AU Energy Symposium

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The first AUenergy Symposium was held Friday, October 12, 2018 at Alfred University. The symposium brought together energy industry professionals, clean energy engineers, and engineering and technology students to discuss and propel sustained efforts among a diverse array of clean energy industries.

The goal of the AUenergy Symposium is to focus the current and emerging generations of clean energy engineers on the issues, questions, goals, and approaches needed to develop best practices for the entire industry.

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Recent Submissions

Now showing 1 - 20 of 28
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    AUEnergy Symposium 2019 Program
    (Alfred University, 2019-10-11)
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    AU Energy Symposium recording
    (Alfred University, 2018-10-12)
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    The Tiny House Project
    (Alfred University, 2018-10-12) Enders, Arica; Wang, Xingwu
    Our project consists of building a 200 square foot off-the-grid tiny home sitting atop a 24-foot trailer. Utilizing a budget of $41,000, the timeline for completion is two years: one year for design and one year for prepping and building the unit.
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    Three Phase Variable Speed Control
    (Alfred University, 2018-10-12) Morrison, Bryce; Klossner, Jeffrey; Naar, Enderson; Abuelmaali, Rashid
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    Short-term Nodal Load forecasting for SCUC Based on Data Mining methodology
    (Alfred University, 2018-10-12) Lu, Dan; Bao, Zhen; Li, Zuyi; Zhao, Dongbo
    Our poster introduces an advanced method to predict Short-term Nodal Load data in power system. This method forecasts a set of load profiles for the next day which can cover minor changes. Data Mining (DM) techniques are heavily used to deal with the existing historical data. Least absolute shrinkage and selection operator (LASSO) is employed to reduce the number of features for a single nodal load forecasting. Principal component analysis (PCA) is used to capture the features of the historical load in low dimensional space compared to the original high-dimensional load space, whose feature is hard to describe. Bayesian Ridge Regression (BRR) is employed to form the prediction model which is sophisticated method to decide the parameters in the model from statistical point of view.
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    Application of CVaR (Conditional Value at Risk) Analysis In Wind Farm Layout Optimization
    (Alfred University, 2018-10-12) Farajifijani, Ramin; Ahmadian, Saeed; Ebrahimi, Saba; Ghotbi, Ehsan
    This study proposes the optimal layout of an offshore wind farm (WF) allocation for a number (N) of wind turbines (WTs) in a 2 km 2 km fixed area. The paper aims to maximize expected WF power output and efficiency considering the joint probability distribution of wind speed and direction. In fact, the effects of both stochastic variables (wind speed and direction) are considered to find optimal WF layout. Unlike most previous studies using the coordinate model (CM) allows the WTs to be located on any available spot in the WF instead of only at the center of the grids. Thus, by applying joint probability distribution to the WF expected power, a new multivariant conditional value-at-risk model is being presented to find the best possible layout under the worst-case scenarios for both wind speeds and directions. Indeed, the presented optimization model obtains the optimal WF locations.
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    Wind Farm Micrositting Optimization by Stackelberg Game Theory Model
    (Alfred University, 2018-10-12) Farajifijani, Ramin; Ghotbi, Ehsan
    This study proposes the optimal layout of an offshore wind farm (WF) micrositing for a fixed/imported number (N) of wind turbines (WTs) in a 2 km 2 km finite fixed area similar to previous studies with respect to the maximum power outage from the wind and inimum levelized cost of energy (LCOE) and maximum efficiency concerning highly desire from technical and commercial perspective. Thus, by applying an Stackelberg algorithm and game theory to the leaders and followers (objective functions), ensure that the optimal solution for the number of WTs used are placed at most optimum location in the WF to harness maximum power available in the wind with a more efficient and economical layout. Case studies with actual manufacturer data for same WTs with various hub heights and with realistic wind profile data are performed under the scope of research.
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    Using Reservoirs to Store Surplus Renewable Energy
    (Alfred University, 2018-10-12) Benham, Joshua; Gong, David; McGunnigle, Liam
    Wind turbines (and other sources of renewable energy) are capable of producing energy exceeding the loads. Surplus energy can be stored for later usage. Therefore, it is required to have a storage system with energy output that is easily variable to match changing conditions, but can also remain stored for long periods of time. Merging wing turbines with hydroelectric generators is one way to store renewable energy.
