GOTHENBURG ENERGY. Workshop London

Transcription

1 GOTHENBURG ENERGY Workshop London

2 Gothenburg Energy In Numbers Number employees, average Result, MSEK Turnover, MSEK

3 District Heating - Key Notes DH Production Electricity Production Production Capacity = GWh/year = GWh/year = MW Connected DH Substations = ~ System Length = km Volume Water = m³ Height Difference = 280 m

4 District Heating Network Development 2014

5 Collaboration Energy Company (Kungälv) Collaboration Municipalilty (Ale) Due to a wide fuel mix there are many possibilities within the optimization process Wood chip Bio oil Oil Collaboration Municipality (Partille) Waste incineration Wood chip Industrial Waste heat Wood pellets Biogas Heat pumps Sewage Natural gas Oil Natural gas Wood chip GoBiGas Natural gas Oil Industrial Waste Heat Natural gas Oil Collaboration Energy Company (Mölndal)

6 History - Fuel mix of produced heat

7 WORKSHOP

8 WORKSHOP

9 Short-term Storage in Building - Using the building as energy storage

10 Build a large storage? WORKSHOP

11 Or use the buildings?

12 History 2005 Practice test, shut of heating for a few hours 2007 Testing time constants för different kind of houses 2008 Test of a black box measuring the flow on hot water 2009 Test program for the test of Short-term storage in buildings 2010 Testing and measurement for 1 year in 10 houses WORKSHOP

13 Heat production (MWh) / Outdoor temperature ( C) Heat production (MWh) / Outside temperature ( C) MW C WORKSHOP

14 Assignment Buildings as thermal energy storage How will the indoor climate be affected if we use a building as thermal energy storage? Continuous simulation of the outside temperature and measurements in building for 1 year 10 buildings Hisingen to central Gothenburg Lightweight to heavy buildings WORKSHOP

15 Testbuildings Wood and stone buildings~100 h Brick buildings ~350 h Stone house from year 1900 ~150 h Energy-efficient buildings ~200 h WORKSHOP

16 Pilot test Setup u u u + u T Outdoor temperature sensor Controller T Q Indoor temperature sensors District heating system Building heating system WORKSHOP Källa Johan Kensby

17 How do we simulate loading and discharge? WORKSHOP

18 How much does the room temperature change when loading and discharging? WORKSHOP

19 Variety of room temperature when energy storage has not been activated WORKSHOP

20 Preconditions to use Buildings as thermal energy storage No air heating systems. Separate heatexchangers / shunts for radiator- and heating system for ventilation. No big areas of windows WORKSHOP

21 Summary Short-term storage in buildings When the temperature changes of outdoor temperature (7 C or lower, for 9 hours), no major changes in the room temperature could be detected. WORKSHOP

22 Confirmation of the temperature deviations WORKSHOP

23 Cumulative yearly heat delivery [TWh] Large-Scale Implementation Part of total heat generation [%] Cumulative yearly heat deliveries in multifamily residential buildings Number of substations 10% 20% 30% Case Yearly heat delivery to utilized substations [GWh] Number of utilized substations Power limitation [MW] Storage capacity limitation [MWh] 0% (ref) % % % 1,279 1, WORKSHOP Källa Johan Kensby

24 Large-Scale Implementation - Simulation [MW] Heat Generation in Gothenburg April 2-8, HOB Gas HOB Bio Heat pumps CHP Gas CHP Bio Waste heat Mon Tue Wed Thu Fri Sat Sun WORKSHOP Källa Johan Kensby

25 Large-Scale Implementation - Simulation [MW] Heat Generation in Gothenburg April 2-8, HOB Gas HOB Bio Heat pumps CHP Gas CHP Bio Waste heat Mon Tue Wed Thu Fri Sat Sun WORKSHOP Källa Johan Kensby

26 The building as energy storage Kvillebäcken

27 The building as energy storage Kvillebäcken Installed. Test Start Winter 2016 Installed and ready <1 season Contract finalized construction ongoing

28 WORKSHOP

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32 Thermal Energy Storage In Buildings is: - A technical possibility - Economically profitable - but lacks a solid business model - We shall now try a business model WORKSHOP Källa Johan Kensby

33 Every day forecast sent to our marginal costs for heat production (camouflaged) to a server. This server will also continuously (every 10 minutes or more often) receive data from the buildings to be controlled (inside temp, outdoor temp, radiator flow and return mm.), As well as weather forecasts. Based on this data, as planned management for the coming hours. The planning is done by a gray-box model that is being developed now. The goal of the plan of management is that, given certain limitations on the temperature (e.g 21 ± 1 C) so the building is optimized for lowest heating costs where the cost per kwh of heat every hour is our marginal cost for that specific hour. The planned control then sent to the building in the form of a signal which adjusts the input from the outdoor temperature sensor. The building retains therefore it s regular control system. It is supplemented only with a number of sensors and an internet connection. No financial compensation will be paid in any direction in this test, but if it should be extended, it will create a model for sharing benefits. WORKSHOP

34 District heating is our future

35 Next step WORKSHOP

36 THANK YOU WORKSHOP