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WO2017035571A1 - Analyse de données de compteur intelligent pour recommander la production ou le stockage d'énergie solaire - Google Patents

Analyse de données de compteur intelligent pour recommander la production ou le stockage d'énergie solaire Download PDF

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Publication number
WO2017035571A1
WO2017035571A1 PCT/AU2016/050721 AU2016050721W WO2017035571A1 WO 2017035571 A1 WO2017035571 A1 WO 2017035571A1 AU 2016050721 W AU2016050721 W AU 2016050721W WO 2017035571 A1 WO2017035571 A1 WO 2017035571A1
Authority
WO
WIPO (PCT)
Prior art keywords
energy
users
energy consumption
consumption data
analysing
Prior art date
Application number
PCT/AU2016/050721
Other languages
English (en)
Inventor
James Myatt
Darren Miller
Original Assignee
Mojo Power Holdings Pty Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2015903520A external-priority patent/AU2015903520A0/en
Application filed by Mojo Power Holdings Pty Ltd filed Critical Mojo Power Holdings Pty Ltd
Publication of WO2017035571A1 publication Critical patent/WO2017035571A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Definitions

  • the present invention relates to systems and methods used in retailing energy.
  • the systems and methods described are particularly suitable for accommodating and encouraging the adoption of customer site based renewable energy generation and storage solutions.
  • the electricity industry in Australia is structured into discrete segments: generation 100, transmission 200, distribution 300 and retail 400 and is governed by a scheme known as the National Electricity Market.
  • NEM National Electricity Market
  • the electricity pool is not a physical location, rather, it is a set of procedures that the Australian Energy Market Operator (AEMO) manages according to the provisions of National Electricity Law and National Electricity Rules (the Rules) and in conjunction with market participants and regulatory agencies.
  • AEMO Australian Energy Market Operator
  • the electricity wholesale market has two aspects to it - physical electricity supply, and wholesale contracts for price hedging.
  • the physical market is a mandatory spot market, where all electricity produced and consumed flows through a central pool administered by AEMO.
  • AEMO determines a price for each half hour interval based on demand and supply. This price can currently vary between -$l,000/MWh and +$13,800/MWh from one half hour to the next.
  • Energy retailers are required to pay AEMO for electricity used by their customers in each half hour, at the variable spot price.
  • energy retailers may enter into separate load following hedge contracts, covering 100% of the electricity used by their customers.
  • These contracts are financial derivatives that provide cash settlements referenced to the half-hourly spot price index.
  • These load following hedge contracts also include the reallocation of associated NEM prudential requirements.
  • Electricity production is matched to electricity consumption, and spare generating capacity is always kept in reserve in case it's needed. The current energy price then can be calculated. Electricity production is also subject to transmission limitations so that the network is not overloaded.
  • a dispatch price is determined every five minutes, and six dispatch prices are averaged every half-hour to determine the "spot price" for each NEM region.
  • AEMO uses the spot price as its basis for settling the financial transactions for all electricity traded in the NEM.
  • the National Electricity Rules (the Rules) set a maximum spot price, also known as the Market Price Cap. For 2015/16 this cap is currently set at $13,800 per megawatt hour.
  • the Rules also set a minimum spot price, called the market floor price.
  • the market floor price is currently -$1,000 per megawatt hour.
  • the Australian Energy Market Commission's Reliability Panel reviews the market price cap and market floor price settings every four years to ensure they align with the NEM reliability standard.
  • AEMO To pay generators, AEMO must recover costs from customers. Most customers don't participate directly in the NEM; purchasing their electricity through a retailer. Customers pay the retailers a commercial tariff, and retailers manage customers' energy purchases, including paying AEMO the spot price.
  • NEM participants need to manage the financial risks associated with the significant spot price volatility that occurs during trading periods. They achieve this by using wholesale supply contracts that are financial contracts that lock in a firm price for electricity that will be produced or consumed at a given time in the future. These arrangements are generally in the form of derivatives, and include swaps or hedges, options and futures contracts.
  • variable costs relate to the supply of electricity that are incurred by reference to the amount of electricity consumed by its customers.
  • variable costs include fees payable to electricity network operators and distributors and costs of complying with mandated renewable energy and carbon schemes.
  • Electricity retailers charge retail customers for electricity based on a combination of daily charges ($ per day) and volumetric charges i.e. the amount of electricity consumed by the customer ($ per kilowatt hour).
  • the volumetric charge is charged for at a retail rate which is arrived at by adding a margin to the direct costs per unit of energy and certain other variable costs of supplying energy.
  • the volumetric charge components represents the majority (approximately 85%) of a customer's bill.
  • Victoria and NSW retail energy pricing has been de-regulated and the retailers set their pricing generally on an annual basis.
  • the Government sets the default price for retail energy each year for non-market contract customers. Generally, this sets the ceiling level for all retail energy pricing. It is anticipated that the Queensland Government will remove pricing controls for South East Queensland in 2016.
  • margin pricing model energy retailers make larger profits from customers who consume more electricity. This provides a disincentive to the retailer to encourage the customer to adopt energy saving measures or to adopt consumption reducing measures such as installing solar energy generation equipment or energy storage equipment.
  • the present invention provides a method of retailing energy including the steps of: entering into agreements with energy users to supply energy to the users under an agreed cost structure; the cost structure includes a periodic fixed fee component and a volumetric component; wherein the volumetric component is based on charging each user for their energy consumption at a rate reflective of the variable costs of supplying energy incurred by reference to the amount of energy consumed.
  • the method may further include the step of installing a smart energy meter in relation to the user's energy service, the smart meter being arranged to gather energy consumption data over the course of each day.
  • the method may further include the step of making the energy consumption data available to users in real or near real time.
  • the method may further include the step of analysing the energy consumption data to identify users who may benefit from installing solar energy generation equipment.
  • the method may further include the step of analysing the energy consumption data to identify users who may benefit from installing energy storage equipment.
  • the present invention provides a system for retailing energy including: storage means for storing details of energy users; billing means for billing for the supply of energy to the users under an agreed cost structure; the cost structure includes a monthly fee component and a volumetric component; wherein the volumetric component is based on charging each user for their energy consumption at a rate reflective of the variable costs of supplying energy incurred by reference to the amount of energy consumed.
  • the billing means may operate based on energy consumption of a user which is derived from a smart meter, the smart meter being arranged to gather energy consumption data over the course of each day.
