Sökning: "spatio-temporal optimisation model"

Hittade 3 avhandlingar innehållade orden spatio-temporal optimisation model.

  1. 1. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields

    Författare :Unn Dahlén; Spatio-Temporal Stochastic Modelling Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gaussiska Markovfält; Stokastisk optimering; CO2-flöden; Spatial statistik; Stochastic Optimisation; Gaussian Markov Random Fields; Atmospheric inverse modelling; Spatial statistics; Computational statistics;

    Sammanfattning : This thesis focuses on the development and application of efficient mathematicaltools for estimating and modelling the exchange of carbon dioxide (CO2) between the Earth and its atmosphere; here referred to as the global CO2 surface flux.There are two main approaches for estimating the CO2 flux: Processed based(bottom-up) modelling and atmospheric inversion (top-down) modelling. LÄS MER

  3. 2. Exploring synergies between the palm oil industry and bioenergy production in Indonesia

    Författare :Fumi Harahap; Semida Silveira; Dilip Khatiwada; José Roberto Moreira; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; palm oil industry; bioenergy; resource efficiency; sustainability; land allocation; palm oil biomass; biorefinery; policy coherence analysis; techno-economic analysis; spatio-temporal optimisation model; BeWhere Indonesia; Energy Technology; Energiteknik;

    Sammanfattning : Climate change along with increasing demand for food and fuel call for sustainable use of natural resources. One way to address these concerns is through efficient use of resources, which is also vital for the achievement of the Sustainable Development Goals and the Paris Agreement. LÄS MER

  4. 3. Data-Driven Techniques for Fluid Mechanics and Heat Transfer

    Författare :Jerol Soibam; Rebei Bel Fdhila; Konstantinos Kyprianidis; Ioanna Aslanidou; Ricardo Vinuesa Motilva; Mälardalens universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Fluid mechanics; Heat Transfer; Machine Learning; Deep Learning; Energy- and Environmental Engineering; energi- och miljöteknik;

    Sammanfattning : One of the main challenges in fluid mechanics and heat transfer is the need for detailed studies andfast computational speed to monitor and optimise a system. These fluid/heat flows comprise time-dependent velocity, multi-scale, pressure, and energy fluctuations. LÄS MER