Dive into Sanalife’s comprehensive glossary covering essential terminology across energy infrastructure, building IoT, demand response, and indoor air quality. Whether managing a single facility or a property portfolio, this resource helps you navigate the evolving landscape of sustainability and smart building performance.
A benchmark standard by ASHRAE that outlines energy efficiency requirements for commercial buildings, often used in M&V protocols and compliance programs.
A technology-driven approach that automatically adjusts building energy loads in response to grid signals to reduce demand during peak periods.
Software-driven strategies that continuously adjust equipment schedules and control systems to minimize energy waste without compromising performance.
A category of software designed to manage and optimize building automation software functions.
A centralized system that controls and monitors a building‚ HVAC, lighting, and other mechanical and electrical systems for efficiency and performance.
A building-integrated solution that monitors and reports energy consumption at system and equipment levels to support operational improvements.
An integrated platform designed to enhance the operational efficiency of building systems through intelligent energy use and automation.
An integrated and centralized platform designed to enhance the operational efficiency of building systems through intelligent energy use and automation.
Makes capital and operational decisions regarding building investments, upgrades, and technology adoption.
Regulatory policies that require buildings to meet specific energy efficiency or emissions performance targets over time.
Designs and implements building automation systems and ensures interoperability between hardware and software.
A fee on a utility bill based on the highest rate of energy consumption (kW) during a billing period, separate from total usage charges.
The ability of a building to shift or reduce its electricity usage in response to price signals or grid needs, often using automation.
A category of software designed to manage and optimize demand management software functions.
A load management strategy that adjusts or reduces power consumption during peak demand events to lower costs and support grid stability.
A real-time digital representation of a building's physical systems used to simulate, monitor, and optimize building performance and energy efficiency.
Real-time data processing performed at or near the data source to reduce latency and improve control in smart buildings.
A computing model that processes data closer to the source, enabling real-time decision-making for building automation and energy optimization.
A coefficient that estimates the emissions generated per unit of energy used, often used in carbon tracking and benchmarking.
The use of data analysis tools and algorithms to identify trends, anomalies, and optimization opportunities in energy consumption.
A software platform that integrates energy management functions with facility operations to improve efficiency, compliance, and sustainability.
A visual interface that displays real-time and historical energy data, KPIs, and system performance metrics for decision-making.
A strategy for monitoring, controlling, and reducing energy usage during high-demand periods to lower utility costs and support grid stability.
The total electrical power demand of a building or device at a given time, influenced by equipment usage and operational schedules.
A software solution that enables organizations to track, analyze, and reduce energy consumption and costs across facilities.
An integrated system designed to monitor, control, and optimize the energy consumption of buildings and facilities in real time.
Focuses on monitoring and reducing energy consumption, improving building performance, and ensuring compliance with energy regulations.
A process that combines detailed energy monitoring with performance benchmarks to identify efficiency opportunities and track improvements.
A category of software designed to manage and optimize energy monitoring software functions.
A system designed to continuously track and record energy consumption data across building systems and equipment.
A category of software designed to manage and optimize energy optimization functions, including predictive analytics and control strategies.
A system that forecasts energy demand using historical data and machine learning to optimize building load profiles in real-time.
A coordinated approach to managing distributed energy resources, loads, and storage systems to optimize grid interaction and cost savings.
The capture of energy produced for use at a later time, typically using batteries or thermal systems to support grid interaction or load shifting.
The disclosure of environmental, social, and governance performance metrics, often including energy usage and carbon reduction initiatives.
Responsible for the day-to-day operations, maintenance, and efficiency of building systems.
The point where buildings, distributed energy systems, and the electric grid interact, enabling real-time coordination and optimization.
The condition of the air inside buildings as it relates to the health, comfort, and performance of occupants, measured through levels of pollutants, temperature, and humidity.
A category of software designed to manage and optimize indoor air quality monitoring functions.
Technology systems equipped with sensors and software used to continuously monitor, report, and analyze indoor environmental parameters affecting air quality.
An air quality monitoring solution that uses internet-connected sensors to collect real-time IAQ data and transmit it to cloud-based platforms for analysis and reporting.
The process of planning, measuring, collecting, and analyzing data to verify energy savings achieved through building performance improvements.
A systematic approach to quantifying the energy savings resulting from utility-led energy management initiatives and demand-side programs.
The application of M&V methods to track and verify energy savings achieved through efficiency upgrades in large-scale industrial operations.
A documented process that defines how energy savings will be measured and reported over time for energy conservation projects.
A functionality that provides real-time insights into energy usage and operational trends across multiple facilities in a property portfolio.
The process of improving building performance by minimizing energy waste and implementing intelligent control strategies.
Guidelines and standards issued by the Occupational Safety and Health Administration (OSHA) to ensure safe and healthy indoor air conditions in workplaces.
A category of software designed to manage and optimize portfolio energy analytics functions.
Smart building system controls that use machine learning to anticipate energy loads and automate optimal performance settings.
A strategy that uses sensor data and analytics to anticipate equipment failures and schedule maintenance proactively, improving efficiency and uptime.
A category of software designed to centralize oversight, reporting, and energy performance optimization across multi-building portfolios.
A capability of energy systems that allows users to view live energy usage data and respond immediately to fluctuations or inefficiencies.
An improvement or modification made to an existing building to enhance energy efficiency, IAQ, or operational performance.
A long-term approach to improving energy performance through planning, continuous monitoring, and operational changes across a portfolio.
The practice of installing additional meters to monitor energy consumption by specific systems, tenants, or equipment within a building.
Adherence to energy efficiency, emissions, or sustainability standards required by local, state, or federal regulations.
Leads ESG initiatives and ensures the organization meets its environmental, social, and governance goals.
A sequence of data points collected at successive intervals, used to analyze trends in energy usage, system behavior, and performance.
The process of adjusting energy data to account for weather variations, making performance comparisons more consistent.
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