Service charge following and examination is at the focal point of thorough energy the board practice. Solid energy the executives choices can be made dependent on investigation from a compelling service charge global positioning framework. From your service charges you can decide:
– regardless of whether you are sparing energy or expanding your utilization,
– which structures are utilizing an excessive amount of energy,
– regardless of whether your energy the executives endeavors are succeeding,
– regardless of whether there are utility charging or metering blunders, and
– when utilization or metering peculiarities happen (ie. at the point when utilization designs change)
Any energy the executives program is inadequate in the event that it doesn’t follow service bills. Similarly, any energy the executives program is delivered less powerful when its utility global positioning framework is hard to utilize or doesn’t yield important data. In either case, productive energy investment funds openings are lost.
Numerous useful energy administrators settle on the shrewd decision and put resources into service charge following programming, however then neglect to recoup their underlying interest in energy investment funds openings. How could this be?
This paper presents three basic and valuable methodology that can be performed with service charge following programming. Simply performing and following up on the initial two kinds of investigation will probably set aside you enough cash to take care of for your utility tab global positioning framework in the primary year. The three points are Benchmarking, Load Factor Analysis, and Weather Normalization as appeared in Table 1.
We should assume you were the new energy supervisor accountable for an arrangement of school structures for a locale. Because of an absence of assets, you can’t give your regard for all the schools simultaneously. You should choose a modest bunch of schools to redesign. To distinguish those schools most needing your consideration, one of the main things you may do is discover which schools were utilizing a lot of energy. A basic examination of Total Annual Utility Costs spent would recognize those structures that burn through the most on effort, yet not why.
Benchmarking Different Categories of Buildings
While benchmarking, it is additionally valuable to just think about comparable offices. For instance, on the off chance that you took a gander at a school area and thought about all structures by $/SQFT, you may find that the innovation habitats organization structures were at the head of the rundown, since organization structures and innovation focuses frequently have a greater number of PCs and are more energy serious than primary schools and preschools. These outcomes are normal and not really helpful. Consequently, it may be savvy to break your structures into classifications, and afterward benchmark only each class in turn.
You can benchmark your structures against one another (as we did in our model) or against openly accessible information bases of comparable structures in your general vicinity. Energy Star’s Portfolio Manager permits you to look at your structures against others in your area. Maybe those structures in your portfolios that looked the most inefficient are still in the top 50th percentile of all comparable structures in your general vicinity. This would be helpful to know.
Once in a while, the board concludes that their association needs to spare some discretionary rate (5%, 10%, and so on) on utility costs every year. Contingent on the objective, this can be very testing, if certainly feasible. Energy chiefs can utilize benchmarking to direct administration in defining reasonable energy the executives objectives. For instance, our school region energy supervisor may choose to make an objective that the three most energy devouring schools utilize just $0.80/SQFT. Since this is probably as much as the most minimal energy burning-through schools are presently utilizing, this could be an achievable objective.
On the off chance that you can discover a dataset, you may likewise have the option to benchmark your structures against a lot of comparative structures in your general vicinity and see the scope of opportunities for your structures. Regardless, benchmarking will center your energy the board endeavors and give practical objectives to what’s to come.
New energy directors regularly look for a “dependable guideline” to use for benchmarking. A model could be: “In the event that your structure utilizes more than $2/SQFT/Year then you have an issue.” Unfortunately, this won’t work. Various kinds of structures have distinctive energy forces. Also, unique structure areas will require contrasting measures of energy for warming and cooling. In San Francisco, where temperatures are reliably during the 60s, there is practically no cooling prerequisite for some, building types; though in Miami, structures will quite often require cooling. Distinctive structure types, with their trademark energy forces, diverse climate locales, and distinctive utility rates all consolidate to make it difficult to have general guidelines for benchmarking. Nonetheless, energy supervisors whose portfolios are largely close by, can build up their own general guidelines. These guidelines will in all probability not be adaptable to other energy chiefs in various areas, with various structure types, or utilizing diverse utility arrangements.
