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| | Rail Propulsion Systems | Dave Cook | |
Small Business
|
Transportation
| Diesel locomotive emissions retrofits and battery conversions |
| CA |
| | MegaTorq Hydrogen Engines, Inc. | Frederick TE. Dykes | |
Small Business
|
Other Energy Technologies
| Make Planet Earth a Better Place
We invented the MegaTorq hydrogen-fueled rotary engine (Patent Pending) that will reduce anthropogenic CO2 more than any other single project.
Customers would like to purchase locomotive engines or automobiles that do not pollute but are less expensive than today’s average price.
Such automobiles will have MegaTorq Hydrogen Engines because:
MegaTorq Hydrogen Engines produce ZERO CO2
They are much less expensive to produce than fuel cells or hydrogen fueled reciprocating engines and will be used in automobiles and utilities worldwide.
They produce more power and more torque per pound of engine weight than the reciprocating engines or fuel cells and can do work engines must do.
They will cost much less to purchase; therefore, they will replace gasoline engines as the choice of automobile manufacturers worldwide as gasoline engines lose favor and are regarded as “Dirty Engines”.
We solved the five technical problems encountered by others who tried to develop rotary engines.
Over time, with widespread use of MegaTorq Hydrogen Engines, pollution caused by gasoline engines will be near zero. |
| FL |
| | TRID System | Ned M. Ahdoot | |
Individual
|
Power Generation and Energy Production: Liquid and Gaseous Fuels/Nuclear
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TEAMING PARTNER LIST REGISTRATION
Teaming Partner List: *
RFI-0000052: Announcement of Teaming Partner List for an upcoming Topic: LOwering CO2: Models to Optimize Train Infrastructure, Vehicles, and Energy Storage (LOCOMOTIVES)
Investigator Name: *
Ned M. Ahdoot
Organization Name: *
TRID System
Organization Type: *
Individual
Area of Expertise: *
Power Generation and Energy Production: Fossil/Nuclear
Background, Interest, and Capabilities:
(2500 character limit) *
I have invented Rotary Engine that I am looking for a university to develop a prototype even in partnership arrangement. Would you please advise me on this.
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I am a retired scientist of aerospace industry in southern California United States. I have invented a Spherical Rotary Turbo Engine/Pump. The engine in its basic concept and design, is a pump with high degree of displacement volume compared to the volume of the pump itself. I am sending this to you for the purpose of eventual licensing and manufacturing, essentially to find a partner.
The innovation described herein addresses the failures of the “Wankel” rotary engine. The elliptical shaped housing incorporated into this engine was once hailed as a revolutionary new design that would result in greater power and fuel economy. While this novel engine offered great promise in-concept, in practice it was inherently flawed.
The problem with its design was related to the fractional nature of the Pi (3.14….) in calculating the circumference of two gears interfacing with each other: fractional circumference-values on two gears, and a nonfractional number of groves on the two gears was the root of the problem. Two set of gears, with un-precise tolerances caused banging, and wear-and-tear on the tips of the triangular rotor and the edges of the elliptical housing.
The new Spherical Rotary Turbo Engine (Patent number: 9464566), with rotating central shaft and only two moving parts under the load, represents a paradigm-shifting approach that may drastically improve the efficiency of the combustion engine, resulting in fuel savings for consumers and emissions reductions benefiting society.
TRID Systems is a small business founded by a retired scientist |
| CA |
| | QDM Ltd. (Quantum Designed Material) | Dr. Rafi Gatt | |
Small Business
|
Other Energy Technologies
| BACKGROUND
Quantum Designed Materials (QDM) is an Israeli-US company founded in 2014 that develops superconductors, materials that carry electric current with no resistance. Our initial products require liquid-nitrogen cooling, while we are on roadmap to develop the world's first room temperature superconductors (RTS).
INTERESTS
The commercial applications for superconductive materials are widespread. Our interests of teaming up includes the following:
• Light-weight wires and cables for onboard power distribution, per the FOA in FRI-0000050: CONNECTING AVIATION BY LIGHTER ELECTRIC SYSTEMS (CABLES).
The first objective of this FOA is to "Identify appropriate wiring materials (i.e., conducting or superconducting) with optimum gravimetric power densities and minimum electrical losses". Our novel materials answer this quest in full.
