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Monitoring information of energy use, in order to establish a basis for energy management and explain deviations from an established pattern. Its primary goal is to maintain said pattern, by providing all the necessary data on energy consumption, as well as certain driving factors, as identified during preliminary investigation (production, weather, etc.) [2]
Strategic energy management (SEM) is a set of processes for business energy management. [1] SEM is often deployed via programs that target the businesses or other organizations within a utility territory or a government area. [2] SEM is codified in the ISO 50001 standard for energy management systems. [3]
As of March 2010 more than 550 ESPC projects worth $3.6 billion were awarded to 25 Federal Agencies and organizations in 49 states and the District of Columbia (D.C.). .). These projects saved an estimated 30.2 trillion BTU annually, equivalent to the energy consumed by 318,300, and $11 billion in energy costs, $9.6 billion goes to fund energy efficiency projects and $1.4 billion is reduced ...
Pinch analysis is a methodology for minimising energy consumption of chemical processes by calculating thermodynamically feasible energy targets (or minimum energy consumption) and achieving them by optimising heat recovery systems, energy supply methods and process operating conditions.
Attestation for constrained smart meters faces a slightly different challenge, however. One of the biggest issues with attestation for constrained smart meters is that in order to prevent energy theft, and similar attacks, cyber security providers have to make sure that the devices' software is authentic.
Smart home technology can advise users on energy-saving strategies according to their behavior, encouraging behavioral change that leads to energy conservation. [1] This guidance includes reminders to turn off lights, leakage sensors to prevent plumbing issues, running appliances on off-peak hours, and smart sensors that save energy.
EPRI (2005) Advanced Control Room Energy Management System: Requirements and Implementation Guidance. Palo Alto, CA. EPRI report 1010076. EEMUA 191 Alarm Systems – A Guide to Design, Management and Procurement (1999) ISBN 0-85931-076-0; ASM Consortium (2009) – Effective Alarm Management Practices ISBN 978-1-4421-8425-1
Downside risk (DR) is measured by target semi-deviation (the square root of target semivariance) and is termed downside deviation. It is expressed in percentages and therefore allows for rankings in the same way as standard deviation. An intuitive way to view downside risk is the annualized standard deviation of returns below the target.