Look-ahead Dynamic Simulation
Look-ahead dynamic simulation software system incorporates the high performance parallel computing technologies, significantly reduces the solution time for each transient simulation case, and brings the dynamic simulation analysis into on-line applications to enable more transparency for better reliability and asset utilization. It takes the snapshot of the current power grid status, functions in parallel computing the system dynamic simulation, and outputs the transient response of the power system in real time.
Controller for Hybrid Energy Storage
A controller is disclosed for hybrid systems providing power to an electrical power grid. The controller reduces wear on hybrid systems by having only a fast unit tuned to track fluctuations of a regulation signal in a normal mode of operation. By contrast, the slow unit does not track fluctuations in the regulation signal in the normal mode of operation, which reduces wear on the slow unit. The normal mode of operation is defined by an energy range of the fast unit. Energy band parameters associated with the energy range can be dynamically modified in order to optimize the efficiency of the hybrid system.
ACS Fall 2023
The annual fall meeting for the American Chemical Society brings together thousands of chemistry professionals to share ideas and advance scientific and technical knowledge.
A Crop Yield Change Emulator for Use in GCAM and Similar Models: Persephone v1.0
Research software aims to formulate an accurate way to explore feedbacks among socioeconomics, Earth system changes, and crop yield changes
Federation of UML models for cyber physical use cases - OPEN SOURCE
The project developed a novel method to improve electric power system monitoring and control software application interoperability. This method employs the concept of federation, which is defined as the use of existing models that represent aspects of a system in specific domains (such as physical and cyber security domains) and building interfaces to link all of domain models. Federation seeks to build on existing bodies of work. Some examples include the Common Information Models (CIM) maintained by the International Electrotechnical Commission Technical Committee 57 (IEC TC 57) for the electric power industry. Another relevant model is the CIM maintained by the Distributed Management Task Force (DMTF); this CIM defines a representation of the managed elements in an Information Technology (IT) environment. The power system is an example of a cyber-physical system, where the cyber systems, consisting of computing infrastructure such as networks and devices, play a critical role in the operation of the underlying physical electricity delivery system. Measurements from remote field devices are relayed to control centers through computer networks, and the data is processed to determine suitable control actions. Control decisions are then relayed back to field devices. It has been observed that threat actors may be able to successfully compromise this cyber layer in order to impact power system operation. Therefore, future control center applications must be wary of potentially compromised measurements coming from field devices. In order to ensure the integrity of the field measurements, these applications could make use of compromise indicators from alternate sources of information such as cyber security. Thus, modern control applications may require access to data from sources that are not defined in the local information model. In such cases, software application interfaces will require integration of data objects from cross-domain data models. When incorporating or federating different domains, it is important to have subject matter experts work together, recognizing that not everyone has the same knowledge, responsibilities, focus, or skill set.
MSD-LIVE Ready to Go Live
MSD-LIVE, a cloud-based data and code management system, will be released in summer 2022 for hundreds of scientists.
PNNL Hosts Workshop on Ocean Climate Action Plan
PNNL convenes ocean leaders to tackle climate challenges and support the Ocean Climate Action Plan.
ADDITIVES FOR FLUORENONE/FLUORENOL BASED AQUEOUS REDOX FLOW BATTERIES (iEdison No. 0685901-21-0130)
In this invention disclose report, hydroxyl compound additives are disclosed as significantly improve the kinetics of the FL (fluorenone)-based aqueous redox flow battery (ARFB) (Selected examples of hydroxyl compounds and examples of molecular engineered FLs tested as illustrated in Supporting Figure 1). Application of FL derivatives in flow battery has been reported in nonaqueous systems and aqueous systems. Higher energy density and power density are always the pursuits during RFB redox-active material development. For a certain redox pair applied in RFB, capacity utilization usually decreases while current density increases due to the kinetics limit. It is of keen interest to maintaining battery discharge capacity at elevated current density, thus achieving long-time operation and high-power output at the same time. Here we disclose hydroxyl compound can serve as additives for FL-based ARFBs to significantly improve their rate capability and power output. To our best knowledge, this is a first-time demonstration of the utilization of additives to boost rate capability in RFBs. The development of this approach will have a revolutionary impact. In our examination, selected examples of molecular engineered FLs benefited from 0.1 M beta CD additive, demonstrating significant discharge capacity enhancement at higher current densities when comparing with a blank test. A case study using 27S4CFL extended the additive ranges to other hydroxyl-containing redox-inert compounds. Cyclic Voltammetry (CV) scans of these additives revealed no redox peak within the water window in alkaline conditions. Conductivity and viscosity both exhibited a negative effect on the battery performance while the overall current density was boosted by adding in these additives. An observation that is contrary to common understanding of those skilled in the field of energy storage and electrochemistry. The additive concentration effect was investigated using beta CD, the result showed a peak battery performance when 0.086 M beta CD was employed in the system. The long-term battery operation revealed a minimal effect on the battery cycling stability.