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Optimal Dispatch of Cogeneration with Thermal and Battery Energy Storage for BEMS Subject to Load Demand Uncertainty 19

Optimal Dispatch of Cogeneration with Thermal and Battery En...

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19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Trairat, Parichada Banjerdpongchai, David Chulalonkorn University Intelligent Control Automation of Process Systems Research Unit Dept of Electrical Engineering Bangkok10330 Thailand

ISBN: (纸本)9781665485845

This paper presents optimal dispatch of cogeneration with thermal energy storage (TES) and battery energy storage (BES) for Building Energy Management System (BEMS) subject to load demand uncertainty. The energy supply of BEMS consists of combined heat and power (CHP), an auxiliary boiler, an absorption chiller, battery energy storage (BES), spinning reserve (SR) and power grids. Previous research related to CHP for BEMS provides optimal operation to minimize total operating cost (TOC), but their operation has only CHP and TES for supply the electrical energy. In this paper, we propose to add BES and SR which aims to supply the electrical energy in the building subject to load demand uncertainty. The load demand uncertainty arises from the difference between the forecasted load demand and the actual load demand. We apply artificial neural network (ANN) to analyze the load demand uncertainty. BES and SR are utilized to tackle the load uncertainty. Then, we design economic optimal operationwith TOC as the objective function. We apply the proposed BEMS with a large shopping mall to demonstrate improvements in energy efficiency. The numerical results manifest that the proposed dispatch can reduce 12.52% of TOC compared to the previous BEMS without BES and SR. © 2022 IEEE.

关键词： Uncertainty analysis

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Molecular Imprinted Polymer Based Optical Sensor for Methanol Vapor Detection

Molecular Imprinted Polymer Based Optical Sensor for Methano...

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Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023

作者： Leelasirinuwong, Mintra Denkasineecharoen, Phebe Yungyuentrrakoon, Pin Jitpratak, Pannathorn Kongsawang, Nuntaporn Pathak, Akhilesh Kumar Viphavakit, Charusluk Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Intelligent Control Automation of Process Systems Research Unit Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand

A molecular imprinted polymer-based optical sensor is proposed to detect methanol. The sensor is tested with different concentrations of methanal vapour for sensitivity and ethanol for selectivity. The result shows a ... 详细信息

ISBN: (纸本)9781957171241

关键词： Optical sensors

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Model predictive control of microgrid energy management system with optimal power flow constraints using second order cone programming 18

Model predictive control of microgrid energy management syst...

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18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Boonpeng, Jirapong Maneeratpongsuk, Jitpanu Banjerdpongchai, David Chulalonkom University Intelligent Control Automation of Process Systems Research Unit Dept. of Electrical Engineering Faculty of Engineering Bangkok10330 Thailand

ISBN: (纸本)9780738111278

Energy management system (EMS) is important for the planning and operation of power system as the power generation must supply enough energy for load with the minimum operating cost. This paper presents nonlinear MPC to dispatch power generation within the limitation of the power system. The objectives are to improve EMS by considering AC optimal power flow and provide a dispatch strategy to reduce total operating cost (TOC). To realize the proposed nonlinear MPC, we consider the power plant model of Mae Hong Son in the northern part of Thailand. Load data and power generation profile are utilized as the inputs to MPC of EMS to minimize TOC for one day ahead. In this work, the optimal power flow is incorporated as the second order cone constraints. It is shown that EMS with optimal power flow can operate within the rated voltage for all buses. When comparing the results in normal mode with one-shot optimization, the proposed MPC can reduce the TOC by 1.72% in the rainy season. © 2021 IEEE.

关键词： Second-order cone programming

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Analysis of Equilibrium Point and Genetic Algorithm Design of Observer-Based PID controller for Membrane Bioreactor

Analysis of Equilibrium Point and Genetic Algorithm Design o...

