Essays about: "heating energy"

Showing result 1 - 5 of 1021 essays containing the words heating energy.

  1. 1. Deep reinforcement learning for automated building climate control

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Erik Snällfot; Martin Hörnberg; [2024]
    Keywords : Machine Learning; Reinforcement Learning; Deep Learning; Deep Reinforcement Learning; Building Control; Control System;

    Abstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE

  3. 2. Oscillations in a complex sunspot: From theory to data

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Femke Kranenbarg; [2024]
    Keywords : ;

    Abstract : Sunspot oscillations, intricate three-dimensional wave-like motions in the solar atmosphere, result from the complex interplay between plasma and magnetic fields. This study delves into the behaviour of these oscillations, exploring their simultaneous excitation and evaluating their impact on solar phenomena like coronal heating, energy transport, and solar flares. READ MORE

  4. 3. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Hyacinthe Ménard; [2024]
    Keywords : District Heating Network; Mathematical Optimization; Python; Fjärrvärme; Optimeringslära; Python;

    Abstract : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. READ MORE

  5. 4. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Alireza Momtaz; Mohammad Befkin; [2024]
    Keywords : Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Abstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE

  6. 5. Integrating Waste Heat from Hydrogen Production Into District Heating

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Fawzi Kayali; [2023]
    Keywords : Hydrogen; Electrolysis; Waste Heat Recovery; Combined Heat and Power Plant; District Heating; Simulation; Sustainable Heating Systems; Technology and Engineering;

    Abstract : The aim of this research is to explore the feasibility of the integration of waste heat from electrolyzers within a Combined Heat and Power (CHP) plant and district heating (DH) network and suggest a practical setup for integration. With the escalating emphasis on the development of green hydrogen through electrolysis powered by renewable energy, a substantial amount of waste heat is generated, typically left unused. READ MORE