  • the system may further include means for making the energy consumption data available to users in real or near real time.
  • the system may further include analysing means for analysing the energy consumption data to identify users who may benefit from installing solar energy generation equipment.
  • the system may further include analysing means for analysing the energy consumption data to identify users who may benefit from installing energy storage equipment.
  • the present invention provides a method of identifying energy users who may benefit from installing solar energy generation equipment including the steps of: receiving energy consumption data in relation to users which has been gathered over the course of a number of days; analysing the energy consumption data to identify users who may benefit from installing solar energy generation equipment.
  • the present invention provides a method of identifying energy users who may benefit from installing energy storage equipment including the steps of: receiving energy consumption data in relation to users which has been gathered over the course of a number of days; analysing the energy consumption data to identify users who may benefit from installing energy storage equipment.
  • Figure 1 is a schematic diagram illustrating segments of the electricity industry
  • Figure 2 is a schematic diagram of a system for retailing energy
  • Figure 3 shows the menu structure of the customer portal presented by the system of figure 2;
  • Figure 4 shows the typical energy consumption pattern of a customer of the system of figure 2;
  • Figure 5 illustrates the expected impact on the energy usage pattern of figure 4 by installing solar energy generation equipment
  • Figure 6 illustrates the impact on the energy usage pattern of figure 5 of installing energy storage equipment
  • Figure 7 shows the user interface of an application used by a customer of the system of figure 2.
  • Embodiments of the invention involve a novel way of delivering and pricing retail electricity based on a 'fee for service' model. This aligns the price charged with the cost of servicing a customer. This allows the energy retailer to delink energy margin from consumption and offer rates at significantly lower prices to certain segments of the market. This alignment between the retailer and the customer enables the retailer to focus on energy management, control and cost minimisation for the customer.
  • the retailer provides rich data and knowledge to customers with a real-time energy usage feed from a smart meter installed by the retailer.
  • the retailer uses this data to build individualised customer usage profiles and provide a
  • the retailer can accurately assess each customer's suitability for solar photovoltaic systems and storage technology.
  • the retailer may own the solar assets and enter into associated Power Purchase Agreements with customers with respect to the electricity generated from these assets.
  • a system 10 for retailing energy.
  • the system 10 is embodied in an internet connected server computer 12 running suitably configured software under control of an operating system by way of a typical processor and memory architecture 14.
  • Server 12 is connected to database 16 used for storing and retrieving information used in operating the system.
  • Server 12 communicates via the internet 19 by way of router 18 to receive and transmit information used in the system as will be later described.
  • Server 12 may be provided as a hosted cloud computing system.
  • System 10 is operated and administered by a company 20 which in this example is an electricity retailing company. Energy users in the form of residential electricity customers 30, 32, 34, have entered into supply agreements with the energy retailer 20 for their electricity supply.
  • the energy retailer 20 has arranged for installation of smart electricity meters 40, 42, 44 at the homes of the customers. Smart meter 40 is installed at the home of customer 30, smart meter 42 is installed at the home of customer 32 and smart meter 44 is installed at the home of customer 34.
  • the smart meters 40, 42, 44 measure the electricity consumption of respective customers 30, 32, 34
  • the agreements between the energy retailer 20 and the customers 30, 32, 34 specify an agreed cost structure.
  • the cost structure includes a periodic fixed fee component in the form of a monthly fee and a daily charge and volumetric component which is based on the energy consumption of each customer.
  • the volumetric component is based on charging each user for their energy consumption at a rate reflective of variable costs of supplying electricity incurred by reference to the amount of energy consumed. In some cases these variable costs may be passed on directly, in some other cases it may be calculated on an estimate or average basis.
  • the cost of the volumetric component to a customer is reflective of the variable costs of supplying electricity of the retailer if the rates being charged to the consumer are substantially the same as the variable costs over time. In this way, the profit margin of the retailer is not dependant on the volumetric component of the electricity supplied under the agreement.
  • Smart meters 40, 42, 44 are digital meters that record electricity consumption data in relation to the customers' electricity supplies over the course of a day. They include a wireless communications system and are programmed to record and transmit customer usage data to be stored in database 16 of system 10. Smart meters 40, 42, 44 may be programmed to "push" the data which they have recorded once every 24 hours. In addition, the smart meters 40, 42, 44 can be polled by the energy retailer 20 or the customers 30, 32, 34 to obtain consumption data in real time. Having the ability to view consumption data in real time allows the sending of relevant consumption alerts and warnings to the customers. In addition, a customer can inform themselves of their electricity consumption at any time to better understand the electricity usage in their home so that they can better control their own consumption.
  • the energy retailer can accurately profile a customer's usage to determine whether they might benefit from the installation of solar electricity generation equipment, such as photovoltaic panels, or electricity storage equipment such as storage batteries.
  • solar electricity generation equipment such as photovoltaic panels
  • electricity storage equipment such as storage batteries.
  • the net differences that is, the net consumption from the grid, or net surplus sent back to the grid, as the case may be
  • the net differences are measured and recorded by the metering technology every half hour.
  • the usage pattern of figure 4 has been overlaid with the expected output of a typical 5kW photovoltaic panel system.
  • the customer now uses less grid electricity, and there are times during sunlight hours where electricity is being exported to the grid, which would earn them a small credit to their billing account.
  • the usage pattern of figure 5 has now been further overlaid with the expected impact of installing a typical 12kWh storage battery. Solar exports are reduced in favour of charging a deep cycle battery. Later in the day when sunlight fades the battery is drawn upon instead of importing electricity from the grid to further reduce the amount of grid electricity used by the customer.
  • customers may access a dedicated application using their own computing device such as a mobile phone or tablet.
  • the application interface 60 they are provided with direct access to real-time consumption information which can also reflect the contributions made by their solar generation or storage equipment.
  • the application will also allow customers to see their current billing balance in real-time with accurate usage data. This is a key platform for reducing customer service enquiries as well as providing a value add service for customers.
  • the apps may also include functionality to provide information and control of isolated devices within customers' homes.
  • a "smart meter” means an energy meter which is able transmit consumption data.