We are interested in teaming up with wiring and cable makers, who can integrate our superconducting material as the core conductor in their wire.
• Quantum computing: the technology enabling superconducting qubits, equivalent in output to transistors, will be generated by QDM. We will enable the development of Rapid Single Flux Quantum (RSFQ) technology, where transistor gates are replaced by Superconducting Quantum Interference Devices (SQUIDs) - operating 10 times faster and with ~100,000 times lower power consumption compared to CMOS circuits.
• HTS (High Temperature Superconducting) cables for electric grids, first as an upgrade of the current 2nd generation HTS cables ("2G") – these are QDM's "3G THS Cables", then followed by room temperature high intensity cables.
• Motors and generators: research concludes that large HTS motors will have approximately half the losses of conventional induction motors in such applications.
• Fusion Reactors: current fusion reactors use high field magnets built from 2G HTS wires. Our 3rd generation tape would fit into the same installation, but with increased operating current, enabling to reduce the cooling costs dramatically. These improvements are key for the commercial realization of fusion reactors.
CAPABILITIES
Based on demonstrated POC capabilities achieved already, we expect to soon show an order of magnitude higher critical current density at 77K than existing 2nd generation materials. We have also measured results of critical temperatures significantly higher (150K) than the Tc of cables currently used today (77K), for production cables targeted at as low as $20/kAm. |
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| | Energetics | Raphael Isaac | |
Large Business
|
Transportation
| Energetics is very knowledgeable in the hydrogen space and also knowledgeable in the rail/locomotive space. (One employee wrote his dissertation on fuel alternatives in rail.) Our company also has many contacts interested in participating in a demo/deployment opportunity. We have done large amounts of data analysis and modeling, including for several government agencies, both state and Federal. |
| MD |
| | Watchung Transportation LLC | Rachel Liu | |
Small Business
|
Transportation
| Watchung Transportation (WT) LLC is a world-class professional group that offers intermodal transportation planning, engineering, and programming services. The firm provides technical expertise, local market knowledge and management capacity to its public and private sector clients and has earned a distinguished reputation for its technical and management capabilities.
WT is a certified D/W/M/SBE firm located in Westfield NJ. Its owner/principal, Dr. Liu is recognized as an expert in rail transportation, operation optimization for energy conservation. She has worked on transit operations, network simulation models, and passenger and freight rail interaction projects. |
| NJ |
| | Oregon State University | Prof. Yue Cao | |
Academic
|
Transportation
| • Prof. Yue Cao has extensive research experience for modeling, simulation, and control for electric and hybrid-electric transportation powertrains, including applications in heavy-duty trucks, off-road vehicles, more electric aircraft, EVs, UAVs. He particularly specializes in modeling of multi-physical energy storage, power electronics, electric machines, and integrated systems, to realize multi-timescale mission based simulations and optimization. Although not directly applied on a train/locomotive project before, the fundamental skillsets and developed tools are readily transferrable for this ARPA-E FOA.
• Prof. Cao received MS/PhD from UIUC (Urbana-Champaign) and BS from UT-Knoxville, all in electrical engineering with a Power and Energy concentration. He previously worked at Amazon Prime Air, Apple Special Projects, Halliburton, Oak Ridge National Lab. He has worked on sponsored research from Amazon, Rolls-Royce, Ingersoll Rand, Grainger, NSF, DOE. He has participated in multiple ARPA-E full proposals and also served as a review panelist with another DOE office. Prof. Cao is an Associate Editor for IEEE Transactions on Transportation Electrification and an organizing committee member for prestigious power conferences such as ECCE, ITEC, APEC, etc.
• Oregon State University offers geographical diversity in the Pacific Northwest. Prof. Cao co-directs WESRF Facilities that offer up to 750 kW DC and AC supplies, multiple storage physics, 300 HP dyno-motor sets, and connected complex machinery and stationary loads, capable of doing a variety of tests, for model validations. |
| OR |
| | Argonne National Laboratory | Michael Wang | |
Federally Funded Research and Development Center (FFRDC)
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Other Energy Technologies
| Argonne has been developing the GREET life-cycle analysis model for DOE programs to evaluate GHG reductions potentials of different propulsion systems with different energy sources including battery electric vehicles for light-, medium-, and heavy-duty vehicles. The GREET model also include a rail module to evaluate GHG impacts, among other energy and environmental attributes of different propulsion technologies and fuels for rail applications. Argonne has also developed modeling capabilities of EV recharging infrastructure build-up and costs associated with it. It developed models to estimate total costs of ownership (TCO) for different vehicle technologies and fuels by including vehicle hardware costs, infrastructure costs, and fuel and other operating costs. These modeling capabilities can be adapted to locomotive applications. In addition, Argonne has a long history of evaluating battery technology development and costs of new battery technologies with its BatPac model.
