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Natural gas has a higher conversion-
efficiency than other fossil fuels when
producing electricity or heat, meaning
less energy is lost in the process.
RESEARCH AND DEVELOPMENT PLAN
(R&D PLAN)
ENTSOG methodologies, tools and data scenarios are
being continuously improved. In 2014, ENTSOG finalised
many deliverables planned in previous years’ AWP.
Altogether it enabled cost-benefit analysis methodology to
be implemented. The resulting improvements were also
implemented in other deliverables such as the Supply
Outlooks.
The Supply and Demand (S&D) and Network Modelling
(NeMo) Kernel Groups form the core of the Investment
Working Group in charge of developing innovative ap-
proaches and tools.
Supply and Demand Kernel Group
S&D KG performs research to expand knowledge of the
supply and demand aspects of European gas. This know
ledge is used to develop an improved definition of the as-
sumptions and approaches used in the seasonal outlooks
and TYNDP.
In 2015, S&D KG deepened its knowledge of ENTSO-E
TYNDP input data and results and consequently improved
the approach to gas demand for power generation for
TYNDP 2017. In addition, the Kernel Group defined ration-
ales for three demand scenarios to be used by TSOs when
providing demand data for TYNDP 2017.
ENTSOG’s R&D activity also includes other matters such as
evaluating the impact of demand-side measures. Consider-
ation of these issues is underway and will continue through-
out 2016. In 2015, ENTSOG and ENTSO-E already cooper-
ated on their Winter Outlooks, which allowed them to reflect
on the ability to mitigate gas security-of-supply issues by
substituting gas-fired generation means by other generation
means as part of ENTSO-E Winter Outlook.
Network Modelling Kernel Group
In 2015, ENTSOG factored in feedback from TYNDP 2015
and, consequently, began to improve its modelling ap-
proach. One such improvement is the modelling of high-
demand situations (making use of average climatic year
modelling results) independently from the rest of the year.
This was tested successfully within Winter Outlook
2015/2016. ENTSOG also initiated a change in the pro-
gramming language which will allow for faster simulations.
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ENTSOG Annual Report 2015