The Potential Cost of Non-Compliance to Businesses
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Utilities Summary - Demo Company Ltd
Utilities Summary - Demo Company Ltd The following report has been designed to help you reduce your utility costs. We have analysed every transaction within your accounts to help assess whether there is the potential for you to reduce your utilities expenditure. We have identified that there is the potential for you to save money on your utilities expenditure with the following providers. If you were to realise just a 20% saving this could be worth £0.8k per annum. BES Utilities Utilities Overview Utilities expenditure over the past 12 months of £5.2k has increased compared to the previous 12 months by £0.8k (18.2%). During the past quarter expenditure was £1.2k, a decrease from the previous quarter of £0.3k (21.4%). Compared to the same quarter in the previous year, this represents an increase of 70.2%. 1,200 8,000 7,000 1,000 Prior Year 6,000 800 5,000 600 4,000 3,000 400 Last Year 2,000 200 1,000 0 0 This Year Monthly Spend Rolling 12 Month Spend 0 2,000 4,000 6,000 8,000 £30,000 The earliest Overhead transaction £25,000 recorded within your accounts was on 17 April 2011. £20,000 Since then, the provider you have £15,000 spent the most with is BES £10,000 Utilities (26.4k). This represents 69.3% of all utilities expenditure £5,000 during this time period. £- BES Utilities Contract Water Plus Natural Gas Utilities Summary - Demo Company Ltd Provider 1 BES Utilities Potential to reduce costs - Extremely likely Months with provider 78 1,200 6,000 Prior Year Earliest Date Jan-13 1,000 5,000 Latest Date Aug-19 800 4,000 Total Spend to date 26,352 600 3,000 Monthly Spend TY 326 400 2,000 Last Year 200 1,000 Latest Qtr 704 0 0 Previous Qtr 1,286 This Year var (45.2%) Same Qtr Last Year 524 Monthly Spend Rolling 12 Month Spend var 34.5% 0 2,000 4,000 6,000 This provider has been highlighted as charging uncompetitive prices and operates with onerous terms, also, you have been using them for enough time to suggest you could negotiate more favourable terms and your spend is high enough for you to realise material savings in the future. -
Residential Demand Response in the Power System
RESIDENTIAL DEMAND RESPONSE IN THE POWER SYSTEM A thesis submitted to CARDIFF UNIVERSITY for the degree of DOCTOR OF PHILOSOPHY 2015 Silviu Nistor School of Engineering I Declaration This work has not been submitted in substance for any other degree or award at this or any other university or place of learning, nor is being submitted concurrently in candidature for any degree or other award. Signed ………………………………………… (candidate) Date ………………………… This thesis is being submitted in partial fulfillment of the requirements for the degree of …………………………(insert MCh, MD, MPhil, PhD etc, as appropriate) Signed ………………………………………… (candidate) Date ………………………… This thesis is the result of my own independent work/investigation, except where otherwise stated. Other sources are acknowledged by explicit references. The views expressed are my own. Signed ………………………………………… (candidate) Date ………………………… I hereby give consent for my thesis, if accepted, to be available for photocopying and for inter- library loan, and for the title and summary to be made available to outside organisations. Signed ………………………………………… (candidate) Date ………………………… II Abstract Demand response (DR) is able to contribute to the secure and efficient operation of power systems. The implications of adopting the residential DR through smart appliances (SAs) were investigated from the perspective of three actors: customer, distribution network operator, and transmission system operator. The types of SAs considered in the investigation are: washing machines, dish washers and tumble dryers. A mathematical model was developed to describe the operation of SAs including load management features: start delay and cycle interruption. The optimal scheduling of SAs considering user behaviour and multiple-rates electricity tariffs was investigated using the optimisation software CPLEX. -
Open Letter – Notifying of Our Intention to Launch a Project to Protect Consumers from Back Billing
Suppliers, consumer groups and other interested parties BY EMAIL Date: 3 April 2017 Dear colleagues Open letter – notifying of our intention to launch a project to protect consumers from back billing The purpose of this letter is to announce that we are launching a project to examine the regulatory framework governing back billing.1 Our minded-to position is to introduce new licence obligations to strengthen consumer protections in this area. The back-billing principle was introduced in 2007 and states that, if a supplier is at fault, they will not seek additional payment for unbilled energy used more than 12 months prior to the error being detected and a corrected bill being issued.2 We view this as an essential consumer protection and a minimum standard that we expect all suppliers to apply. The principle was introduced through self-governance; the suppliers active in the domestic retail market (at the time of introduction) committed to apply it and enshrined it in their own policies. However, in the ten years since it was introduced the market has changed markedly. There are now over fifty active suppliers in the retail market; in 2007 there were just eleven. We are not confident that the principle is being applied consistently across the market and are concerned that not all suppliers have appropriate back billing arrangements in place. When the principle was originally introduced, we stated that we would regulate to protect consumers if we became aware that the principle was not being applied universally.3 Given the reasons outlined, we are launching a project with the aim of protecting consumers from excessive back billing time limits. -
