Written evidence submitted by Sanjaya Singhal (PSM0010)
My background & experience:
I am the Chief Executive of and the entrepreneur behind Secure Meters Group (£180m last year sales; 2,100 employees; 590 strong R&D team) with the following interests relevant to the UK:
Spanning metering technology, energy supply and heating controls in the UK gives me some unique insights. Experience in Australia allows the comparison of two very different approaches to smart meter deployment between the two countries. (In this paper Australian experience is summarized in Exhibit – 1 and cross-referenced as appropriate).
The context of GB’s smart metering program
British energy industry practices remain rooted in the last century. Some examples:
These are critical market weaknesses today. These weaknesses are not being addressed as a part of the smart meter mandate. Smart meters ought to reduce the suppliers costs to serve customers, indeed this is a critical part of the benefits case. Without commensurate reform in industry practices as above, smart meter deployment will not really bring costs down. (For the approach in Australia, see Exhibit-1 paragraph 4)
For GB, benefits are expected from two main areas – users saving energy (and commensurate carbon benefits) and industry cost savings by the energy supply industry. From the program it is not clear who is responsible for delivering the benefits (for the approach in Australia, see Exhibit-1 paragraph 5) and whether the benefits considered are real.
Will customers achieve the average 3% energy savings?:
UK wide energy use has been reducing by ~3% per year without smart meters. There is at least two years real data from the pre-foundation and foundation phase smart meter programs. A rigorous study of this would establish whether the 2.8% energy savings considered in benefits case are realizable or not. Utilita’s experience in serving the three lowest income deciles of GB indicates no reduction in energy use by its customers. Possibly the opposite could be true, Utilita’s lower prices may have caused a slight increase in customers’ usage.
User feedback from IHDs[4] saves energy was undeniably established in N Ireland. Secure Meters provided the metering equipment to NI. There is a fundamental difference between the NI & GB deployments of IHDs. The NI deployment forced the customer to interact with the IHD frequently (that IHD is the most convenient way to credit pre-payments). For the GB deployment, interaction with the IHD is optional. There is anecdotal evidence to show that more than half the customer population ignores the optional IHD within a few weeks of its installation.
Begs the question – is there a robust assessment of the income stratified 3% savings in the benefits case? Income stratification is necessary because attitudes to energy in the upper two or three income deciles are comfort driven while the lowest three deciles demonstrate a price elasticity towards energy.
Will the industry achieve the expected cost savings?:
The full picture on capital costs of the metering equipment is now more or less clear. The cost of SMETS-2 specifications is higher than SMETS-1 primarily because of the complexity built into the specifications and installation.
The main concern, however, is the operating cost of the specified smart meters. Present estimates of DCC costs indicate that annual operating costs on a per metering point per year are 2.5 times the cost in the Impact Assessment. See Exhibit-2 for details.
Complex services such as prepayment, multi-dwelling units, energy conservation equipment on the home area network etc. are yet to be designed and are excluded from the costs estimates so far declared. When these are added to the portfolio, operating costs will rise further.
What progress has been made on smart meter roll-out since our last report on this subject?
After the Government announced the foundation phase comprising SMETS-1 compliant meters supported by an SMSO[5] service would endure over their lifetime (i.e. beyond the commencement of the rollout specification), it has become easier and cheaper to raise finance for smart meter assets. Providers of finance needed the certainty that the Government provided.
Utilita was the first energy supplier to launch SMETS-1 meters based dual fuel pay-as-you-go energy product. Customer response has been very positive. Utilita has established that the operating cost of SMETS-1 with SMSO is very low. It now has over 130,000 customers. Other suppliers, including the one of the Big-6 have seen prepayment as good value for money and have contracted with Secure for SMETS-1 meters.
The Secretary of State wrote to all suppliers challenging them to prioritise prepayment customers for smart meter installation. While a few other suppliers are responding to this call, regulation is increasing the costs for these pioneers. Even though SMETS-1 meters are allowed to endure for their full useful life, this perverse regulation permits their removal, upon churn, by the new supplier if they are operated as pre-payment meters.
To what extent has the Government addressed the concerns we raised about smart-meter roll-out, and the concerns raised by other interested parties since we published our last report?
The two fundamental issues with smart meter rollout are: 1) will a robust DCC service be available in 2015; and 2) what are the operating costs for smart meters using the DCC service.
