Technology Market Filtering
Any energy related product, technology or service has a market that it fits. Very often examination of energy data such as that gathered by automatic meter reading, in conjunction with meta-data can validate a proposed solution for a particular application.
For example Combined Heat & Power (Co-gen) solutions often help where a large base heat load is present. Often they are mis-sold, sizing is important, and an objective evaluation can be important.
for the end-user
An independent third-party evaluation of the suitability of a solution to your portfolio of buildings can assist in setting priority and avoiding expensive capital or contractual mistakes,
for the intermediary
Where a utility, EPC, data aggregator or consultant has legitimate access to end client data, opportunity search can automatically highlight sales-leads for whom technologies will be genuinely beneficial. This can lead to cross-sales and up-sales and enhance relationships because it builds on trust. A simple example might be the recommendation of correct replacement chiller sizing/capacity based on historic response to weather load.
Non-Exceptional Waste Identification
The IPCC and WCSBD together calculate that 29% of building energy use is wasted. This amounts to 12% of all the energy used by humankind.
It is notable that this corresponds to "normal" waste levels. Therefore "exception - reporting tools" commonly sold as a panacea for identifying energy waste miss the major opportunities.
for the end-user
Sometimes things are not as they should be. Often they have never been as they should be. Exceptions reports overlook steady state waste. The problem usually exists in a mismatch between intent and action. Since these "mismatches" have standard "fingerprints" in energy data they can be detected - kWIQly can highlight energy waste from base levels of usage. In short we can identify systematic error - at costs far lower than expert surveys will allow.
for the intermediary
Providing a "heads-up" on unquestionable, insightful and actionable problems for your clients has value. It may be directly monetized, or it may build on a client relationship. The choice of business model is yours, but all parties can be offered wins.
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Operational Problem Identification
We all make mistakes. A visiting plant maintenance technician may over-ride a control system to work on a running boiler, and forget to reset it. A pub landlord my boost a thermostat a little and forget to reset it. A hotel may cancel a conference facility booking and not disable scheduled building services.
for the end-user
A low cost, simple and do-able text message, email, or a simple .pdf report may be all that is required for instant, zero cost of implementation savings. payback time zero, return on investment infinite. It is the stuff that makes the most sense of all.
for the intermediary
Tracking this requires an ability to identify operational problems from raw data (and it is not always obvious). By encoding our domain expertise into pattern recognition modules, you can pass on pertinent, valuable information to your clients when it is most needed. You can become a critical partner in their operation rather than an expensive utility.
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A model - (eg given this weather load, I expect this energy use) is an important concept because it amounts to a budget, a plan or a forecast. But it varies, by time of day, level of activity, weather condition and so on. This means planning is a bureaucratic nightmare that generally doesn't happen. Without this bureaucracy, there is no "could have", "should have" but only "would have" (had I known better). Far more - planning to realise savings becomes an aspirational nonsense - rather than an achievable goal.
for the end-user
Performance models have "most likely outcome" (based on historical performance), "best performance to date" (achievable empiric precedent), "most achievable improvement" (based on pattern recognition and consistency) and more. It is these models that enable management. Without them management is a fantasy, but to produce them is prohibitively time-consuming. The dilemma is clear and the solution obvious - automation.
for the intermediary
Models can be built at scale; given the right technology stack, tools to gather meta-data and knowledge of client operations - Without these they cannot be built. Easing your clients burden by helping them realise a step change in their capacity to deliver and justify energy spend has one key effect - You are a valued partner. We can help you deliver these from within business models which a reasonable client "cannot refuse". Providing an offer that your client cannot refuse is well - "compelling" to say the least !
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All good things come to an end. The end that the energy manager holds in sight is sustained performance improvement. It is largely a moving target, as companies grow and operations change, but is increasingly important to be able to demonstrate success (and quantify failure). Judgements need to be unbiased, objective and reproduce-able. What matters is transparency of the methodology, accessibility of data and clarity of presentation.
for the end-user
Clients, and their staff need to be able to show performance, to motivate, to compare and to benchmark.
for the intermediary
With transparent underlying mechanisms, findings can be presented in numerous formats and contexts, but they should be consistent, agree and be accompanied by indisputable audit trails. With these rewards for value can be quantified and equitable. This is the relationship a supplier wants with their clients.
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