Greenwashing Vs. Renewable Energy Generation
Greenwashing Vs. Renewable energy generation: which energy companies are making a real difference? Tackling the climate crisis requires that we reduce the UK’s carbon footprint. As individuals an important way we can do this is to reduce our energy use. This reduces our carbon footprints. We can also make sure: • All the electricity we use is generated renewably in the UK. • The energy company we give our money to only deals in renewable electricity. • That the company we are with actively supports the development of new additional renewable generation in the UK. 37% of UK electricity now comes from renewable energy, with onshore and offshore wind generation rising by 7% and 20% respectively since 2018. However, we don’t just need to decarbonise 100% of our electricity. If we use electricity for heating and transport, we will need to generate much more electricity – and the less we use, the less we will need to generate. REGOs/GoOs – used to greenwash. This is how it works: • If an energy generator (say a wind or solar farm) generates one megawatt hour of electricity they get a REGO (Renewable Energy Guarantee of Origin). • REGOs are mostly sold separately to the actual energy generated and are extremely cheap – about £1.50 for a typical household’s annual energy use. • This means an energy company can buy a megawatt of non-renewable energy, buy a REGO for one megawatt of renewable energy (which was actually bought by some other company), and then claim their supply is renewable even though they have not supported renewable generation in any way. -
Consumer Experiences of Time of Use Tariffs Report Prepared for Consumer Focus
Consumer Experiences Of Time of Use Tariffs Report prepared for Consumer Focus Contents Executive Summary ........................................................................ i Introduction .................................................................................... 1 Background ................................................................................................ 1 Time of Use Tariffs ..................................................................................... 1 Research objectives ................................................................................... 2 Methodology............................................................................................... 4 Consumer profile ........................................................................... 7 Type of ToU tariff ....................................................................................... 7 Type of home heating ................................................................................ 8 Home tenure and housing type .................................................................. 9 Social grade ............................................................................................. 10 Household income and sources of income .............................................. 11 Age profile ................................................................................................ 13 Regional distribution ................................................................................. 14 Payment method for electricity -
Energy Prices and Bills - Impacts of Meeting Carbon Budgets | Committee on Climate Change
Acknowledgements The Committee would like to thank: The team that prepared the analysis for this report: Matthew Bell, Adrian Gault, Taro Hallworth, Mike Hemsley, Eric Ling, Mike Thompson and Emma Vause. Other members of the Secretariat who contributed to this report: Jo Barrett, Amber Dale, Aaron Goater, Jenny Hill, David Joffe, Sarah Livermore, David Parkes and Indra Thillainathan. A number of organisations and individuals for their support, including Ofgem, the Department for Business, Energy and Industrial Strategy and the Environment Agency. A number of stakeholders who engaged with us through bilateral meetings and correspondence, including Cambridge Architectural Research, Citizen’s Advice and Energy Savings Trust. 2 Energy prices and bills - impacts of meeting carbon budgets | Committee on Climate Change Contents The Committee 4-6 ________________________________________________________________ Executive Summary 7-12 ________________________________________________________________ Chapter 1: Household energy bills 13-54 ________________________________________________________________ Chapter 2: Business energy prices and bills 55-87 ________________________________________________________________ Chapter 3: Maintaining UK competitiveness in a low-carbon economy 88-118 Executive Summary 3 The Committee The Rt. Hon John Gummer, Lord Deben, Chairman The Rt. Hon John Gummer, Lord Deben, was the Minister for Agriculture, Fisheries and Food between 1989 and 1993 and the longest serving Secretary of State for the Environment the UK has ever had. His sixteen years of top-level ministerial experience also include Minister for London, Employment Minister and Paymaster General in HM Treasury. He has consistently championed an identity between environmental concerns and business sense. To that end, he set up and now runs Sancroft, a Corporate Responsibility consultancy working with blue-chip companies around the world on environmental, social and ethical issues. -