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2021 International Automatic control Conference, CACS 2021

作者： Changsila, Yanita Banjerdpongchai, David Intelligent Control Automation of Process Systems Research Unit Dept. of Electrical Engineering Faculty of Engineering Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9781665444125

The operation of most wastewater treatment systems is an open-loop system. There is limited feedback control of membrane bioreactors (MBR) which makes it impossible to regulate the quality of the treated water. The objectives of this paper are twofold. First, we analyze the equilibrium point of the MBR nonlinear model. Second, we utilize output feedback control with state observer and design optimal PID controllers. We determine the optimum equilibrium point and derive a linearized model of MBR. Then, we design the state observer to estimate the non-measurable state using the pole placement method. Both the measurable output and estimated state are fed back through PID controller. The objectives of PID control consist of stabilization and performance improvement. Genetic Algorithm is applied to find the optimal PID parameters that minimize the integral of absolute error and satisfy the specified time-domain criteria. We apply the observer-based PID controller to the linearized model of MBR. Numerical results demonstrate the design of PID controller and the improvement of the closed-loop response and quality of the treated water. © 2021 IEEE

关键词： Bioreactors

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Tracking performance limitations of MIMO discrete-time networked control systems with multiple constraints

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Science China(Information Sciences) 2023年第8期66卷 267-268页

作者： Xiaowei JIANG Bin ZHANG Xiangyong CHEN Huaicheng YAN School of Automation China University of Geosciences Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation and Electrical Engineering Linyi University Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education

Dear editor,Networked control systems(NCSs) have attracted widespread attention in some fields because they offer the advantages of reduced cabling, greater resource sharing,and ease of installation and maintenance [1]. However, in an unreliable network environment, network constraints can significantly limit the performance of NCSs.

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Smart Factory Hub – Towards a Data Mesh in Smart Manufacturing

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Procedia Computer Science 2024年 232卷 2709-2719页

作者： Roberto González-Velázquez Izaskun Fernández Rubén Ferreira Carlos Carballo Álvaro García Bruno Santamaría Diego González Tekniker Basque Research and Technology Alliance (BRTA) Intelligent Information Systems Unit Iñaki Goenaga 5 Eibar 20600 Spain Tekniker Basque Research and Technology Alliance (BRTA) Automation and Control Unit Iñaki Goenaga 5 Eibar 20600 Spain

The transition of a company towards a data-oriented organisation is a process where several key aspects must be considered. Available data must be readable and interpretable so that useful information can be extracted from it, but also data governance must be implemented with the use of an appropriate information management approach. Handling data at scale is important in this system, as well as ensuring its quality, but also agility and ease of management when new data functionalities have to be developed. New paradigms in the design of analytical architectures have emerged in recent times to respond to these challenges, as is the case of the data mesh concept. This work describes the approach followed in the design of a data information system at Tekniker research Centre called "Smart Factory Hub" using data mesh principles in the context of a smart manufacturing environment. Decentralisation by use cases, the orientation to data products, or the use of a semantic data catalogue for data discoverability, are some of the foundations used to build this platform to allow the coordination of different teams to create faster insights and value for the organisation.

关键词： Data Mesh Big Data Data Platform Smart Manufacturing

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Convolutional Neural Networks for Predicting Energy Efficiency of Air Conditioning systems 17

Convolutional Neural Networks for Predicting Energy Efficien...

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17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020

作者： Kittisarakul, Supitchaya Banjerdpongchai, David Chulalonkorn University Intelligent Control Automation of Process Systems Research Unit Bangkok10330 Thailand

ISBN: (数字)9781728164861

ISBN: (纸本)9781728164861

This paper presents a prediction of the energy efficiency of air conditioning system using convolutional neural network (CNN). Coefficient of Performance (COP) is used as a measure of energy efficiency. In previous work, the study employed autoregressive with exogenous inputs (ARX) as a model for COP prediction. In this paper, the obtained data are preprocessed, and COP is calculated and used in the training process. We employ CNN to build two sub-models to separately predict temperature difference and power consumption using the past 30-minute data of room temperature, ambient temperature, and power consumption. The models are tested with historical data and compute the root mean square error (RMSE) as a prediction indicator. We compare the proposed CNN with ARX and Artificial Neural Network (ANN). The results show that CNN yields RMSE significantly less than that of ARX and ANN. However, the prediction from CNN seems to have lagging behavior in some seasons which might be due to the fluctuation of seasonal weathers. © 2020 IEEE.

