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Energy Storage for Distributed Energy Resources Deployments Financial, Technical and Operational Challenges and Opportunities White Paper 118 2128 W. Braker Lane, BK12 Austin, Texas 78758-4028 w w w. a c t i v e p o w e r. c o m Executive Summary Microgrids and distributed energy resources (DER), including renewable energy sources and energy storage systems, create significant opportunities to transform the way energy is generated, delivered and consumed. With these opportunities come financial, operational, and technical challenges. An energy storage system that integrates flywheel and batteries can solve these challenges and unlock the potential of these new approaches. 2 Financial Opportunities and Business Case Development Typical Deployments A typical microgrid or DER deployment consists of the following key elements: • • • • • Renewables generation: solar photovoltaic or wind turbines or both, for the prime renewable energy, and the inverter systems to connect them to the grid. Standby generators: one or more generators, either natural gas or diesel, to provide supplemental power when renewable generation is insufficient and emergency power in the case of a failure or disaster. Power factor correction equipment, typical in the form of capacitor banks, to enhance the power quality in a localized area Ultracapacitors, providing very short-term (milliseconds to seconds) supplemental power to smooth transitions among distributed sources and to support load steps. A control system to orchestrate the power supply assets and balance that supply with the load being serviced by the deployment. New projects incorporating renewables are increasingly deploying energy storage as a way to improve the economics of the project.1 Energy storage both reduces costs and generates revenue by allowing the grid to match generation to the time of use, reducing reliance on utility or generator sets, and enabling peak shaving applications. The most common energy storage solution deployed today is lithium-ion batteries storing some significant fraction of the renewables load for an extended period (typically hours, supporting the night-time base load). Other batteries chemistries such as lead-acid and flow batteries are less frequently seen. Early deployments of batteries (of several different chemistries) as energy storage for renewables have been economically and operationally challenging. Batteries have a defined, limited lifespan, determined by a combination of the number of discharges, the depth (duration) of discharges, the rate of recharge, and the age of the batteries. The more discharges a battery sees, even short ones, the more quickly it will reach its end-of-life voltage for the application and need to be replaced. In renewables deployments, the batteries have been called into nearly continuous discharge/ recharge cycles – often but not always for short duration – to help keep the grid stable as the supply of power generated by the renewable sources swings up and down, and as the demand on the grid swings up and down. Operators have been surprised as they’ve been forced to replace their worn-out batteries much more quickly than anticipated – in 3-7 years rather than the expected 10-12. When calculated against a typical 20-year planning horizon for this type of asset, the cost of energy storage has increased by 50 percent over the baseline assumption – from the initial purchase plus one replacement to the initial purchase plus two replacements – jeopardizing the business case for energy storage and the operational viability of renewables. A New Hope One solution to the challenges of battery energy storage is through the integration of flywheel technology with the batteries. 3 1 GTM U.S. Energy Storage Monitor, Q2 2015 Active Power has developed its CleanSource 750PD (for Power Driver) system to provide an integrated approach to flywheels and batteries, resulting in a superior energy storage system for both short- and long-run power needs. Figure 1 - CleanSource 750PD with Extended Runtime Cabinet The Power Driver solution comprises three key elements: • 4 The CleanSource flywheel, which stores kinetic energy – energy produced by motion – by constantly spinning a compact rotor in a low-friction environment. When short-term power is required because of fluctuations in renewable generation or load steps, the inertia of the flywheel allows the rotor to continue spinning and the stored kinetic energy is converted to electricity and delivered to the grid. Figure 2 - CleanSource 750 flywheel • • The Extended Runtime Cabinet (ExRC), a DC/DC converter close-coupled to the CleanSource 750PD. Additional energy storage, such as batteries of any chemistry, attaches to the ExRC. The battery power for long-term energy storage is then discharged through the Power Driver. The flywheel and the batteries connect to the grid as a single energy source. Power electronics in the CleanSource 750PD provide the bi-directional inverter function to discharge both energy sources in less than 10 milliseconds from when called upon by the control system, and to keep them charged. See Figure 3 below. The power electronics also enable the Power Driver to deliver kVARs to the grid as required, providing essential power factor correction functionality organically. Line Inductor Input Contactor Static