Search for dissertations about: "smart building technologies"
Showing result 1 - 5 of 27 swedish dissertations containing the words smart building technologies.
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1. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities
Abstract : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE
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2. Radiation properties of coil-coated steel in building envelope surfaces and the influence on building thermal performance
Abstract : Recent studies have shown that the optical properties of building exterior surfaces are important in terms of energy use and thermal comfort. While the majority of the studies are related to exterior surfaces, the radiation properties of interior surfaces are less thoroughly investigated. READ MORE
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3. A multi-method assessment to support energy efficiency decisions in existing residential and academic buildings
Abstract : Rapid decarbonization of building stock is essential for the energy transition required to mitigate climate change and limit the global temperature rise below 1.5 °C. The decision-making for the adoption of energy efficiency measures (EEMs) is often complex and involves lasting consequences and risks. READ MORE
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4. Applicability of thermal energy storage in future district heating system - Design methodologies and performance evaluations
Abstract : District heating (DH) enables efficient and economical utilization of energy resources to satisfy the heat and hot water demands in buildings and is, thereby, well-established in Northern European countries. To achieve the future renewable energy system, the current DH systems are proved to undergo transitions towards the future DH systems, with major characteristics including renewable-based heat sources, low temperature networks, lower heating demands and smart controls. READ MORE
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5. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities
Abstract : Over half of the world’s population live in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE