Avista Utilities is a U.S. energy company. Avista generates and transmits electricity and distributes natural gas, while providing energy solutions for residential, commercial, and industrial customers. Approximately 1,550 employees provides electricity, natural gas, and other energy services to 359,000 electric and 320,000 natural gas customers in three western states. The service territory covers 30,000 square miles in eastern Washington, northern Idaho, and parts of southern and eastern Oregon, with a population of 1.5 million.Avista Utilities is the regulated business unit of Avista Corp., an investor-owned corporation headquartered in Spokane, Washington. Avista Corp.'s primary, non-utility subsidiary was Ecova, an energy and sustainability management company with over 700 expense management customers, representing more than 600,000 sites. In 2014 Ecova was sold to Cofely, a subsidiary of GDF Suez.The company was founded in 1889 as Washington Water Power Company, until 1998 when the board of directors approved a name change to Avista Utilities. At that time, the company also bought naming rights for Spokane's minor league baseball park, Avista Stadium. Wikipedia.
Avista | Date: 2011-01-26
A non-linear power equation may be solved in linear form by locking a variable or variables and iteratively solving to provide a Web service for accurately and quickly estimating optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.
Avista | Date: 2011-01-26
A non-linear power equation may be solved in linear form by locking one or more variables and iteratively solving to accurately and quickly estimate optimized power solutions for hydroelectric power stations. Additionally, these iterative calculations may provide for long term water resource planning and more accurate estimation models. Further, such optimized power solutions may be usable to create accurate and timely water management models for the operation and planning of hydroelectric power stations.
Avista | Date: 2011-02-08
Techniques and systems are described that assist in predicting, diagnosing, and/or managing an incident in a utility service area. A communication system is provided in the service area to communicate with nodes of the service area. In some instances, the communication system is configured to communicate with nodes of the service area according to a hierarchy of the nodes and/or a physical location of the nodes.
Avista | Date: 2015-09-01
Liquid fuels are routinely used to provide energy for many different uses. Transferring and distributing liquid fuels have many challenges including providing safe and reliable transfers and distributions. Liquid fuels, for example, Liquid Natural Gas (LNG) may be transferred from a vessel at a relatively low flow rate. This system allows for leaks to be captured and contained to an area of a water based transfer platform rather than allowing the spill to spread out on the surface of the water.
The Electricity Infrastructure Operations Center at Pacific Northwest National Laboratory will host the web portal and repository for realistic grid data developed under a new ARPA-E program. Credit: Pacific Northwest National Laboratory Say you have a great new theory or technology to improve the nation's energy backbone—the electric grid. Wouldn't it be great to test it against a model complete with details that would tell you how your ideas would work? But it's a challenge, because existing sets of data are too small or outdated; and you don't have access to real data from the grid because of security and privacy issues. To overcome this issue, the Department of Energy's Pacific Northwest National Laboratory is helping to create open-access power grid datasets for researchers and industry. DOE's Advanced Research Projects Agency—Energy has awarded PNNL $3 million for two projects in a new program—Generating Realistic Information for the Development of Distribution and Transmission Algorithms or GRID DATA. In one project, PNNL will develop a sustainable data evolution technology or SDET. First, researchers will gather features and metrics from many private datasets provided by the laboratory's industry partners. The team includes the National Rural Electric Cooperative Association, GE Grid Solutions (formerly Alstom Grid), PJM Interconnection—an eastern regional transmission organization, the California Independent System Operator and Avista, a western utility. Datasets essentially describe the physical power grid and the transactions that occur on it. Data points can include how long it takes to ramp up a power plant, the resistance to flow on a power line, maximum power a certain plant can generate, connectivity—how electricity moves from point to point, the configuration of the grid at any given point, and much more. The combination of these elements is vast and they all determine the performance of the grid, which has been made more complex with the relatively recent addition of factors such as renewables and intelligent devices. So, researchers are seeking new methods to make it operate reliably for the least amount of expense to owners, operators and ratepayers. "Creating algorithms to optimize the grid essentially comes down to a challenging mathematical problem," said Henry Huang, an engineer at PNNL. "It's like the old saying 'garbage in, garbage out.' We need to get the right numbers—realistic numbers—into the algorithms needed for modeling so that utilities and grid operators feel confident in adopting new technologies being developed to modernize the grid." PNNL, together with partners, will develop data creation tools and use them to generate large-scale, open-access, realistic datasets. Finally, they will validate the datasets that are created using industry tools provided by GE Grid Solutions. The data creation tools as well as the datasets will be made available through a data repository, which also will be created by the second PNNL project awarded by ARPA-E. PNNL will partner with the National Rural Electric Cooperative Association to build a power system model repository, which will host the open-access power grid models and datasets. This Data Repository for Power System Open Models With Evolving Resources, or DR POWER, approach will review, annotate, and verify submitted datasets while establishing a repository and a web portal to distribute open-access models and scenarios. It will include the ability to collaboratively build, refine, and review a range of large-scale realistic power system models. It will also include datasets created by other GRID DATA projects. For researchers, this represents a significant improvement over current small-scale, static models that do not properly represent the challenging environments encountered by present and future power grids. The repository and the web portal will be hosted and maintained in PNNL's Electricity Infrastructure Operations Center.