1. Introduction
Electric railway systems play a significant role when it comes to energy consumption as their primary source of generation is still the burning of fossil fuels within power plants. These power plants contribute to over 40% of worldwide carbon dioxide (CO
2) emissions, totaling over 34 billion tonnes per year [
1]. The transportation sector itself is responsible for over 20% of CO
2 emissions, with rail transport in particular being responsible for over 3% [
2]. With rapid developments in urban rail transit leading to further increases in energy demand, improving energy efficiency and reducing energy consumption have become top-priority challenges in the transportation sector around the world. The main goal is to achieve sustainable mobility in such a way that the ecosystem can regenerate, reducing reliance on fossil fuel-based power plants. Some attention has shifted towards regenerative braking technology that is available on most modern-day train cars as a means to reduce overall energy consumption.
In an urban railway network, trains accelerate and brake frequently, transferring large amounts of energy when doing so. With regenerative braking capability, the traction motors propelling a train act as generators during deceleration (braking). The motors convert mechanical energy back into electrical energy, using it to power onboard auxiliary loads, before sending it back to the power supply (e.g., the third rail, as in NYC). Not only does this lead to voltage fluctuations, but any energy unused along the way is wasted through thermal dissipation. Current utilization of RBE in NYC’s subway system is relatively low (~8–9%) as there exists no means to actively manage its transfer, i.e., to store it for later use or direct it to an adjacent load [
3].
Several studies have been carried out to increase the amount of energy that can be recuperated from braking trains. The main goal of these studies has been to improve overall energy efficiency, mainly through the use of energy storage systems (ESSs); the introduction of alternative reversible paths to the main power supply (reversible substations); or the inclusion of alternate adjacent loads (e.g., electric vehicles).
ESSs provide a means to store energy to be used at a different time. When placed in such an application, they can allow excess RBE to be stored and not wasted. One example of such an application is on London Underground’s Piccadilly line, where voltage fluctuations were measured to be between 450 VDC and 880 VDC, mainly due to the regenerative braking capability of trains. For one week in October 2000, a trackside flywheel energy storage system (FESS) was installed, and where it was initially only possible to transfer 14% of RBE, the FESS allowed it to be increased up to 30%. However, the total energy produced by braking trains exceeded the 300 kW capacity of the FESS. Therefore, the manufacturer estimated that a 1 MW flywheel installation (similar to the one presented in the case study later on) would be more appropriate. With the 1 MW FESS, the manufacturer estimated that energy consumption could be reduced by up to 26%, saving up to £50,000. The FESS would cost £210,000 plus an annual operating and maintenance cost of £2500, equating to an estimated payback period of approximately five years. Similarly, in 2002, Madrid de Metro faced voltage drops from their ideal 600 VDC down to 470 VDC, and, therefore, invested in an ultracapacitor energy storage system to maximize the benefits of available RBE. Field tests showed 30% in power savings and a reduction in voltage drops below 530 VDC. Energy consumption was able to be reduced by about 65 kWh per hour, or about 320 MWh per year, leading to annual savings of ~
$32,000 [
4].
In addition to wayside energy storage, onboard (i.e., on the train itself) mounting of ESSs has also begun. For example, Japan’s N700S series of high-speed trains, which normally rely on overhead catenary lines, now come equipped with 83 kWh lithium-ion batteries designed for emergency rescue procedures [
5]. Germany’s Deutsche Bahn has also begun equipping their passenger trains with 300 kWh batteries for improved sustainability [
6]. However, not all systems can accommodate onboard deployment due to the increase in cost (especially for battery systems) and weight. Any increase in weight can compromise the design intent of passenger trains, taking over the space otherwise meant for passengers. Onboard ESS mounting in NYC’s subway system has mostly been avoided as the transit authority is already in the process of removing seating at the end of each car to create enough space for additional passengers. This would allow 8–10 more people in each car, totaling up to 100 extra riders per train [
7].
In most traditional railway infrastructure, the electrical path to provide power to each train is primarily unidirectional, meaning energy cannot be sent back to the power supply. This is also why the third rail voltage rises in NYC when RBE is pushed into it, as the energy cannot flow back through traction substation rectifiers. The third rail is what provides the 650 VDC to accommodate each train’s propulsion and auxiliary needs. With advancements in switching systems (transistors), a reverse path can be provided to allow bidirectional exchange between both the AC and DC sides of the railway power distribution network. Inverters can work in parallel with the diode-based rectifiers already present to reduce power consumption. One such study performed by members of France’s SNCF railway company used a quasi-static model of their electric railway system, consisting of a traction substation and a train nearby. With the introduction of bidirectional inverters into the network, the study concluded that up to 20% of a train’s traction energy could be recovered via regenerative braking [
8].
