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An important operation of the Pidgeon process is the reduction of MgO in dolime by FeSi.
The authors, using data of fluorite consumption and an emission factor, calculated a HF gas generation of 34 kg/ton Mg for one of the fuel scenarios using fluorite of 248 kg/ton Mg to catalyze the MgO reduction.
By the cooling, most of the gaseous F compounds become solid particles and remain in the waste of the MgO reduction.
Mass percent values of slag samples 1 and 2 in Table 1 were used as weights in grams to serve as input data of raw materials for FactSage simulations under conditions of 1 atmosphere pressure and temperature of 900-1400ºC and with excess air.
F vaporization rate, calculated by using F content data presented in Table 2 and Eq. 1, are also listed in Table 2

Apeh b Department of Electrical and Electronic Engineering, University of Benin, Benin City, Edo state, Nigeria a sunebi@yahoo.com, b ter_apeh@yahoo.com Keywords: Power generation, maximum load demand, network planning, utilization factor, feeder pillar, reduction factor, voltage drop Abstract.
Load reduction factors shall be applied after the total estimated power was determined.
In compliance with relevant standards[4,5,6,7], a diversity factor of 0.7 between the plots and feeder pillars and 0.8 between the feeder pillars and distribution transformers, resulting to a reduction factor of 0.56 was applied in arriving at the total load for the Injection Substation.
RW : MH = (17-2.5) : 12 = 14.5 : 12 = 1.2 :1 From Thorn lighting catalogue Photometric data for road lanterns, the corresponding coefficient of utilization are as follows; For a road width to mounting height ratio of 1.2 :1, Road side = 0.32 House side = 0.18 Thus, total UF = 0.50 Maintenance Factor (MF) [10] = LDD x LLD
Relevant data on existing load operating conditions, voltage profiles, etc, should be collated.

Related data shows that install VOCs recovery unit (VRU) can produce large quantity of energy-saving efficiency.
From the data comparison analyzes the relationship between VRU recovery rate, emission limits and energy consumption.
The data that mention in this paper can do the contribution to promoting VOCs recovery techniques develop in each industry in china.
Energy-saving Assessment Case Study Taking a 200m3 capacity VRU for example, the detection data showed in table2.
VRU Energy-saving Efficiency Comparison Researchers have did investigation job and detection work toward other VRU in China or abroad countries, some of the energy-saving efficiency data already been done.

In this paper, based on the dynamic partitioning results of the intersection group provided by the software and data collected by traffic flow detectors, the features of dynamic partitioning software for intersection group are further explored from two aspects: traffic control and emergency response to traffic accidents, using the method of green-wave control and traffic guidance respectively.
Introduction In the previous study[2], the intersection group partitioning software has been used to input the real-time traffic data in the road network detected by the traffic flow detector into the partitioning software which can select key intersections in the road network and judge the correlations between intersections using the road section correlation model.
After the accident, the reduction in traffic capacity is reflected in the reduction of lanes available in number (n) and lane width correction factor.

The Table 1 The charge and discharge data of natural graphite in different electrolytes Electrolyte Initial cycle 2nd cycle Charge capacity/ Discharge capacity/ Efficiency/ Charge capacity/ Discharge capacity/ Efficiency/ mAhg-1 mAhg-1 % mAhg-1 mAhg-1 % a 594.5 94.8 15.9 121.7 79.9 65.6 b 429.1 296.5 69.1 326.7 305.6 93.5 c 468.7 66.0 13.5 97.0 62.3 64.2 d 430.8 306.7 71.2 320.4 310.8 97.0 e 338.7 337.1 99.5 340.9 340.0 99.7 Fig. 2 The cyclic volammetric spectra of natural graphite in different electrolytes (subscript 1 and 2 is the initial cycle and the second cycle, respectively.)
The above facts show that the reduction processes of EC-based electrolytes are very moderate and the irreversible capacities are small.
The areas of reduction peaks of type II approach to those of oxidation peaks.
The areas of reduction peak approach to that of oxidation peak.
The strength and areas of the reduction and oxidation peaks in the successive cycle are similar to those in the initial cycle.

Porosity is detrimental to the mechanical properties of magnesium due to reduction in tensile strength, ductility and pressure tightness.
Preparation technologies Thermodynamic calculation of melt-leaching-reduction process.
It proved that reducing Sr by melt-leaching-reduction process was feasible.
Fig.2 showed the microstructure of Mg-Sr binary alloy ingots prepared by melt-leaching-reduction process.
Vol.35 (3) (2003), p.32 [7] Baril E, Labelle P, Pekguleryuz M O: JOM Vol. 55(11) (2003), p.34 [8] Forakis P, Richard E, Argo D: TMS Annual Meeting: Magnesium Technology 2002, Seattle, USA, p.49 [9] Argo D, Lefebvre M: TMS Annual Meeting: Magnesium Technology 2003, San Diego, USA, p.15 [10] YE Da-lun, HU Jian-hua: Practical Thermodynamic Data Handbook of Inorganic Substance (Metallurgical Industry Press, China 2002) [11] Langlais J.

The presence of particles on the surfaces lead to a reduction of the actual metal to metal contact area during roll bonding, hindering the native metal surfaces to come into direct contact and to join by cold welding.
The rolling conditions include thickness reduction, diameter of the rolls, rolling load, speed and temperature.
Here rolling and surface conditions were kept equal for all samples applying a nominal thickness reduction of 50 % and acetone cleaning and scratch brushing for surface treatment.
A dependence on particle material and diameter cannot be identified from the available data.
Summary It was shown that nanoparticle insertion in accumulative roll bonded materials reduces bond strength by an effective reduction of the metal to metal bonding area during the formation of a cold weld.

The first heating scan was employed to obtain the curing data.
The plastifying effect of the ionic liquid resulted in the reduction of the final dynamic-mechanical properties of the systems.
Figure 4 shows that the increase in the ionic liquid content influenced the reduction of the maximum curing temperature.
The reduction in Tg in the greater presence of IL confirms its plasticizer effect.
Table 1 organizes the cure and Tg data.

Two main fibre effects were observed: a significant reduction of irreversible strains when the specimens were loaded and then heated and cooled and a different evolution in LITS passing from 200°C to 400°C, characterized by a significant reduction of the expected deformation.
In order to support high temperatures without loss of data acquisition, the displacements were measured with three LVDTs placed outside the oven and not subjected to high temperatures.
In general, a better prediction was achieved with the introduction of the reduction factor.
From the experimental results, one can notice that the curvature of the experimental LITS compliance (JLITS) curve is modified after 200°C (reduction of LITS growth rate).
· The curvature of the experimental LITS compliance (JLITS) curve is modified after 200°C (reduction of LITS growth rate) and this could be an effect introduced by steel fibres.

In process life cycle assessment, process data is used to compile the life cycle inventory of a product.
The data applied in process life cycle assessment may be collected directly from life cycle inventory databases or other data sources.
iii) In hybrid life cycle assessment, a combination of process, sectoral input-output and environmental account data is used.
Similarly, the data generated shows that if we use any of the recent assessment methods suggested by different authors, the EE used for constructing load bearing masonry buildings using innovative materials and techniques is less as compared to conventional construction methods.
[13] Pullen, S.F., Data quality of embodied energy methods, proceedings of the seminar on Embodied Energy: Deakin University, Geelong, Australia, 1996, p. 39–49