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* Manage energy consumption, rather than accept it as a fixed cost
The ultimate goal is to reduce energy costs through improved [[efficient energy use|energy efficiency]] and energy management control. Other benefits generally include increased [[resource efficiency]], improved [[production, costs, and pricing|production]] budgeting and reduction of [[greenhouse gas emissions|greenhouse gas (GHG) emissions]].
==History==
====Monitoring====
Monitoring [[information]] of energy use, in order to establish a basis for energy management and explain [[deviation (statistics)|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, costs, and pricing|production]], weather, etc.)<ref>{{cite web|url=http://www.foodengineeringmag.com/articles/90655-energy-management-crunching-the-numbers|title=Energy management: crunching the numbers|last=Labs|first=Wayne|date=13 May 2013|publisher=Food Engineering Magazine|accessdate=16 May 2013}}</ref>
====Reporting====
====Measure====
The first step is to compile the data from the different meters. Low-cost energy feedback displays have become available. The frequency at which the data is compiled varies according to the desired reporting interval, but can go once every 30 seconds to once every 15 minutes. Some measurements can be taken directly from the meters, others must be calculated. These different measurements are often called streams or channels.
Measuring scopes can be differentiated based on the building consumption patterns. As some buildings use technology that can significantly influence their energy usage, it is important to consider these patterns when setting up monitoring systems. For instance, refrigeration units often have specific cooling periods throughout the day, while production technologies may operate in cycles, leading to fluctuating energy demands. These variations necessitate a tailored approach to energy monitoring, ensuring that data collection aligns with the operational characteristics of each building type. By accurately capturing these patterns, more effective energy management and optimization strategies can be developed.
For example, buildings with extensive refrigeration needs, such as supermarkets or food storage facilities, exhibit distinct energy usage patterns, with peaks during periods of high cooling demand. Similarly, manufacturing plants often have cyclic energy usage corresponding to production schedules, which can vary significantly from one type of production to another. Understanding these unique consumption patterns is crucial for implementing effective energy monitoring and targeting strategies.<ref>{{Citation |last=Sarbu |first=Ioan |title=Efficient Refrigeration and Air-Conditioning Systems |date=2021 |work=Advances in Building Services Engineering: Studies, Researches and Applications |pages=209–327 |editor-last=Sarbu |editor-first=Ioan |url=https://doi.org/10.1007/978-3-030-64781-0_4 |access-date=2024-06-27 |place=Cham |publisher=Springer International Publishing |language=en |doi=10.1007/978-3-030-64781-0_4 |isbn=978-3-030-64781-0}}</ref><ref>{{Cite web |title=Real-Time Energy Monitoring {{!}} Energy Management {{!}} Enmon |url=https://www.enmon.tech/features/real-time-monitoring |access-date=2024-06-27 |website=www.enmon.tech |language=en}}</ref>
Driving factors such as production or [[degree day]]s also constitute streams and must be collected at intervals to match.
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