For details of existing Argonne models, please see www.greet.es.anl.gov for the GREET LCA model; https://afleet-web.es.anl.gov/home/ for total cost of ownership of alternative vehicle technologies; https://www.anl.gov/tcp/batpac-battery-manufacturing-cost-estimation for battery cost modeling.
Argonne is seeking partners in the locomotive industry with operation experiences of rail and locomotives and with deep understanding of rail operations in terms of locomotive operation efficiency, routing, operation costs, and future trends of the sector. These would include locomotive manufacturers and rail companies. Also, companies with business consulting experiences for the rail industry will also complement Argonne’s expertise and experiences. |
| IL |
| | Air Liquide | Aaron Harris | |
Large Business
|
Other Energy Technologies
| New propulsion systems development support and strong energy storage knowledge
- Hydrogen energy systems (supply of LH2 and GH2, vehicle or infrastructure storage, fuel cells, etc.)
- Methane energy systems (Biomethane from biogas, to CNG or LNG, etc.)
Charging/fueling infrastructure (support of auto/truck, rail, aviation)
- Fuel transfer technologies (transport, transfer to filling stations, rapid vehicle fueling, etc.)
- Logistics analysis (computational group)
Specializing in multiple decarbonization technologies
- Hydrogen economy
- Biomethane
- Gas separations (purification of gasses - CO2 removal) |
| TX |
| | Siemens Corporation, Corporate Technology | Keryl Cosenzo | |
Large Business
|
Other Energy Technologies
| Located in Princeton, New Jersey, the US headquarters of Siemens Corporate Technology is one of several world-class research and development centers within Siemens. Our hundreds of research scientists and software engineers provide innovative technical solutions to the global family of Siemens’ businesses. We also work closely with Siemens’ customers, government agencies, universities, and various other organizations to execute fundamental and applied research projects across all of Siemens’ core technology fields (e.g., factory automation, simulations and modeling, business analytics, cybersecurity, etc.).
Our areas of competence & expertise include:
- Real-time industrial control and autonomous systems
- Dynamic multi-agent coordination and optimization
- Machine learning, probabilistic reasoning, and reinforcement learning
- AI-based prognostics, predictive maintenance, and condition monitoring
- Physics-informed machine learning for prognostics and control
- Multi-physics simulations and simulation-driven design optimization
- Safe, resilient, cybersecure, and trustworthy control systems
- Distributed computation and integration
- Cloud solutions & IIoT
Through close collaboration with our business divisions in Siemens Energy, Digital Industries, Smart Infrastructure, and Mobility, we are able to develop novel technologies and solutions on top of Siemens’ broad portfolio of industry-standard tools for automation, control, simulation, etc., and identify suitable commercial pathways for scaling up and transitioning the technologies we develop for real-world deployment. |
| NJ |
| | University of Houston | Harish Sarma Krishnamoorthy | |
Academic
|
Transportation
| High density power conversion, medium frequency electronic transformers, improving and predicting the reliability of energy storage interface converters. |
| TX |
| | Southwest Research Institute | Steven G. Fritz | |
Non-Profit
|
Transportation
| SwRI's work with the railroad industry began in 1965 with the EMD silver lubricity lubricating oil qualification test program, which continues today. We have a long-standing association with the nation’s rail industry conducting a wide variety of lubricant, fuels and engine development related programs.
Emphasis in the 1980s was on operating locomotive engines using alternative fuels such as vegetable oils, natural gas, LPG, and even coal dust. The Gas Rail program in the 90s allowed SwRI and several industry partners to develop an EMD 12-710 to operate on either 100% diesel or 95% LNG. Operation on LNG resulted in a 75% reduction of NOX emissions while matching diesel engine performance.
