Sustainability Problem:
Citizens in the city have multiple energy consuming appliances which results in peak loads on grids which can be expensive, difficult to maintain and is unsustainable.
Technology Solution: eCoach, Twingz
Using IoT, the technology predicts consumer appliance load and shares it with the energy companies in the area. It also shares analysed data to the consumer itself, so that they are made aware of their energy needs.
Over time this prediction becomes increasingly accurate which helps the energy companies to plan out a needs assessment, it helps the consumers to understand how they can save costs by effectively using their appliances. All of the information is made available in real time over mobile apps.
This is done by attaching the IoT device to the electric meters of the house.
Stakeholders:
- Consumers
- Energy Companies
- Insurance companies
- Real estate companies
Usage:
- One way is that the start up company Twingz, will send their experts to install the IoT devices, and the app – at your home.
- Then they work with the local energy companies and sync their databases to share the data.
- Insights developed are shared via the app to change consumer behaviour
The company Twingz is based out of Austria and has recently received Early stage funding and accelerator support from the StartUp Bootcamp in Amsterdam.
They have a variety of products that supplement this IoT technology.
Resources:
http://www.twingz.com/products/ecoach/
UNI – vk2384
makeasmartcity 
After reading about this amazing technology that makes our both home appliances and our consuming behavior smarter, first thing came into my mind is the “Nest” thermostats, which is a self-learning thermostats that optimize energy consumption and comfort. More and more smart appliances such as lighting and TV devices that have built-in wifi and smart controlling system has been introduced to the market. These smart devices could potentially be incorporated to the Smart Home energy consumption system through open-source data sharing, which gives the system more capacity to monitor or even control consumption pattern of these devices to achieve better energy efficiency and lower energy consumption.
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Thats a really great point. I’m certain the same can be applied to a variety of models and integrated under a Smart Home energy system. Curious to know if you’ve seen/heard of any interesting models that are more integrated in nature?
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