نتایج جستجو برای: iv possibility of fuel

تعداد نتایج: 21192215  

2014
Josip Lorincz Milutin Kapov

Base station sites (BSSs) powered with renewable energy sources have gained the attention of cellular operators during the last few years. This is because such “green” BSSs impose significant reductions in the operational expenditures (OPEX) of telecom operators due to the possibility of on-site renewable energy harvesting. In this paper, the green BSSs power supply system parameters detected t...

Journal: :Eng. Appl. of AI 2010
J. D. Zhang G. Rong

In refinery, fuel gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of fuel gas system helps the refinery to achieve energy cost reduction and cleaner production. However, imprecise natures in the system, such as prediction of production rate of fuel gas, prediction of energy demand of the equipments and cost coeffi...

2007
Andrzej Kowalewicz Grzegorz Pawlak

The objective of the work was investigation of possibility of dual fuelling of CI engine with diesel fuel and ethyl alcohol in order to decrease engine emission and increase its thermal efficiency. Alcohol, which is injected to the engine inlet port evaporates quickly, but doesn't ignite (due to low cetane number). After self-ignition of diesel fuel, ignited alcohol would promote further burnin...

Journal: :Journal of microbiology and biotechnology 2010
Piotr Piela Tadeusz Michałowski Renata Miltko Krzysztof Szewczyk Radosław Sikora Elzbieta Grzesiuk Anna Sikora

Bacteria, fungi and protozoa inhabiting the rumen, the largest chamber of the ruminants' stomach, release large quantities of hydrogen during the fermentation of carbohydrates. The hydrogen is used by coexisting methanogens to produce methane in energy-yielding processes. This work shows, for the first time, a fundamental possibility of using a hydrogen-rich fermentation gas produced by selecte...

2017
Carlo Santoro Catia Arbizzani Benjamin Erable Ioannis Ieropoulos

In the past 10-15 years, the microbial fuel cell (MFC) technology has captured the attention of the scientific community for the possibility of transforming organic waste directly into electricity through microbially catalyzed anodic, and microbial/enzymatic/abiotic cathodic electrochemical reactions. In this review, several aspects of the technology are considered. Firstly, a brief history of ...

2017
Rashid A. Aziz Morgan Raymond Heikal

Combustion phasing is the main obstacle to the development of controlled auto-ignition based (CAI) engines to achieve low emissions and low fuel consumption operation. Fuel combinations with substantial differences in reactivity, such as diesel/compressed natural gas (CNG), show desirable combustion outputs and demonstrate great possibility in controlling the combustion. This paper discusses a ...

2008
Yong Tae Kim Eun Duck Park Hyun Chul Lee Doohwan Lee Kang Hee Lee

Introduction The fuel processor in which hydrocarbon fuels can be converted into hydrogen has recently attracted much attention as a result of the advancement in the fuel cell technology. In a fuel processor, the water-gas shift (WGS) reaction plays a crucial role in the transformation of CO, a well-known poisonous gas to electrode of fuel cell, into hydrogen through reaction with steam. In WGS...

2010
Raouia Ayachi Nahla Ben Amor Salem Benferhat Rolf Haenni

Qualitative possibilistic networks, also known as min-based possibilistic networks, are important tools for handling uncertain information in the possibility theory framework. Despite their importance, only the junction tree adaptation has been proposed for exact reasoning with such networks. This paper explores alternative algorithms using compilation techniques. We first propose possibilistic...

Journal: :CoRR 2016
Maroua Haddad Philippe Leray Nahla Ben Amor

There has been an ever-increasing interest in multi-disciplinary research on representing and reasoning with imperfect data. Possibilistic networks present one of the powerful frameworks of interest for representing uncertain and imprecise information. This paper covers the problem of their parameters learning from imprecise datasets, i.e., containing multi-valued data. We propose in the first ...

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