Disconnect Switch Filter Inductor Flywheel Machine Bi-Directional Inverter Bi-Directional Inverter - + DC/DC Converter Battery System Figure 3 - CleanSource 750PD power path This combination of flywheel and batteries unlocks the economic potential of energy storage attached to renewables. An energy storage solution based on integrated flywheel and battery technology will have an end-to-end project total cost of ownership 25-30% less than a batteryonly storage solution. The energy storage portion of these projects alone is reduced in excess of 40%. Total Project Cost The integrated energy storage solution lowers TCO in a number of ways: First, it directly improves the life of the battery by reducing the number and duration of battery discharges. In normal operating mode, the flywheel reacts first, and engages the battery only if needed; if the demand is less than 8-10 seconds the batteries will not be used. The CleanSource flywheel suffers no degradation of runtime when discharged. The flywheel can be called upon to protect the load frequently and deeply for its 20 year life and still provide the same amount of stored energy as on day one. The result is lower maintenance and replacement costs over a 20 year deployment, with battery replacement required only once with the CleanSource PD integrated storage solution as opposed to twice in a battery-only deployment. Second, the CleanSource PD reduces the size of the battery system needed. Batteries experience a phenomenon known as the “coup de fouet” (French for “bullwhip”), a sharp voltage dip upon initial discharge, followed by a recovery.2 See Figure 4 below. Battery installations are 5 See Hua, Zhou, Song, http://www.conferenceworks.net.au/13abc/post-conference/3.11%20 revised%20shou%20nan%2013ABC.ppt 2 sized to provide enough voltage to overcome the coup de fouet, resulting in larger installations than needed to provide power over their entire lifecycle. Voltage Vp Vd tp td Cut off Time Figure 4 - Coup de Fouet effect on batteries As shown in Figure 5 below, in the CleanSource PD system, when a battery discharge is required, the flywheel will transfer the load to the batteries in a controlled manner, thus reducing the initial step load discharge. The size and cost of the battery energy storage asset can be reduced by roughly 15 percent, lowering both initial and ongoing battery replacement costs. Load walk on reduces CDF Voltage Vp Vd tp td Cut off Time Figure 5 - Reduced Coup de Fouet effect with CleanSource Power Driver Third, an integrated solution reduces or eliminates the cost of ancillary systems required by the renewables deployment. CleanSource PD provides power factor correction functionality natively, and thus eliminates the need for capacitors. It reacts to supply/demand smoothing requirements in milliseconds, eliminating the need for ultracapacitors. And backup generator sets and supporting switchgear and inverters can be “right-sized” due to the reduction in the size of the battery system and elimination of that extra equipment. 6 A sample microgrid use case which illustrates this TCO reduction is as follows: • Site definition – Microgrid application with average load of 2.5 MW and a peak load of 3.57 MW. We believe this to be a representative microgrid deployment in the energy marketplace in the coming years. • Solution definition – The battery-only solution consists of a photovoltaic array, backup generator, 1 MW / 4 MWh of lithium-ion batteries and ancillary equipment, and capacitors and ultracapacitors for supplementary energy services. The integrated solution includes Active Power’s CleanSource 750PD system to provide short-term energy storage and the supplementary services and eliminates the need for capacitors and ultracapacitors. Figure 6 below illustrates the approximate costs for each of the components comparing batteries alone versus an integrated, hybrid energy storage approach (in $000s): Solution Component Without Power Driver With Power Driver Initial Investment Photovoltaic Array $7,857 $7,857 Energy Storage $3,500 $3,000 Gas Gen Set $936 $720 Switch Gear $325 $250 Monitoring & Control $71 $71 Capacitors for PFC $250 $0 Ultracaps for Smoothing $600 $0 CleanSource Power Driver $0 $1,060 Total Cap Ex $13,539 $12,958 Maintenance and Replacement Costs Energy Storage $6,800 $2.900 Capacitors for PFC $750 $0 Utracaps for Smoothing $600 $0 Total Op Ex $8,150 $2,900 20 Year TCO $21,689 $15,858 Figure 6 - 20-Year TCO of Greenfield DER Deployment As shown above, the addition of the Power Driver flywheel solution greatly improves the 20year TCO of a greenfield renewables-plus-energy storage deployment by nearly $6 million, a reduction of 27 percent. The primary driver of this savings is the reduction in spend on batteries, both now and in the future, due to the presence of the Power Driver system. This result holds even forecasting substantial cost reductions in batteries over the next 10-20 years. Similar savings are achievable with other battery technologies or renewable assets. 