Benchmarking Buildings in Different Locations
There are a few entanglements related with benchmarking. Assume you were the energy chief of a chain store, and you had structures in various public areas. At that point benchmarking probably won’t be valuable in a similar sense. Would it be reasonable for contrast a San Diego store with a Chicago store, when it is consistently the correct temperature outside in San Diego, and in every case excessively hot or excessively cold in Chicago? The Chicago store will continually be warming or cooling, while the San Diego store probably won’t have many warming or cooling needs. Looking at $/SQFT may help choose which store areas are generally costly to work because of high utility rates and diverse warming and cooling needs.
Some energy investigators benchmark utilizing kBtu/SQFT to eliminate the impact of utility rates (supplanting $ with kBtu). Some will make it a stride further utilizing kBtu/SQFT/HDD to eliminate the impact of climate (including HDD), yet including HDD (or CDD) is certifiably not a reasonable estimation, as it expects that all utilization is related with warming. This estimation likewise doesn’t consider cooling (or warming) needs. Numerous mindful energy supervisors avoid benchmarking that includes CDD or HDD.
Distinctive Benchmarking Units
Another mainstream benchmarking strategy is to utilize kBtu/SQFT (every year), instead of $/SQFT (every year). By utilizing energy units instead of costs, “dependable guidelines” can be made that are not refuted with each rate increment. Moreover, the changing expenses of various utility rates doesn’t meddle with the correlation.
Benchmarking is a straightforward and advantageous practice that permits energy chiefs to rapidly survey the energy execution of their structures by essentially looking at them against one another utilizing a family member (and pertinent) measuring stick. Structures most needing energy the executives practice are effortlessly singled out. Sensible energy utilization targets are effortlessly decided for issue structures.
Burden FACTOR ANALYSIS
Whenever you have recognized which structures you need to make more productive, you can utilize Load Factor Analysis to think your energy the board center towards diminishing energy or decreasing interest.
What Load Factor is
Burden Factor is regularly determined by charging period, and is the proportion between normal interest and top (or metered) request. Normal interest is the normal hourly draw during the charging time frame.
What Load Factor Means
High Load Factors (more noteworthy than 0.75) speak to meters that have almost consistent burdens. Hardware is likely not killed around evening time and pinnacle use (comparative with off pinnacle use) is low.
Low Load Factors (under 0.25) have a place with meters that have high pinnacle power attracts comparative with the rest of the example. These meters could be related with chillers or electric warming hardware that is killed for a great part of the day. Low Load Factors can likewise be related with structures that shut off essentially all gear during non-running hours, for example, primary schools.
Burden Factors more noteworthy than 1 are hypothetically incomprehensible , however show up periodically on service bills. Secluded examples of high or low Load Factors are normally a pointer of metering blunders.
One school, Tyler MS, reliably has a much lower Load Factor than the others (drifting reliably around 20%). Low Load Factors can be attributed to either high top burdens or extremely low loads during different hours. For this situation, we can’t accuse the Load Factor issue for “peaky” cooling loads, as the issue exists throughout the year. A probably cause can be that Tyler MS is making a superior showing with stopping all lighting and other gear around evening time than different schools. One school (Jackson MS) regularly has higher Load Factors than different schools. One explanation might be that lighting, HVAC and other hardware is running longer hours than at Tyler MS.
A decent energy chief would examine what building operational conduct is adding to the low Load Factor esteems (and subsequently generally appeal) for Tyler MS, and would research whether the interest could be diminished. Asking about whether Jackson MS is killing hardware around evening time is additionally fitting.
Burden Factor Rules of Thumb
Burden Factor examination is a workmanship, not a science. Distinctive structure types (for example schools, workplaces, emergency clinics, and so on) will have diverse Load Factor ranges. Since emergency clinics run numerous zones 24 hours per day, one may expect higher Load Factors than for schools, which can kill practically everything around evening time. Likewise numerous things add to a specific structure’s Load Factor. A structure left on 24 hours daily can even now have a low Load Factor if there are enormous pinnacles every month – for instance, a 20 bed emergency clinic that has a planned MRI truck visit once every month. The MRI request is enormous, and can incredibly affect the Load Factor of a little office.
Like Benchmarking, you can decide your own dependable guidelines for your structure