Households energy management in the UK Danelle Veldsman Strategy Consultant 6 November 2018 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°691689.
Contents • Good Energy • It’s personal • Power of analytics and innovation • Real time benefits • Flexible load potential • Reflection 04/12/2018 2
Good Energy Who we are
Good Energy’s Purpose Powering the choice for a cleaner, greener future together 04/12/2018 4
It’s personal Moving from Transactions to Customer Relationships
Transactions 04/12/2018 6
Customer Relationships 04/12/2018 7
Power of analytics and innovation Home Innovation Trial
Home Innovation Trial February 2018 July 2018 June 2018 September 2018 04/12/2018 9
Collecting Baseline data Daily Consumption Profile of typical household during Energy Basis (June 2018) 60 18 16 50 14 40 12 10 pence 30 8 20 6 4 71% 29% 10 2 0 0 Peak Off-Peak Stage 1 Energy Consumed per HH specified (kWh) 04/12/2018 10
Collecting Baseline data Daily Consumption Profile of typical household during Energy Basis (June 2018) disaggregated 60 18 16 50 14 Peak 40 12 Off-Peak Washing Machine 10 Toaster pence 30 Other 8 Microwave Kettle 20 6 Hair Straighteners Fridge1 4 10 Fridge0 2 Electric Shower 0 0 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Time of Day 04/12/2018 11
Primary Research Results How much do you think you will be able to save on your electricity bill in the first month? > £21 £11 - £15 £5 - £10 < £5 0,0% 10,0% 20,0% 30,0% 40,0% 50,0% 60,0% 70,0% 80,0% Sample size 23 households 04/12/2018 12
Primary Research Results Most and least valuable features Tariff 50% 50% 46% % of participants with high value for the features % of participants with no value for the features 45% 45% 40% 40% 36% 35% 35% 32% 30% 30% 25% 25% 22% 20% 20% 20% 15% 15% 15% 10% 10% 5% 5% 0% 0% 0% Real time live View home View your Receive alerts View your View your Enter your graph appliances house's when an house's house's tariff separately electricity appliance has electricity electricity information in been left on information in information in £ kWh CO2 04/12/2018 13
Real time benefits Data observations
Two types of behaviour that can influence energy consumption VOLUME: Up / Down SHIFT: Left / Right 1,000 20,00 1,000 20,00 0,900 0,900 0,800 15,00 0,800 15,00 0,700 0,700 pence pence kWh kWh 0,600 10,00 0,600 10,00 0,500 0,500 0,400 5,00 0,400 5,00 0,300 0,300 0,200 - 0,200 - 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Off peak Peak Off peak Peak Profile Base Shift Profile Up Profile Base Shift Profile Left Shift Profile Down Shift Profile Right 04/12/2018 15
Measured impact of access to real time data Daily Consumption Profile of typical household during Energy Basis and Energy Awareness 60,000 18 16 50,000 14 40,000 12 10 pence 30,000 8 20,000 6 4 10,000 29% 71% 2 - 0 Peak Off-Peak Stage 1 Energy Consumed per HH specified (kWh) Stage 2 Energy Consumed per HH specified (kWh) 04/12/2018 16
HH1 Daily Consumption Profile Energy Basis: Consumption 70kWh, Peak/Off peak: 71%/29% Energy Awareness: Consumption 70kWh, Peak/Off peak: 71%/29% 7,000 18,00 6,000 16,00 5,000 14,00 4,000 pence kWh 12,00 3,000 10,00 2,000 8,00 1,000 - 6,00 Off peak Peak Stage 1 Consumed per HH specified (kWh) Stage 2 Energy Consumed per HH specified (kWh) 04/12/2018 17
HH3 Daily Consumption Profile Energy Basis: Consumption 80kWh, Peak/Off peak: 82%/18% Energy Awareness: Consumption 80kWh, Peak/Off peak: 78%/22% 4,500 20,00 18,00 4,000 16,00 3,500 14,00 3,000 12,00 2,500 pence kWh 10,00 2,000 8,00 1,500 6,00 1,000 4,00 0,500 2,00 - - Off peak Peak Stage 1 Consumed per HH specified (kWh) Stage 2 Energy Consumed per HH specified (kWh) 04/12/2018 18
