Automotive Air Conditioning

Author: Quansheng Zhang
Publisher: Springer
ISBN: 9783319335902
Size: 10.54 MB
Format: PDF, ePub, Mobi
View: 66

This book presents research advances in automotive AC systems using an interdisciplinary approach combining both thermal science, and automotive engineering. It covers a variety of topics, such as: control strategies, optimization algorithms, and diagnosis schemes developed for when automotive air condition systems interact with powertrain dynamics. In contrast to the rapid advances in the fields of building HVAC and automotive separately, an interdisciplinary examination of both areas has long been neglected. The content presented in this book not only reveals opportunities when interaction between on-board HVAC and powertrain is considered, but also provides new findings to achieve performance improvement using model-based methodologies.

Modeling And Control In Air Conditioning Systems

Author: Ye Yao
Publisher: Springer
ISBN: 9783662533130
Size: 16.26 MB
Format: PDF, ePub
View: 82

This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory. Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.

Building Performance Simulation For Design And Operation

Author: Jan L.M. Hensen
Publisher: Routledge
ISBN: 9781134026357
Size: 19.78 MB
Format: PDF, ePub, Mobi
View: 79

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.

Energy And Thermal Management Air Conditioning Waste Heat Recovery

Author: Christine Junior
Publisher: Springer
ISBN: 9783319471969
Size: 17.28 MB
Format: PDF
View: 60

The volumes includes selected and reviewed papers from the 1st ETA Conference on Energy and Thermal Management, Air Conditioning and Waste Heat Recovery in Berlin, December 1-2, 2016. Experts from university, public authorities and industry discuss the latest technological developments and applications for energy efficiency. Main focus is on automotive industry, rail and aerospace.

Internet Of Things

Author: Peter Friess
Publisher: River Publishers
ISBN: 9788792982735
Size: 17.11 MB
Format: PDF, Mobi
View: 89

The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a stand-alone book in a series that covers the Internet of Things activities of the IERC - Internet of Things European Research Cluster - from technology to international cooperation and the global "state of play." The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda and presents views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Today we see the integration of Industrial, Business and Consumer Internet which is bringing together the Internet of People, Internet of Things, Internet of Energy, Internet of Vehicles, Internet of Media, Services and Enterprises in forming the backbone of the digital economy, the digital society and the foundation for the future knowledge and innovation based economy. These developments are supporting solutions for the emerging challenges of public health, aging population, environmental protection and climate change, the conservation of energy and scarce materials, enhancements to safety and security and the continuation and growth of economic prosperity. Penetration of smartphones and advances in nanoelectronics, cyber-physical systems, wireless communication, software, and Cloud computing technology will be the main drivers for IoT development. The IoT contribution is seen in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the Cloud using the increased storage and computing power while attempting to standardize communication and metadata. In this context, the next generation of Cloud computing technologies will need to be flexible enough to scale autonomously, adaptive enough to handle constantly changing connections and resilient enough to stand up to the huge flows of data that will occur. In 2025, analysts forecast that there will be six devices per human on the planet, which means around 50 billion more connected devices over the next 12 years. The Internet of Things market is connected to this anticipated device growth from industrial Machine to Machine (M2M) systems, smart meters and wireless sensors. Internet of Things technology will generate new services and new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, Smart Transport, Buildings, Energy, Grid, to Smart Health and Life.

Studying The Optimum Design Of Automotive Thermoelectric Air Conditioning

Author: Alaa Attar
ISBN: OCLC:941224997
Size: 13.31 MB
Format: PDF, Docs
View: 90

The remarkable amount of research being conducted on thermoelectrics gives the impression that this technology will have a bright future in power generation and temperature control systems. At the present time, thermoelectrics is applied widely for temperature control, but has not yet replaced conventional air-conditioning systems due to its lower performance. Currently, approximately 10% of annual vehicle fuel consumption corresponds to the air-conditioning system used to cool the vehicle cabin. Conventional air-conditioning systems cool the entire cabin; however, about 73% of a vehicle’s mileage occurs while the driver is the only occupant. These facts indicate the need for a single occupant zone air-conditioning system. Thermoelectrics is one of the best technologies to meet this need because it is a very scalable system, wherein a miniature air-conditioning system can be built using a thermoelectric cooler. The current project discusses the optimization of a counter flow air-to-air thermoelectric air conditioner (TEAC) system. The work utilizes a newly developed optimal design theory and dimensional analysis technique, which allows for optimization of thermoelectric parameters simultaneously. Applying this method on a unit cell located at the center of the TEAC system provides a simple way to study the optimum design and its feasibility; however, further studies are needed to simulate the optimum design of an entire TEAC system from given inlet parameters (i.e., hot and cold air mass flow rates and ambient temperatures). The analytical model, therefore, is built by combining optimal design and thermal isolation methods so that the thermoelectric parameters of the whole system can be simulated and optimized. Based on the designed models, two experiments (one for the unit cell and the other for the whole system) are conducted in order to study the accuracy of the analytical models. Although the analytical model was built based on thermoelectric ideal equations, the results show good agreements with the experiments. These agreements are mainly due to the use of thermoelectric effective material properties, which are obtained from the measured maximum thermoelectric module parameters. The validation of the analytical model provides an uncomplicated method to study the optimum design at given inputs.