With the introduction of emission control standards for locomotives, interest shifted to exhaust emissions testing, certification programs, and aftertreatment hardware development at the turn of the century. In addition to large engine test cells on SwRI's main campus, a locomotive emissions test center near downtown San Antonio was established to facilitate working with engines installed in locomotives. The facility was established in 1992 for the Association of American Railroads, and to date, more than 250 locomotives have been tested. Included in these tests have been projects for EPA, CARB, the California DOT (CaDOT), DOE, FRA, AAR, individual railroads and original equipment manufacturers.
Past locomotive engine projects include
Development of exhaust emissions test procedures
Baseline exhaust emissions studies
Effects of injection timing and aftercooling
Field testing of in-use locomotives
The California Air Resources Board (CARB) fuel effects study (2000) and renewable diesel study in locomotives (2020)
National Renewable Energy Laboratory (NREL) and FRA biodiesel studies
Developmental support to meet EPA Tier requirements
SwRI has supported the railroad industry since 2005 for the EPA-required end of useful life emissions test program, assessing all Tiers of locomotives as they are due for overhaul to make sure they are still in compliance.
SwRI expertise in locomotive engine design and analysis, performance, aftertreatment systems, and alternative fuels is helping the industry continue improvements in fuel efficiency and associated GHG reductions, while at the same time achieving significant reductions in regulated emissions. We leverage technology developed for on-highway and nonroad diesel engines into these large diesel engine. |
Website: www.swri.org
Email: sfritz@swri.org
Phone: 210-522-3645
Address: 9503 W. Commerce St., Building 138, San Antonio, TX, 78227-1301, United States
| TX |
| | BNSF Railway | MICHAEL CLEVELAND | |
Large Business
|
Transportation
| Michael holds a MS from Texas A&M University in mechanical engineering and a bachelors in physics from Austin College. He has worked in the rail industry since 2010 when he joined BNSF as a mechanical foreman at their Lincoln, NE diesel shop. Since then he has held a variety of roles related to shop management and emerging locomotive technologies. Currently, Michael is manages BNSF's electrification initiative where battery electric and hybrid electric equipment are reviewed and implemented across the organization. In this role, he has managed projects related to locomotives, cranes, trucks, forklifts, and wayside energy storage. One of the most notable projects in this initiative, is the joint development of a battery electric locomotive that will operate to form a hybrid electric consist with Wabtec. In his role, Michael serves as the SME for battery electric and hybrid equipment as well as the liaison between rail operations and the supporting staff. Previous to this role, Michael served as the locomotive technology expert on BNSF's Liquified Natural Gas program. In this role, he gained significant experience in the operation, development, and implementation of gaseous fueled locomotives and their supporting tenders. |
| TX |
| | Helix Power Corp | John Bourneuf | |
Small Business
|
Other Energy Technologies
| Helix Power is developing a 1 MW flywheel system for energy storage/power management. Helix is targeting markets with very challenging (extreme) storage requirements. These include high power (1 MW+), high cyclic (1 million), rapid charge & discharge (~90 seconds), continuous operation and low life cycle costs.
Rapid transit is the Helix launch market needing such requirements. Helix technology has the potential reduce energy consumption in metro rail by 35-50% through productive use of energy from regenerative braking systems already installed on metro trains today. All but 5-10% of regenerative braking energy cannot be put back into the 3rd rail and goes overboard instead into resistor banks (heat waste) on the roof of the cars. The Helix storage system can reduce peak power requirements by 500KW per MW installed. The Helix system is clean technology which will reduce GHG production 800 tons/ year per MW installed. For rapid transit, the Helix storage system provides annual energy savings of $200K per MW, as well as the ability to defer $700K - $1M in sub-station expansion per MW of storage.
Depending on the specifics of the system, the Helix storage system could provide similar benefits to heavy freight and passenger rail systems and rail yard systems.
The flywheel is uniquely capable of meeting the above requirements. The actively cooled, long life and continuous operation flywheel system and power electronics control system has a distinct edge against other storage technologies such as batteries, ultra-capacitors and other flywheels. Batteries are not a good fit for an environment requiring many rapid and deep charge and discharge cycles. Any existing flywheels such as Vycon do not scale well to the size needed without significant redesign and follow-up validation testing.