Providing an immediate sink for excess energy, i.e., another load present, allows energy to be reused immediately. Coupling that with energy storage provides flexibility in load management. A study performed by members of the Electrical Engineering Department at the Sapienza University of Rome used deterministic–probabilistic models to simulate the inclusion of a stationary ESS (battery), as well as adjacent electric vehicle loads (cars and buses), to help manage large energy transfers within Rome’s metro-transit system. There, it was concluded that 30–38% of traction energy could be recovered [
9].
Since energy consumption in substations is sensitive to the no-load voltage during operation, it has also been proposed to increase the voltage (to a still-acceptable value) via substation transformer tap changers. However, this reduces the system’s capacity to absorb regenerative energy, which can lead to inefficient energy consumption figures, especially during off-peak hours [
10]. This could also be troublesome when connecting ESSs as their set-voltage limits may need constant updates. Additional theoretical methods include a unique study performed by members of the Electrical Engineering Department at the University of Birmingham, U.K., which proposed a computational algorithm to increase the total generated RBE via a “blended braking mode”, where both electrical and mechanical forces would work together, as trains would no longer decelerate at a constant braking rate, but brake optimally following a desired trajectory. With comparable total brake times, incremental recovery rates of up to 17% were achieved [
11].
For regenerative braking to enable the most savings without reversible substations or the use of ESSs, a second train (a form of adjacent load) should be nearby, accelerating in the same section of the system and during the first train’s regeneration cycle. Regenerative energy can then be drawn by the second train, easing demand from the source substation that would otherwise normally provide for that second train. Scheduling trains for this to occur, a process called Train Timetable Optimization, shows that up to 14% in energy savings can be achieved with proper scheduling [
12,
13]. However, train timetable optimization is not currently feasible for several systems, such as that of NYC, due to block signaling, operational delays, and frequent start/stop cycles. Therefore, another adjacent load, i.e., a charging electric vehicle drawing off of the same substation, may be more feasible.
As mentioned before, the transportation sector exists as a major source of emissions; hence, plans to combat global warming and reduce greenhouse emissions include aggressive vehicle electrification targets, not pertaining to just railway systems. With the ongoing shift from gas-powered to electric-powered vehicles, charging equipment/infrastructures are poised to strain the power grid. Therefore, practical ideas and approaches to mitigate the impact of vehicle electrification on the power grid are very much needed. In the proposed network, electric vehicles, in particular electric buses, are fed by the third rail (i.e., the same power supply for NYC subway trains) during off-peak hours. Not only does this provide a sink for RBE, but the impact of electric bus charging on the power grid is also mitigated.
Electric buses offer zero-emission energy consumption, quieter operation, and better acceleration compared to traditional buses. Propulsion is delivered through electric motors, which obtain their energy through onboard batteries, normally charged by connecting to the power grid. The batteries can be charged via equipment that can be strategically located as desired and the central hypothesis of this article is that the use of preexisting railway infrastructure to provide electric bus charging energy will result in the best benefits to both systems involved. The focus here is on the public bus fleet as there already exists a large number of electric buses, which can make a significant impact towards electrification goals; bus fleet electrification plans already in place; and the fact that both the subway system and public bus fleet are owned and operated by the same transit agency, which makes this proposal practical from a regulation perspective.
This article is organized as follows:
Section 2 describes the NYC subway system,
Section 3 describes NYC’s new all-electric bus operations,
Section 4 presents a case study simulating the proposed application, and
Section 5 provides a conclusion.
4. Case Study
This case study consists of simulating NYC’s subway power distribution network and monitoring resulting changes in voltage, current, and power, as inputs to the model are varied through multiple cases. The 7 train is modeled using its previously shown current and speed profiles, and the advantage of taking this approach is that it already takes into account the train’s real-time movements (coasting, braking, etc.), onboard flow control, and the variable resistances seen by the third rail. This allows the focus of the study to shift to the rest of the system, where the effects of the train’s behavior can be studied in further detail.
As shown in
Figure 8, the distribution network consists of multiple substations working in parallel, and their contribution to a train’s required energy for acceleration depends on how far away they are from the train. Real-track distance measurements have been included in the simulation (represented through fixed resistors located in-between the substations). The train here is simulated to be arriving into the 61st St-Woodside passenger station (the location of the flywheel-based energy storage facility) as its position along the track is represented through variable resistors located on both sides. To simulate the train’s motion, the variable resistances of the third and running rail, on both sides of the train, can be calculated via Equations (4)–(7).
RTd (Ω) and
RRd (Ω) are the varying third rail and running rail resistances, respectively, between the train and the destination station (61st St-Woodside).
