Title: Mixed Complementarity Modeling in the Global Natural Gas Market
Author: Justin (Chad) Huemme
Date & Time: Monday, May 11, 2020 – 12:00PM
- Professor Steven Gabriel, Chair/Advisor
- Professor Shapour Azarm
- Associate Professor Qingbin Cui
Abstract: This thesis describes the development and capabilities of an updated mixed complementarity problem model of the global natural gas market derived from the University of Maryland 2014 World Gas Model (WGM). Through an understanding of the current state of the natural gas market, the WGM determines the economic behavior of various market players with the deployment of Karush-Kuhn-Tucker (KKT) optimality conditions in conjunction with market-clearing conditions. The capabilities of the World Gas Model are highlighted through two case studies that are of varying international importance. The case studies are specifically selected from different issues that face the natural gas market such as a United States and China trade war and U.S. Coast Guard liquefied natural gas (LNG) inspection workforce forecasting. The goal of the United States and China Trade War case study is to analyze the potential long- and short-term effects of a prolonged trade war under several different possible scenarios. The U.S. Coast Guard LNG inspection workforce forecasting case study utilizes the WGM to provide the future workforce demand for U.S. regulatory personnel and the associated costs based on the growth of the U.S. LNG industry.