HH6 Daily Consumption Profile Energy Basis: Consumption 95kWh, Peak/Off peak: 60%40% Energy Awareness: Consumption 75kWh, Peak/Off peak: 78%22% 20,000 20,00 18,000 18,00 16,000 16,00 14,000 12,000 14,00 pence kWh 10,000 12,00 8,000 6,000 10,00 4,000 8,00 2,000 - 6,00 Off peak Peak Stage 1 Consumed per HH specified (kWh) Stage 2 Energy Consumed per HH specified (kWh) 04/12/2018 19
Does app analytics provide evidence of behaviour changes in data? 25% of households logging on in last 96 hours Twice a day on average 90% of those households are looking at their budget settings More households are interested in viewing appliance info at a summary level than single When viewing appliance information, more households are interested in kWh than £ 04/12/2018 20
Measured impact of access to real time data Volume • Although the portfolio’s monthly consumption increased by 7% – 63% of households had a lower consumption of 16% on average • Insufficient data • No conclusive evidence other than app engagement at this stage • Other independent studies state customers are saving around £32 a year on their energy bills since the installation of their smart meters. 04/12/2018 21
Measured impact of access to real time data Shift • Although the portfolio’s peak: off - peak ratio remained the same – 37% of households had a lower percentage peak consumption of 2% on average • Insufficient data • No conclusive evidence • Let’s explore potential 04/12/2018 22
Flexible load potential Exploring additional real time benefits of disaggregation
Identifying Load Shift Potential Daily Consumption Profile of typical household during Energy Awareness (July 2018) 60 18 16 50 14 Peak Off-Peak 40 12 Washing Machine 10 Toaster pence 30 Other 8 Microwave Kettle 20 6 Hair Straighteners 4 Fridge1 10 Fridge0 2 Electric Shower 0 0 Time of Day 04/12/2018 24
7% Flexible Load Potential Identified Shift washing machine load into off peak Shift all other load with one half hour from peak to off peak Peak Off Peak OFF PEAK OFF PEAK PEAK 7% shift from PEAK peak into off peak E N E RGY A WA RE N E SS E N E RGY A WA RE N E SS POTE N TI A L 04/12/2018 25
£4.20 potential yearly saving per HH Electric Shower 9% Fridge0 Electric Shower 10% Fridge1 Fridge0 0% Fridge1 Hair Straighteners Kettle 0% Hair Straighteners 3% Microwave 0% Kettle Microwave Other Washine Machine 61% Other Toaster 15% Washine Machine Toaster 2% 04/12/2018 26
PENCE /KWH 10 15 20 25 30 35 Optimised Tariff Opportunity 0 5 00:00 01:00 02:00 03:00 04:00 2 Rate Tariff 05:00 06:00 07:00 08:00 Peak 09:00 10:00 HALF HOUR 11:00 Off-Peak 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 04/12/2018 23:00 PENCE /KWH 10 15 20 25 30 35 0 5 00:00 01:00 02:00 03:00 04:00 4 Rate Tariff 05:00 06:00 07:00 08:00 R1 09:00 R2 10:00 HALF HOUR 11:00 R3 12:00 13:00 R4 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 27 22:00 23:00
10% Flexible Load Potential Identified Shift washing machine load into R1 Shift all other load with half hour between optimal rate blocks R1 R2 R3 R4 R4 R4 R3 R3 10% shift R2 R2 between rate blocks R1 R1 E N E RGY A WA RE N E SS E N E RGY A WA RE N E SS POTE N TI A L 04/12/2018 28
£11.60 potential yearly saving per HH Electric Shower 4% Fridge0 15% Electric Shower Fridge0 Fridge1 Hair Straighteners Washing Machine 42% Kettle Fridge1 Microwave 15% Other Toaster Washing Machine Hair Straighteners Kettle 5% 5% Other 6% Toaster Microwave 4% 4% 04/12/2018 29
Reflection Conclusions
Conclusions • Flexible UK Flexible Load Static ToU Load 7% potential using Possible Today (2 Rate) • Saving average of the £4.20 range in study E7 • 3,600 GWh (1) Smart Meter Optimised UK households DNO transition to DSO • Flexible potential savings Load 10% Static ToU £100 million • • Saving (4 Rate) £11.60 Possible Tomorrow Dynamic • Potential opportunity ToU HH settlement even bigger (1) Ofgem TDCV 3,100kWh for P1 customer, 13 million households on optimised static ToU tariff (half of UK households) 04/12/2018 31
Thank you
Recommend
More recommend
