Identifying Leading Indicators in the Engineering Phase of Infrastructure Projects

The Key Performance Indicators (KPIs) are broadly divided into two categories: leading indicators and lagging indicators. Leading indicators measure activities that have a significant effect on future performance of a project. The leading indicator thus help in taking proactive measures, while lagging indicators measure the output of past...

Unraveling the Social-Technical Complexity of Dashboards for Transformation

The need for standardized and visualized performance monitoring on a wide range of topics has become apparent in recent years. In the public sector, there has been an increase in the number of dashboards to create transparency into the progress. Yet, the design of dashboards encounters many challenges ranging from technical to social. The goal...

Vessel Performance Evaluation Using A Digital Twin: A Black-box Model Approach

An important step in determining the performance of a commercial ship is to determine the vessel fuel consumption in offdesign conditions. In previous studies, the vessel fuel consumption is obtained using machine learning algorithms which use navigational data and meteorological data to train the models. Due to the inaccuracy of the weather...

Independent verification of validator performance in the XRP ledger

The XRP network (Ripple network) is a global transaction network that settles trans- actions in seconds. It is a technology that provides new opportunities for traditional fi- nancial institutions and startups. In the XRP network, participants depend on each other’s functioning. However, at present Ripple Labs, Inc. is the only actor monitor-...

Evaluation of the Impact of Technology Scaling on Delay Testing for Low-Cost AVS

With the continued down-scaling of IC technology and increase in manufacturing process variations, it is becoming ever more difficult to accurately estimate circuit performance of manufactured devices. This poses significant challenges on the effective application of adaptive voltage scaling (AVS) which is widely used as the most important...

From in-situ measurement to regression and time series models: An overview of trends and prospects for building performance modelling

Data analysis methodologies are crucial to learn insights from data and to create more trust in the assumptions used for energy performance assessment. Indeed, continuous performance monitoring should become a more diffuse practice in order to improve our design and operation strategies for the future. This is an essential step to reduce...

Ship Performance Management and the added value of a Ship Performance Monitoring System: A Spliethoff Group Case

Harsh market conditions make optimising the performance in shipping more and more important. Shipping companies are becoming more and more data driven due to developments in data systems and these harsh market conditions. The goal of this research is to determine how and how much added value can be realised through shipping performance...

Real-time monitoring energy efficiency and performance degradation of condensing boilers

Condensing boilers achieve higher efficiency than traditional boilers by using waste heat in flue gases to preheat cold return water entering the boiler. Water vapor produced during combustion is condensed into liquid form, thus recovering its latent heat of vaporization, leading to around 10–12% increased efficiency. Many countries have...

Performance Assessment for Advanced Process Control

Model predictive control (MPC) is a control technique that is frequently used in the process industry. Two advantages of model predictive controllers is their ability to predict the impact of disturbances, and to easily account for constraints. However, a disadvantage of model predictive controllers is that they rely on mathematical models of...

Gas Turbine Diagnostics Based on Gas Path Analysis

Better availability ensures economic operation of the gas turbine, saving in the order of millions. One step towards such an approach is to develop real-time monitoring methods. Real-time monitoring allows users to monitor the performance of the gas turbine and ensure proper functioning of the engine. Moreover changes in gas path components can...

Improving the reliability of the compressed air supply to the blast furnaces at Tata Steel IJmuiden

The four blast furnace blowers at Tata Steel IJmuiden are essential for the operation of the blast furnaces. The blast blowers are steam turbines that drive large air compressors, with a power up to 37MW. In the last four years the blast blowers have suffered from a higher unplanned downtime than is acceptable for the company. This situation...