 |
 |
 |
 |
 |
 |
 |
 |
General information
|
 |
 |
 |
 |
 |
 |
|
 |
 |
 |
Description
|
|
|
 |
 |
 |
By fixing the average speed between stops, the timetable has a decisive
influence on energy consumption. The design of the timetable underlies rigid
requirements imposed by
- Technology: installed power
- Safety: speed limits
- Service quality: fast transportation, short travelling time,
punctuality
- Capacity and mixed operation: no interference with other trains running on
the same line.
Within this rigid framework, some degrees of freedom remain which can be
exploited to optimise the timetable for energy efficiency:
- The amount of buffer times foreseen by a given timetable is of crucial
relevance for the realization of energy efficient driving
strategies. Elasticity of average energy consumption with respect to
buffer times is very high, i.e. slightly increased buffer times lead to strong
reductions in energy consumption, especially if original buffer times were low
(<5% with respect to shortest time driving strategy). Buffer times are also
a key factor for punctuality and surveys demonstrate that most passengers give
higher importance to punctuality than to minimum reductions in travel time. As
a consequence, there is optimisation potential for both energy efficiency and
service quality.
- On many lines there exist low-speed sections that could be removed without
major costs. This would not only reduce travel time but also reduce energy
consumption since the deceleration and subsequent acceleration caused by speed
limits on short parts of the line usually overcompensate the energetic effect
of reduced air drag in speed limit sections.
- Average energy consumption can often be reduced by reassigning running
times between intermediate stations while keeping the running time between
main stations constant. This can either aim at the strategy of consciously
delayed trains or at a homogeneous distribution of buffer times to the
different parts of the line. Due to the non-linear dependence of energy
efficiency potential on buffer times, a reassignment of the available time
surplus will often have beneficial results. However, the effect of this
measure is expected to be rather limited.
|
 |
 |
General criteria
|
 |
 |
 |
 |
 |
 |
|
 |
 |
 |
Status of development: in use |
|
|
 |
 |
 |
The integration of energy issues in the timetable design is not common in railways. |
 |
 |
 |
 |
|
 |
 |
 |
Time horizon for broad application: in < 2 years |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Expected technological development: dynamic |
|
|
 |
 |
 |
Powerful optimisation algorithms and simulation programmes have to be developed to optimise a timetable under given restrictions. |
 |
 |
 |
 |
|
|
 |
 |
Motivation:
|
|
|
 |
 |
 |
Energy saving |
 |
 |
 |
 |
|
 |
 |
 |
Benefits (other than environmental): medium |
|
|
 |
 |
 |
Depending on the optimisation strategy win-win situations can occur:
- Increased buffer times increase running time only slightly but may improve
overall punctuality considerably.
- The elimination of low-speed sections reduces running
time
|
 |
 |
 |
 |
|
 |
 |
 |
Barriers: medium |
|
|
 |
 |
 |
Other priorities
Timetable design is a highly complex task in which numerous restrictions and
constraints have to be taken into account. Energy efficiency obviously has a low
priority in this context. |
 |
 |
 |
 |
|
|
 |
 |
Success factors:
|
|
|
 |
 |
 |
Focus communication of such measures on win-win situations to be achieved (cf. Benefits). |
 |
 |
 |
 |
|
 |
 |
 |
Applicability for railway segments: high |
|
|
 |
 |
Type of traction: electric - DC, electric - AC, diesel
|
|
|
 |
 |
Type of transportation: passenger - main lines, passenger - high speed, passenger - regional lines, passenger - suburban lines, freight
|
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
|
 |
 |
Grade of diffusion into railway markets:
|
|
 |
 |
 |
Diffusion into relevant segment of fleet: not applicable |
|
 |
 |
 |
Share of newly purchased stock: not applicable |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Market potential (railways): not applicable |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
|
 |
 |
Example:
|
|
|
 |
 |
 |
Timetable optimiser (TTO) as part of the Metromiser For details cf. DAS in suburban operation |
 |
 |
Environmental criteria
|
 |
 |
 |
 |
 |
 |
|
 |
 |
 |
Impacts on energy efficiency:
|
|
 |
 |
 |
Energy efficiency potential for single vehicle: not applicable |
|
 |
 |
 |
Energy efficiency potential throughout fleet: 1 - 2% |
|
|
 |
 |
 |
It is estimated that system-wide energy consumption may be reduced by at least 2% without any appreciable reductions in service quality. |
 |
 |
 |
 |
|
 |
 |
 |
Other environmental impacts: neutral |
|
|
 |
 |
 |
(no details available) |
 |
 |
Economic criteria
|
 |
 |
 |
 |
 |
 |
|
 |
 |
 |
Vehicle - fix costs: none |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Vehicle - running costs: significant reduction |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Infrastructure - fix costs: low |
|
|
 |
 |
 |
Costs for calculations and simulations. |
 |
 |
 |
 |
|
 |
 |
 |
Infrastructure - running costs: unchanged |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Scale effects: none |
|
|
 |
 |
 |
(no details available) |
 |
 |
 |
 |
|
 |
 |
 |
Amortisation: < 1 year |
|
|
 |
 |
 |
(no details available) |
 |
 |
Application outside railway sector (this technology is railway specific)
|
 |
 |
Overall rating
|
 |
 |
 |
 |
 |
 |
|
 |
 |
 |
Overall potential: promising |
|
 |
 |
 |
Time horizon: short-term |
|
|
 |
 |
 |
An energetic optimisation of timetables is often feasible without increasing running time and can in some cases even improve service quality. Achievable energy efficiency gains are promising. The main barrier can be seen in the low priority of energetic optimisation in timetable design. A very good cost-benefit ratio of most measures clearly justifies a thorough assessment of hidden potential. |