Resources measurement

If the random errors are higher than can be tolerated to meet the goals of the test, the errors can be compensated for with rephcate measurements and a commensurate increase in the laboratory resources. Measurement bias can be identified through submission and analysis of known samples. Establishing and justifying the precision and accuracy reqrtired by the laboratory is a necessary part of estabhshing confidence. 

In the following, the basic principle of the flexible recipes is presented. To keep the explanations simple, we consider only one single type of end product that is produced from one single raw material on one resource at a specific location during a given period. Required are the maximum process throughput of the resource measured in tons of output per hour and the input of raw material and output of finished products, respectively. In many types of chemical mass production, raw material consumption depends on the utilization rate of the equipment employed. Hence, linear recipe functions can be derived, which indicate the input of raw material required to produce the desired amount of output. 

For the characterization of solar resource, measured irradiance data as well as site-specific parameters are needed. These include geographic information (site latitude and longitude) for the calculation of the solar angle that also varies during the day, as well as ambient temperature for the estimation of the photovoltaic module temperature (Manwell, 1998). 

FIGURE 84.5 Screen capture from NCRA software illustrating results for one individual applied to amodel of driving performance. Overall driving performance level (HLT performance) and limiting performance resources (in this case torso rotation range of motion ) are predicted based on a set of more basic performance resource measures (BPRs). BPR measures are lower-level performance capacities relative to the higher-level task modeled. 

Saving potential resources, measured in t/y fuel oil Saving potential greenhouse effect, measured in t/y CO2 equivalents... 

All these measures can are developed in order to avoid the risks to human resources. In the TO-BE simation, these human resource risks should be avoided with the help of the dilferent human resource measures. Furthermore, two different dimensions increase employee motivation significantly are job content, on one hand, and the work environment, on the other. 

In such an individualistic, voluntary, and competitive system, power is well specified and consists of nothing more or less than wealth. In such a system money will buy anything, and thus the amount of power an actor can exert in the system (that is, the degree to which he can realize the outcomes he desires) is merely the amount of money (or other resources measured in terms of the money they can be exchanged for) he holds. ... 

Accident research and practical safety work in factories and workshops has so far primarily been conducted from an engineering point of view. Its goal has been the improvement of technical precautions. Thus, it has been possible to reduce the number of accidents by means of constructive and resourceful measures. The procedure used has been essential and successful, but is not sufficient. It does not take the manifold psychological and organizational problems into account, which are important to accident histories. These are, to name only a few, the inadequate acceptance of technical safety precautions, too little information to be able to work safely, limits to the human capacities for perception and information processing, pressure resulting from too little time or from compulsion to perform. Problem areas of this type can not be overlooked when work on safety is being done. 

An example of an application of CAO is its use in optimising the distribution of gas in a gas lift system (Fig. 11.3). Each well will have a particular optimum gas-liquid ratio (GLR), which would maximise the oil production from that well. A CAO system may be used to determine the optimum distribution of a fixed amount of compressed gas between the gas lifted wells, with the objective of maximising the overall oil production from the field. Measurement of the production rate of each well and its producing GOR (using the test separator) provides a CAO system with the information to calculate the optimum gas lift gas required by each well, and then distributes the available gas lift gas (a limited resource) between the producing wells. 

It is known that diagram " Stress - Deformation " ( SD) is more vividly specifying the current metalwork condition. However, such diagram can be obtained only by destructive testing. The suggested non-destructive magnetic method in the report for the evaluation of SD condition and for the prediction of residual resource of metalwork, where the measurement of coercive force (CF) is assumed as a basis. 

The principal source of helium is certain natural gas fields. The helium contents of more than 10,000 natural gases in various parts of the world have been measured (9). Helium concentrations of a few are Hsted in Table 2. In the United States, recovery of helium is economical only for helium-rich gases containing more than about 0.3 vol % belium. Most of the United States helium resources are located in the midcontinent and Rocky Mountain regions, and about 89% of the known United States supply is in the Hugoton field in Kansas, Oklahoma, and Texas the Keyes field in Oklahoma the Panhandle and Cliffside fields in Texas and the Riley Ridge area in Wyoming (11). 

Oil Fields. Oil field waters in the United States containing lithium have been identified in 10 states. The greatest concentrations are in waters from the Smackover formation of southern Arkansas and eastern Texas. Concentrations from this formation have been measured from 300—600 ppm in waters originating at a 2500—3300 m depth. Recovery of lithium from this resource would only be commercially feasible if a selective extraction technique could be developed. Lithium as a by-product of the recovery of petroleum (qv), bromine (qv), or other chemicals remains to be exploited (12). 

