Environmental Research Institute - Conference Items

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    Production of advanced gaseous biomethane transport fuel in an integrated circular bioenergy system
    (Environmental Protection Agency, 2023-04) Kang, Xihui; Lin, Richen; Wu, Benteng; Dobson, Alan; Murphy, Jerry D.; Environmental Protection Agency
    This report proposes an anaerobic digestion (AD)-centred integrated circular bioeconomy system for the production of advanced fuels (biomethane or biomethanol), medium-chain fatty acids (such as caproic acid), biofertiliser and biochar (with potential application for negative emission technology).
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    Comparative realistic objectives oriented optimization framework for EV charging scheduling in a distribution system
    (Institute of Electrical and Electronics Engineers (IEEE), 2022-05-18) Güldorum, Hilmi Cihan; Erenoğlu, Ayşe Kübra; Erdinç, Ozan; Şengör, İbrahim; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu; Türkiye Bilimler Akademisi
    The integration of large-scale electric vehicles (EVs) into the distribution system has emerged as a critical topic of research with the proliferation of EVs over the years. To mitigate the negative effects of EVs on the distribution system (DS), in this study, the optimal operation of an EVPL is investigated with a model in the form of mixed-integer quadratic constrained programming (MIQCP) that aims to minimize a variety of realistic objectives including active power losses, charging cost or voltage deviations while taking DS constraints into account. Also, uncertain behavior of the EVPL has been considered via machine-learning based forecasting by using historic data. The effectiveness of the proposed model has been evaluated using a 33-bus test system with 15-minute time granularity and compared to models that had various objective functions.
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    Mutually injection locked gain switched optical frequency combs for dual comb spectroscopy of H2S
    (Optical Society of America, 2020-05) Martin, Eamonn P.; Chandran, Satheesh; Rosado, Alejandro; Soderholm, Erik P.; Alexander, Justin K.; Peters, Frank H.; Ruth, Albert A.; Anandarajah, Prince M.; Enterprise Ireland; Science Foundation Ireland
    Application of two mutually injection-locked gain-switched optical frequency combs for near-infrared spectroscopy of H2S in air is demonstrated. The high phase correlation between OFCs allows measurement sensitivities of 740 ppmv using a compact, flexible device.
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    Real-time simulation of EV grid integration with internet-inspired charging control
    (2019-10-14) Ucer, Emin; Erdogan, Nuh; Rahman, Shahinur; Kisacikoglu, Mithat C.
    Analyzing realistic EV-grid integration (EVGI) with available simulation tools is cumbersome due to the software overhead associated with offline simulation. Alternatively, real-time hardware platforms are becoming convenient means for testing and evaluating systems before field implementation. This study presents a digital implementation of an EVGI model in real-time on a multi-core processor based simulation platform. Furthermore, an Interned-inspired EV charging control algorithm is proposed in a decentralized fashion to prevent congestion related problems in a residential distribution grid. The impact of the proposed EV charging control on the IEEE 37-node test system is evaluated through the real-time analysis. The developed controller results show promise for extension to any utility-interfaced power electronics system. Real-time simulation implementation requirements and challenges in the context of EVGI are also discussed.
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    The effect of viscosity on the maximisation of electrical power from a wave energy converter under predictive control
    (Elsevier, 2017-07) O'Sullivan, Adrian C. M.; Lightbody, Gordon; Science Foundation Ireland
    In this paper, the non-linear effects of viscosity on the performance of a Wave Energy Converter (WEC) system are analysed. A standard linear Model Predictive Control (MPC) is used to show the negative effects that the unaccounted non-linear viscosity force in the hydrodynamic system has on the power absorption. A non-linear MPC (NLMPC) is then implemented, where the non-linear viscosity effects are included in the optimisation. A linear drag coefficient estimate of the non-linear viscosity is then included in the linear MPC; creating a Linear Viscous Model Predictive Control. When constraints are incorporated, it is shown that a single choice of the linear viscous drag coefficient for use within the linear MPC can provide comparable results to the non-linear MPC approach, over a wide range of sea states.