Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

MD49

n MD48 North Bldg 229B Multi-Scale Feedbacks in Food-Energy-Water Decisions Sponsored: Energy, Natural Res & the Environment Environment & Sustainability Sponsored Session Chair: Robert Barron, The University of Kansas Co-Chair: Misty Porter, University of Kansas, Lawrence, KS, United States 1 - Pareto Optimality in Group Utility Functions Ali E. Abbas, University of Southern California, 3650 McClintock Ave, OHE 310R, Los Angeles, CA, 90089, United States, Zhengwei Sun The Pareto optimality condition is a widely used assumption in group decision making. It requires that if each individual in the group prefers one alternative to another, then the group as a whole should prefer that alternative. This condition implies that the group utility function is an additive combination of the utility functions of the group members. We argue that Pareto optimality is a desirable property for deterministic decisions but it need not be desirable for lotteries. We present a new condition “independence of indifferent group members.ö? We show that it is a weaker condition than Pareto optimality and derive the corresponding functional form of the group utility function. 2 - Science for Creative Solutions: Obtaining Sustainable Agriculture in Arid Regions when the Well Runs Dry Mary C. Hill, Professor, The University of Kansas, 1440 Naismith Drive, 170D Slawson, Lawrence, KS, 66045-0001, United States, Robert Barron The proposed FEWTUREsim (Food, Energy, and Water Technology Use in Resilient Environmental and economic sustainability Simulations) provides a vision of sustainable water and energy use and economic resilience in agricultural systems. Here, we discuss the object-oriented program design and proposed tests with use cases from arid rural communities. Any analysis that ignores global effects such as energy demand and supply and resulting costs, and climate change scenarios will produce a false assessment of system risks. Integration with results from selected GCAM simulations are explored as a way to account for global scale concerns. 3 - Discover Water: An Interactive Spatio-temporal Framework for Scalable Multivariate Analysis Misty Porter, University of Kansas, Lawrence, KS, United States, Mary Hill Combining qualitative and quantitative reasoning within a visual context supports the need for collaborative conservation to protect water resources. Previous work resulted in a visualization platform capable of clearly depicting correlations and suggesting interdependencies between time-varying, spatially- distributed quantities; it is called DiscoverWater. DiscoverWater is a time-evolving map and graphs based on time-series data. Together, these components elucidate trends so that the user can try to envision the relations between groundwater- surface water interactions, the impacts of pumping on these interactions, and the interplay of climate. 4 - Evaluating Sustainability of Energy Development Using Multi This paper examines the use of multi criteria decision analysis (MCDA) to evaluate the sustainability of different expansions in the Mexican Electrical Grid. In particular, we will include the transmission, generation, natural gas and CO2 storage networks into the evaluation of sustainability for each pathway. We use a set of social, economic and environmental criteria to evaluate the sustainability of each expansion plan up to 2050. The goal will be to use the insight of the sustainability of each expansion plan to better inform decision maker in developing energy policy. 5 - Modeling the Intersections of Food Energy and Water in Climate Vulnerable Ethiopia with an Application to Small Scale Irrigation Ying Zhang, Johns Hopkins University, Baltimore, MD, United States, Sriram Sankaranarayanan, Jess Carney, Wanshu Nie, Ben Zaitchik, Sauleh Ahmad Siddiqui To understand the coupled FEW dynamics, we are developing a multi-player micro-economic (MME) partial-equilibrium model. The MME studies how shocks such as drought and development of resilience technologies would influence the system. The MME model is based on aggregating individual optimization problems for relevant players to capture food and energy supply chain across zones. As small-scale irrigation has been promoted as a resilience technology that could affect food security and economic well-being in Ethiopia, here, we focus on the energy usage for small-scale irrigation and the collective impact on crop production and water resources across zones in the MME model. Criteria Decision Analysis: A Case Study on Mexico Rodrigo Mercado, University of Massachusetts-Amherst, Amherst, MA, United States, Erin Baker

n MD49 North Bldg 230 Joint Session ENRE/Practice Curated: One and Two-level Equilibrium Modeling with Applications in Energy Sponsored: Energy, Natural Res & the Environment/Energy Sponsored Session Chair: Steven A. Gabriel, University of Maryland, University of Maryland, College Park, MD, 20742-3021, United States Co-Chair: Ben Hobbs 1 - A Median Function Approach for Discretely Constrained Equilibrium Problems Steven A. Gabriel, University of Maryland, Dept Civil Environ Eng, 1143 Glenn L. Martin Hall, College Park, MD, 20742-3021, United States In this talk we present a new approach for solving discretely constrained, complementarity problems. Such problems can related to energy markets with discrete (e.g., go-no go) restrictions and also equity-enforcing restrictions. The result is a mixed integer nonlinear program based on finding the zero of a certain median function and then minimizing the norm of this function subject to integer and other constraints. The approach is presented with both theory and numerical results to proof its usefulness. 2 - Equilibria in Electricity and Gas Systems under Limited Information Interchange Antonio J. Conejo, The Ohio State University, Department of Integrated Systems Engineering, 210 Baker Systems Building, Columbus, OH, 43210, United States, Sheng Chen, Ramteen Sioshansi We consider the independent but interrelated operation of a gas system and a power system. The gas operator seeks maximum gas supply profit by solving a second order conic problem, while the electricity operator seeks minimum electricity supply cost by solving a linear programing problem. CCGTs link significantly the operation of both systems. We characterize the equilibria reached under different levels of communication granularity (both temporal and spatial) between the gas and electricity system operators. 3 - Long-term Electricity Market Equilibria with Storage in the Presence Stochastic Renewable Infeed Christoph Weber, PhD, University of Duisberg-Essen, Essen, Germany Renewable energy sources (RES) in the electricity system increase the need for flexible balancing of supply-dependent infeed, storage is thereby one important option. We formulate the long-term partial equilibrium model for competitive electricity markets with conventional generation, storage and stochastic infeed represented by a discrete recombining tree. We explore the KKT conditions to derive operation principles for storage based on a time-varying position in the supply stack resulting from stochastic changes in the co-state variable. Additionally, characteristics of the long-term investment equilibrium are derived based on the zero-excess profit condition. 4 - Strategic Multinational Transmission Expansion Planning using a Three-stage Equilibrium Model Simon Risanger, MSC, Norwegian University of Science and Technology, Trondheim, Norway, Martin Kristiansen, Paolo Pisciella Market agents often have different objectives and ignoring this can lead to inefficient markets. An example is multinational transmission expansion planning, where countries maximize their own social welfare, while system and market operators want system optimal results. To confront this challenge, we propose a three-stage equilibrium model. By exploiting relationships between binary variables from disjunctive constraints and dual variables, a mixed integer linear problem providing global optimum is formulated. The method is demonstrated on a case study of the North Sea Offshore Grid.

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