Configuration Plan Research Articles

Optimal distributed generation planning at a local level – A review of Serbian renewable energy development

Abstract With the Law on Energy and its acceptance by the Covenant of Mayors, local authorities in Serbia are obliged to prepare action plans for the development of distributed generation and energy efficiency measures aiming at reducing CO 2 emissions. The development of distributed generation (wind, photovoltaic, hydro and combined heat and power plant) is an asset to the local authorities wishing to become energy independent microgrids that could relieve the national transmission grid in the way of reducing amount of electricity to be transported from centralized generation to the end-user. Using the simulation tool HOMER, an optimal configuration plan of the municipal microgrids for Serbia has been drawn, in order to obtain the lowest total net present costs during the planning period under various levels of CO 2 reduction constraint. The increase of the end-user specific costs for energy has been quantified in a sensitivity analysis based on this constraint in the local authority microgrid.

가파도 마이크로그리드 신재생 에너지 전원 구성 방안

가파도 마이크로그리드 신재생 에너지 전원 구성 방안

발열장치를 이용한 기능성 스마트 파운데이션의 구성 시안

This research was intended to design an experimental girdle with thermal insulation function for adult women in their 20s. The design of the experimental girdle was based on the pattern of commercially available girdle. The final pattern of the experimental girdle was established according to the drawing equations determined based on the result of appearance evaluation. The equations were (waist circumference<TEX>${\times}0.88$</TEX>)/2 for waist circumference, (hip circumference<TEX>${\times}0.77$</TEX>)/2 for hip circumference, and (thigh circumference<TEX>${\times}0.85$</TEX>) for thigh circumference. In order to develop a heating device, the most effective fabric heater was adopted based on the experiments about the number of caron fibers, heater size and attachment site. Three heaters-one with a size of <TEX>$14.5{\times}9.5$</TEX> cm, and the other two with the size of <TEX>$8.0{\times}15.0$</TEX> cm-were attached to the areas corresponding to the lower abdomen and the hip, 5 cm below the waist. A heater was developed by connecting these heaters to a controller, 2 batteries (7.4 V 2000 mAh lithium polymer batteries) and a switch (for mode conversion between high/medium/low temperatures). The heater was integrated into the inside of the girdle, so that attachment and detachment were possible without the change of appearance. The tentative configuration plan was proposed for the development of a functional smart girdle with an excellent thermal insulation effect.

A Practical Case Study: Face Recognition on Low Quality Images Using Gabor Wavelet and Support Vector Machines

Face recognition is a problem that arises on many real world applications, such as those related with Ambient Intelligence (AmI). The specific nature and goals of AmI applications, however, requires minimizing the invasiveness of data collection methods, often resulting in a drastic reduction of data quality and a plague of unforeseen effects which can put standard face recognition systems out of action. In order to deal with this, a face recognition system for AmI applications must not only be carefully designed but also subject to an exhaustive configuration plan to ensure it offers the required accuracy, robustness and real-time performance. This document covers the design and tuning of a holistic face recognition system targeting an Ambient Intelligence scenario. It has to work under partially uncontrolled capturing conditions: frontal images with pose variation up to 40 degrees, changing illumination, variable image size and degraded quality. The proposed system is based on Support Vector Machine (SVM) classifiers and applies Gabor Filters intensively. A complete sensitivity analysis shows how the recognition accuracy can be boosted through careful configuration and proper parameter setting, although the most adequate setting depends on the requirements for the final system.

Study on the Improvement of the Microseismic Network Configuration for San He-Jian Coal Mine

Two seismically active regions and also the occurrence probabilities of strong mining-induced tremors of them are determined by the comprehensive index method to improve the monitoring efficiency of seismological observation system in San He-jian coal mine. The set consisted of 91 candidate points is formed based on the general choosing candidate points of geophone stations. To this kind of large-scale network configuration of combinatorial optimization problem in coal mine, natural number coding method is used to construct the individual genes expression of microseismic network configuration plan in genetic algorithm and the individual fitness function is built to evaluate the performance of configuration plan based on the theory of D-optimal design. Crossover and mutation operators are mixed and improved to prevent the premature convergence of algorithm thus increase its performance. The application results from situation show that: (i) the optimum solution can be quickly solved by the genetic algorithm;(ii) the improved network configuration is better than the currently used one, which is proved by using numerical emulation technique, because it significantly decrease the hypocenter location errors in the key monitoring areas, and the maximum error is reduced by 230m.

Evaluation of Configuration Plans for DGs in Developing Countries Using Advanced Planning Techniques

Many developing countries have emphasis on distributed generation (DG) technology for their generation expansion planning. The planning considerations and judicious choice of attributes are dictated by prevailing conditions. The attributes considered are capital costs, energy not served per annum, and profits from injecting power into the grid at peak load, all of which are important for a developing country. The uncertain futures considered are three possible loading conditions, which can be low, medium and high. Different scenarios (plans) are generated by various combinations of configurations. DGs can be configured as stand-alone mode, hybrid operation, or micro-grid formation with or without grid connection. With the increased complexities in DG planning options along with the multiple attributes to be accounted, more sophisticated techniques other than conventional economic analysis are needed to arrive at correct decisions by decision makers. The analytical hierarchy process (AHP) is used for obtaining relative weights in an objective way. Further, the statistical method like interval-based multi-attribute decision making with tradeoff analysis is used for shortlisting the feasible plans and identifying the most appropriate plan. It is proposed to use the weights obtained from AHP for finding the performance efficiencies in data envelopment analysis (DEA) for evaluating the plans. A new composite utility function is proposed to resolve cases where performance efficiency is insufficient for evaluation in DEA application. The sample system is derived with reference to a rural electrification scheme in India. The assessment of plans is presented and discussed. The comparative strengths and weaknesses of the methods are reported on the basis of the results obtained.

