The Experts below are selected from a list of 185805 Experts worldwide ranked by ideXlab platform
Xin Wang - One of the best experts on this subject based on the ideXlab platform.
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the feasibility and challenges of energy self sufficient wastewater treatment plants
Applied Energy, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Zoe P Robinson, Xin WangAbstract:Energy efficiency optimization is crucial for wastewater treatment plants (WWTPs) because of increasing energy costs and concerns about global climate change. Energy efficiency optimization can be achieved through a combination of energy recovery from the wastewater treatment process and energy saving-related technologies. Through these two approaches energy self-sufficiency of WWTPs is achievable, and research is underway to Reduce Operation costs and energy consumption and to achieve carbon neutrality. In this paper, we analyze energy consumption and recovery in WWTPs and characterize the factors that influence energy use in WWTPs, including treatment techniques, treatment capacities, and regional differences. Recent advances in the optimization of energy recovery technologies and theoretical analysis models for the analysis of different technological solutions are presented. Despite some challenges in implementation, such as technological barriers and high investment costs, particularly in developing countries, this paper highlights the potential for more energy self-sufficient WWTPs to be established in the future.
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energy self sufficient wastewater treatment plants feasibilities and challenges
Energy Procedia, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Xin WangAbstract:Abstract Optimization of energy efficiency is important for wastewater treatment plants (WWTPs). Increasing energy costs and concerns about global climate change highlight the need to realize energy self-sufficiency in WWTPs. Energy self-sufficient WWTPs have been studied to Reduce Operation costs, energy consumption and achieve carbon neutrality. In this paper, we analyzed the energy consumption and recovery in WWTPs. We characterized the comprehensive influence factors of energy use in WWTPs including treatment techniques, treatment capacity and different regions. It is feasible to establish energy self-sufficient WWTPs, although there are still challenges for the implementation of energy self-sufficient WWTPs, such as technology barriers and higher investments, particularly in developing countries.
Pengzhou Luo - One of the best experts on this subject based on the ideXlab platform.
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the feasibility and challenges of energy self sufficient wastewater treatment plants
Applied Energy, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Zoe P Robinson, Xin WangAbstract:Energy efficiency optimization is crucial for wastewater treatment plants (WWTPs) because of increasing energy costs and concerns about global climate change. Energy efficiency optimization can be achieved through a combination of energy recovery from the wastewater treatment process and energy saving-related technologies. Through these two approaches energy self-sufficiency of WWTPs is achievable, and research is underway to Reduce Operation costs and energy consumption and to achieve carbon neutrality. In this paper, we analyze energy consumption and recovery in WWTPs and characterize the factors that influence energy use in WWTPs, including treatment techniques, treatment capacities, and regional differences. Recent advances in the optimization of energy recovery technologies and theoretical analysis models for the analysis of different technological solutions are presented. Despite some challenges in implementation, such as technological barriers and high investment costs, particularly in developing countries, this paper highlights the potential for more energy self-sufficient WWTPs to be established in the future.
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energy self sufficient wastewater treatment plants feasibilities and challenges
Energy Procedia, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Xin WangAbstract:Abstract Optimization of energy efficiency is important for wastewater treatment plants (WWTPs). Increasing energy costs and concerns about global climate change highlight the need to realize energy self-sufficiency in WWTPs. Energy self-sufficient WWTPs have been studied to Reduce Operation costs, energy consumption and achieve carbon neutrality. In this paper, we analyzed the energy consumption and recovery in WWTPs. We characterized the comprehensive influence factors of energy use in WWTPs including treatment techniques, treatment capacity and different regions. It is feasible to establish energy self-sufficient WWTPs, although there are still challenges for the implementation of energy self-sufficient WWTPs, such as technology barriers and higher investments, particularly in developing countries.
Wonbo Shim - One of the best experts on this subject based on the ideXlab platform.
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development of a real time microchip pcr system for portable plant disease diagnosis
PLOS ONE, 2013Co-Authors: Chiwan Koo, Hyun Soo Kim, Osman S. Cifci, Sungman Kim, Kevin Ong, Martha Malapiwight, Vanessa L Vaughndiaz, Haron Abdelraziq, Dennis C Gross, Wonbo ShimAbstract:Rapid and accurate detection of plant pathogens in the field is crucial to prevent the proliferation of infected crops. Polymerase chain reaction (PCR) process is the most reliable and accepted method for plant pathogen diagnosis, however current conventional PCR machines are not portable and require additional post-processing steps to detect the amplified DNA (amplicon) of pathogens. Real-time PCR can directly quantify the amplicon during the DNA amplification without the need for post processing, thus more suitable for field Operations, however still takes time and require large instruments that are costly and not portable. Microchip PCR systems have emerged in the past decade to miniaturize conventional PCR systems and to Reduce Operation time and cost. Real-time microchip PCR systems have also emerged, but unfortunately all reported portable real-time microchip PCR systems require various auxiliary instruments. Here we present a stand-alone real-time microchip PCR system composed of a PCR reaction chamber microchip with integrated thin-film heater, a compact fluorescence detector to detect amplified DNA, a microcontroller to control the entire thermocycling Operation with data acquisition capability, and a battery. The entire system is 25×16×8 cm3 in size and 843 g in weight. The disposable microchip requires only 8-µl sample volume and a single PCR run consumes 110 mAh of power. A DNA extraction protocol, notably without the use of liquid nitrogen, chemicals, and other large lab equipment, was developed for field Operations. The developed real-time microchip PCR system and the DNA extraction protocol were used to successfully detect six different fungal and bacterial plant pathogens with 100% success rate to a detection limit of 5 ng/8 µl sample.
