In-line monitoring makes CIP-systems 10-30% more efficient
NIZO’s in-line sensor CIP method reduces cleaning times by 10-30% and reduces usage of energy, water and chemicals..
Cleaning in Place (CIP) is one of the most frequently used, but also one of the most overlooked unit-operations within the food industry. Thorough cleaning of processing equipment is key to increasing food safety.
Optimization and continuous monitoring of the cleaning process saves time and costs without compromising food safety. Manufacturers normally only consider optimization of CIP when facing quality or capacity problems. Other reasons for optimizing the CIP process, besides capacity and time, include the reduction of energy, water and chemical usage.
NIZO has found that cleaning times can be shortened by 10-30%. NIZO has developed a method in which an in-line sensor measures the turbidity of the cleaning liquid. This sensor provides information about the degree of soiling and hence the cleaning can be controlled. The system has been automated by NIZO’s partner Schneider Electric and called OptiCIP©. The automated tool enables you to determine whether your CIP-protocols are carried out according to your own defined CIP-settings. This innovation is applied into a pilot at a large Dutch dairy company .
The NIZO approach/ OptiCIP©:
- Embedding the defined CIP-setting by using the OptiCIP tool.
- Audit the current situation of the CIP-system
Assessment of the CIP-settings by evaluating the turbidity measurements and the removal of product- and microbiological fouling.
- Estimate the potential for improvement
Go / No go decision based on NIZO’s proven knowledge and experience.
- Optimize the cleaning procedure together with clients experts based on the 5T-approach: Time, Temperature, Titer, Turbulence and Turbidity.
- Implementation & evaluation.
The turbidity parameter is new in the automated process monitoring CIP. The turbidity is an important factor. Feedback on this parameter prevents too long cleaning and contributes to saving time. This results in reductions in cleaning time of up to 30% and reduction of energy, water and chemicals.