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Author: Mohammed Salah Kina
Publisher:
ISBN:
Category :
Languages : en
Pages : 248
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Book Description
Author: Mohammed Salah Kina
Publisher:
ISBN:
Category :
Languages : en
Pages : 248
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Book Description
Author: F. Breitenecker
Publisher: Elsevier
ISBN: 148329899X
Category : Technology & Engineering
Languages : en
Pages : 475
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Book Description
This volume investigates simulation and computer-aided control system designs. The book covers the use of models and program packages, their theoretical aspects and practical applications, and uses illustrative case studies to give a comprehensive view of this fast developing science.
Author: Ljubomir Jankovic
Publisher: Taylor & Francis
ISBN: 1317218353
Category : Architecture
Languages : en
Pages : 426
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Book Description
In addition to the application of fundamental principles that lead to a structured method for zero carbon design of buildings, this considerably expanded second edition includes new advanced topics on multi-objective optimisation; reverse modelling; reduction of the simulation performance gap; predictive control; nature-inspired emergent simulation leading to sketches that become ‘alive’; and an alternative economics for achieving the sustainability paradigm. The book features student design work from a Master’s programme run by the author, and their design speculation for a human settlement on Mars. Tasks for simple simulation experiments are available for the majority of topics, providing the material for classroom exercise and giving the reader an easy introduction into the field. Extended new case studies of zero carbon buildings are featured in the book, including schemes from Japan, China, Germany, Denmark and the UK, and provide the reader with an enhanced design toolbox to stimulate their own design thinking.
Author: Jan L.M. Hensen
Publisher: Routledge
ISBN: 1134026358
Category : Technology & Engineering
Languages : en
Pages : 538
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Book Description
Effective building performance simulation can reduce the environmental impact of the built environment, improve indoor quality and productivity, and facilitate future innovation and technological progress in construction. It draws on many disciplines, including physics, mathematics, material science, biophysics and human behavioural, environmental and computational sciences. The discipline itself is continuously evolving and maturing, and improvements in model robustness and fidelity are constantly being made. This has sparked a new agenda focusing on the effectiveness of simulation in building life-cycle processes. Building Performance Simulation for Design and Operation begins with an introduction to the concepts of performance indicators and targets, followed by a discussion on the role of building simulation in performance-based building design and operation. This sets the ground for in-depth discussion of performance prediction for energy demand, indoor environmental quality (including thermal, visual, indoor air quality and moisture phenomena), HVAC and renewable system performance, urban level modelling, building operational optimization and automation. Produced in cooperation with the International Building Performance Simulation Association (IBPSA), and featuring contributions from fourteen internationally recognised experts in this field, this book provides a unique and comprehensive overview of building performance simulation for the complete building life-cycle from conception to demolition. It is primarily intended for advanced students in building services engineering, and in architectural, environmental or mechanical engineering; and will be useful for building and systems designers and operators.
Author: Song Chun Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
A dynamic model of a radiant floor heating (RFH) system which predicts the dynamic response of RFH system has been developed. The overall model consists of a boiler, an embedded tube floor slab and building enclosure. The overall model was described by nonlinear differential equations, which were programmed and solved using in MATLAB. The RFH system model has been applied to both a single zone and a multi-zone RFH system. The predicted dynamic responses of the model under several operating conditions were studied. Also, a zonal model of RFH system was developed to study the air temperature distribution in the zone. Three different control strategies for improving the performance of RFH systems were explored. These are: (i) a conventional PI control, (ii) a predictive control and (iii) an optimal control. The simulation results show that PI control strategy is an efficient control strategy for RFH system from the point of view of temperature regulation. The simulation results also show that the predictive PI control maintains zone air temperature close to the set-point better than the conventional PI control. Besides, the predictive PI control strategy saves 10∼15% energy, compared to the conventional PI control strategy. In addition, the simulation results also show that the optimal PI control strategy could slightly improve both the zone air temperature regulation and energy efficiency, compared to the predictive PI control. Since the predictive control strategy is simple and easy to implement, it is considered as a good candidate strategy for RFH systems.
Author: Tiago Pinto
Publisher: MDPI
ISBN: 303943649X
Category : Technology & Engineering
Languages : en
Pages : 190
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Book Description
The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings’ electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.
Author: Liangzhu Leon Wang
Publisher: Springer Nature
ISBN: 9811998221
Category : Technology & Engineering
Languages : en
Pages : 2933
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Book Description
This book is a compilation of selected papers from the 5th International Conference on Building Energy and Environment (COBEE2022), held in Montreal, Canada, in July 2022. The work focuses on the most recent technologies and knowledge of building energy and the environment, including health, energy, urban microclimate, smart cities, safety, etc. The contents make valuable contributions to academic researchers, engineers in the industry, and regulators of buildings. As well, readers encounter new ideas for achieving healthy, comfortable, energy-efficient, resilient, and safe buildings.
