Model Predictive Control Strategy to Coordinate Production Planning and Building Automation

Idioma: inglés

Editorial: Apprimus Verlag Feb 2022, 2022

3985550425 / 9783985550425

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -The sustainable use of energy has been a central challenge for years due to its supply limit and constantly increasing demand. Therefore, a huge amount of effort has been taken to improve the energy efficiency of manufacturing activities. Various technical solutions are available from an equipment level to a system level. However, researchers still seek for additional opportunities to improve energy efficiency in production, due to its importance. Typically, two major categories of energy consumers exist in a production company. One is production activity, which uses resources to create value-added goods. The other one is periphery facility, such as heating, ventilation, and air conditioning as well as lights. For an energy overview, it makes sense to reach energy-saving potential by considering these two categories as a whole, because they naturally pair together. Periphery facility aims at providing a suitable environment for production activity, and meanwhile, production activity has a constant impact on the environment. However, production planning that schedules and coordinates all production activities is completely isolated with building automation that is responsible to control periphery facilities. Against this background, the goal of this dissertation is to develop a holistic model predictive control strategy through coordinating both production activity and periphery facility to reach a further improvement of energy efficiency. This is first followed by the development of a plant model to describe the energy interaction between production and periphery. A multi-criteria cost function is determined to balance classic production objectives and energy efficiency. By transferring related system limits of production and periphery to constraints, the model predictive control strategy is established. Through predicting the total energy consumption and the resulted thermal condition, the controller calculates on the allocation of production and periphery resources automatically.The dissertation evaluation approach is implemented in a simulation tool within MATLAB/Simulink environment. The prediction accuracy of the developed plant model is validated by comparing the simulated and measured results. Afterwards, a verification of various production scenarios demonstrates that the control strategy can conduct automatic resource allocation of production and periphery, and meanwhile, a further improvement of energy efficiency can be realized. 192 pp. Englisch.…

N° de ref. del artículo 9783985550425

Detalles bibliográficos

Título
Model Predictive Control Strategy to Coordinate Production Planning and Building Automation
Autor
Beiyan Zhou
Editorial
Apprimus Verlag Feb 2022
Año de publicación
2022
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
3985550425
ISBN 13
9783985550425
Peso del artículo
276 gramos
Dimensiones
211x152x10 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Alemania

Vendedor de 5 estrellas

Vendedor de AbeBooks desde el 11 de enero de 2012

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 5 a 15 días hábilesDe 5 a 15 días hábiles
Primer artículoEUR 23,00EUR 23,00
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BuchWeltWeit Ludwig Meier e.K.

Alemania