DCC is the contracting agency for three services Data Services (DSP), Communications Services (CSP) and Security Services. Good contractors with the appropriate pedigree but inadequate smart metering experience have been chosen for these services. DCC is a gigantic IT program serving many stakeholders, being put together in a great rush.
Such a program needed the collaborative and risk sharing methods of project management techniques that successfully delivered complex projects such as London 2012 and Heathrow T5 on time and within budget. Instead, the program is being run using transactional management methods with risks deferred or passed out to other stakeholders. Service specifications are so complex that if and when things go wrong, they will be very difficult to set right. The industry already knows the DCC program is running late, yet no one is acknowledging this delay that everyone already accepts.
After DCC achieves a satisfactory technical launch of its services, all energy suppliers will face a critical decision – is the service robust enough for them to trust their daily revenue and cash flows to it? This will be a difficult decision because the ultimate customer experience and the suppliers’ reputation will be determined by the quality and cost of the DCC service. The wrong decision for a small supplier like Utilita could threaten its survival. Utilita will not make the decision to switch to DCC merely because DCC has declared ‘go live’ or because of a regulation that drives it to do so. Utilita will test the service, gather industry experiences, build contingency plans – all of this will take time after go live. This time is not even in the project launch plans of DCC.
The plans themselves ignore the complexity of the metering solution required in each home. Four different devices are required to operate smoothly with one another to make the system work. Assuming there are five different device manufacturers, gives over a million test cases! Not every manufacturer will interpret the standards in exactly the same way. (For the approach in Australia, see Exhibit-1 paragraph 7)
It is highly unlikely that a complete range of DCC services will be available on time. It is more likely that the industry will be fed with a slow drip of delays and drip fed essential services over a period of time.
The operating costs of the communications and data services so far published by DCC are already above the costs in the initial impact assessment and are sure to rise further as the program nears completion. (See Exhibit-2 for a comparison).
DCC has already published[6] an increase of 72% over the procurement baseline for its internal costs and a 33% increase over the procurement baseline external costs. This publication also lays the ground for further increases in the future.
DCC, rather than become the provider of data to the whole industry, has reduced the scope of its services (for paucity of time to deliver the complex services) and morphed into the provider of a ‘communications link’ between smart meters and energy suppliers. This metamorphosis requires suppliers to continue to incur existing costs on top of paying for DCC e.g. for moving meter reading data to settlement systems or operating a prepayment service in addition to pay for the DCC service. Thus, on top of DCC costs, suppliers will continue to incur costs for data collection, validation & aggregation, PPMIP services etc.
On top of these costs, energy suppliers are incurring huge costs (far greater than the £30m envisaged in the Impact Assessments) for changing their IT systems to work with DCC. Since DCC costs apply equally to all suppliers, they are not seen as a competitive disadvantage by any one supplier. All suppliers will raise their tariffs to accommodate this cost increase. Even if some absorb all or part of this increase, this will at best be short term. The DCC cost will only hurt the efficient and innovative suppliers, who have a simpler, more capable and interoperable SMETS-1 products.
If DCC costs are not controlled, the benefits case from industry cost savings will simply disappear and industry operating costs will go up, not down. The key question is – who is the gatekeeper for DCC costs and where is the incentive for DCC to keep its costs as low as possible?
What problems have emerged during the foundation stage and how are they been addressed?
A number of issues have emerged during the foundation phase and many have either been ignored or have been ‘transferred’ to the industry. Some examples:
Critically for an innovative smart meter supplier like Secure, a different problem has arisen. Our customers who use our SMETS-1 meters with our SMSO service are telling us that in the SMETS-2 and DCC world they will not be able to support their customers with same levels of service. Compared to SMETS-1, when using DCC their customer service levels will drop. (Some examples: Install time drives install costs. Secure’s products allow completion of the installation even in the absence of a Wide Area Network signal. No WAN installs reduce costs but are not being offered by DCC. Another service called “Over the air firmware upgrade” is promised post DCC for 96% completion in five days, Secure’s customers get this at 99% in two days today)
What are the remaining challenges (technical, communication or other) associated with launching the mass roll-out of smart meters in 2015, and completing it by 2020?
In this writer’s considered opinion and experience, DCC will be late, much later than it is being projected. Validation of the new kit and DCC services will take very much longer than it is considered today. There is no chance that the rollout can be completed by 2020. If we continue down this path, a more likely date for completing the rollout is probably 2024.