关键词： Energy efficiency

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Design of Supervisory Model Predictive control for Building HVAC System Subject to Time-Varying Operating Points

Design of Supervisory Model Predictive Control for Building ...

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International Conference on control, automation and systems ( ICCAS)

作者： Sitthiphat Promchaiwattana David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok Thailand

This paper presents the design of supervisory model predictive control for HVAC systems with consideration of peak demand shaving and thermal comfort. In this work, we analyze the operating points with the thermal comfort requirement. Afterwards, we linearize the nonlinear dynamic model to a linear time-varying model. In particular, we specify that the operating point of the open-loop HVAC system satisfies the thermal comfort condition. This makes the predicted mean vote (PMV) equal to zero or nearly to zero. Subsequently, we calculate the zone temperature, the zone humidity ratio, and the volumetric flow rate. When considering the time-varying disturbance profiles, it appears that the operating points are time-varying. We observe that the coefficient of performance (COP) and the operating points are time-varying which lead to time-varying model. Moreover, we design supervisory control (SC) and model predictive control (MPC) for linear time-varying model. In the SC design, we aim to find the optimal reference zone temperature which is used as the reference signal for MPC. In the MPC design, the objectives are twofold. First, the zone temperature tracks the reference signal. Second, both electrical energy cost and deviation of desired thermal comfort are minimized. The computer simulation shows that MPC of time-varying HVAC system yields the best reference tracking. In addition, it reduces total electrical energy cost the most. We conclude that the optimal temperature reference can be effectively applied to the building HVAC systems while the occupants feel comfortable and the total electrical energy cost is the lowest.

关键词： HVAC Costs Input variables Buildings Predictive models Supervisory control Thermal analysis

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Analysis of Equilibrium Point and Genetic Algorithm Design of Observer-Based PID controller for Membrane Bioreactor

Analysis of Equilibrium Point and Genetic Algorithm Design o...

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International Automatic control Conference

作者： Yanita Changsila David Banjerdpongchai Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Pathumwan Bangkok 10330 Thailand

ISBN: (纸本)9781665444132

关键词： PI control Biological system modeling Bioreactors Observers Biomembranes PD control Wastewater treatment

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A low-cost gold-coated optical fiber sensor for in-situ microplastic detection in water

A low-cost gold-coated optical fiber sensor for in-situ micr...

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BioSensors Conference (BioSensors), IEEE

作者： Noppasin Ajchareeyasoontorn Jade Udomkittivorakul Tatinee Changlor Chanyanut Rungchaiwattanakul Jenyuk Lohwacharin Charusluk Viphavakit International School of Engineering (ISE) Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Environmental Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Intelligent Control Automation of Process Systems Research Unit Faculty of Engineering Chulalongkorn University Bangkok Thailand

An optical fiber-based sensor in the configuration of single-multi-single (SMS) modes structure is proposed to detect polyethylene microplastic particles inside aquatic environments via the interaction of light at the interface of optical fiber and the microplastic solutions. Microplastics negatively affect biological systems since living creatures may consume the pollutant. The data on the relationship between the transmittance spectrum and its corresponding wavelength value can be used to correlate and identify the concentration of the microplastic solution. Deposition of gold on the sensing region through sputtering is investigated to improve the sensitivity and reliability of the SMS sensor. This suggests the potential for a gold-coated SMS sensor for in-situ, low-cost and real-time microplastic sensing applications.

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