Site and Energy Asset Mapping
Site and Energy Asset Mapping
This chart illustrates how measured energy flexibility aligns with external buy signals. The grey bars are the total flexibility capacity available from a sample of all the connected 15 pilot buildings’ behind-the-meter energy assets. The blue line shows real-time imbalance ask prices, i.e., the offered market price for acquiring flexibility. The red line indicates the city’s sell threshold. Highlighted with brighter blue matching the black: The available flexibility ca be sold when prices exceed this threshold … and if the energy is not required locally for something else. The highlighted peak shows the point where available capacity is activated, turning flexibility into a market sell order.


1. Pilot phase of the 15 buildings based on 90 days of data
This first graph shows the real-time consumption and flexibility potential from the first 15 municipal buildings:
• Blue and green (MW): actual energy consumption.
• Green line: forecasted consumption.
• Purple line: flexibility capacity (can be up or down, but monetized flexibility is always positive).
• Consumption peaks reached 6 MW, with median consumption around 0.5 MW.
With the 15 buildings, there is a significant amount of flexibility that can be monetized.

The blue line represent the pricing of flexibility deals (€/MWh), while grey bars are the available flexibility at all properties managed by Riihimäki. It is decided that flexibility is profitable to sell when the pricing is over 100 €/MWh. The red rectangles show the profitable earning opportunities when the city can sell their available flexibility at the time by creating asks for those time slots.

The stacked bars are flexibility asks from different sellers, while the red bars are bid orders from one buyer. Sellers names were obfuscated with the exception of Riihimäki. The buyer is a single company.
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The person unknown would preferably have extensive experience in computing, or built environment, or the energy sector, but not from the traditional, legacy side. S/he brings strong business development and sales skills and has hopefully worked in early-stage companies focused on the built environment, automated energy assessment services, finance, or IoT. S/he has strong business skills and has been involved in business development across a wide range, from large corporations to early-stage startups. It’s a plus if s/he knows proptech, has experience in the energy sector, or understands the built environment from an automation perspective. But most importantly, s/he brings a proactive attitude to sales, is creative, and knows how to pitch complex ideas simply and engagingly, whether to a major player like EDF or a small real estate portfolio holder. S/he can learn complex stuff fast, demonstrates leadership skills, ie, knowledge of how to lead multi-lateral projects, works independently (including remotely), sales & sales & sales, and is fluent in cap tables, Excel, and making shit happen. In free time, the person unknown enjoys a good life, has meaningful values, friends, and family, and s/he aims to leave Earth wealthier and the planet itself better off than when s/he entered it. |
