Sarikprueck, Piampoom

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School of Engineering

piampoom.sa@kmitl.ac.th

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Guest Editorial Advances in Energy Conversion, Control, Operation and Planning Towards Self-Sustained Highway Transportation Energy System
(2024-01-01)
Ding, Zhaohao
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Dehghanian, Payman
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He, Jiangbiao
;
Fang, Sidun
;
Illindala, Mahesh
As a major components of modern transportation systems, the highway transportation system is one of the most significant carbon emission contributors in the entire transportation sector. Although there are numerous distributed renewable resources along the highway system, their diversified inherent characteristics and heterogeneous operational conditions present challenges to fully utilize those clean energy resources for the highway transportation system. Towards the carbon neutrality targets, it is important to investigate the integrated multi-energy conversion, control, operation and planning for the self-sustained highway transportation system from an energy-transportation nexus perspective. Therefore, the coordinated interaction of the various components of the highway transportation energy system becomes essential. This entails not only advancements in energy conversion technologies but also the development of intelligent control systems, sustainable operational models, and forward-thinking planning to enable self-sustained energy ecosystems along the highway.
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Phase stability, fuel properties, and diesel engine performance of palm-oil-based microemulsion biofuels
(2023-05-01)
Attaphong, Chodchanok
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Morawan, Nattaya
;
Sarikprueck, Piampoom
;
Charoensaeng, Ampira
;
Khaodhiar, Sutha
Microemulsification and blending are two viscosity-modifying techniques of vegetable oils for direct use with diesel engine. In this study, alcohol blends are mixtures of ethanol, diesel, and palm-oil biodiesel while microemulsion biofuels are thermodynamically stable, clear, and single-phase mixtures of diesel, palm oil, and ethanol stabilized by surfactants and cosurfactants. Although there are many studies on biofuels lately, there is limited research on using biodiesel as a surfactant in microemulsion formulations and applied on engine performance at different engine loads. Therefore, the objectives are to investigate phase stability and fuel properties of formulated biofuels (various blends and microemulsions), to determine the engine performance at different engine loads (no load, and from 0.5 to 2.0 kW), and to estimate laboratory-scale cost of the selected biofuels compared to diesel and biodiesel. The results showed that phase stability and fuel properties of selected microemulsion biofuels are comparable to diesel and biodiesel. These microemulsion biofuels can be applied to the diesel engine at different loads while diesel-ethanol blends and palm-oil-biodiesel-ethanol blends cannot be. It was found that the energy efficiencies of the system using microemulsion biofuels were slightly lower than the average energy efficiency of diesel engine. From this study, it can be summarized that microemulsion biofuels can be formulated using palm-oil biodiesel (palm-oil methyl ester) as a bio-based surfactant and they can be considered as environmentally-friendly alternatives to diesel and biodiesel. However, cost considerations showed that the raw materials should be locally available to reduce additional costs of microemulsion biofuels.
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A Linear Program for System-Level Control of Regional PHEV Charging Stations
(2016-05-01)
Kulvanitchaiyanunt, Asama
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Chen, Victoria C.P.
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Rosenberger, Jay
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Sarikprueck, Piampoom
;
Lee, Wei Jen
This paper studies dynamic control of a system of plug-in hybrid electric vehicle (PHEV) charging stations. A finite horizon stochastic program is presented. Based upon the 15-min updated period of the electricity market price, the objective function is to maximize profit, which is the revenue benefit from selling back to the grid and the charging of the vehicles minus the cost of buying electricity from the grid. The state variables in each 15-min time period consist of the total wind purchased from the system, solar power generation at each charging station, total demand at each station, and nodal market price at stations' location. A stochastic program is formulated, and the mean value problem as a deterministic linear program is solved. Potential strategies are presented to provide insight into the behavior of the system.
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Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration
(2020-09-01)
Teng, Fei
;
Ding, Zhaohao
;
Hu, Zechun
;
Sarikprueck, Piampoom
This article proposes a comprehensive technical review on advanced approaches for electric vehicle charging demand management. The survey is divided into two parts. Part I consists of two major sections. In the former section, the applications for participating in electric power markets, including energy market and ancillary service market, are reviewed. The applications for enhancing renewable energy integration as single energy and multienergy sources are reviewed in the latter section.
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Medium-term operation for an industrial customer considering demand side management and risk management
(2015-01-01)
Ding, Zhaohao
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Sarikprueck, Piampoom
;
Lee, Wei Jen
Under a deregulated market environment, industrial customers can participate in multiple markets with different time range to purchase electricity. Transactions in different markets make the industrial customer involve in different level of cost uncertainties and risks. To solve this energy procurement portfolio problem, a medium-term operation model is proposed. The risk-term is measured and managed by mean-variance approach. The uncertainties in the proposed model are characterized by stochastic day-ahead and real-time prices generated based on ERCOT historical data. A sample case study is provided to illustrate and verify the proposed model.
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Bounds for Optimal Control of a Regional Plug-in Electric Vehicle Charging Station System
(2018-03-01)
Sarikprueck, Piampoom
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Lee, Wei Jen
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Kulvanitchaiyanunt, Asama
;
Chen, Victoria C.P.
;
Rosenberger, Jay M.
In order to support the increasing penetration of plug-in electric vehicle (PEV) users, a novel regional PEV charging station system with dc level 3 fast charging is proposed in this paper. To promote sustainable development, the proposed system is designed to be equipped with a distributed energy storage system charged by wind generation, solar photovoltaic (PV) generation, and electricity from the power grid, which can simultaneously charge multiple PEVs. The objective of the proposed system is to minimize operational cost. Wind/solar PV generation and electricity market price are input state variables in this problem, and are predicted by support vector regression (SVR). The uncertainties of the SVR models are analyzed using a martingale model forecast evolution. Finally, bounds of the optimal operational cost in this problem are evaluated with two stochastic measures, which can be solved using the expected value problem and the wait-and-see solution. Bounds from experiments simulating models of the Dallas-Fort Worth metroplex show that the largest uncertainty in the system occurs during weekdays in the summer.

Sarikprueck, Piampoom

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