An ADMS is the decision support environment that provides a shared network model (a digital twin of an electric distribution network) and a common user experience for all roles that are needed to monitor, control and orchestrate assets across the grid while optimizing and securing operations of the grid. The ADMS assists electricity distribution system operators to proactively and safely guide outage restoration activities, manage and optimize networks for improved asset utilization, and effectively manage the integration and impact of distributed energy resources (DERs). ADMS functions include: Distribution state estimation (DSE) Fault location, isolation and restoration (FLISR) Volt/volt-ampere reactive optimization (VVO) Outage management Conservation through voltage reduction (CVR) Peak-demand management Integration of distributed energy resources
A digital twin is a virtual representation of a real entity that can be a physical object, a process, an organization or a person. It relies on sensors or other monitoring technologies to collect the state of an object to build a digital representation. It adds value by testing changes to the twin before implementing them on their real-world counterpart. Finance can use digital twins to represent business processes and assess the impact of changes before implementing them. Financial institutions, analysts, and decision-makers can leverage AI and ML to enhance predictive capabilities, allowing for the accurate forecasting of outcomes. This technology enables the simulation of diverse financial scenarios, providing deep insights while ensuring that the actual financial system remains unaffected.
Enterprise GHG (Greenhouse Gas) management software is designed to help organizations accurately calculate, track, and report their greenhouse gas emissions. This type of software integrates various data sources and emissions data to provide a comprehensive view of an organization’s carbon footprint, covering Scope 1, 2, and 3 emissions. It has the capability to report on all greenhouse gases including carbon dioxide, methane, and other gases. The software facilitates efficient data collection and analysis of carbon emissions, making it an essential tool for Sustainability Managers, Environmental Compliance Officers, and Corporate Social Responsibility (CSR) Professionals. Additionally, it allows customization of emissions factors to suit specific organizational needs. This software supports Environmental, Social, and Governance (ESG) initiatives by providing detailed emissions data and reporting capabilities
Geospatial technology refers to a set of technologies used to acquire, manipulate and store geographic information. The geospatial information system (GIS) software market in energy and utilities is defined by buyers looking for software and applications to manage and optimize geotagged data for spatial analysis, hydrologic and water quality analysis, network models, pipeline and field planning, design, construction, and operations. GIS can support real-time design and modeling; visualize electrical, gas, and/or water and pipeline network topology; model geological and surface feature relationships; and depict the relationship between assets and the environment including network/grid, facilities, land, vehicles, equipment, employees, customers and surrounding elements.
Lifecycle Cost Management Software is a specialized tool designed to assist organizations in managing the total cost of ownership of their assets throughout their entire lifecycle. This type of solution is crucial for financial analysts, cost engineers and businesses that rely heavily on physical assets, such as manufacturing plants, infrastructure, or large equipment, as it helps them plan, analyze, and optimize costs from acquisition through operation and maintenance to eventual disposal. It often includes features such as performing cost analysis to forecast future expenses, generating insights into asset performance and lifecycle trends, as well as allowing users to model different scenarios and simulate outcomes. This holistic approach allows organizations to make informed decisions about asset management, ensuring that they maximize value while minimizing costs.