Helix Power is currently ordering hardware for prototype assembly and test mid-2021. Helix is currently funded by NYSERDA and DoE/Sandia National Labs, and has been working closely with the NYCT, MBTA, Con Edison, and Source One for substantiation of the technology and use case requirements / benefits. Helix has a 2nd contract with NYSERDA for a 2nd flywheel system which could well be the first commercial unit in early 2022. In addition, Helix has developed 5 manufacturing and engineering alliances for all core expertise.
Helix has an issued patent for the full flywheel system and three patents-pending for key system technologies. |
| MA |
| | Wi-Tronix, LLC | Michael Klabunde | |
Small Business
|
Transportation
| Wi-Tronix is the dominant provider of the IoT infrastructure for North American freight rail operators. We provide a comprehensive set of solutions that include: (a) on-board computers which gather and normalize data from all relevant on-board systems (now including both inward and outward facing video cameras); (b) communication systems to move that data to the cloud; and (c) cloud based infrastructure that stores the data and supports a wide variety of applications that utilize this information to improve the safety, reliability and efficiency of rail operations. We are a SaaS company, providing railroads a wide variety of tools and services to improve the efficiency, reliability and safety of rail operators. Artificial Intelligence, Machine Learning, and Video Analytics are all leveraged in our provided services.
As a locomotive OEM agnostic provider with a user base that includes many American freight rail operators, we hold (and can generally make available on an anonymized basis to researchers) over 15 years of comprehensive time-stamped and geolocated data from a wide variety of locomotives operating on virtually every track subdivision in the continent. In most cases we hold not only data which originated from onboard systems but also externally sourced data such as weather conditions, train consists, schedules etc. Researchers may be able to use this data to model the industry’s operations under a wide variety of scenarios.
Vehicle information typically recorded includes speeds, powers, temperatures, fuel levels, and the level of other data is dependent upon the specific locomotive models. Currently we have over 8,000 IoT platforms active on a wide range of locomotives. |
| IL |
| | PACIFICA | Bill Patz | |
Small Business
|
Transportation
| We are experienced integrators and assemblers of rail and transit technology with 20 years of working with both foreign and domestic team partners. We have a similar record installing and data logging heavy duty diesel emissions controls nationwide for a variety of customers to include Port Districts and fleets. |
| WA |
| | General Electric Company, GE Research | Gayathri Seenumani | |
Large Business
|
Transportation
| Background
a) Expertise in energy management systems for locomotives (diesel/electric/hybrid) and associated train automation.
b) Expertise and deep insight into the factors that affect minimum energy requirements and fuel consumption including train components, train operation as well as infrastructure – and mitigation strategies.
c) Expertise in optimizing rail car/train movement across the network (main line, yards, terminals) where there is significant interaction with other transportation modalities.
d) Originators of Wabtec’s Trip Optimizer™, Fuel-saving cruise control for trains that saves 10+ percent fuel.
e) Originators of Wabtec’s Movement Planner and Yard Planner products.
Teaming Interests
a) Teaming with an organization with transportation macro (network, economic, …) simulation/modeling capability.
b) Teaming with a railroad or AAR / TTCI.
Contribution Interests
a) Ensuring the modeling framework can answer open questions the industry will face if it is to decarbonize and optimization strategies for the same.
b) Leverage our significant experience in train control/automation/energy management from components to network.
c) Providing train minimum energy requirement models and key influencing factors (from components to infrastructure).
d) Provide right-sized component models for multiple motive sources for macro simulations (locomotives, network/yard/terminal operations, onboard and wayside energy storage).
