The Power Chapter WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
Virtual: https://events.vtools.ieee.org/m/344404- No events scheduled for January 31, 2023.
IEEE North Jersey Section EXCOM – Meeting 6:30 PM
Bldg: Muscarelle Center M105, 1000 River Rd, Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/344304IEEE PES Schenectady Chapter Webinar (Virtual) on Open Access and Interoperable Modeling and Simulation Technologies for Power Systems (Thu., Feb. 02, 2023 at Noon)
Virtual: https://events.vtools.ieee.org/m/343695- No events scheduled for February 3, 2023.
- No events scheduled for February 4, 2023.
- No events scheduled for February 5, 2023.
Week of Events
The Power Chapter WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
The Power Chapter WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
Building demand flexibility (DF) research has recently gained attention. To unlock building DF as a predictable grid resource, we must establish a quantitative understanding of the resource size, performance variability, and predictability based on large empirical datasets. The electrical grid’s geographically diverse and changing nature presents challenges to comparing building DF performance measured under different conditions (i.e., benchmarking DF). To address this challenge, a novel DF benchmarking framework focused on load shedding and shifting is presented; the foundation is a set of simple, proven single-event metrics with attributes describing event conditions. These enable benchmarking and identifying trends that represent how these attributes influence DF. To test its feasibility and scalability, the DF framework was applied to two case studies of 11 office buildings and 121 big-box retail buildings with demand response participation data. These examples provided a pathway for using both building level benchmarking and aggregation to extract insights into building DF about magnitude, consistency, and influential factors. This webinar can draw more attention from energy audience to focus on the grid-interactive efficiency buildings and participate in the SBCS subcommittee and associated task forces. The presented work also provides cutting-edge research outcome for the community. Building demand flexibility (DF) research has recently gained attention. To unlock building DF as a predictable grid resource, we must establish a quantitative understanding of the resource size, performance variability, and predictability based on large empirical datasets. The electrical grid’s geographically diverse and changing nature presents challenges to comparing building DF performance measured under different conditions (i.e., benchmarking DF). To address this challenge, a novel DF benchmarking framework focused on load shedding and shifting is presented; the foundation is a set of simple, proven single-event metrics with attributes describing event conditions. These enable benchmarking and identifying trends that represent how these attributes influence DF. To test its feasibility and scalability, the DF framework was applied to two case studies of 11 office buildings and 121 big-box retail buildings with demand response participation data. These examples provided a pathway for using both building level benchmarking and aggregation to extract insights into building DF about magnitude, consistency, and influential factors. This webinar can draw more attention from energy audience to focus on the grid-interactive efficiency buildings and participate in the SBCS subcommittee and associated task forces. The presented work also provides cutting-edge research outcome for the community. Co-sponsored by: Richard Kolodziejczyk Speaker(s): Jingjing Liu, , P.E., CDCP, Virtual: https://events.vtools.ieee.org/m/344404
IEEE North Jersey Section EXCOM – Meeting 6:30 PM
IEEE North Jersey Section EXCOM – Meeting 6:30 PM
The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). Location: FDU Metropolitan Campus, 1000 River Rd. Muscarelle Center 105, Teaneck, NJ 07666 To join remotely by the following Zoom link: https://us02web.zoom.us/j/89067811667 Meeting ID: 890 6781 1667 Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Bldg: Muscarelle Center M105, 1000 River Rd, Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/344304
IEEE PES Schenectady Chapter Webinar (Virtual) on Open Access and Interoperable Modeling and Simulation Technologies for Power Systems (Thu., Feb. 02, 2023 at Noon)
IEEE PES Schenectady Chapter Webinar (Virtual) on Open Access and Interoperable Modeling and Simulation Technologies for Power Systems (Thu., Feb. 02, 2023 at Noon)
IEEE PES - Schenectady Chapter is excited to host a virtual webinar on the topic of "Open Access and Interoperable Modeling and Simulation Technologies for Power Systems". This technical presentation will also offer one (1) continuing education credits (PDH). The PES chapter would like to invite you to participate and learn from a well know power system modeling researcher and expert. Speaker: Prof. (Dr.) Luigi Vanfretti form RPI. Cost: - $10 for IEEE Members (Includes 1 PDH credit) - $15 for Non-IEEE Members (Includes 1 PDH credit) - Free for General Admission (No PDH credit) - Free for Student and Graduate Student Members (No PDH credit) (All payments must be received by February 01, 2023). Time: Thursday, February 02, 2023 at 12 PM, EDT Reserve your seat by clicking on the below Register Now Tab. "The event link will be shared on 1st February, 2023". Abstract: Modeling and simulation is essential for a myriad of power engineering functions, from planning power grid expansions, to real-time market operations. However, existing modeling and simulation technologies lack portability requiring reimplementation and creating ambiguity, while locking-in data and analysts to specific tools. The open access Modelica language offers a new paradigm, the ability to build object-oriented equation-based models, supported by multiple tools and advanced modeling constructs. This has the potential of drastically reducing modeling costs, especially those required to meet the rapid changes that power grids are undergoing to introduce more renewable energy sources. The seminar will introduce the Modelica language and the OpenIPSL.org library for power system dynamic modeling and simulation and the strategies adopted for modeling quality and to foster adoption which include: open source development, software-to-software verification using de facto industry tools, model maintenance and model transformation tools from proprietary model descriptions and data exchange standards, all enabled thanks to the Modelica language. In addition, the talk will describe some on-going research where the power of open-access standards enable us to quickly prototype solutions for evolving use-cases where modeling and simulation is needed thanks to the efforts in developing the OpenIPSL. Speaker(s): Luigi Vanfretti, Virtual: https://events.vtools.ieee.org/m/343695