Nahid Mohammadkhani - One of the best experts on this subject based on the ideXlab platform.
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stochastic multi objective energy management in residential microgrids with combined cooling heating and power units considering battery energy storage systems and plug in hybrid electric vehicles
Journal of Cleaner Production, 2018Co-Authors: Mostafa Sedighizadeh, Masoud Esmaili, Nahid MohammadkhaniAbstract:Abstract Governmental incentives to use clean energy, concerns about high and rising prices of fossil fuels, and environmental issues are the most important motivations for adding distributed energy resources to conventional power systems. In these circumstances, new technologies such as combined cooling, heating, and power systems, energy storage systems including battery and thermal storages, and plug-in hybrid electric vehicles not only can improve system efficiency but also can Reduce Operation and investment cost as well as emissions. In this paper, a residential microgrid consisting of combined cooling, heating and power, plug-in hybrid electric vehicles, photovoltaic unit, and battery energy storage systems is modeled to obtain the optimal scheduling state of these units by taking into account the uncertainty of distributed energy resources. To achieve this goal, a scenario-based method is used to model uncertainties of electrical market price, electrical and thermal demand, and solar irradiance using Normal, Weibull, and Beta probability distribution functions, respectively. The scenario tree is used to generate scenarios and representative scenarios are selected with scenario reduction techniques. The proposed problem is formulated as a mixed-integer nonlinear programming to minimize objectives of Operation cost and total emissions. This multi-objective problem is solved by the Augmented ɛ-constraint method and the best solution on the Pareto front set is determined by a fuzzy approach. In order to maintain system reliability during on-peak periods, the time-of-use demand response program is considered to promote a change in energy consumption patterns. Finally, plug-in hybrid electric vehicles are considered as electrical energy storage instead of batteries in optimal energy and emissions management. Proposed energy management is applied on a residential microgrid and the effectiveness of the model is verified. It is found that uncertainties increase the cost by 12.2%; however, energy storage systems Reduce cost and emissions by 4.7% and 23%, respectively.
Hongtao Wang - One of the best experts on this subject based on the ideXlab platform.
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the feasibility and challenges of energy self sufficient wastewater treatment plants
Applied Energy, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Zoe P Robinson, Xin WangAbstract:Energy efficiency optimization is crucial for wastewater treatment plants (WWTPs) because of increasing energy costs and concerns about global climate change. Energy efficiency optimization can be achieved through a combination of energy recovery from the wastewater treatment process and energy saving-related technologies. Through these two approaches energy self-sufficiency of WWTPs is achievable, and research is underway to Reduce Operation costs and energy consumption and to achieve carbon neutrality. In this paper, we analyze energy consumption and recovery in WWTPs and characterize the factors that influence energy use in WWTPs, including treatment techniques, treatment capacities, and regional differences. Recent advances in the optimization of energy recovery technologies and theoretical analysis models for the analysis of different technological solutions are presented. Despite some challenges in implementation, such as technological barriers and high investment costs, particularly in developing countries, this paper highlights the potential for more energy self-sufficient WWTPs to be established in the future.
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energy self sufficient wastewater treatment plants feasibilities and challenges
Energy Procedia, 2017Co-Authors: Pengzhou Luo, Hongtao Wang, Xin WangAbstract:Abstract Optimization of energy efficiency is important for wastewater treatment plants (WWTPs). Increasing energy costs and concerns about global climate change highlight the need to realize energy self-sufficiency in WWTPs. Energy self-sufficient WWTPs have been studied to Reduce Operation costs, energy consumption and achieve carbon neutrality. In this paper, we analyzed the energy consumption and recovery in WWTPs. We characterized the comprehensive influence factors of energy use in WWTPs including treatment techniques, treatment capacity and different regions. It is feasible to establish energy self-sufficient WWTPs, although there are still challenges for the implementation of energy self-sufficient WWTPs, such as technology barriers and higher investments, particularly in developing countries.
