Electrical and Computer Engineering Commons^™

Passive Control Strategies For Cooling A Non-Residential Nearly Zero Energy Office: Simulated Comfort Resilience Now And In The Future, Adam O'Donovan, Michael D. Murphy, Paul D. O'Sullivan

Publications

The average global cooling demand in non-residential buildings is expected to increase by over 275% between now and 2050. Controlled passive cooling is fundamental to successful operational performance of buildings and in mitigating energy that would otherwise be consumed by mechanical systems. The aim of this study was to determine the resilience of different passive cooling control strategies in delivering optimal comfort and energy scenarios in both current and future extreme conditions, for low energy indoor office spaces. Simulations were conducted using a calibrated TRNSYS 17 model of a nearly zero energy building. The performance of ten passive cooling control …

Developing A Substation Design Curriculum For Electronics Engineering Technology, Filipe Santos Araujo, Erik A. Mayer

ASEE North Midwest Section Annual Conference 2020 Publications

Background: The latest technologies have created an increasing demand for the generation, transmission, and distribution of electricity. Substations are a crucial segment of our power grid. Substations are used to step-up voltages for the long-distance transmission of energy and to stepdown voltages for industrial and residential use. The demand for substation design curriculum was discussed at a meeting of the Industrial Advisory Committee (IAC) for EET. Members of the IAC consisted of professionals from Black & Veatch and other companies that work with power systems such as substations and switchgear. The curriculum was developed in close cooperation with Black & …

A Comparison Of Platform Configurations For Robotics Development Within Ros2, Raspberry Pi, Andwebots, Katherine Gisi, Diane T. Rover, Phillip H. Jones Iii

ASEE North Midwest Section Annual Conference 2020 Publications

Background: The field of robotics continues to expand with new, progressive technologies. The vast ecosystem of robotics, with its countless routes, is initially challenging to navigate. It is even more so during a season of virtual instruction. Creating strategic entrance points for the incoming students merits consideration. Purpose: Our aim is to provide a way for students to explore three critical areas in robotics: the physical robot (hardware), the simulated robot (digital twin), and the operating system and code (controller).
Method: We explore options for integrating two advanced robot development frameworks (i.e. Robot Operating System 2 (ROS2) and Webots) in …

An End-To-End Trainable Method For Generating And Detecting Fiducial Markers, J Brennan Peace

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Existing fiducial markers are designed for efficient detection and decoding. The methods are computationally efficient and capable of demonstrating impressive results, however, the markers are not explicitly designed to stand out in natural environments and their robustness is difficult to infer from relatively limited analysis. Worsening performance in challenging image capture scenarios - such as poorly exposed images, motion blur, and off-axis viewing - sheds light on their limitations. The method introduced in this work is an end-to-end trainable method for designing fiducial markers and a complimentary detector. By introducing back-propagatable marker augmentation and superimposition into training, the method learns …

An Aggregated And Equivalent Home Model For Power System Studies With Examples Of Building Insulation And Hvac Control Improvements, Huangjie Gong, Evan S. Jones, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Introducing new technologies into existing residences provides opportunities for the utility to enhance a community's power system performance. To validate the benefits of such technologies, an energy model is required in which their integration with a community's power system may be simulated. It can be difficult or impossible to properly model a power system without sufficient sample data. This paper proposes a method that uses Gaussian kernel density estimation (GKDE) to calculate the aggregated net power flow of a community's distribution system with only limited sample points at each time step. Example case studies that confirm the usefulness of the …

Evaluating Driving Performance Of A Novel Behavior Planning Model On Connected Autonomous Vehicles, Keyur Shah

Honors Scholar Theses

Many current algorithms and approaches in autonomous driving attempt to solve the "trajectory generation" or "trajectory following” problems: given a target behavior (e.g. stay in the current lane at the speed limit or change lane), what trajectory should the vehicle follow, and what inputs should the driving agent apply to the throttle and brake to achieve this trajectory? In this work, we instead focus on the “behavior planning” problem—specifically, should an autonomous vehicle change lane or keep lane given the current state of the system?

In addition, current theory mainly focuses on single-vehicle systems, where vehicles do not communicate with …

A Quantile-Based Approach For Transmission Expansion Planning, Jairo Cervantes, F. Fred Choobineh

Department of Electrical and Computer Engineering: Faculty Publications

Transmission expansion planning is an integral part of power system planning and consists of generating and selecting transmission proposals for maintaining sufficient transmission capacity to satisfy the electric load. Specifically, the desire to increase the use of renewable energy has exposed the limitations of transmission networks and has elevated the importance of transmission expansion planning. However, considering the random nature of renewable sources in conjunction with the power outages makes the planning process very challenging. We present a new procedure for selecting the best transmission enhancement proposal from a set of finite proposals under uncertainty. The selection is based on …