Comparison of THREE ELECTRICAL SPACE HEATING SYSTEMS IN LOW ENERGY BUILDINGS FOR SMART LOAD MANAGEMENT V. Lemort, S. Gendebien, F. Ransy and E. Georges.

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Presentation transcript:

Comparison of THREE ELECTRICAL SPACE HEATING SYSTEMS IN LOW ENERGY BUILDINGS FOR SMART LOAD MANAGEMENT V. Lemort, S. Gendebien, F. Ransy and E. Georges International Conference on SUSTAINABILITY & ENERGY ISSUES Brussels, September 7th 2017

Introduction Context Intermittent production 1 nuclear unit (Source: Elia) Electrification Heat pumps Electric vehicles Batteries 1 nuclear unit DSM

Introduction Purpose of the study Compare the potential of load shifting of three heating systems: direct electric heaters, electric heaters with sensible storage, heat pumps with water tanks, in the frame of Load matching through load shifting (self-consumption of PV production) Peak shaving through load shifting

Introduction Electric heaters with sensible storage

Content of the presentation Introduction Context and objectives Electric heaters with sensible thermal storage Case study and assumptions Building description Investigated heating systems Assumption Potential of peak shaving Potential of self-consumption Conclusions

Case study and assumptions Building description Detached house Massive structure External insulation Energy performance: K25 Ground surface: 88 m² Heated volume: 457 m³ Heated surface: 176 m²

Case study and assumptions Investigated systems Technologies? « Smart »? Peak shaving= prevent consumption during peak hours Self-consumption= maximum consumption during PV production period Heating Domestic hot water Direct electric heaters Electric water heater Electric heaters with thermal storage Heat pump Heat pump + water tanks

Case study and assumptions Investigated systems Case 3 + Case 5 + Smart? Case 2 + Case 4 + YES + Case 6 Case 1 + NO DHW DHW + space heating Storage ?

Case study and assumptions Assumptions (sizing) Emitters: Heat pump: sized to cover 80% of peak heating load (at-10°C). Back-up electric resistances cover the remaining fraction. 1000 W 1500- 1800 W 1000 W 2 x 1000 -1800 W 1000 - 1800 W 1000 W

Case study and assumptions 200L 250L HEAT PUMP Tap water

Case study and assumptions Heat pump performance based on manufacturer data Brussels climate (2012) Decision time step: 5 minutes Intermittent occupancy profiles: 7am-8:30am and 5pm-11pm

Content of the presentation Introduction Context and objectives Electric heaters with sensible thermal storage Case study and assumptions Building description Investigated heating systems Assumption Potential of peak shaving Potential of self-consumption Conclusions

Potential of peak shaving Context Daily peak electricity demand as function of average daily outdoor temperature Spot market price as function of grid load

Potential of peak shaving Control mechanism The electricity price on the spot market is known one day ahead (N-1) For day N, a transition price ᴨthres is defined. Heat is stored when the price is lower than ᴨthres

Potential of peak shaving Results A slight overconsumption of the storage heaters compared to the direct electrical heater can be observed. This is mainly due to the static emission occurring during non-occupied hours (blue curve in Figure 6). The total amount of energy consumed during peak hours in February is 134 kWh for the direct electrical hours, 35 kWh for the storage heaters and 47 kWh for the heat pump coupled to buffer tanks. Relatively, storage heaters and heat pumps with buffer tanks seem to be suitable options for load shifting, compared to direct electrical heaters. However, conclusions regarding the load shifting related to the heat pump with buffer tanks are difficult to draw since they are highly dependent on the tank volume considered. more suitable for load shifting

Content of the presentation Introduction Context and objectives Electric heaters with sensible thermal storage Case study and assumptions Building description Investigated heating systems Assumption Potential of peak shaving Potential of self-consumption Conclusions

Potential of self-consumption Context Increase of number of “prosumers” Electricity grid congestion and PV curtailment Restrict the amount of distributed power supplied to the grid Promote self-consumption by resale tariff < retail tariff Today self-consumption is of the order of 24-31% (for a PV installation sized to provide 100% of annual appliances and lighting consumption)

Potential of self-consumption Results (self-consumption factor)

Potential of self-consumption Results

Conclusions Peak shaving (Electric heaters + thermal storage) and (heat pumps + thermal storage) allow for a significant reduction of power consumed during peak hours With (electric heaters + thermal storage), there is a slight over-consumption Currently, no incentive to shift loads… but the situation might be critical with the electrification of the residential sector Larger load shifting could be achieved with the heat pump if larger storage tanks were used. However, the total consumption would also increase. Hence, a economical optimization should be conducted.

Conclusions Self-consumption With an appropriate control, (electric heaters + thermal storage) allow for an increase of 20% points of self-consumption (Heat pumps + thermal storage) show lower self-consumption, since better performance and hence lower consumption Smart control of storage systems allow for a reduction of power supplied by the grid.

Thank you for your attention! Vincent.lemort@ulg.ac.be

Potential of self-consumption Results