
Short description
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YEAR: 2017
PROJECT TYPE: Process optimisation, ENERTOP
INDUSTRY: Pulp & Paper
Challenge
With the liberalisation of the electricity markets and the increase of the renewable energy sources in the energy mix, large industrial sites are facing more and more volatile electricity prices. This apparent threat can also be seen as an opportunity if energy flexibilities are leveraged optimally based on electricity prices. The CHP units in pulp & paper mills offers particularly interesting opportunities for leveraging energy flexibility. By-products can be stored to be used at optimal moment, pressure reducing valves (PRV) can be preferred to steam turbine in the periods of very low electricity price and extra steam and electricity can be produced in periods with high electricity price. These flexibility levers on the electricity generation can also be combined with flexibility on electricity consumption by shedding, shifting or rescheduling loads. The main challenge is to leverage this complex and interrelated system of flexibility levers in an optimal way based on volatile electricity prices.
Solution
N-SIDE ENERTOP solution uses the latest predictive and prescriptives analytics techniques to convert energy flexibilities into tangible gains on the energy bill. Based on an accurate electricity price forecast for the next few days, ENERTOP optimizes both the production scheduling and the CHP unit planning in order to consume and produce electricity at optimal moment. This optimization takes into account market, technical and human resources constraints and leads to recommendation implementable in practice. In our particular case, it helps to reach up to 15% saving in energy costs (i.e. more than EUR 2.5 M per year) by leveraging the following flexibility drivers in an optimal way.
ENERTOP has a user friendly interface which enables visualizing the different component of the optimal energy strategy, the forecast on electricity price and your optimized energy cost.
Results
N-SIDE ENERTOP solution uses the latest predictive and prescriptives analytics techniques to convert energy flexibilities into tangible gains on the energy bill. Based on an accurate electricity price forecast for the next few days, ENERTOP optimizes both the production scheduling and the CHP unit planning in order to consume and produce electricity at optimal moment. This optimization takes into account market, technical and human resources constraints and leads to recommendation implementable in practice. In our particular case, it helps to reach up to 15% saving in energy costs (i.e. more than EUR 2.5 M per year) by leveraging the following flexibility drivers in an optimal way.
ENERTOP has a user friendly interface which enables visualizing the different component of the optimal energy strategy, the forecast on electricity price and your optimized energy cost.