced into the OPF program for obtaining optimal price and quantity allocations. This Auction-OPF procedure is embedded within a game theoretic model that obtains the equilibrium bidding strategies and the corresponding prices and quantities for the network. A detailed comparison of the auction mechanisms is carried out using different measures of performance such as revenue, average prices, and quantity weighted average prices. The comparison shows that there is, perhaps, an appreciable difference among the auction mechanisms. However, to statistically confirm the impact of auction choices, a mixed level factorial experiment is designed with auction strategy, network load, and congestion as three different factors and a closeness measure (defined as the difference between average total revenue and the average total cost of generators in the network per hour) as the responsible variable. An analysis of variance conducted on the experimental outcomes indicates that the load level and the auction strategy significantly affect the network performance. The presence market power under the auction strategies is examined through two well known indices, Herfindahl-Hirschmann Index (HHI) and Lerners Index. It is concluded from the HHI values that all three auction strategies allow the market to be moderately competitive. The Lerners index values show that, while discriminatory auction results in highest bid markup, second price uniform auction induces bidding at or close to the marginal cost.

Subjects/Keywords: First price uniform auction; Second price uniform auction; Discriminatory auction; Multi-unit auctions; Reinforcement learning; American Studies; Arts and Humanities

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nanduri, V. (2005). Auction Performance Evaluation in Deregulated Electricity Markets. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nanduri, Vishnuteja. “Auction Performance Evaluation in Deregulated Electricity Markets.” 2005. Thesis, University of South Florida. Accessed January 15, 2021. https://scholarcommons.usf.edu/etd/786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nanduri, Vishnuteja. “Auction Performance Evaluation in Deregulated Electricity Markets.” 2005. Web. 15 Jan 2021.

Vancouver:

Nanduri V. Auction Performance Evaluation in Deregulated Electricity Markets. [Internet] [Thesis]. University of South Florida; 2005. [cited 2021 Jan 15]. Available from: https://scholarcommons.usf.edu/etd/786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nanduri V. Auction Performance Evaluation in Deregulated Electricity Markets. [Thesis]. University of South Florida; 2005. Available from: https://scholarcommons.usf.edu/etd/786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.