Transient operational performance of integrated solar greenhouse – Desalination system: Case study of Mediterranean mild winter condition

2019 ◽  
Author(s):  
Kabir Abdullahi ◽  
Alaa H. Salah ◽  
Hassan E. S. Fath
Keyword(s):  
Operational Performance ◽  
Winter Condition ◽  
Mild Winter ◽  
Solar Greenhouse

Development of a Design for Additive Manufacturing Worksheet for Medical Casts

2021 ◽  
Author(s):  
Heena Noh ◽  
Kijung Park ◽  
Kiwon Park ◽  
Gül E. Okudan Kremer
Keyword(s):  
Additive Manufacturing ◽  
High Strength ◽  
Design Guidelines ◽  
Operational Performance ◽  
Design For Additive Manufacturing ◽  
Trade Offs ◽  
Novice Designers ◽  
Criteria Importance ◽  
Design For Am

Abstract Traditional plaster casts often cause dermatitis due to disadvantages in usability and wearability. Additive manufacturing (AM) can fabricate customized casts to have light-weight, high strength, and better air permeability. Although existing studies have provided design for additive manufacturing (DfAM) guidelines to facilitate design applications for AM, most relevant studies focused on the mechanical properties of outputs and too general/specific design guidelines; novice designers may still have difficulty understanding trade-offs between functional and operational performance of various DfAM aspects for medical casts. As a response, this study proposes a DfAM worksheet for medical casts to effectively guide novice designers. First, important DfAM criteria and their possible solutions for medical casts are examined through a literature review to construct a basic DfAM framework for medical casts. Next, a scoring system that considers relative criteria importance and criteria evaluation from both functional and operational perspectives is developed to identify the overall suitability of a medical cast design for AM. A case study of finger cast designs was performed to identify the DfAM performance of the sample designs along with redesign requirements suggested by the worksheet. The proposed worksheet would be used to achieve rapid medical cast design by objectively assessing its suitability for AM.

Prevent/Control Identity Theft

2012 ◽  
Vol 25 (3) ◽  
pp. 30-60 ◽  
Author(s):  
Mahmud A. Shareef ◽  
Vinod Kumar
Keyword(s):  
Literature Review ◽  
Purchase Intention ◽  
Banking Sector ◽  
Identity Theft ◽  
Operational Performance ◽  
Application Framework ◽  
Management Tools ◽  
And Control ◽  
The Impact

This study provides an application framework toward measures to prevent/control identity theft in conjunction with sources. It also identifies the impact of overall protection of identity theft on consumer trust, the cost of products/services, and operational performance, all of which in turn contribute to a purchase intention using E-commerce (EC). For the first objective, this study proposes a matrix of sources and measures to prevent and control identity theft. From this matrix, using knowledge from a literature review and judgment based on plausibility, the authors identify global laws, controls placed on organizations, publications to develop awareness, technical management, managerial policy, risk management tools, data management, and control over employees are the potential measuring items to prevent identity theft related to EC. A case study in banking sector through a qualitative approach was conducted to verify the proposed relations, constructs, and measuring items. For the second objective, this research paper conceptualizes a model based on literature review and validates that based on the case study in the financial sector. The model reflects the effects of preventing and controlling identity theft on the costs of products/services, operational performance, and customers’ perception of trust, which would lead to purchase intention in EC.

A Case Study of Optimizing Combined Cycle Performance at Kalaeloa

2009 ◽  
Author(s):  
Helmer Andersen
Keyword(s):  
Power Plants ◽  
Performance Monitoring ◽  
Combined Cycle ◽  
Plant Performance ◽  
Operational Performance ◽  
Cycle Performance ◽  
Monitoring Tools ◽  
Online Performance Monitoring ◽  
On Line

Fuel is by far the largest expenditure for energy production for most power plants. New tools for on-line performance monitoring have been developed for reducing fuel consumption while at the same time optimizing operational performance. This paper highlights a case study where an online performance-monitoring tool was employed to continually evaluate plant performance at the Kalaeloa Combined Cycle Power Plant. Justification for investment in performance monitoring tools is presented. Additionally the influence of various loss parameters on the cycle performance is analyzed with examples. Thus, demonstrating the potential savings achieved by identifying and correcting the losses typically occurring from deficiencies in high impact component performance.

