Scott Duncan

Scott Duncan
Georgia Institute of Technology | GT · School of Aerospace Engineering

About

38
Publications
7,094
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1,562
Citations
Citations since 2017
12 Research Items
596 Citations
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2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
Introduction
Skills and Expertise

Publications

Publications (38)
Article
Organizations continuously develop Digital Twins across a wide number of applications and industries. While this represents a testimony to the benefits and opportunities Digital Twins provide (AIAA 2022), their development, maintenance and evolution still face major challenges (Bordeleau et al. 2020). Most past and current efforts focusing on the d...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2021-3372.vid With the changing incentive structure provided by utilities from variable rate plans, demand response, and sell-back programs, building managers have begun to integrate microgrids into their building energy management. These microgrids consist of local storage and generation of power...
Conference Paper
View Video Presentation: https://doi.org/10.2514/6.2021-3363.vid Net positive water and energy buildings aim to generate or harvest more water and energy than they consume. Buildings pursuing this goal typically do so through the generation of energy using photovoltaic (PV) arrays and through the collection of rainwater using the building’s rooftop...
Article
Full-text available
An indoor occupancy estimator is proposed for the purpose of identifying the room’s binary occupancy state based on limited carbon dioxide (CO2) and temperature measurements from only two available sensors. The proposed approach includes a physics-informed pattern-recognition machine (PI-PRM). Invariant features, including CO2 level, CO2 rate of ch...
Conference Paper
District cooling systems are growing in prevalence as they offer building fleets significant cost and energy savings compared to traditional systems. Their analysis requires the integration of hydraulics and thermodynamics to capture their overall behavior. This work aimed to develop an integrated model for simultaneously representing the hydraulic...
Conference Paper
As part of the GT Smart Energy Campus research initiative, a chilled water district cooling network model has been created in Modelica and analyzed via simulations for different system configuration settings, both from chiller plant and campus building side, and under different heat loading conditions. The model allows for exploration of the design...
Conference Paper
Researchers at Georgia Tech (GT) have recently begun the GT Smart Energy Campus initiative, which combines campus energy metering data with physics-based modeling and simulation to create an integrated analysis environment for campus energy. The environment consists of a digital representation of campus, which supports situational awareness, as wel...
Conference Paper
An accurate building energy technology portfolio evaluation approach is needed that integrates physics-based models and business case analysis. Open source, parametric building modeling tools have recently matured to enable system-level building energy analysis at high fidelities. It is observed that these modeling tools usually only analyze energy...
Article
Full-text available
In large scale electricity grids, the goal to reduce fossil fuel dependence can be addressed in multiple ways: generation, storage technologies, demand response, etc. In an isolated grid not connected to a transmission infrastructure, such as a military base or isolated resort, the problem is more difficult to address because of space and funding l...
Article
Full-text available
Apart from the potential to reduce emissions and reliance on petroleum, large-scale adoption of electric vehicles (EVs) presents an opportunity to provide electric energy storage (EES)-based ancillary services, e.g., smoothing intermittency due to renewable energy sources (RESs) and supporting grid-wide frequency stability. However, the potential b...
Article
Full-text available
When modeling and simulating a novel system to be designed, a modeler defines design variables, i.e., those parameters pertaining to the system to be realized, as well as modeling & simulation variables (M/SV), i.e., parameters regarding how the system (as an abstraction of reality) should be modeled and simulated. In this paper, the authors examin...
Conference Paper
A new quality indicator for Pareto efficient frontiers has been developed in order to map desired Pareto optimal set attributes to a single metric. This new Pareto quality metric was tested to see if it could be effectively utilized along with Response Surface Methodology (RSM) techniques to tune the parameter settings of multiobjective optimizatio...
Conference Paper
supply. Since unexpected power generating unit loss or other contingencies directly jeopardize an interconnection’s grid stability, NER C regulations define safety margins in energy reserves that grid operators have to meet in order to assure uninterrupted supply. Such energy reserves are energy inefficient and ero de profits. It has been recently...
Conference Paper
The current energy grid is not capable of handling the future demands and currently could operate at a more desirable efficiency. In order to solve these problems, a system-wide update has been proposed, commonly referred to as the Smart Grid. In order to accomplish this, it has been proposed that the Smart Grid will feature various complex capabil...
Conference Paper
A multi-component complex system consists of distributed components that are connected via a network, e.g., transformers on an electricity grid. Loads on the components can be modeled as stochastically varying and may be shared by components connected by the network. Thus, components can be dependent on each other with respect to deterioration, fai...
Conference Paper
To meet increasing demand worldwide for electricity, efforts are underway to augment today's electrical grid infrastructure with enhanced information technology (IT), creating a Smart Grid capable of advanced monitoring, information exchange, analytics, and control. Because of the nature of the electrical grid, the stakeholders that control and use...
Conference Paper
The demand for greater efficiency, lower emissions, and higher reliability in combined cycle power plants has driven industry to use higher-fidelity plant component models in conceptual design. Normally used later in preliminary component design, physics-based models can also be used in conceptual design as the building blocks of a plant-level mode...
Article
Background, aims, and scope: Life cycle assessment (LCA) stands as the pre-eminent tool for estimating environmental effects caused by products and processes from 'cradle to grave' or 'cradle to cradle.' It exists in multiple forms, claims a growing list of practitioners, and remains a focus of continuing research. Despite its popularity and codifi...
Article
Background, aims, and scope Life cycle assessment (LCA) stands as the pre-eminent tool for estimating environmental effects caused by products and processes from ‘cradle to grave’ or ‘cradle to cradle.’ It exists in multiple forms, claims a growing list of practitioners and remains a focus of continuing research. Despite its popularity and codifica...
Thesis
Due to increasing interest in sustainable development, today s engineer is often tasked with designing systems that are environmentally benign over their entire life cycles. Unfortunately, environmental assessments commonly suffer from significant uncertainty due to lack of information, particularly for time-distant life cycle aspects. Under severe...
Article
Full-text available
Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is newly considered in the context of a simple life cycle engineering example. IGDT offers a path to a decision in the class of problems where a nominal estimate of an uncertain life cycle parameter is available, but the amount of the deviation o...
Conference Paper
In this article, Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is applied to decisions about a remanufacturing process. IGDT is useful when only a nominal estimate is available for an uncertain quantity; the amount that estimate differs from the quantity’s actual value is not known. The deci...
Article
Full-text available
Often in the early stages of the engineering design process, a decision maker lacks the information needed to represent uncertainty in the input parameters of a performance model. In one particular form of severely deficient information, a nominal estimate is available for an input parameter, but the amount of discrepancy between that estimate and...
Article
Full-text available
There is growing acceptance in the design community that two types of uncertainty exist: inherent variability and uncertainty that results from a lack of knowledge, which variously is referred to as imprecision, incertitude, irreducible uncertainty, and epistemic uncertainty. There is much less agreement on the appropriate means for representing an...
Article
Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is considered in the context of a simple life cycle engineering example. IGDT offers a path to a decision in the class of problems where only a nominal estimate is available for some uncertain life cycle variable that affects performance, and whe...
Conference Paper
The environmental benchmarking procedure as developed by the Design for Sustainability Lab of Delft University of Technology and the Environmental Competence Centre of Philips Consumer Electronics has been applied to TVs sold in the market in three continents: North America (USA), Europe and Asia (China). For each region three or four products of d...
Article
Full-text available
Presentation given for SRL meeting Summer 2005 Researchers in the ECDM program will develop methodologies and decision support tools that integrate the best business practices with those that produce superior environmental and social performance. Our research products will enable corporations to recognize, pursue and embrace triple bottom line goal...

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