Field Test Sweden (WP 2)

E.ON, Malmö City and Chalmers University of Technology are the Swedish partners who participate in the FISMEP project as one team for the demo-site Sweden. Within the international consortium, the Swedish team distinguishes itself with their focus on user-centred energy use and initiatives related to smart grids and energy optimization accessible for end-users. The Swedish project further developed a software platform that supports intEROperability to make smart grid technologies and services available also for end-users.

E.ON – Customer Energy and System Optimization (CESO)

ON uses a Customer Energy and System Optimization (CESO) system that uses the buildings natural thermal inertia to shift heat power demand. Heat demand is controlled during a short period of time, typically a few hours, without affecting the indoor climate and comfort. Indoor temperature is only allowed to change ±0,5°C.

The CESO system aims to reduce peak generation by approx. 5-10% of the district heating system’s nominal installed heat output, allowing to reduce 20% of the customers heating needs without decreasing the indoor temperature more then 0,5 . The purpose of this system is to be able to distribute heat to as many customers as possible in case of unavailability in the heat production.

CESO utilizes a building’s natural thermal inertia to shift heat power demand by controlling the heating (never affecting tap water or ventilation). Power demand is controlled during a short period of time, typically a few hours, without affecting the indoor climate and comfort. Indoor temperature is only allowed to change ±0,5°C, typically allowing e.g. 75 % power reduction for 2 h or 25 % power reduction for 6 h.

Mid-September 2019 there where 38 installed buildings, connected to power control within MKB AB (Malmö city-owned rental housing company) that could be used in the field-trial, of which 15 buildings were included in the study for data collection during November and December 2019.

The field trail also includes a new construction in Hyllie that is built by Roths Fastigheter AB. The tenants moved into the buildings on January 1st in 2020, and E.ON preformed test of the buildings (Dungen) during week 2 and 3 in 2020.

Chalmers – ERO App for Roth residential building

The ERO App provides tenants in the study with information about their electric, district heating and water consumption. Additionally, the ERO app shows how much of the power generation is generated from hydro, nuclear, wind and fossil sources.

Electric energy consumption is displayed in relation to the ERO-threshold (see blue bars on 3rd screen in figure 3), which is self-set-up by the tenant him/herself. The ERO-app enables the tenant to see his/her individual consumption in relation to the availability of the preferred energy sources. This indicates to the tenant when there is time to save energy and when it would be be more suitable to perform an energy intensive activity such as drying laundry.

Consumption is monitored at apartment level and broken down to specific home appliances/services. Appliances as fridge, dishwasher, washing machine, dry tumbler and floor heating in the bathroom/shower area can be monitored and controlled from the app to enable and stimulate users to save electrical energy in an encouraging and motivating way. Because of safety regulations, only the control of the floor heating is currently available to the tenants, the rest of appliances can only be monitored, see figure 9.

Further, district heating consumption for the entire building is displayed in the app. The tenants cannot control the district heating in any way yet, but the functionality has been prepared to enable uploading of individual user temperature preferences to give the heating providers consumer feedback in the future.

Finally, also hot- and cold-water consumption for each apartment are monitored and visualised in the ERO app. The water consumption is displayed in relation to the historic average to give a daily/weekly water budget to easily reveal extravagant deviations in consumption on a daily/weekly comparison level.