The Experts below are selected from a list of 149454 Experts worldwide ranked by ideXlab platform

Xinping Guan - One of the best experts on this subject based on the ideXlab platform.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    Vehicular Technology Conference, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily energy demand. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    arXiv: Optimization and Control, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.

Umakanta Jena - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Evaluation of Thermochemical Liquefaction and Pyrolysis for Bio-Oil Production from Microalgae
    2015
    Co-Authors: Umakanta Jena, K. C. Das
    Abstract:

    Bio-oil is the liquid product of thermochemical liquefaction or pyrolysis of biomass. Thermochemical liquefaction (TCL) is a low temperature (250–350 °C) and high pressure (5–20 MPa) process particularly suited for high moisture feedstocks, whereas pyrolysis is accomplished at moderate to high temperatures (400–600 °C) and atmospheric pressure and requires drying of the feedstock. In this paper, we present experimental results that provide a critical comparison of TCL and slow pyrolysis processes for producing bio-oil from algae. TCL experiments were performed in a 1.8-L Parr reactor using algae slurry (80% moisture) and pyrolysis runs were carried out in an 8-L mild steel cubical reactor, using dried algal powder as received (∼4% moisture). Yields and composition of bio-oil, char, gases, and aqueous phase were evaluated and compared for TCL and pyrolysis. TCL resulted in higher bio-oil yields (∼41%), lower char yields (∼6.3%), and lower energy Consumption Ratio compared to pyrolysis, which resulted in 23–29% bio-oil, and 28–40% solids yields. Bio-oil obtained from TCL was found to have higher energy density and superior fuel properties such as thermal and storage stabilities, compared to pyrolysis bio-oil

  • comparison of the effects of na2co3 ca3 po4 2 and nio catalysts on the thermochemical liquefaction of microalga spirulina platensis
    Applied Energy, 2012
    Co-Authors: Umakanta Jena, K. C. Das, James R Kastner
    Abstract:

    This study investigated the effect of three types of catalysts on the yield of biocrude oil from thermochemical liquefaction (TCL) of the microalga, Spirulina platensis. TCL experiments were performed in a 1.8L batch reactor using an alkali metal catalyst (Na2CO3), an alkaline earth metal (Ca3(PO4)2), and a transition metal oxide (NiO) and compared with non-catalytic TCL results. Na2CO3 was found to increase biocrude oil yield resulting in 51.6% biocrude oil, which was ∼29.2% higher than under non-catalytic conditions and ∼71% and ∼50% higher than when using NiO and Ca3(PO4)2 catalysts, respectively. Presence of NiO and Ca3(PO4)2 increased yields of gaseous products. GC–MS analysis indicated critical differences in chemical composition of the biocrude oil obtained under different catalyst conditions. Biocrude oil from the catalyzed runs had greater abundance of monoaromatic compounds and lesser polyaromatic and aliphatic compounds than that of non-catalyzed reactions. TCL using Na2CO3 reported the lowest energy Consumption Ratio and recovered highest energy in the form of biocrude oil among all treatments. Algal biocrude oil had an energy density of 34–39MJkg−1 compared to 43MJkg−1 for petroleum crude, but had higher oxygen and nitrogen levels. In all cases, the solids conversion was more than 94%. Analysis of solids revealed that 40–60% of the initial catalysts were retained in the solid char.

  • comparative evaluation of thermochemical liquefaction and pyrolysis for bio oil production from microalgae
    Energy & Fuels, 2011
    Co-Authors: Umakanta Jena
    Abstract:

    Bio-oil is the liquid product of thermochemical liquefaction or pyrolysis of biomass. Thermochemical liquefaction (TCL) is a low temperature (250–350 °C) and high pressure (5–20 MPa) process particularly suited for high moisture feedstocks, whereas pyrolysis is accomplished at moderate to high temperatures (400–600 °C) and atmospheric pressure and requires drying of the feedstock. In this paper, we present experimental results that provide a critical comparison of TCL and slow pyrolysis processes for producing bio-oil from algae. TCL experiments were performed in a 1.8-L Parr reactor using algae slurry (80% moisture) and pyrolysis runs were carried out in an 8-L mild steel cubical reactor, using dried algal powder as received (∼4% moisture). Yields and composition of bio-oil, char, gases, and aqueous phase were evaluated and compared for TCL and pyrolysis. TCL resulted in higher bio-oil yields (∼41%), lower char yields (∼6.3%), and lower energy Consumption Ratio compared to pyrolysis, which resulted in 23...

Tian Wang - One of the best experts on this subject based on the ideXlab platform.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    Vehicular Technology Conference, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily energy demand. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    arXiv: Optimization and Control, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.

Bo Yang - One of the best experts on this subject based on the ideXlab platform.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    Vehicular Technology Conference, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily energy demand. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    arXiv: Optimization and Control, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.

Cailian Chen - One of the best experts on this subject based on the ideXlab platform.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    Vehicular Technology Conference, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily energy demand. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.

  • wireless charging lane deployment in urban areas considering traffic light and regional energy supply demand balance
    arXiv: Optimization and Control, 2019
    Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping Guan
    Abstract:

    In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy Consumption Ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.