Appendix a Metrics for the Smart Grid System Report
Appendix A Metrics for the Smart Grid System Report Department of Energy | February 2012 Table of Contents Introduction .......................................................................................................................................... A.1 A.1 Metric #1: The Fraction of Customers and Total Load Served by Real-Time Pricing, Critical Peak Pricing, and Time-of-Use Pricing .......................................................................................... A.3 A.2 Metric #2: Real-Time System Operations Data Sharing .............................................................. A.11 A.3 Metric #3: Standard Distributed Resource Connection Policies .................................................. A.25 A.4 Metric #4: Regulatory Recovery for Smart Grid Investments ..................................................... A.35 A.5 Metric #5: Load Participation ...................................................................................................... A.43 A.6 Metric #6: Load Served by Microgrids ......................................................................................... A.53 A.7 Metric #7: Grid-Connected Distributed Generation and Storage ............................................... A.63 A.8 Metric #8: Market Penetration of Electric Vehicles and Plug-In Hybrid Electric Vehicles........... A.73 A.9 Metric #9: Grid-Responsive, Non-Generating Demand-Side Equipment .................................... A.85 A.10 Metric #10: Transmission and Distribution Reliability ............................................................... -
Open Letter: Cooperation with Switching Programme Governance Arrangements
Email: [email protected] Date: 15 January 2019 Dear Colleagues, Open letter: Cooperation with Switching Programme Governance Arrangements I am writing today to set out the baselined governance arrangements we are establishing to oversee the delivery phase of the Switching Programme and to invite you to provide feedback on the nominated representatives to participate in the new groups. Attached as an annex to this letter is a pack of information explaining these arrangements and the nominations received thus far. I would be grateful if you could respond by 25 January with any additional feedback and for parties still to nominate their representative, with the names and details of their representative to [email protected]. Overview of new governance arrangements At the Switching Programme Delivery Group on the 11 September, we set out our initial proposal for changes to the governance of the Switching Programme for the delivery phase. These changes are designed to improve the governance of the programme, to provide more efficient mechanisms to engage the right people, and facilitate quicker consultation and decision making during the DBT Phase of the Programme. Following the initial circulation of the proposed governance structure we received feedback that the level of supplier representation on the groups was not sufficient. We have listened to the feedback provided, and revised the governance structure on the Implementation Group and Delivery Group to address this feedback. The revised representative structure is set out below. The Terms of Reference for these groups will be made available in the coming weeks. We have allocated suppliers into Large, Medium and Small categories. -
The Evolution of Electricity Demand and the Role for Demand Side Participation, in Buildings and Transport
Energy Policy 52 (2013) 85–102 Contents lists available at SciVerse ScienceDirect Energy Policy journal homepage: www.elsevier.com/locate/enpol The evolution of electricity demand and the role for demand side participation, in buildings and transport John Barton a, Sikai Huang b, David Infield b, Matthew Leach c, Damiete Ogunkunle c, Jacopo Torriti d, Murray Thomson a,n a Centre for Renewable Energy Systems Technology, Loughborough University, Loughborough, LE11 3TU, UK b Institute of Energy and Environment, University of Strathclyde, Glasgow, G1 1XW, UK c Centre for Environmental Strategy, University of Surrey, Guildford, GU27XH, UK d School of Construction Management and Engineering, University of Reading, Reading, RG6 6AY, UK HIGHLIGHTS c Evolution of UK electricity demand along 3 potential low carbon Transition Pathways. c Electrification of demand through the uptake of heat pumps and electric vehicles. c Hourly balancing of electricity supply and demand in a low carbon future. c Demand side participation to avoid low capacity factor conventional generation. c Transition Pathways to an 80% reduction in UK operational CO2 emissions by 2050. article info abstract Article history: This paper explores the possible evolution of UK electricity demand as we move along three potential Received 16 November 2011 transition pathways to a low carbon economy in 2050. The shift away from fossil fuels through the Accepted 16 August 2012 electrification of demand is discussed, particularly through the uptake of heat pumps and electric Available online 18 September 2012 vehicles in the domestic and passenger transport sectors. Developments in the way people and Keywords: institutions may use energy along each of the pathways are also considered and provide a rationale for Transition the quantification of future annual electricity demands in various broad sectors. -