Demonstrated reserve quantities are estabUshed by measurements including drillings surface sampling, etc. Inferred reserves are those derived from geological survey information, not by measurement of the extent of the particular reserve. Not included herein are identified marginal and speculative resources, such as the oil-field and geothermal brines and lithium-hearing clays. These latter reserves are speculative as to extent, not existence. Total undiscovered clays in the western United States are speculatively estimated at 15 x 10 t lithium (16). More detailed Hsts of reserves are also available (15,17). 

Air Quality Criteria forTead Supplement to the 1986 Addendum, U.S. EPA, Environmental Criteria and Assessment Office, Washington, D.C., 1990. Technical Support Document to Proposed Airborne Toxic Control Measure for Emissions of Toxic Metalsfrom Non-Ferrous Metal Melting, State of California Air Resources Board, Stationary Source Division, Sacramento, Calif., 1992. 

Is R D s role in the business understood Are technology plans developed and broadly understood Are R D resources organized in the best way to carry out its mission Is the organizational climate assessed Does the organization have measures for success Does the organization learn Audits in place ... 

An extensive pesticide properties database was compiled, which includes six physical properties, ie, solubiUty, half-life, soil sorption, vapor pressure, acid pR and base pR for about 240 compounds (4). Because not all of the properties have been measured for all pesticides, some values had to be estimated. By early 1995, the Agricultural Research Service (ARS) had developed a computerized pesticide property database containing 17 physical properties for 330 pesticide compounds. The primary user of these data has been the USDA s Natural Resources Conservation Service (formerly the Soil Conservation Service) for leaching models to advise farmers on any combination of soil and pesticide properties that could potentially lead to substantial groundwater contamination. 

Oil prices and operating costs are the key to economic development of tar sand deposits. However, two technical conditions of vital concern for economic development are the concentration of the resource (percent bitumen saturation) and its accessibiHty, usually measured by the overburden thickness. 

United Nations Committee on Natural Resources, Report of the Secretay General on Strategies and Measures for the Implementation of the Mar del Platta Action Plan in the 1990s, 1991. 

Roundwood equivalent is also sometimes used. It refers to the volume of logs or other round products required to produce a given quantity of lumber, plywood, wood pulp, and other wood products (2). Roundwood equivalents may be used ia assessiag the overall wood resource supply and demand or ia comparing wood products measured ia different units. 

Finding the best solution when a large number of variables are involved is a fundamental engineering activity. The optimal solution is with respect to some critical resource, most often the cost (or profit) measured in doUars. For some problems, the optimum may be defined as, eg, minimum solvent recovery. The calculated variable that is maximized or minimized is called the objective or the objective function. 

Operators are primarily concerned with stable operation and may be leeiy of altering the operation they may fear that operation will drift into a region that cannot be controlled. Supervision may be reluc tant despite their recognizing that a problem exists Any deficiencies with the operation or operating decisions is their responsibility. Permission for conducting the test from the supervisor and the operators will be required. Management cooperation will be required particularly if capital is ultimately needed. Maintenance will be called upon to make modifications to sample locations and perform a sequential pressure measurement. The laboratory personnel, discussed in detail in the next subsection, may view the unit test as an overload to available resources. These concerns must be addressed to ensure accurate sample interpretation. 

Preliminary Test Operation of the unit shoiild be set at the test protocol conditions. A preliminaiy set of samples should be taken to identify problems with instruments, measurements, and sample locations. This preliminaiy set of measurements should also be an yzed in the same manner that the full-test results will be analyzed to ensure that the measurements wiU lead to the desired results. Modifications to the test protocol can be made prior to exerting the effort and resources necessary for the complete test. 

Analyst Analysts must have a firm understanding of the operation of the unit. If they are not involved in the day-to-day operation or responsible for the unit, more preliminaiy work including process familiarization, equipment familiarization, operator interviews, and constraint hmitations will be required. Even when an analyst is responsible, a review is necessaiy. Analysts must firmly estabhsh the purpose of the unit test. Different levels require different budgets, personnel, and unit commitment. Additional resources beyond that required for routine measurements must be justified against the value of the measurements to the establishment of the understanding of the plant operation. 

Measurement Selection The identification of which measurements to make is an often overlooked aspect of plant-performance analysis. The end use of the data interpretation must be understood (i.e., the purpose for which the data, the parameters, or the resultant model will be used). For example, building a mathematical model of the process to explore other regions of operation is an end use. Another is to use the data to troubleshoot an operating problem. The level of data accuracy, the amount of data, and the sophistication of the interpretation depends upon the accuracy with which the result of the analysis needs to oe known. Daily measurements to a great extent and special plant measurements to a lesser extent are rarelv planned with the end use in mind. The result is typically too little data of too low accuracy or an inordinate amount with the resultant misuse in resources. 

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