The Experts below are selected from a list of 98112 Experts worldwide ranked by ideXlab platform

Gequn Shu - One of the best experts on this subject based on the ideXlab platform.

  • operational profile based thermal economic analysis on an organic rankine cycle using for harvesting marine engine s exhaust waste heat
    Energy Conversion and Management, 2017
    Co-Authors: Gequn Shu, Hua Tian, Peng Liu, Xuan Wang, Dongzhan Jing
    Abstract:

    Abstract Escalating crude oil price and environmental problem are attracting more interest in methods to improve thermal efficiency and Reduce Emission of shipping. Comparatively, The Organic Rankine cycle (ORC) offers a good solution to utilize low-medium quality waste heat from marine engine. In this paper, an operational profile based thermal-economic evaluation model is established providing reliable evaluation on Organic Rankine cycle used for waste heat utilization from marine diesel engines. Base on this model, ORC system is proposed and designed based on the ship’s most typical operational condition. The effect of ship’s operating condition on ORC thermodynamic performance among seven working fluid candidates is analyzed. Thermal-economic analysis is presented with increasing attention to the ship’s operational profile based on the measurement data from 4-week navigation of objective passenger cruise ship. The result indicates that: considering the different thermodynamic properties, R123 is capable of outputting power at heavy load of engine, while R365mfc is more suitable at light load of engine. Taking typical operational profile into consideration, R123 suits better when ORC is designed for container ships, while R365mfc is suggested for bulk carrier and tankers. For the investigated case study, compared with estimation using nominal design output power, the electricity production cost EPC increased by around 36–41% when operational profile is included. Nominally, all working fluid candidates can satisfy 5-year payback limit except RC318. However, only R123, R365mfc and R245ca are feasible when operational profile is considered. This result makes clear that real operational profile is indispensable for assessing the feasibility of technology.

  • experimental comparison of r123 and r245fa as working fluids for waste heat recovery from heavy duty diesel engine
    Energy, 2016
    Co-Authors: Gequn Shu, Mingru Zhao, Hua Tian, Yongzhan Huo, Weijie Zhu
    Abstract:

    Organic Rankine Cycle (ORC) on-board is a solution for vehicles to save energy and Reduce Emission. Considering the characteristics of waste heat from vehicle, the criterions of the suitable working fluid are very strict. R123 and R245fa have been widely used in companies and labs, however, the difference of their properties under different engine conditions still requires further study. During this research, a series of experiments have been done to compare the performance of these two working fluids, what's more, to determine under which engine conditions they are suitable separately. These experimental comparisons are new and important for the targeting design of ORC for vehicles. The result shows that, considering the difference of thermodynamic properties and the limited cooling capacity on board, R123 shows its advantage for the waste heat recovery at heavy duty, while R245fa is more suitable at light-and-medium duty. These properties make R123 suitable for the ORC designed for long-haul heavy-duty truck, while R245fa is suggested for city bus. The following performance test of R123 for waste heat recovery from heavy-duty diesel engine shows that the maximum fuel consumption improvement can be as much as 2.8%.

Slim Ben Youssef - One of the best experts on this subject based on the ideXlab platform.

  • The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia
    Renewable & Sustainable Energy Reviews, 2015
    Co-Authors: Mehdi Ben Jebli, Slim Ben Youssef
    Abstract:

    We use the autoregressive distributed lag (ARDL) bounds testing approach for cointegration with structural breaks and the vector error correction model (VECM) Granger causality approach in order to investigate relationships between per capita CO2 Emissions, GDP, renewable and non-renewable energy consumption and international trade (exports or imports) for Tunisia during the period 1980–2009. We show the existence of a short-run unidirectional causality running from trade, GDP, CO2 Emission and non-renewable energy to renewable energy. Our long-run estimates show that non-renewable energy and trade have a positive impact on CO2 Emissions, whereas renewable energy impacts weakly and negatively CO2 Emission when using the model with exports and this impact is statistically insignificant when using the model with imports. The inverted U-shaped environmental Kuznets curve (EKC) hypothesis is not supported graphically and analytically in the long-run. This means that Tunisia has not yet reached the required level of per capita GDP to get an inverted U-shaped EKC. Our main policy recommendations for Tunisia are the following: (i) to radically reform the subsidies system granted by the Tunisian government for fossil fuels consumption; (ii) to encourage the use of renewable energy and energy efficiency by reinforcing actual projects and regulatory framework; (iii) to locate ports near exporting industrial zones (or vice versa) to Reduce Emission of pollution caused by the transport of merchandise; (iv) to elaborate a strategy for maximizing its benefit from renewable energy technology transfer occurring when importing capital goods; (v) to encourage the creation of renewable energy projects for export to the EU with a proportion of production for national consumption.

G K Venayagamoorthy - One of the best experts on this subject based on the ideXlab platform.