7 As shown in Figure 7 below, existing renewable deployments looking to add energy storage see an even sharper economic gain when comparing solutions with and without Power Driver. This model excludes the cost of the PV system and initial costs of the generators and other ancillary gear from the comparison, as they are assumed to be already deployed. Power Driver reduces the 20 year system spend by $4.7 million, a savings of 40 percent, primarily through the reduction in size and extended life of the battery asset. Solution Component Without Power Driver With Power Driver Initial Investment Energy Storage $3,500 $3,000 CleanSource Product $0 $1,060 $3,500 $4,060 Energy Storage $6,800 $2,900 Capacitors for PFC $750 $0 Utracaps for Smoothing $600 $0 Total Maintenance & Replacement Costs $8,150 $2,900 20 Year TCO $11,650 $6,960 Total Initial Investment Maintenance & Replacement Costs Figure 7 - 20-Year TCO of Existing DER Deployment Operational Value Drivers The improvement in project economics can also be demonstrated through the costs of energy on a per-kilowatt-hour basis. In the battery-only solution, the costs of energy are approximately 30.9¢/kWh over the life of the deployment ($21.7M total cost over 20 years, with 9.6 hours of usable energy per day). In addition, energy storage creates additional sources of incremental value for the customer, including: • Approximate worth of carbon offsetting resulting in an incremental 3.4¢/kWh of value. • Interruptible tariffs which can have an incremental value of 1-3¢/kWh depending on the contract. • Incremental tax incentives which vary over time and by customer type Figure 8 below illustrates the combination of the total project costs and incremental value sources compared to typical utility rates. From the starting point of 30.9¢/kWh, and subtracting 3.4¢/kWh for carbon offsetting and 1.5¢/kWh as an estimate for interruptible tariffs, the net generated cost of energy is 26.0¢/kWh. This is significantly higher than the average price of electricity for commercial customers in the California market for July 2015 – 18.3¢/kWh, according to the U.S. Energy Information Administration (solid purple line). Thus, even with assumptions of future cost reductions and additional sources of value, a typical renewables deployment with battery-only energy storage does not make economic sense. 8 35.0 30.0 3.4¢ 1.5¢ 25.0 Cost of Energy w/Battery only Energy Storage Additional Value Drivers 20.0 15.0 July 2015 California Commercial Energy Cost 30.9¢ 26.0¢ 10.0 5.0 0.0 kWh Cost Carbon Offsetting Interruptible Tariffs Potential Energy Cost (/kWh) Figure 8 - Net Generated Cost of Renewables Deployment with Battery-Only Energy Storage Deployment of an integrated energy storage approach dramatically changes the economics of the DER system. With the integrated energy storage system, the costs of energy for this microgrid application are approximately 22.6¢/kWh over the life of the deployment ($15.9M total system cost over 20 years at 9.6 hours of usable energy per day). This is a significantly less expensive alternative to renewables alone, renewables plus batteries, or traditional backup generation sources such as diesel. Depending upon market conditions and zonal pricing signals, this cost of localized generation in a grid-tied microgrid environment will be competitive with utility power on a regular basis especially during peak hours. Beyond the base cost, the total energy cost associated with the deployment can then be calculated by subtracting 3.4¢/kWh for carbon offsetting, and 2¢/kWh (slightly more than batteries-only due to improved dispatchability) as an estimate for interruptible tariffs. The result is the generated cost of energy given these assumptions is 17.2¢/kWh, significantly below the cost with batteries alone and below the 18.3¢/kWh average commercial power price in California. See Figure 9. 25.0 3.4¢ 20.0 Cost of Energy w/Integrated Energy Storage 2.0¢ 15.0 10.0 Additional Value Drivers 22.6¢ July 2015 California Commercial Energy Cost 17.2¢ 5.0 0.0 kWh Cost Carbon Offsetting Interruptible Tariffs Potential Energy Cost (/kWh) Figure 9 - Net Generated Cost of Renewables Deployment with Integrated Energy Storage In short, including an integrated energy storage solution in a photovoltaic deployment makes the entire solution economically feasible. 9 Recommendations By taking an integrated, hybrid energy approach, the lifetime costs of DER are greatly decreased and the economic value of these resources is increased. As a result, our recommendations for current and prospective DER operators are: 1. Requiring your systems integrator or project team to evaluate the use of an integrated energy storage solution for photovoltaic and wind DER deployments incorporating either photovoltaic or wind power, including an itemization of component costs over a 20 year period. 2. Analyzing any existing DER deployments which don’t currently include energy storage for opportunities to leverage and extend the value of your current asset base and the generated energy. 3. Quantifying the value of interruptible tariffs in your area of operation. 