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    Modifying Ocean Thermal Energy Conversion for Land-Based Operations
    (Alfred University, 2018-10-12) Kogachi, Weston; Cerrato, Justin
    The problem with wind and solar energy is that they are dependent on the weather. This questions their reliability and resiliency. If there is less wind or if there's a cloudy day, turbines and solar panels decrease in power production, leading to a decrease in reliability. As a result, events like these reduce resilience. Taking the concept of Ocean Thermal Energy Conversion, or OTEX, and modifying this technology suitable for land operations, is a design that can fix the core problems that come with solar and wind energy. OTEC utilizes warm sea water on the surface of the ocean to boil liquid ammonia into a gas. That then turns a turbine which condenses back into a liquid using cold deep-sea water. Because the surface temperature is always warmer than the deeper sea water, generating electricity is constant no matter the weather conditions, providing reliability and resiliency. For the state of New York, modifications can be made using compost and outside air or water to heat and cool down the same type of liquid.
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    Impact of BEVs on Resiliency of Microgrids with Renewables
    (Alfred University, 2018-10-12) Azimian, Behrouz; Wang, Xingwu
    One of the main purposes of implementing microgrids is to provide local power for loads. Renewable energy generation units are built adjacent to consumers. These units and battery electric vehicles (BEVs) can be used to reduce the need for power from concentrated power generation units (i.e. enormous conventional power plants). This work proposes a method to enhance resiliency of microgrids through survivability. Survivability in this context is to minimize load shed for the duration that the microgrid is in island mode following a disturbance event. During island operation, microgrid loads are prioritized as critical and non-critical loads, respectively. This task is formulated as a non-linear programming problem which tries to maximze the total load served of the microgrid.
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    A Green Energy Plan for Alfred & Campuses Nationwide
    (Alfred University, 2018-10-12) Stark, Adam; Piraino, Elias; O'Dell, Brian
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    Adding “Off Grid” Electrical Systems to Future Electrical Grid Systems
    (Alfred University, 2018-10-12) Norwood, Jackson
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    Battery Storage Applications in Power Grid Systems
    (Alfred University, 2018-10-12) Miller, Ryan
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    Research Activities to Integrate Solar and Wind
    (Alfred University, 2018-10-12) Smith, Gabriel
    As a society, we will eventually run out of fossil fuels and will require a new source of energy. The most beneficial approach to this problem is to to faze out fossil fuels while integrating renewable sources of energy into our lives. My project involves integrating effective solar recharge systems for vehicles, discussing challenges of switching from non-renewable to renewable sources of energy, and identifying potential solutions. The results of my project indicate that simple solutions exist, but simple technology and calculations driving these solutions do not. Today's technology will not full satisfy the gap that prevents full conversion to renewable energy.
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    Ultrafast Laser Processing of Silicon
    (Alfred University, 2018-10-12) Sundaram, S. K.
    My project highlights three key points: 1) Ultrafast laser processing produces a wide range of features and structures with unique properties. Ultrafast laser texturing in photovoltaics manufacturing is feasible. 2) Use of hyperdoping for intermediate band silicon photovoltaics likely requires concurrent surface texturing or other absorption enhancement techniques to yield photoconversion efficiency improvements. 3) Studying electronic processes in energy materials (oxides) in real time is a future plan. Challenges include larger Eg and advanced laser equipment and control.
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    Capacitors: Energy Storage and Conversion
    (Alfred University, 2018-10-12) Tidrow, Steven C.
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    Distribution Grid Management Using Renewable Technology
    (Alfred University, 2018-10-12) Simmins, John J.
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    Workforce at NYPA Digital Utility
    (Alfred University, 2018-10-12) Saavedra, Fernando
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    Data Analytics: Exploring Unknown Unknowns
    (Alfred University, 2018-10-12) Paul, Peter
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    Fuel Cells: High Efficiency, Distributed Power
    (Alfred University, 2018-10-12) Misture, Scott T.