Study of Life-cycle Simulator for Production Line

As manufacturing activities have been widely globalized, it is becoming more and more difficult to respond to changes quickly. It is also important to take a positive stand against environmental issues to pursue the sustainability of the global environment without wasting resources related to production activities. The purpose of this paper is to establish a lifecycle-oriented design method of production systems. For this end, we have developed prototype system for life-cycle simulator, which is constructed by a demand scenario generation module and a simulation assessment module. We also conducted a simple comparative experiment taking two configuration plans for a transfer line and a cell line as examples in order to verify the effectiveness of this proposed technology.

A flexible costing system for flexible manufacturing systems using activity based costing

Flexible manufacturing systems (FMSs) are designed to integrate the flexibility of job shops and the efficiency of mass production systems. Product costing methods have to adapt to this new technological environment. On one hand, the high production overhead cost of these systems requires a special attention to overhead allocation. On the other hand, the constantly changing setup configuration and production plans require a constant recalculation of overhead allocation and an a priori estimation of the expected production cost. This paper introduces the concept of flexible costing in FMSs, and proposes a method that modifies the overhead allocation based on the results of the production plan and on the simulated performance of the process. This approach is illustrated with some numerical examples.

Moksha

Collaborative systems need to provide some means for users to be aware of peer activities. Common approaches involve broadcasting events generated as a result of a particular user's actions at the interface to others. Rather than flooding users with information about all activities occurring in the shared environment, filtration techniques allow each user to be exposed to relevant awareness information. Such techniques are often based on user configurable agents. Unfortunately, these so far do not support satisfactorily the improvisational nature of collaborative activities. This is because user configuration is effective mainly in cases where interactions can be anticipated and where configuration plans can be drawn. It is also difficult for a configurable agent to capture the diversity and the complex interrelationships between collaborative activities. In highly dynamic collaborative environments, the need to synchronise configurations with rapidly evolving needs imposes a heavy task load on participants. In Moksha, our prototypical multi-user desktop, this problem is addressed by extending the desktop metaphor and automating the filtration control process so that it becomes ubiquitous to the user. The cross-client linkage of the desktop interface elements, the use of multi-media and its browsing techniques are the main components underlying our strategy.

Optimum Planning on Material Handling Operation in Container Terminal : 2nd Report, Optimum Design on Berch Configuration

This paper describes the optimum design on the berth configuration extension plan of materials handling systems in container terminals. The operation model with flexible controlled operation rule, which was put forward on the first report of this research, is used to analyze the margin degree of operation ability of the system to increasing operation quantity within a long period. The whole problem is divided into two parts: (a). dynamic programming is used as a basic algorithm for the optimal path of decision-making: (b). nonlinear search programming combined with discrete event system simulation is used for configuration analysis of a given year, especially for the final year's. The minimum total ship waiting time is established as the objective function. Fuzzy set theory is applied to deal with the uncertainty in decision made by terminal management, and the optimal decision-making sequence on the system configuration plan is decided. A case study is analyzed to confirm the validity and effectiveness of the approach.

Neutron irradiation characteristics in international fusion materials irradiation facility

Neutron field and damage parameters for the planned international fusion materials irradiation facility (IFMIF) were estimated for use in developing an irradiation configuration plan using this facility. The facility generates fusion-like neutrons using d—Li reactions with 30–40 MeV and two 125 mA deuteron beams with an angle of 10°, and with a Li jet target with a square beam spot of 50 mm × 200 mm in typical size. The analysis was performed for four standard sample loading models, consisting of Fe or SiC for test materials and NaK or He for coolant. The calculation was carried out by the Monte Carlo code GMVP with the HILO/86-J3 library with the external source obtained from an analytical model. The flux—volume relation was obtained together with the relation of the dpa rate—volume. The dpa—He gas production ratio and nuclear heating were also estimated inside the standard samples.

Form-features for Mechanical Design and Manufacturing

SUMMARY The current status of research in computer-aided mechanical design is investigated. Much effort is currently being made towards the complete automation of the design process; in this context, a form-feature-based modelling system instead of a merely geometric one seems to provide the necessary tool to assist the designer during the product definition. A new feature-based model of representation for a CAD/CAM environment is proposed. This model combines the power of Predicate Logic (Prolog) with the flexibility of Contextual Logic to ensure that the most appropriate line of reasoning is chosen during any inferential stage of the design (form choice, dimensioning, process planning, etc.). The development of a prototype demonstrates the feasibility of this approach; an example with automatic geometry configuration and process plan generation is presented.