Essays about: "carbon prediction model"
Showing result 1 - 5 of 37 essays containing the words carbon prediction model.
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1. Estimation of Site-Specific Biomass and Leaf Area Index in a Young Scots pine Stand in Southern Sweden
University essay from SLU/Southern Swedish Forest Research CentreAbstract : Accurate biomass and leaf area index (LAI) estimation are crucial for understanding forest productivity and carbon dynamics. Models are crucial to estimating forest biomass and LAI. This study aimed to estimate site-specific aboveground biomass and LAI in a young Scots pine stand in southern Sweden. READ MORE
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2. Predictive Regression Model Evaluation : Evaluating Predictive Machine Learning Models to Reduce Food Waste in the Dairy Industry
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Food waste in the food industry is often a result from the complex nature of food production. Uncertainty is always present as yields vary and as there is a chain of consumer demand from stores to producers. Food waste is a waste of both natural and economic resources affecting both the planet and the producer. READ MORE
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3. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. READ MORE
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4. Improved Furnace Control : System identification and model predicative control of Outokumpu’s reheating furnace
University essay from Uppsala universitet/Signaler och systemAbstract : This thesis investigates one option for improving the control of a reheating furnace used in heating steel slabs before hot rolling; an essential part of the steel manufacturing process. The furnace consumes a significant amount of energy, leading to high cost and high carbon dioxide emissions. READ MORE
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5. Prediction of flue gas properties using artificial intelligence : Application of supervised machine learning by utilization of Near-Infrared Spectroscopy on solid biofuels
University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknikAbstract : This degree project studies implementation and comparison of different AI models to predict (1) solid biofuel elements including carbon, hydrogen, nitrogen, and oxygen as well as moisture content, ash content, and higher heating value (HHV) of the fuel and (2) flue gas compositions such as concentration of carbon dioxide, carbon monoxide, nitrogen, nitrogen oxides, and water content using near-infrared spectroscopy and chemometric approaches. The study executes these predictions by simulating the operation of a combined heat and power plant (CHP) that is equipped with carbon capture and storage (CCS). READ MORE