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The increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
This paper presents the modeling, simulation of a double-stage evaporation process to obtain Bioethanol from sugarcane juice; the model was validated with data from a plant located in Peru. So is the calculation of a Nonlinear Control and optimization following the Extended Prediction Self-Adaptive Control approach, because it has less computational load. The results achieved the control of juice...
This paper presents an economic optimization case study for a medium-scale hybrid PV-battery system. PV energy yield and battery operation models based on hourly satellite insolation and daily temperature data form the basis of an underlying objective function aiming to maximize the net present value of potential energy cost savings. Forecasted system prices and energy tariffs over a nine-year period...
Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a multi-mode system, one may distinguish modes of the system and, furthermore, detect whether the current mode is a (normal or faulty) mode known from historical...
The abstract should appear at the top of the left-hand column Crop yield estimation are topics of interest in Latin-American countries, for farmers and government officers responsible of managing agricultural national policies. Besides, modern remote sensing methodologies to obtain these predictions represent important steps towards attaining the goals of precision agriculture for the 21st century...
Current procedure in travel demand estimation models is to separately deal with attraction, production and trip distribution, where the latter typically assumes inverse distance proportionality. We show that this procedure leads to errors in the demand estimation, particularly when dealing with very specific zones and heterogeneous travel behavior. We argue that this traditional procedure is rooted...
This study explores the application of artificial intelligence on the causal relationship between mining production index and electricity load. The data used is the total mining production index and total electricity consumption in the mining sector sampled on a monthly basis from January 1985 to December 2011 in South Africa. Optimally-pruned and basic extreme learning machines were used to develop...
To quantify the relationships between rapeseed stem and rachis geometric parameters and the corresponding organ biomass, we presents a biomass-based model of stem and rachis geometric parameters of rapeseed (Brassica napus L.), including biomass-based total length model for ramification, maximum diameter model for ramification, length model for main stem, maximum diameter model for main stem, and...
Metabolic engineering is increasingly being used for the production of industrial products such as pharmaceuticals and enzymes. These chemicals have traditionally been chemically synthesized, but the application of synthetic biology techniques to microbes facilitates faster, cheaper production. Modelling and the integration of existing data can help inform the design of synthetic pathways. We applied...
This extended abstract provides the scope of the semi-plenary lecture. A fault diagnosis system for a wind turbine typically has a modular structure, each module being dedicated to specific components or to performance monitoring. Important issues arising in the application of model-based fault diagnosis in an industrial context are discussed and illustrated on a performance monitoring module based...
Todays production processes are becoming more and more flexible. Customers frequently demand specific production steps that fit to their processes. This leads to a needed flexibility for systems that are used to support decision making processes and the production itself. In this paper an approach is presented that uses process definition coming from an integrated enterprise modelling for connecting...
Mycobacterium tuberculosis is a global health concern, causing over one million deaths a year. Alveolar macrophages, as the primary host cell of this intracellular bacterium, play an important role in the course of disease. Vitamin D3 is known to have a potent effect on macrophage behavior during infection, modulating the production of pro- and anti-inflammatory cytokines and immune effector molecules...
The US production of unconventional gas has grown drastically in recent years and is proved to be a case of success. In former years the US imported natural gas in order to meet their high demand and, therefore, invested in LNG import terminals. Since then, production of shale gas is considered to have a potential to change the world natural gas market, as both scientific community and policy makers...
Energy crisis is one of the major problems for the economic growth and development of Bangladesh. The gap between power supply and demand is increasing day after day. Moreover, most of the power plants are based on fossil fuel and have the risk of being phased out in future. This paper aims to solve these problems by balancing the power supply and demand in a smart environment, focusing mainly on...
The increasing shares of renewable energy in power systems have a significant impact on the operation of electricity markets and grids worldwide. This paper provides an overview of the main challenges that high shares of renewable generation introduce in the power system management and electricity markets operation as well as a brief description of potential solutions for alleviating the negative...
SCGE models are ideal tool for modelling socioeconomic effects in a spatial manner. The current research is investigating this modeling methodology from the view of transportation and investigating the reciprocal cooperation possibilities with ITS systems. In this combined approach the main aims are to identify the different infrastructure and ITS development possibilities and their effects to set...
In the paper some problems of the mathematical modeling of anaerobic (methane) fermentation of animal waste in stirred tank bioreactors are considered. Laboratory experiments are carried out with highly concentrated organic pollutants and transient step responses of the control output for continuous methane fermentation are obtained. The dynamic behavior of this process is described by sets of deterministic...
In this paper we propose a methodology to determine the structure of the yield coefficient matrix K in a mass balance based model and to identify its coefficients from a set of available data. The first step consists in estimating the number of reactions that must be taken into account to represent the main mass transfer within the bioreactor. This provides the dimension of K. Then we propose a method...
Production environments in large enterprises are expensive to maintain, support and enhance. Organisations take extreme care to provision and configure their environments and they are very wary to change. This is because a small change may result to a domino effect of failures resulting in costly system downtime. Consequently, engineers are also looking for reliable ways of testing environmental changes...
Although Geographic Information Systems have been extensively used by decision makers when dealing with spatial related issues, most of them do not provide the functionalities for supporting the classic decision making process. This process consists in identifying the problem, modelling the situation, and then a cycle in which the decision maker(s) generates various scenarios according to different...
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