Essays about: "Power optimizer"
Showing result 1 - 5 of 12 essays containing the words Power optimizer.
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1. Dispatch Optimization of the TES.POD Cluster using Mixed-Integer Linear Programming Models
University essay from Uppsala universitet/ElektricitetsläraAbstract : With increasing shares of variable renewable energy sources in the power mix, the need for energy storage solutions is projected to increase as well. Storage can in such combined systems help mitigate the issues with relying on intermittent sources by time-shifting the supply and smoothing out frequency fluctuations, to name some examples. READ MORE
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2. Dispatch Optimizer for Concentrated Solar Power Plants
University essay from Uppsala universitet/Byggteknik och byggd miljöAbstract : Concentrating solar power (CSP) plant is a promising technology that exploits direct normal irradiation (DNI) from the sun to be converted into thermal energy in the solar field. One of the advantages of CSP technology is the possibility to store thermal energy in thermal energy storage (TES) for later production of electricity. READ MORE
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3. Model Adaptation of a Mixed Flow Turbofan Engine
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Gas turbine performance models are usually created in an object oriented manner, where different standard components are connected to form the complete model. The characteristics of these components are often represented by component maps and empirical correlations. READ MORE
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4. Rig Performance Evaluation for Wind Powered Pure Car Carrier
University essay from KTH/Marina systemAbstract : Carrying around 80-90% of world volume of goods, the shipping industry has a considerable environmental impact. The International Maritime Organization (IMO) fixed a 50% greenhouse gases emission reduction target by 2050 with respect to 2008 levels. READ MORE
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5. The crucial parts of text classification with TensorFlow.js and categorisation of news articles
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Text classification is a subset of machine learning which is used to classify texts such as tweets, email, news headlines or articles, with tags or categories. As news publishing can have uncertainty in their categorisations, text classification could categorise articles autonomously and distinguish unclear categorisations. READ MORE