Spatiotemporal analysis framework for ıdentifying emerging hot spots and energy potential from livestock manure in Turkey Türkiye’deki hayvan gübresinin yoğun olarak bulunduğu bölgelerin ve bu bölgelerin enerjipotansiyellerinin mekansal ve zamansal analizler ile belirlenmesi

Ruhbaş, Büşra Yüksel

ABSTRACTBiogas technology offers both an environmentally sustainable solution for livestock manure and generates renewable energy. Renewable energy production from livestock manure highly depends on the feedstock availability therefore, the spatial and temporal variability of livestock manure is critical for sustainable management of livestock manure via biogas plants. In this regard, this study aims to develop a replicable geographic information system-based spatiotemporal method to determineemerging hot spots and power capacities for new biogas plants and capacity expansion for the existing ...Daha fazlası

Yüksek Lisans 2022 Sedat Yalçınkaya Graduate School of Natural and Applied Sciences 15 Görüntülenme

Erişime Açık

Poincaré plot-based fault detection on tennessee eastman process using various machine learning algorithms Çeşitli makine öğrenimi algoritmalarını kullanarak tennessee eastman sürecinde poincaré grafik tabanlı hata tespiti

Çancıoğlu, Emre

ABSTRACTThis thesis presents diagnose and detect faults of Tennessee Eastman Process (TEP) with machine learning algorithms via Poincaré plots-based feature extraction and statistically analysis-based feature selection. The IEEEDataPort online dataset, obtained from a big plant that contains nonlinear processes from various chemical units, is utilized in this thesis. It contains measures from 52 process points in TEP with 20 dissimilar malfunction types. In this study, raw dataset and dataset that applied feature extraction and feature selection was used. Poincaré plot was applied to the datas ...Daha fazlası

Yüksek Lisans 2022 Savaş Şahin Graduate School of Natural and Applied Sciences 12 Görüntülenme