search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
| Advertorial feature


Process simulation is the DNA to every project


Why is the digital twin so important for the power industry?


Unlike other industrial processes, power generation is directly linked to the consumers of its product, since electric power cannot be economically stored in the quantities needed to continuously balance supply and demand on the grid. Thus, most power plants must follow the load demand and operate under conditions which are different from their design conditions for most of the time. The growing share of renewable energy in the generation mix that stems from intermittent and highly fluctuating sources has dramatically aggravated this situation. In order to create an optimal design for a new plant or the modification of an existing plant, the engineer must therefore evaluate proposed designs across the entire range of expected operating conditions.


For an existing plant operating in a deregulated competitive market environment, the accurate prediction of plant capacity and fuel consumption under expected conditions for the next day or week is essential to mitigate the risk of overcommitting plant capacity


and to bid competitive prices sufficiently above actual cost of generation.


What must be considered in the simulation?


While textbook equations can be applied to calculate design heat balances with simple tools such as Excel, the key to an accurate and useful process simulation model is the so-called off- design simulation. Every component of the plant must have a set of equations that represents how its performance will change with changing operating conditions. Heat balance software that inherently includes off-design capabilities which can be easily adjusted to exactly match vendor performance information enables the user to switch from a design input to a detailed simulation model. Such a model will allow for the evaluation of the design over the entire range of operating conditions without making it an excessive academic exercise.


Why is EBSILON®


solution? EBSILON®


Professional the best Professional allows for


in-depth thermodynamic analysis benefiting from its comprehensive


features, such as: • individual equipment characteristics in design and off-design mode,


• a full record of all flows of the plant, • flexibility in equipment arrangement, plant configuration and mix of technologies including renewables,


• control loops by components or scripts,


• a powerful, fast and reliable equation based solver,


• an open architecture to include user- defined models for new technology,


• a user-friendly interface to Excel®, • a state-of-the art graphical user interface and a wide variety of output options in graphical and tabular formats, and


• an interface to Python as the bridge to advanced data analytics.


ENEXSA cooperates with STEAG Energy Services in the development of EBSILON and offers customized application specific training seminars as well as modelling services for any type of thermal power generation process.


If you want to learn more about EBSILON, please contact ENEXSA!


Contact Information: Josef Petek, Manager Commercial Operations, ENEXSA GmbH, Parkring 18/G, 8074 Raaba-Grambach, Austria www.enexsa.com josef.petek@enexsa.com


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89