Auto-Rollover Remedy
Appendix 17.2: Auto-rollover remedy 1. This appendix, which relates to the auto-rollover remedy, first sets out parties’ initial comments to the Remedies Notice. Thereafter, it lists the detailed submissions (from parties), which we received before the publication of the provisional decision on remedies. Finally, we review the grounds for objections under which suppliers can object to a transfer occurring. 2. We have listed the parties’ responses to the provisional decision on remedies in the main body relating to microbusiness remedies. We note that all the parties that responded to the provisional decision on remedies supported the remedy and its design, except for Haven Power. Responses to the Remedies Notice 3. In the Remedies Notice, we consulted on a remedy that stipulated ‘introduction of a new requirement into the licences of retail energy suppliers that prohibits the inclusion of terms that permit the auto-rollover of microbusiness customers on to new contracts with a narrow window for switching supplier and/or tariff.’ 4. In this section we set out a summary of the responses to the Remedies Notice. The responses below can be found in full on our website. The Six Large Energy Firms 5. Centrica told us that it believes that the ending of auto-rollover contracts (with fixed-term Rollover Periods) would be beneficial to microbusiness customers and would help generate trust and engagement in the microbusiness segments. Since ending auto-rollover contracts (with fixed-term Rollover Periods), Centrica said that it had seen increased competitive forces as a result of the removal of the narrow window of opportunity for switching, and that would help support the right kind of conditions for PCWs to emerge. -
Smart Meters
Smart Meters Quarterly Report to end March 2017 Great Britain Statistical Release: Experimental National Statistics 25 May 2017 This document is available in large print, audio and braille on request. Please email [email protected] with the version you require. © Crown copyright 2017. You may re-use this information (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ or write to the Information Policy Team, The National Archives, Kew, London TW9 4DU, or email: [email protected]. Any enquiries regarding this publication should be sent to us at [email protected]. This publication is available for download at www.gov.uk/government/publications. Contents Contents Contents ____________________________________________________________ 2 Executive Summary ___________________________________________________ 3 Chapter 1: Introduction to Smart Metering __________________________________ 4 1.1 Overview _______________________________________________________ 4 1.2 Types of Premise ________________________________________________ 5 1.3 Types of Supplier ________________________________________________ 5 1.4 Types of Gas and Electricity meters __________________________________ 6 1.5 Further information _______________________________________________ 7 Chapter 2: Domestic Smart Metering ______________________________________ 8 2.1 Smart meter installations in domestic -
Predicting Winning and Losing Businesses When Changing Electricity Tariffs ⇑ Ramon Granell A, Colin J
Applied Energy 133 (2014) 298–307 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Predicting winning and losing businesses when changing electricity tariffs ⇑ Ramon Granell a, Colin J. Axon b,1, David C.H. Wallom a, a Oxford e-Research Centre, University of Oxford, 7 Keble Road, Oxford OX1 3QG, United Kingdom b School of Engineering and Design, Brunel University, Uxbridge, London UB8 3PH, United Kingdom highlights We have used a data set of 12,000 UK businesses representing 44 sectors. We used only 3 features to predict the winners and losers when switching tariffs. Machine learning classifiers need less data than regression models. Prediction accuracies of the winning and losing businesses of 80% were typical. We show how the accuracy varies with the amount of power demand data used. article info abstract Article history: By using smart meters, more data about how businesses use energy is becoming available to energy Received 4 April 2014 retailers (providers). This is enabling innovation in the structure and type of tariffs on offer in the energy Received in revised form 24 July 2014 market. We have applied Artificial Neural Networks, Support Vector Machines, and Naive Bayesian Accepted 25 July 2014 Classifiers to a data set of the electrical power use by 12,000 businesses (in 44 sectors) to investigate Available online 17 August 2014 predicting which businesses will gain or lose by switching between tariffs (a two-classes problem). We have used only three features of each company: their business sector, load profile category, and mean Keywords: power use.