Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 18 of 18 for “"Building Energy Management"”.
-
DEEP REINFORCEMENT LEARNING FOR BUILDING ENERGY MANAGEMENT
Building energy management is an increasingly complex problem, both in terms of energy production and consumption, with the integration of renew- able energy and the ever-increasing needs of building residents. Multiple studies have shown that Deep Reinforcement Learning has great potential in …
-
Smart Building Energy Management System for Energy Efficiency and Demand Response
Buildings account for a significant share of total energy use throughout the world. Religious facilities, which account for a substantial portion of overall floor space and energy use in the commercial sector, have rarely been the subject of energy efficiency and management studies. Religious …
-
Design and Implementation of a Secure Web Platform for a Building Energy Management Open Source Software
Commercial buildings consume more than 40% of the total energy consumption in the United States. Almost 90% of these buildings are small- and medium-sized buildings that do not have a Building Energy Management (BEM) system. The reasons behind this are – lack of awareness, unavailability of …
-
Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications.
… and implementation of control strategies for building energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive controllers, fuzzy logic solutions and genetic algorithm techniques. The …
-
Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads
… develops an economic scheduling framework for a building microgrid with internet of things (IoT) based flexible loads to synchronize the buildings’ controllable components, with occupant behavior and environmental conditions. We employ model predictive control (MPC) methods to minimize building …
-
Development of a Software Platform with Distributed Learning Algorithms for Building Energy Efficiency and Demand Response Applications
… United States, over 40% of the country's total energy consumption is in buildings, most of which are either small-sized (<5,000 sqft) or medium-sized (5,000-50,000 sqft). These buildings offer excellent opportunities for energy saving and demand response (DR), but these opportunities are rarely …
-
Validation of a building simulation tool for predictive control in energy management systems
Buildings are responsible for a significant portion of energy consumption worldwide. Intelligent buildings have been devised as a potential solution, where energy consumption and building use are harmonised. At the heart of the intelligent building is the building energy management system (BEMS), …
-
The modelling and simulation of energy management control systems
… improving the integrity and applicability of building energy management systems(BEMS) simulation tools. The present work attempts to overcome certain inadequacies of contemporary simulation applications with respect to environmental control systems, by developing novel building control systems …
-
Metabolic Scaling Analysis of Building Energy Efficiency: A Case Study of Massachusetts Institute of Technology
The building sector plays a critical role in global energy consumption and carbon emissions, accounting for 21% of global GHG emissions (12 GtCO₂-eq) and 31% of global final energy demand (128.8 EJ) in 2019 (Cabeza et al. 2022). This reality underscores the urgent need to enhance energy efficiency …
-
Design and Development of an Internet-Of-Things (IoT) Gateway for Smart Building Applications
With growing concerns on global energy demand and climate change, it is important to focus on efficient utilization of electricity in commercial buildings, which contribute significantly to the overall electricity consumption. Accordingly, there has been a number of Building Energy Management (BEM) …
-
Blockchain-based Peer-to-peer Electricity Trading Framework Through Machine Learning-based Anomaly Detection Technique
… installation of home photovoltaics, traditional energy trading is evolving from a unidirectional utility-to-consumer model into a more distributed peer-to-peer paradigm. Besides, with the development of building energy management platforms and demand response-enabled smart devices, energy …
-
Human-centered Ambient Artificial Intelligence In Smart Buildings
… of context awareness, including user persona, building operations, and human states, as key components of an envisioned integrated smart built environment framework. First, a nationwide survey (N =307) quantified how demographics, prior smart home experience, and personal values shape users …
-
A Data-driven Approach for Coordinating Air Conditioning Units in Buildings during Demand Response Events
… Under these circumstances, various building energy management (BEM) systems have emerged to facilitate the building control during a DR event. Nonetheless, due to the cost and return on investment, these solutions mainly target homes and large commercial buildings, leaving aside …
-
Toward Transformer-based Large Energy Models for Smart Energy Management
Buildings contribute significantly to global energy demand and emissions, highlighting the need for precise energy forecasting for effective management. Existing research tends to focus on specific target problems, such as individual buildings or small groups of buildings, leading to current …
-
Building occupancy analytics based on deep learning through the use of environmental sensor data
Balancing indoor comfort and energy consumption is crucial to building energy efficiency. Occupancy information is a vital aspect in this process, as it determines the energy demand. Although there are various sensors used to gather occupancy information, environmental sensors stand out due to …
-
An Agent-based Platform for Demand Response Implementation in Smart Buildings
… system. Taking into account customer demand and energy resource constraints, electric utilities not only need to provide reliable services but also need to operate a power grid as efficiently as possible. The objective of this dissertation is to design, develop and deploy the Multi-Agent Systems …
-
Deep Reinforcement Learning-based Control Strategies for Enhancing Energy Management in HVAC Systems
L'abstract è presente nell'allegato / the abstract is in the attachment