A Voxel-Based Numerical Method for Computing and Visualising the Workspace of Offshore Cranes

2015 ◽  
Author(s):  
Lars I. Hatledal ◽  
Filippo Sanfilippo ◽  
Yingguang Chu ◽  
Houxiang Zhang
Keyword(s):  
Numerical Method ◽  
Three Dimensional ◽  
Point Clouds ◽  
Third Party ◽  
Operational Performance ◽  
The Monte Carlo Method ◽  
Load Limit ◽  
Offshore Crane ◽  
Safe Working

Workspace computation and visualisation is one of the most important criteria in offshore crane design in terms of geometry dimensioning, installation feasibility and operational performance evaluation. This paper presents a numerical method for the computation and visualisation of the workspace of offshore cranes. The Working Load Limit (WLL) and the Safe Working Load (SWL) can be automatically determined. A three-dimensional (3D) rectangular grid of voxels is used to describe the properties of the workspace. Firstly, a number of joint configurations are generated by using the Monte Carlo method, which are then mapped from joint to Cartesian space using forward kinematics (FK). The bounding box of the workspace is then derived from these points, and the voxels are distributed on planes inside the box. The method distinguishes voxels by whether they are reachable and if they are on the workspace boundary. The output of the method is an approximation of the workspace volume and point clouds depicting both the reachable space and the boundary of the workspace. Using a third-party software that can work with point clouds, such like MeshLab, a 3D mesh of the workspace can be obtained. A more in-depth description and the pseudo-code of the presented method are presented. As a case study, the workspace of a common type of offshore crane, with three rotational joints, is computed with the proposed method.

scholarly journals Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 976 ◽  
Author(s):  
Jinqiu Li ◽  
Qingqin Wang ◽  
Hao Zhou
Keyword(s):  
Environmental Quality ◽  
Performance Indicators ◽  
Green Building ◽  
Key Performance Indicators ◽  
Energy System ◽  
Energy Performance ◽  
Operational Performance ◽  
Indoor Environmental Quality ◽  
Evaluation Standards

Released green building evaluation standards for operation stage include a huge number of indicators, which are very comprehensive and systematic. However, the indicators of these standards are very complicated and a large amount of time and manpower are consumed for their evaluation. To evaluate the operational performance of green buildings more practically and efficiently, some studies collect the operational data for part of the indicators (mainly focusing on building energy performance, indoor environmental quality or occupant satisfaction), which are too rough to evaluate the performance of green building. This paper proposed a total of 27 key performance indicators (KPIs) for green building operations monitoring. The number of proposed indicators is much fewer than the evaluation standards, as well as suitable for long-term monitoring, which can dramatically reduce evaluation time and cost. On the other hand, the indicators involving Outdoor environmental quality, Indoor environmental quality, HVAC system, P&D system, Renewable energy system, Total resource consumption and User behavior, which are more comprehensive and systematic than the conventional monitoring studies for operational performance of green building. Firstly, an indicators library for operations monitoring of green building was established based on relevant standards and literature review in this field. Secondly, “SMART” principle and Delphi method were adopted to select the key performance indicators for green building operations monitoring. Different background experts regarding green building industry were chosen to screen the most relevant, accessible and measurable indicators. Subsequently, two projects in China were selected for case study of key performance indicators proposed in this paper for green building operations monitoring to validate the feasibility and advancement.

The Competitive Strategies of a Green Energy Company

2014 ◽  
Vol 1073-1076 ◽  
pp. 2664-2668
Author(s):  
Li Jia Chen ◽  
Sang Bing Tsai ◽  
Cheng Kuang Wang
Keyword(s):  
Renewable Energy ◽  
Green Energy ◽  
Low Energy ◽  
Operational Performance ◽  
Complete Analysis ◽  
Competitive Strategies ◽  
Energy Company ◽  
Power Company ◽  
Low Energy Consumption

Renewable energy is an ideal source of power, with advantages such as low pollution, low energy consumption, sustainability, and an inexhaustible supply of energy. The method of importance-performance analysis (IPA) is frequently applied to measure satisfaction and to improve competitive strategies. In this study, we perform a complete analysis of the operational performance of Taiwanese renewable energy industries. A wind power company was recruited as a case study, and IPA was employed to survey and evaluate the company’s competitive performance. Subsequently, the results were used as a guide to improve the performance of the company.

scholarly journals The search for orthogonal hydrological modelling metrics: a case study of 20 monitoring stations in Colombia

2010 ◽  
Vol 13 (3) ◽  
pp. 429-442 ◽  
Author(s):  
E. Domínguez ◽  
C. W. Dawson ◽  
A. Ramírez ◽  
R. J. Abrahart
Keyword(s):  
Ideal Point ◽  
Principal Component ◽  
Hydrological Modelling ◽  
Operational Performance ◽  
Single Measure ◽  
Explained Variance ◽  
Surrogate Measure ◽  
Hydrological Monitoring ◽  
Monitoring Stations

This paper presents a Colombian-based study on hydrological modelling metrics, arguing that redundancies and overlap in statistical assessment can be resolved using principal component analysis. Numerous statistical scores for optimal operator water level models developed at 20 hydrological monitoring stations, producing daily, weekly and ten-day forecasts, are first reduced to a set of five composite orthogonal metrics that are not interdependent. Each orthogonal component is next replaced by a single surrogate measure, selected from a set of several original metrics that are strongly related to it, and that in overall terms delivered limited losses with regard to ‘explained variance’. The surrogates are thereafter amalgamated to construct a single measure of assessment based on Ideal Point Error. Depending on the forecast period, the use of three or four traditional metrics to deliver a combined evaluation vector, is the minimum recommended set of scores that is needed for analysis to establish the operational performance at a particular station in the gauging network under test.

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