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé qui permet de recevoir des données de consommation d'énergie à partir de compteurs intelligents par rapport à des utilisateurs qui ont été rassemblés pendant un certain nombre de jours et d'analyser les données de consommation d'énergie pour identifier des utilisateurs qui peuvent bénéficier de l'installation d'équipement de production d'énergie solaire ou de stockage d'énergie.
PCT/AU2016/050721 2015-08-31 2016-08-10 Analyse de données de compteur intelligent pour recommander la production ou le stockage d'énergie solaire WO2017035571A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2015903520A AU2015903520A0 (en) 2015-08-31 Systems and methods for retailing energy
AU2015903520 2015-08-31

Publications (1)

Publication Number Publication Date
WO2017035571A1 true WO2017035571A1 (fr) 2017-03-09

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108447184A (zh) * 2018-03-06 2018-08-24 江阴长仪集团有限公司 一种多费率费控系统及电能表
WO2020139465A1 (fr) * 2018-12-26 2020-07-02 GridX, Inc. Systèmes et procédés pour mesurer des transactions de vente en gros d'énergie à l'aide de données de mesure de vente au détail
CN118826013A (zh) * 2024-09-14 2024-10-22 四川辰鳗科技有限公司 一种综合化数据分析的微网智能调度管理系统

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US20120191351A1 (en) * 2007-02-12 2012-07-26 Locus Energy, Llc Estimating solar irradiance components from plane of array irradiance and global horizontal irradiance
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HOPPMANN, J. ET AL.: "The Economic Viability of Battery Storage for Residential Solar Photovoltaic Systems - A Review and a Simulation Model", RENEWABLE AND SUSTAINABLE ENERGY REVIEWS, vol. 39, 2014, pages 1101 - 1118, XP055365046 *
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108447184A (zh) * 2018-03-06 2018-08-24 江阴长仪集团有限公司 一种多费率费控系统及电能表
WO2020139465A1 (fr) * 2018-12-26 2020-07-02 GridX, Inc. Systèmes et procédés pour mesurer des transactions de vente en gros d'énergie à l'aide de données de mesure de vente au détail
CN118826013A (zh) * 2024-09-14 2024-10-22 四川辰鳗科技有限公司 一种综合化数据分析的微网智能调度管理系统

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