  • plug in vehicles and renewable energy sources for cost and Emission reductions
    IEEE Transactions on Industrial Electronics, 2011
    Co-Authors: Ahmed Yousuf Saber, G K Venayagamoorthy
    Abstract:

    The electricity and transportation industries are the main sources of greenhouse gas Emissions on Earth. Renewable energy, mainly wind and solar, can Reduce Emission from the electricity industry (mainly from power plants). Likewise, next-generation plug-in vehicles, which include plug-in hybrid electric vehicles (EVs) and EVs with vehicle-to-grid capability, referred to as “gridable vehicles” (GVs) by the authors, can Reduce Emission from the transportation industry. GVs can be used as loads, energy sources (small portable power plants), and energy storages in a smart grid integrated with renewable energy sources (RESs). Smart grid operation to Reduce both cost and Emission simultaneously is a very complex task considering smart charging and discharging of GVs in a distributed energy source and load environment. If a large number of GVs is connected to the electric grid randomly, peak load will be very high. The use of traditional thermal power plants will be economically and environmentally expensive to support the electrified transportation. The intelligent scheduling and control of GVs as loads and/or sources have great potential for evolving a sustainable integrated electricity and transportation infrastructure. Cost and Emission reductions in a smart grid by maximum utilization of GVs and RESs are presented in this paper. Possible models for GV applications, including the smart grid model, are given, and results are presented. The smart grid model offers the best potential for maximum utilization of RESs to Reduce cost and Emission from the electricity industry.

Mohand Tazerout - One of the best experts on this subject based on the ideXlab platform.

  • Continuous production of water-in-oil emulsion using micromixers
    Fuel, 2013
    Co-Authors: Agnès Montillet, Soumia Nedjar, Mohand Tazerout
    Abstract:

    Abstract The formation of emulsions is a critical application that interests many industrial fields. Among the various interests to produce emulsions, this work focuses on the emulsification of water in fuels, in order to improve combustion and Reduce Emission of harmful gases. The manufacturing process of these emulsions must meet a number of constraints such as water fraction, mean droplet size, delivered flow rate and process energy consumption. Among possible techniques, this study focuses on the implementation of crossing microchannels. For this purpose, two geometries of the cross section of the channels have been tested. The implementation of several flow configurations has also been investigated. Other parameters were varied such as the variation of the ratio of flow rates of lipid phase and water, the nature and content of surfactant. In conclusion, obtaining emulsions of water in oil having a mean droplet size of about 4 μm was possible with several operating conditions. Channel geometry and flow pattern have a significant influence on the possibility of forming this type of emulsions.

  • Continuous production of water-in-oil emulsion using micromixers
    Fuel, 2013
    Co-Authors: Agnès Montillet, Soumia Nedjar, Mohand Tazerout
    Abstract:

    The formation of emulsions is a critical application that interests many industrial fields. Among the various interests to produce emulsions, this work focuses on the emulsification of water in fuels, in order to improve combustion and Reduce Emission of harmful gases. The manufacturing process of these emulsions must meet a number of constraints such as water fraction, mean droplet size, delivered flow rate and process energy consumption. Among possible techniques, this study focuses on the implementation of crossing microchannels. For this purpose, two geometries of the cross section of the channels have been tested. The implementation of several flow configurations has also been investigated. Other parameters were varied such as the variation of the ratio of flow rates of lipid phase and water, the nature and content of surfactant. In conclusion, obtaining emulsions of water in oil having a mean droplet size of about 4 lm was possible with several operating conditions. Channel geometry and flow pattern have a significant influence on the possibility of forming this type of emulsions. (C) 2012 Elsevier Ltd. All rights reserved.

Sanghita Basu - One of the best experts on this subject based on the ideXlab platform.

  • Exploring the impact of economic growth, trade openness and urbanization with evidence from a large developing economy of India towards a sustainable and practical energy policy
    Clean Technologies and Environmental Policy, 2020
    Co-Authors: Sanghita Basu
    Abstract:

    Causal relationship among economic growth, urbanization, energy consumption, renewable energy share, trade openness and carbon Emissions in the context of a large developing economy of India over the period 1990–2015 is examined in this study. The results support the existence of co-integration among the major variables. Ridge regression is done to model the impact of these variables on carbon Emission. Estimated coefficients of economic growth and energy consumption are positive and significant. The major contribution to carbon Emission in India comes from total energy consumption (34.12%) and economic growth (12.49%), while renewable energy consumption shows negative impact (− 29.76%). Results support feedback hypothesis among trade and carbon Emission. This is revealed that the increase in GDP and trade openness facilitates adoption of renewable and energy-efficient technologies to Reduce Emission. In view of continued heavy dependence on indigenous fossil fuel coal as the major energy provider, concern should be adoption of ultra-low-Emission technology in coal-fired power plants for immediate relief. Development of renewable energy sources coupled with switching to electric mass transport systems and large-scale adoption of energy-efficient green technologies appear as the other most practical and sustainable policy suggestions for a vast economy like India. Graphic abstract