Author: Parham A. Mirzaei
Publisher: John Wiley & Sons
ISBN: 1119743516
Category : Technology & Engineering
Languages : en
Pages : 629
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Book Description
COMPUTATIONAL FLUID DYNAMICS AND ENERGY MODELLING IN BUILDINGS A Comprehensive Overview of the Fundamentals of Heat and Mass Transport Simulation and Energy Performance in Buildings In the first part of Computational Fluid Dynamics and Energy Modelling in Buildings: Fundamentals and Applications, the author explains the fundamentals of fluid mechanics, thermodynamics, and heat transfer, with a specific focus on their application in buildings. This background knowledge sets the scene to further model heat and mass transport in buildings, with explanations of commonly applied simplifications and assumptions. In the second part, the author elaborates how the fundamentals explained in part 1 can be used to model energy flow in buildings, which is the basis of all commercial and educational building energy simulation tools. An innovative illustrative nodal network concept is introduced to help readers comprehend the basics of conservation laws in buildings. The application of numerical techniques to form dynamic simulation tools are then introduced. In general, understanding these techniques will help readers to identify and justify their choices when working with building energy simulation tools, rather than using default settings. Detailed airflow information in buildings cannot be obtained in building energy simulation techniques. Therefore, part three is focused on introducing computational fluid dynamics (CFD) as a detailed modelling technique for airflow in buildings. This part starts with an introduction to the fundamentals of the finite volume method used to solve the governing fluid equations and the related challenges and considerations are discussed. The last chapter of this part covers the solutions to some practical problems of airflow within and around buildings. The key aspect of Computational Fluid Dynamics and Energy Modelling in Buildings: Fundamentals and Applications is that it is tailored for audiences without extensive past experience of numerical methods. Undergraduate or graduate students in architecture, urban planning, geography, architectural engineering, and other engineering fields, along with building performance and simulation professionals, can use this book to gain additional clarity on the topics of building energy simulation and computational fluid dynamics.
Author: Zhi Long Zhang
Publisher:
ISBN:
Category : Heating
Languages : en
Pages : 0
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Book Description
A dynamic model of a radiant floor heating (RFH) system useful for control analysis is developed. The overall model consists of a boiler, an embedded tube floor slab and building enclosure. The overall model was described by nonlinear differential equations, which were solved using finite numerical methods. The predicted responses from the model were compared with published experimental data. The comparisons were made covering a wide range of weather and operating conditions under several different control strategies. The model predictions compare well with the experimental data. The effective thermal capacity of the floor slab was found being an important parameter in calibrating the model results with the experimental data. Three different control strategies for improving the temperature regulation in RFH systems are proposed. These are: a multistage on-off control, an augmented constant gain control (ACGC) and a variable gain control (VGC). Simulation results show that the multistage control maintains zone air temperature close to the setpoint better than the existing on-off control scheme does. Likewise, ACGC gives good zone temperature control compared to the classical proportional control. A model based approach for updating the controller gains of the VGC is proposed. Both ACGC and VGC are shown to be robust to changes in weather conditions and internal heat gains. The advantage of the control strategies proposed in this thesis is that they eliminate the use of outdoor temperature sensor required in some existing control schemes. Being simple and robust, the multistage control scheme with two stages and the ACGC are good candidate controls for RFH systems.
Author: Sayani Seal
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
"The residential building sector is a major consumer of electricity. In cold countries like Canada, heating systems contribute to a large share of the total building energy demand. Smart and efficient solutions to reduce building energy consumption are continually being explored through multi-disciplinary fields of research. This thesis focuses on the development and analysis of a central model predictive control (MPC) strategy for both comfort as well as energy management. In this work, the building simulations are done using a well-established simulation software TRNSYS (Transient System Simulation Tool) and the controllers are designed and simulated in MATLAB using standard computation routines. The thesis is conceptually divided into two parts. A simulation-based analytical study of two typical Canadian residential heating systems, namely electric baseboard heaters (BB) and hydronic radiant floor heating (RFH) systems is presented in the first part. The study focuses on the modelling and characterization of the RFH and BB heating systems, highlighting the differences between their respective heating dynamics and related effects on their performance. A closed-loop MPC is designed and implemented for indoor temperature control. Various control scenarios are simulated to study the individual and cooperative performances of the two heating systems. Two novel MPC schemes are proposed to design a collaborative heating system using RFH and BB. These cooperative control schemes, namely the Sequential and Simultaneous approaches, have the identical goal of improving the performance of the slow-reacting RFH in maintaining the indoor operative temperature within predefined bounds while reducing the energy cost. In the Sequential approach, separate MPCs successively perform the optimizations for the RFH and BB whereas for the Simultaneous approach a single MPC optimizes the two heating systems. The MPC optimization also considers a thermal energy storage unit, incorporated as a part of the RFH system, for optimal energy usage based on variable Time-of-Use rate.The HVAC system constitutes an integral part of the building energy management system. In the second part of the thesis, a novel centralized MPC based building energy management system (BEMS) is proposed. The new residential setup used here is equipped with a photovoltaic (PV) solar system and a battery storage unit. An air-to-air multi-split heat pump (HP) is used as the primary heating system. The electric baseboard (BB) unit in each zone is used as a secondary system. The MPC is simultaneously responsible for controlling the heating inputs of the HP and BB units for comfort management, as well as for the control of energy flow between the PV, the home-battery and the bidirectional grid system. Variable Time-of-Use (ToU) rates are considered for the energy cost calculation and Feed-in-Tariff (FiT) is considered for selling energy to the grid. The MPC strategy is further modified to incorporate an electric vehicle (EV). The EV is considered as an intermittently available extended battery storage unit. Uncertainties related to the EV availability schedule, home-work-home trip discharges and state of charge (SOC) of the battery are considered. A Monte Carlo based uncertainty analysis is presented to estimate the reliability of MPC performance against the disturbances introduced into the system. Performance of the MPC is studied considering EV to home (V2H) communication, in an example simulation scenario"--