How can these challenges be overcome?
Will this program mean higher customer bills? This frequently asked question must be answered with certainty. If bills will go up, then an informed choice on forcing yet another ‘policy cost’ on customers’ bills must be made.
What are the best approaches to monitoring the mass roll-out of smart meters?
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What contribution can smart meters make to expanding the use of Demand Side Response as a means of addressing possible capacity shortages?
Smart meters can make a big impact on shaping demand curve[7], i.e. demand side management and in making changes to demand in response to specific supply side or network events (demand response).
The key to demand side management is getting distribution network operators (DNOs) engaged in the process. They are not fully involved today. With the data level interoperability model, and with arm’s length service providers exchanging data with meters, engaging the DNOs will become easier. If customers agree that their data be used not just by their supplier but also by their DNO, passing data from service providers to DNOs becomes straightforward.
To realise the full potential benefits of smart meters, is it necessary to introduce time of use pricing for electricity?
Time of use (TOU) pricing, as opposed to time of day (TOD) pricing, helps in times of critical supply side shortages only. While TOD pricing can help shape the average load curve and address chronic supply side constraints, TOU pricing responds acute shortages caused by extreme weather or station / system outage events reflected in the wholesale / balancing market prices to rise sharply.
Benefits from TOU pricing will only arise once electricity settlement is based on real half hour data and not deemed profile. Even though smart meters can administer TOU pricing, this essential market mechanism to enable it, is missing.
Smart meter experience in Australia
Comparison of operating costs
Element of cost | Impact Assessment Mar-11[8] | Impact Assessment Jan-14[9] | DCC cost indication for RY15-16 |
Communications equipment £m | 792 | 984 | 3,663† |
- Cost per household* £/yr | 1.58 | 1.97 | 7.32 |
Communications services £m | 1,314 | 1,013 |
|
- Cost per household* £/yr | 2.63 | 2.02 | Incl. below |
Data services £m | 362 | 377 | 2,354† |
- Cost per household* £/yr | 0.72 | 0.75 | 4.70 |
Total £m | 2,468 | 2,374 | 6,017 |
- Cost per household* £/yr | 4.93 | 4.74 | 12.02 |
* Cost per household determined by dividing the total cost by the number of households receiving electric supply (27.8m) and the period considered in the Impact Assessments (18 years)
† DCC have published[10] per metering point indications of costs. Total cost has been determined by multiplying the per household costs by the number of households and the time as above.
DCC have held workshops with industry participants over the last few weeks to discuss their expectations of operating costs going forward. At present their cost projections go only as far as the Regulatory Year (RY) 15-16 with no indications yet of costs further out in the future. These projections come with a proviso that they are indicative and with strong indications that because of the complexity introduced by the new standard (GBCS) the costs are likely to go up further.
Against a projected total operating cost of DCC of £2,374m, DCC projections indicate the cost has risen to £6,017m, an increase of £3,643m. The net (undiscounted) benefit in the Impact Assessment Jan-14 was £6,876m. If the present operating costs are to continue, the net undiscounted benefits from the program will be £3,233m.
[1] Smart Meter Equipment Technical Specifications published by Government for the foundation phase.
[2] Communication Service Providers, part of DCC contracts.
[3] Data Service Provider, also part of DCC, The Data Communications Company
[4] In Home Displays
[5] Smart Meter Service Operator, the service which communicates with foundation phase SMETS-1 meters.
[6] Indicative Charging Statement for Service Charges, DCC, October 2014, Table – 6, pp9
[7] GB has an established demand management service, the radio teleswitch. It operates in thousands of homes controlling night storage heaters and hot water tanks. The smart meter rollout proposals have not yet considered how the radio teleswitch service will be replaced.
[8] Impact Assessment 2011, dated 30/03/2011; www.gov.uk/government/uploads/system/uploads/attachment_data/file/42740/1485-impact-assessment-smart-metering-implementation-p.pdf
[9] Impact Assessment 2014, dated 30/1/2014; www.gov.uk/government/publications/smart-meter-roll-out-for-the-domestic-and-small-and-medium-non-domestic-sectors-gb-impact-assessment
[10] DCC indicative charging statement, date October 2014, DCC indicative CH & SR charging workshop presentation, 19th August 2014 and Email from DCC Finance dated 29th October 2014