RTo (Ω) and
RRo (Ω) are the varying third rail and running rail resistances, respectively, between the train and the origin station (69th St-Fisk Ave). These parameters depend on the train’s ft-distance traveled (
xp), which is calculated through integration of the train’s speed profile (
Figure 5b).
RTR and
RRR represent real measurements of the resistance-by-ft of the third rail and running rail, respectively.
xT represents the total distance between the origin station and the destination station, i.e., about 1980 ft.
As mentioned early on, upon application of its brakes (deceleration mode), the train sends regenerative energy into the third rail, causing voltage spikes (
Figure 9) exceeding the pre-established voltage of 650 VDC. A base case (Case 0) is established where no possible sink, other than the rail itself, is provided for the extra energy. With the braking chopper onboard the train disconnecting it for overload protection, the excess energy is simply dissipated as heat. Case 1 then includes the addition of a 1 MW electric vehicle (EV) load to study the possibility of using the excess regenerative energy to charge electric buses located at the 61st St-Woodside passenger station. Case 2 then adds wayside energy storage, i.e., the previously mentioned flywheel system, to help store energy and reduce the overall substation consumption even further.
4.1. Case 0: Base Case
Figure 10 shows the current and power profiles of Case 0, respectively.
As the train is modeled to be heading westbound into 61st St-Woodside station (starting from about one station away, i.e., at 69th St-Fisk Ave station), the closest substation to the train is 78th St Substation, which, hence, contributes the most to its power and current profiles. Here, 58th St Substation becomes a greater contributor as the train approaches the 61st St passenger station. As mentioned before, negative current and power values for the train represent regenerative energy sent back to the third rail, which, as visible here (with the substation current and power values always staying positive), is unable to flow back into the substation (irreversible path), again leading to the voltage spikes shown in
Figure 9 (from about 30 s to 60 s). All of the excess voltage represents energy that can be utilized elsewhere, rather than being unwantedly dissipated as heat.
4.2. Case 1: 1 MW EV Load
Figure 11 shows a 1 MW EV load added to the model, a size sufficient enough to comprise of multiple 50 kW, 300 kW, or 500 kW electric chargers used to charge the Catalyst E2 and XE40 Xcelsior buses. With the EV load located at the 61st St station (
Figure 8), a buck-boost controller is integrated to regulate the EV voltage at 480 VDC through a DC–DC converter. This allows integration with the preexisting third rail set at 650 VDC.
Figure 12 demonstrates successful regulation of the EV load at 480 VDC and 1 MW, respectively, while
Figure 13 shows where the EV load is drawing most of its energy from. With the EV load situated at 61st St, a majority of its power is drawn from 58th St Substation, i.e., the closest substation.
As previously shown in Case 0 (
Figure 10), when the train is drawing power (acceleration mode), 58th St Substation provides a peak power of 1 MW, while 78th St Substation provides a peak power of 2 MW. Now with the placement of the EV load at 61st St-Woodside station (closer to 58th St), 58th St Substation provides a peak power of 1.86 MW, almost as much as the 2 MW still provided by 78th St Substation. With the third rail voltage still not dropping below an acceptable value of 614 VDC (
Figure 14), while at the same time providing enough energy to both charge the EV load as well as accelerate the train, this demonstrates successful application of the third rail to charge electric buses without hindering regular train operation.
Another observation to note is that when the train is braking (deceleration mode), not only is 58th St Substation still charging the EV load, but part of the regenerative energy sent back from the train is also sent to the EV load. This is evident as the peak in the third rail voltage without the EV load in Case 0 (
Figure 9) is 720 VDC, while with the EV load (
Figure 14) it is 710 VDC; both with the same amounts of regenerative energy traversing the network. With the added EV load producing lower increases in voltage, and the fact that substation power follows an irreversible path, more regenerative energy is directed towards the EV load, rather than being dissipated as heat.
4.3. Case 2: 1 MW EV Load and Flywheel
Case 2 involves adding energy storage into the network, specifically the 1 MW flywheel previously discussed, also located at 61st St-Woodside station. The flywheel eases the load on the nearby substation (58th St) by providing a means to flatten out its power consumption curve over time. Charging and discharging of the flywheel is controlled (
Figure 15) through monitoring of the third rail voltage and maintaining it at 650 VDC.
The flywheel’s controller limits its power input and output to 1 MW, and depending on the third rail voltage its controller detects, decides to charge (positive current) or discharge (negative current) the flywheel. A torque limiter is included to allow safe operation of the flywheel. As previously seen, when the train draws energy, the third rail voltage drops. This causes the flywheel to discharge current (
Figure 16) to regulate the third rail voltage and try to keep it near 650 VDC. When the train sends back regenerative energy, the third rail voltage rises, during which the flywheel draws however much energy it can without exceeding its 1 MW power capacity (
Figure 16).
