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    Design and Optimization of Integrated Distributed Energy Systems for Off-Grid Buildings 

    Source: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 007:;page 70902-1
    Author(s): Zhang, Jian; Cho, Heejin; Mago, Pedro J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Off-grid concepts for homes and buildings have been a fast-growing trend worldwide in the last few years because of the rapidly dropping cost of renewable energy systems and their self-sufficient nature. Off-grid homes/buildings ...
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    A Nonlinear Autoregressive With Exogenous Inputs Artificial Neural Network Model for Building Thermal Load Prediction 

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 005:;page 050902-1
    Author(s): Yu, Byeongho; Kim, Dongsu; Cho, Heejin; Mago, Pedro
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Thermal load prediction is a key part of energy system management and control in buildings, and its accuracy plays a critical role to improve building energy performance and efficiency. Regarding thermal load prediction, ...
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    Performance Analysis of Solar-Powered Organic Rankine Cycle With Energy Storage in Different Climate Zones in the United States 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 009:;page 090908-1
    Author(s): Hemmati, Hadis; Zhang, Jian; Spayde, Emily; Mago, Pedro J.; Cho, Heejin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Solar-powered organic Rankine cycle (ORC) is considered a promising technology and has the potential to provide clean electric energy. Extensive studies on the design of ORC systems have been conducted and reported in the ...
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