Automotive Air Conditioning

Author: Quansheng Zhang
Publisher: Springer
ISBN: 9783319335902
Size: 14.74 MB
Format: PDF, Docs
View: 33

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.

Energy And Thermal Management Air Conditioning Waste Heat Recovery

Author: Christine Junior
Publisher: Springer
ISBN: 9783319471969
Size: 13.57 MB
Format: PDF, ePub, Docs
View: 96

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.

Modeling And Control In Air Conditioning Systems

Author: Ye Yao
Publisher: Springer
ISBN: 9783662533130
Size: 11.65 MB
Format: PDF, Mobi
View: 60

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.

Studying The Optimum Design Of Automotive Thermoelectric Air Conditioning

Author: Alaa Attar
ISBN: OCLC:941224997
Size: 16.59 MB
Format: PDF, ePub, Mobi
View: 26

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.