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INFORMS Philadelphia – 2015

304

2 - Demand-side Power Procurement with Renewable Generation

and Energy Storage

Soongeol Kwon, Texas A&M University, 3131 TAMU,

College Station, TX, 77843, United States of America,

soongeol@tamu.edu

, Natarajan Gautam

We consider operational decisions to satisfy power demand while minimizing

purchase cost over time-varying electricity prices. In our scenario, consumers use

renewable sources to serve power demand and operate energy storage. We

propose a two-stage stochastic optimization problem to control purchase,

consumption and operations based on day-ahead and real-time procurement

while responding to variability and uncertainty in power demand, renewable

sources and electricity prices.

3 - Wind Speed Forecasting for Wind Parks: A Sequential

Modeling Approach

Vignesh Subramanian, Dept. of Industrial and Management

Systems Engineering, University of South Florida, ENB118,

Tampa, FL, United States of America,

vigneshs@mail.usf.edu,

Tapas K. Das

Inherently intermittent nature of wind energy makes it essential to accurately

predict wind speed for reliable operation of power systems comprising wind

generation. We propose a two-stage model. Stage I uses SVM to classify wind

speed into three clusters: zero power, rated power, and continuous power. Stage II

employs a Bayesian additive regression kernel (BARK) method to the continuous

power cluster to estimate the wind speed. The model is tested on numerical

weather prediction (NWP) data.

4 - Capacity Remuneration in the Belgian Electricity Market

Anthony Papavasiliou, Université Catholique de Louvain,

Voie du Roman Pays 34, Louvain la Neuve, Ou, 1348, Belgium,

tpapva@hotmail.com

Belgium experienced a serious shortage in capacity recently due to the unplanned

outage of nuclear capacity. This has motivated an investigation of Belgian capacity

remuneration mechanisms. In this presentation we compare the existing fixed

reserve requirements mechanism with the introduction of operating reserve

demand curves in reserve auctions.

TB58

58-Room 110A, CC

Topics in Nuclear Energy

Sponsor: ENRE – Energy II – Other (e.g., Policy, Natural Gas,

Climate Change)

Sponsored Session

Chair: Alexandra Newman, Professor, Colorado School of Mines,

Mechanical Engineering, Golden, CO, 80401, United States of America,

anewman@mines.edu

1 - Optimizing the Placement of Radioactive Isotope Measurement

Devices in a Nuclear Fuel Cycle

Ben Johnson, PhD Student, Colorado School of Mines,

Golden, CO, 80401, United States of America,

bebjohns@mymail.mines.edu

, Alexandra Newman, Jeffrey King

The purpose of nuclear safeguards is to prevent proliferation of radioactive

material. Enhancing methods to detect potential proliferation will help reduce the

increasing threat of malicious entities successfully obtaining nuclear material. We

create a mixed integer program to determine how many, where, and which types

of radioactive isotope measurement devices should be used in the nuclear fuel

cycle to minimize the weighted sum of Type I and Type II measurement errors.

2 - Modeling Societal Disruption from Nuclear Accidents to Inform

Regulatory Decision-making

Vicki Bier, Professor, University of Wisconsin - Madison, 1513

University Avenue, 3270A Mechanical Engineering Building,

Madison, WI, 53706, United States of America,

vicki.bier@wisc.edu,

Michael Corradini, Caleb Roh, Shuji Liu,

Robert Youngblood

Nuclear regulation in the U.S. focuses on preventing radiation-related fatalities.

However, recent experience shows that societal disruption from relocation can be

considerable, arguably more significant than radiation-induced health effects. We

have evaluated the population relocation that could occur after severe reactor

accidents as a proxy for societal disruption, and argue that regulatory guidance

should constrain societal disruption as well as radiation exposure.

3 - Economics of High-temperature Reactors for Industrial

Cogeneration: A Utility’s Perspective

Reinhard Madlener,

RMadlener@eonerc.rwth-aachen.de

, Jona

Hampe

This paper studies the economic potential of using HTRs for cogeneration of

industrial process heat and electricity. We find that a reference case HTR can

deliver cost-competitive process heat (at 200

C), thus rendering the chemical

and pulp & paper industries potential candidates. We use real options analysis to

deal with uncertainty and the managerial flexibilities of the project. We also

propose a model to calculate the option of switching between two different

operation modes.

4 - Selecting the Optimum Nuclear Fuel Cycle Including

Quasi-rational Opinions and Public Perception

Sama Bilbao Y Leon, Associate Professor, Virginia Commonwealth

University, 401 W Main St, Richmond, VA, 23284, United States

of America,

sbilbao@vcu.edu

,

John Swanson, Ishoc Salaam, Jonathan Hill

Although much work has been done to address the technological challenges

associated with the management and ultimate disposal of used nuclear fuel, less

attention has been given to public perception and acceptance of the selected fuel

cycle. This work presents current progress in a decision making model based on

Multi-Attribute Utility Theory that contains the fundamental objectives for both

technical and non-technical factors.

TB59

59-Room 110B, CC

Fire Management 2: Landscape & Modeling

Sponsor: ENRE – Environment II – Forestry

Sponsored Session

Chair: Hailey Buckingham,

hailey.buckingham@oregonstate.edu

1 - Timber Harvest and Fuel Treatment Decisions with Fire Risk

Chris Lauer,

cjlauer@gmail.com,

Claire Montgomery

This paper attempts to determine the optimal timing and location of fuel

treatments and timber harvests for a multi-stand landscape, accounting for the

spatial interactions that drive the fire behavior. An optimization method known

as value iteration is used to solve the dynamic program. Outcomes for multiple

land ownership configurations are explored.

2 - Integrating Wildfire Risk and Spread in a Cellular Forest

Harvesting Model

Marc McDill, Pennsylvania State University, University Park, PA,

United States of America,

mmcdill@psu.edu

, Susete Marques,

José Borges

We present a stochastic, cellular multi-objective forest harvest scheduling model

incorporating a mechanistic model of fire risk probability based on the state of a

cell and the probability of fire in neighboring cells. The model illustrates a

potential approach to integrate management activities including fuel treatments

and harvesting to address multiple objectives.

TB60

60-Room 111A, CC

Education II

Contributed Session

Chair: Omar Ben-ayed, Professor of Management, Qatar University,

Al Jameaa Street, P.O. Box 2713, Doha, 2713, Qatar,

omar.benayed@qu.edu.qa

1 - Challenges of Imbedding a Built-In OR/MS Paradigm among

Engineering Graduates

Thong Goh, Professor, National University of Singapore,

1 Engineering Drive 2, Singapore, 117576, Singapore,

tng@nus.edu.sg

There are many OR/MS courses at various levels that undergraduates can take.

However, many non-OR/MS disciplines may offer such courses as credit

accumulators, with both teachers and students having them as a subject of

learning and not something permanent that lasts into the students’ subsequent

working lives. This presentation discusses this issue with particular reference to

engineering undergraduate education, and explore ways to alleviate the situation.

TB58