Capabilities
a) Controls & Optimization Lab – 120 members (70% PhD’s) – Real-time optimization, Model based controls, Signal processing, Enterprise optimization, Business & Risk analytics.
b) Access to internal experts across different technologies (emissions, dual-fuel, combustion, thermal, controls, optimization, analytics, battery, fuel cell).
c) Simulation framework and detailed track and locomotive database (100 locomotive models, 120k+ miles, 900+ subdivisions globally).
d) Lithium ion battery lifing models and cell testing facilities. |
| NY |
| | Virginia Tech | Hesham A Rakha | |
Academic
|
Transportation
| The Center for Sustainable Mobility (CSM) (https://www.vtti.vt.edu/research/csm/index.php) at the Virginia Tech Transportation Institute (VTT) together with the Palo Alto Research Center (PARC) successfully completed the ARPA-E TransNET project. As part of that effort the team developed a multi-modal agent-based modeling framework to develop and test alternative energy-efficient traveler incentives. The modeling framework simulates traveling via car, bus, train, bicycle and walking. As part of this effort the RailSIM modeling tool was developed to simulate the longitudinal motion of trains and their associated energy consumption. Key publications of this effort include:
1. Wang J. and Rakha H. (2017), “Electric Train Energy Consumption Modeling,” Journal of Applied Energy, Vol. 193, pp. 346-355. https://doi.org/10.1016/j.apenergy.2017.02.058.
2. Wang J. and Rakha H.A. (2018), “Longitudinal Train Dynamics Model for a Rail Transit Simulation System,” Transportation Research Part C: Emerging Technologies. Vol. 86, pp. 111-123. https://doi.org/10.1016/j.trc.2017.10.011.
3. Wang J., Ghanem A., Rakha H.A., and Du J. (2020), “A Rail Transit Simulation System for Multi-modal Energy-efficient Routing Applications,” International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2020.1718809.
4. Elbery A., Bichiou Y., Rakha H.A., Du J., Dvorak F., and Klenk M. (2018), “City-level Agent-based Multi-modal Modeling of Transportation Networks: Model Development and Preliminary Testing,” in Smart Cities, Green Technologies, and Intelligent Transport Systems. https://doi.org/10.1007/978-3-030-26633-2_14.
5. Du J., Rakha H.A., Elbery A.*, and Klenk M. (2018), “Microscopic Simulation and Calibration of a Large-Scale Metropolitan Network: Issues and Proposed Solutions,” 97th Transportation Research Board Annual Meeting, Washington DC, January 7-11. [Paper # 18-02086].
CSM has also conducted research on the optimization of train operations, as demonstrated in:
1. Yue Y., Qi X., Han J., Zhou L. and Rakha H.A. (2017), "Integrated Modeling and Optimization of Train Scheduling and Shunting at Complex Railway Stations," 96th Transportation Research Board Annual Meeting, Washington DC, January 7-12. [Paper # 17-01821].
For more information please check out our publications on ResearchGate: https://www.researchgate.net/profile/Hesham_Rakha. We look forward to discussing teaming arrangements. |
| VA |
| | DB Engineering & Consulting | Andreas Hoffrichter, PhD | |
Large Business
|
Transportation
| Deutsche Bahn (DB) is the largest railway by revenue, globally. Our support would be led by the U.S. subsidiary DB Engineering & Consulting USA Inc., headquartered in Sacramento, CA. DB has extensive train performance and energy modelling experience for railway services and we operate all railway services, including freight, switching, intercity, very high speed, commuter, transit among others. DB already has an extensive railway performance simulator that can assess motive power technologies. We are interested in all aspects of this opportunity and can contribute with our expertise while expanding and applying knowledge to a North American context. In Germany, electric, diesel, battery, hydrogen, renewable fuel, bi-mode, and hybrid trains are in operation and we could contribute with experience and possibly data.
Our simulation tools have been applied to many railway projects international, including in Europe, Asia, Australia, South America, and are beginning to the utilized in North America. |
| CA |
| | ALKILINC ENERJI ANONIM SIRKETI | Tamer Alkilinc | |
Large Business
|
Power Generation: Renewable
| ALKILINC COMBINED ELECTRIC AND HEAT PLANT PROJECT
The engine works with Diesel and Natural Gas with a power of 4,000 kW.
It consumes 800 Kilo / hour diesel in the Diesel engine and 800 m3 / hour natural gas in the gas engine to run the generator of 4.000 kW. Steam is obtained from the exhaust waste heat from the engine and sent to the steam turbine to generate 2,000 kW of electricity and a total of 6,000 kW of electricity is produced.
Total productivity is on average 70%.
In addition, if the hot water system is included, a total efficiency of 94% is achieved by producing 7.200 Mj / h (2.000 kWh / h) hot water.
Depending on the demand, the plant can be installed at the desired power. |
| Energy technology specialist |
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