4. Quantifying carbon offsetting calculations (including operational commitments required to achieve credits) as part of the microgrid deployment based on market rates or contractual arrangements when applicable. Technical and Operational Considerations Use Cases Distribution network operations will still typically be performed by the utility in DER and energy storage deployments. However, utilities and operators will need to collaborate and exchange relevant operational data associated with the microgrid or DER on a near-time or real-time basis. Based on the market structure being implemented in several US territories, the control system will need to provide operational awareness and control of the microgrid on a real-time basis. These operations will include, but not be limited to use cases for: • • • • • • • Scheduling and/or limiting the real power output of the microgrid or DER Setting the schedule of energy storage Setting power factors Setting curves for volt-var control Changing the anti-islanding settings Issuing a connect or disconnect to the microgrid and/or receiving notification of a disconnect or reconnection of the microgrid. Sending and receiving both zonal and nodal price signals Within the microgrid, sub-second response by the various components will be required to comply with the use cases listed above. Additional use cases inside the microgrid will include: • • • • • • 10 Fast frequency response Frequency regulation Load forecasting Microgrid balancing of generation, storage, and load requirements Enabling of enhanced reliability (decreased outages and brownouts) Localized load shedding • Grid forming capabilities, including frequency reference, when the microgrid disconnects from utility power. An integrated approach of control systems, inverters, and flywheel technology can address sub-second requirements associated with each of these use cases. Battery technology isn’t well-suited for sub-second operational response, so the integrated approach enables these use cases to be addressed without impacting battery performance. Requirements of demand response applications aren’t nearly as stringent, so sub-second response would be overkill for load shedding events. Many of these use cases are contemplated by IEC 61850 for utility grids, but adaptation is needed for a microgrid environment. Power quality and power factor correction are also key considerations locally within the microgrid and can greatly impact both the operations and financial impact of microgrid technology. Overvoltage and under voltage and supply/demand imbalance can cause damage to various assets within the microgrid operations. An integrated energy storage solution provides optimal technology to address power factor issues. By injecting kVARs into the system, this technology can prevent or minimize utility penalties, minimize impacts to the distribution network, enhance reliability inside the microgrid, and prevent damage to assets inside microgrid operations. Implementation of standards for data models and data payload is a critical success factor for incorporating DER and energy from microgrids into the energy market. Microgrid system balances will require close coordination with utilities, aggregators, and distributed energy resources. In addition, standards for quality of service are also required for both control systems and components of the microgrid solution because of the nature of the actions and signals sent to and from the microgrid control systems. Timely, accurate data which can be orchestrated in the control system, acted upon and quickly executed by the microgrid components will be vitally important to delivering the value outlined in the previous section which focused on the business case. Recommendations In order to address the technical and operational requirements both inside the microgrid and when tying the microgrid to the distribution network, operators should consider: 1. Incorporating technology which complies with standard data models in order to streamline end-to-end technology associated with the DER deployment. 2. Partnering with grid operators and utilities to establish clear protocols for connecting and disconnecting the microgrid from utility service. 3. Creating clear requirements for their project team or systems integrator to specify how the microgrid components comply with sub-second requirements associated with each discrete use case of energy storage and DER. 4. Ensuring all key stakeholders in the energy value chain understand the algorithms used to forecast and balance the system inside the microgrid environment including all generation sources, DR technology, and load requirements. 11 5. Clearly stratifying, documenting and executing a comprehensive plan of how the grid-tied microgrid enhances reliability of energy services inside the microgrid. Standard metrics such as CAIFI and SAIFI should be used to measure performance on an ongoing basis. 6. Quantifying and validating the approach to power factor correction associated with the DER deployment. This analysis should include addressing any penalties incurred by the utility or distribution system operator. Conclusion The complexity of the electric grid and distribution networks will increase significantly as microgrids, renewable energy, and DER is propagated throughout the system, raising economic and operational challenges. Microgrid and renewables deployments which add energy storage via an integrated flywheel and battery solution can address both these challenges, delivering solutions which are both technically and financially feasible. About Active Power Active Power (NASDAQ: ACPW) designs and manufactures flywheel uninterruptible power supply (UPS) systems, modular infrastructure solutions (MIS), and energy storage products for mission critical and renewable applications worldwide. For more information, visit www. activepower.com. To offer feedback and comments on the content of this white paper, please visit www.activepower.com/ask-an-expert. 12