The EV load is still included in the model to act as a continuous sink for the energy sent back and forth, again demonstrating how electric vehicles can still be charged in parallel.
Figure 17 shows the current and power profiles, respectively, of the entire network, with the inclusion of both the EV load and flywheel.
As visible in (
Figure 17), 58th St Substation’s peak power consumption is significantly reduced with the inclusion of the flywheel, going from 1.86 MW in the previous case down to 1.2 MW, a reduction of approximately 35%. Not only that, but the substation’s power output curve is also maintained near a continuous 0.9 MW as the flywheel eases its discharging responsibilities. The flywheel also charges when excess regenerative energy is available, paving the way for further discharge when the substation needs assistance.
Figure 18 shows a third rail voltage comparison between all three cases. As mentioned previously, it is evident that inclusion of the EV load provides a sink for excess regenerative energy, in turn reducing the resulting rise in third rail voltage. Further inclusion of the FESS into the network allows even better third rail voltage regulation and the ability to both flatten and shift the power consumption curve of the nearest substation. Successful operation of the entire network collectively, without hindering regular train operation, proves that the subway system can be utilized to charge electric buses.
Table 1 summarizes the parameters of the system under study.
4.4. Expanding to a 24 h Interval
The previously mentioned cases test the resiliency of the network with the EV load always connected and the larger train load changing as it would in real time. With the train still able to successfully draw its required energy for operation, an argument can be made for electric bus deployment into the network. However, as seen in Case 1, having the EV load always connected would increase the peak load, as well as the demand charges, especially when compared to not having it connected at all (Case 0). Therefore, to make better use of electric bus deployment, it would be more beneficial to charge the buses only during off-peak hours, e.g., overnight or midday, since the infrastructure is more relaxed during those times. The MTA’s new all-electric buses are already charged during those times (at both depots, as well as en route stations). As for the 24/7 subway system, there are still less trains during the night as compared to the day. Therefore, the EV load can be included into the network to not exceed overall daily substation peak power consumption, yet still benefit from the available excess energy. By still incorporating energy storage into the network (flywheels), excess regenerative energy can still be saved and utilized to charge the electric buses more flexibly.
Figure 19 shows the average hourly total power consumption for the same substations simulated in the case study, but along a 24 h interval. Each graph also shows the available energy for off-peak transfer (i.e., valley filling) when taking the aforementioned approach. The graphs are generated by averaging the load data measured at each substation over fifteen-minute intervals. The average available energy for just these four substations is about 11.7 MWh, which is sufficient enough to charge twenty-six 440 kWh buses.
5. Conclusions
This article has demonstrated that charging NYC’s new all-electric buses via its preexisting subway network is feasible from both a technical and applicable standpoint. Infrastructure upgrades can be minimized through the utilization of preexisting resources, and regular train operation can remain uninterrupted as the third rail voltage for regular operation can still be readily available. RBE recuperation through the use of a WESS can reduce overall substation peak power consumption, as well as decrease power losses throughout the system. The recuperated energy can be used to charge electric buses, in turn easing the load off of subway substations. Sizing of the chosen wayside energy and EV systems have been made comparable, for instances where RBE is not available (either due to a train not being present nearby or traveling too slow to regenerate any energy). The EV load is intended to be deployed during off-peak hours to not exceed the overall daily substation peak power consumption (if, for example, the WESS goes down), and it can be deployed either at the station itself or anywhere along the line, as long as it is nearby a subway third rail. By incorporating the WESS, excess regenerative energy can be saved and utilized to charge the EVs more flexibly. Overall, the system still exists as is, where if the EV load or WESS are not able to draw any RBE, the third rail voltage will rise and the train(s) will be disconnected, hence the proposed technology serves to merely add to what already works, with the intent to make it more efficient.
The case study demonstrates integration of electric bus charging at just one of 400+ passenger train stations located in NYC. Most of the city’s buses all pass by at least one train station. As mentioned earlier, the Catalyst E2 buses pass by a 7 train stop at Court Square passenger station, and similar behavior would be seen if the buses were to be charged at that station. Perhaps that station could be used for experimental tests next. The 61st St-Woodside station was selected for this study since a flywheel-based energy storage facility will be located there, allowing regenerative braking recuperation and making the shift to off-peak charging easier. When the MTA does eventually transition its entire fleet to all-electric, buses that pass by the 61st St station, including the Q18, Q32, Q53-SBS, and Q70-SBS, can be charged as well. With further advancements in energy-storage technology, the MTA may soon consider including more ESS’s into their network. The proposed concept eases the shift to a carbon emission-free environment by allowing electric buses to act as a sink and capture RBE, while still being charged with minimal impact on the power grid.