Precision farming in crop and livestock production

Photo: ATB

Project

Title
Energetic and environmental optimisation of drying processes by integration of heat pumps
Acronym
HP4Drying
Start
01.03.2014
End
30.06.2016
Coordinating Institute
University of Gent
Coordinator
Bruno Vanslambrouck
Partner
University of Gent
Prüf- und Forschungsinstitut Pirmasens
Institut für Textil- und Verfahrenstechnik (ITV) der Deutschen Institute für Textil- und Faserforschung Denkendorf (DITF)
Institut für Ziegelforschung Essen e.V. (IZF)
Fraunhofer-Institut für Holzforschung - Wilhelm-Klauditz-Institut WKI
wfk Cleaning Technology Institute e.V., Krefeld

Summary
Drying is an energy intensive process accounting for at least 15% of industrial energy usage and even higher in some specific sectors, e.g. 30-55% in medicinal plants processing, 50% in textile manufacturing and up to 70% in wood industry. Numerous studies suggest that heat pump assisted dryers possess the potential of saving up to 50% or more of the primary energy used. In spite of intensive previous academic research, reliable industrial applications are still exceptional, since heat pump dryers are much more complex than each of their components separately. The target of the project is to dedicate precompetitive research on developing different heat pump assisted drying processes and to demonstrate their energy-use and economic efficiency across several industrial sectors. The focus lies thereby on the convective drying processes, which are the most commonly used and can be advantageously assisted by heat pumps. Hence, the cross-industry interest is correspondingly large and represented by the 37 German and 15 Belgian companies involved in the project. The companies are active in the fields of drying, heat pumps, wood industry, brick and ceramic, medicinal and aromatic plants, textile manufacturing, laundry-drying as well as sewage sludge and digestate. Based on the current state of the art, the established as well as innovative technical solutions will be analyzed. The effective integration of heat pumps in the respective drying plants followed by their quality and energy-use optimized operation by means of largely automated process control under varying conditions is the focus of the project. Scientific challenges arise from the thermodynamic and process-technical interactions between the heat pump and the dryer. The project results will be demonstrated in laboratory and pilot scale as well as in a production plant. Sector-specific potentials and limitations for feasible implementation will be discussed. Industrial case studies performed during the project and scientific publications will accelerate the technology transfer.

Funding
Bundesministerium für Wirtschaft und Technologie (BMWi)
Funding agency
Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e.V. (AiF)
Funding framework
CORNET (EU Collective Research NETworking)

Cookies

We use cookies on our website to offer you the best possible content and functions and to anonymously analyze access to our website.

Please note that without your consent, some functionalities of the website may not be available.

You can view the cookie settings to give controlled consent.

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.
Analytics

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)