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Time Shifting / Storage – Above Ground
Revision A – 20/10/2010 Thermal Store Time Shifting / Storage – Above Ground October 2016
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How does the system work
Low Demand 03.00 6°c A am 85°C Demand
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How does the system work
Low Demand 04.00 5.5°c A am Demand
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Low Demand 05.00 6°c A am 85°C Demand
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How does the system save Carbon/Energy
High Demand 06.00 6.5°c A am 85°C Demand
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How does the system save Carbon/Energy
High Demand 08.00 7°c A am 85°C Demand
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How does the system save Carbon/Energy
High Demand 09.00 8°c A am 85°C Demand
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How does the system save Carbon/Energy
Medium Demand 10.00 9°c A am 85°C Demand
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How does the system save Carbon/Energy
Very High Demand 08:00 -7°c A am 85°C Demand District flow achieved But at low temperature 45°C
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How does the system save Carbon/Energy
Failure / Under Capacity 08:00 -7°c A am 85°C 60°C Demand District flow achieved But at low temperature 45°C
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Typical 24Hr demand
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Add CHP heat
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Add CHP heat rejected & wasted
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Add CHP heat rejected & wasted, boilers top up
Plant tCO2 CHP(g) 63 £ 10,095 Boiler(g) 5 £ Grid(e) saved -50 -£ 9,240 Total 18 £ 1,763
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With Stores - CHP
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With Stores – CHP + Store flow
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With Stores – CHP + Store flow, heat rejected,
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With Stores – CHP + Store flow, heat rejected, boilers top up
Plant tCO2 CHP(g) 62 £ 9,942 Boiler(g) 3 £ Grid(e) saved -50 -£ 9,100 Total 16 £ 1,364
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Compare without & with stores
Plant tCO2 CHP(g) 63 £ 10,095 Boiler(g) 5 £ Grid(e) saved -50 -£ 9,240 Total 18 £ 1,763 Plant tCO2 CHP(g) 62 £ 9,942 Boiler(g) 3 £ Grid(e) saved -50 -£ 9,100 Total 16 £ 1,364
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Started after commissioning of Thermal stores December 2008
Improved Control Started after commissioning of Thermal stores December 2008 Identify strategies to manage Thermal stores charge / discharge cycles Identify controls principles to couple CHP – Thermal stores Identify technologies (HC900) Create & Implement controls Fine tune Current development Highlights that Warwick land is relatively underdeveloped and has tended to accommodate Post experience centres and residential Innovative approach Predictive controls 20
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Self Learning Algorithm
CHP Control Self Learning Algorithm Selects 4 hour time window PROCESS CONTROLLER Records outside temp at start of period CALCULATES TOTAL HEAT USED Records site energy demand in period M CHANGES STORED VALUE BY UP TO 10% COMPARES TO VALUE STORED PREVIOUSLY If different Site Heat Meter If same NO CHANGE
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LTHW Energy Predictive Table
CHP Control LTHW Energy Predictive Table
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With Stores – plus upgrade control
Plant tCO2 CHP(g) 62 £ 9,872 Boiler(g) 3 £ Grid(e) saved -49 -£ 9,042 Total 15 £ 1,304
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Compare without & with stores + controls
Plant tCO2 CHP(g) 63 £ 10,095 Boiler(g) 5 £ Grid(e) saved -50 -£ 9,240 Total 18 £ 1,763 Plant tCO2 CHP(g) 62 £ 9,872 Boiler(g) 3 £ Grid(e) saved -49 -£ 9,042 Total 15 £ 1,304
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Carbon savings is on target @ 770 tCO2 Increased generation enabled
Practical Experience Conclusion Overall benefits Carbon savings is on 770 tCO2 Increased generation enabled Reduced wasted heat secured But Knowledge of building loads become essential CHP engines reliability issues become apparent
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Measured UOW annual saving ~£97,000
Practical Experience Savings in carbon and energy costs Plant Original With 200m³ store With store & controls tCO2 Cost CHP(g) 63 £ 10,094.70 62 £ ,941.75 £ ,878.77 Boiler(g) 5 £ 3 £ £ Grid(e) saved -50 -£ 9,240.00 -£ ,100.00 -49 -£ ,042.35 Total 18 £ 1,762.54 16 £ ,364.03 15 £ ,304.25 Savings 11% 23% 14% 26% Measured UOW annual saving ~£97,000 ~770 tCO2
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Considerations / limitations
Balance store size against capital cost and savings achieved Don’t size for peak load only Consider storage in buildings Good understanding of load profile over year needed Check electricity generated can be used Consider operational parameters of CHP, starts per day etc. Consider maintenance on CHP Low return temperatures critical to maximum performance Controls are very important, predictive control, not just current demand.
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