………… .Network operator Lattice and German multi-utility RWE have teamed up to offer a service to traders, gas shippers and network owners seeking to shift gas around Europe. The two companies spend 6 million pound on a joint venture named Viavera. RWE had 60 per cent share ...
Sample project (I): entry-exit systems for gas network utilisation
The creation and organisation of entry-exit systems is intended to ensure greater simplification and transparency of network utilisation in the gas market. As part of a consulting project, they developed an entry-exit third party access model together with a network operator, taking into account the legal specifications and regulations valid at the time. Existing model approaches were integrated into the consulting process as well
Sample project (II): process simulation for cost-effective supply in third party networks
As part of a simulation project, they identified, implemented and optimised a customer’s processes necessary for the supplying of portfolios in third party networks. Using realistic simulations, it was possible to test all processes before encountering the risks involved in an actual delivery.
Sample project (III): supply cost optimisation through diverse gas suppliers and active portfolio management
Various approaches can be taken in the diversifying and optimising of gas supplies. Antitrust law dictates that the traditional supplier should be granted a duty-free allowance of 20%. The existing demands of the company and the contractual restrictions of the supplier can be analysed and evaluated to see whether or not this is actually possible. These findings and the analysis of the procurement portfolio were implemented to develop approaches for optimising contract specifications.
Sample project (IV): optimisation and further development of short-term forecasts
Due to the optimised procurement and restrictive flexibility regulations within various third party access regimes, more and more companies must depend on a reliable sales forecast for their supply area. The aim of this project was to further increase the quality of those forecasts. Necessary steps to achieve this goal included the analysis of input data, optimisation of the forecast method and model maintenance all the way to evaluation of the forecast results.