Management of the energy performance of a dwelling

Abstract

The invention relates to a computer-implemented method for managing the energy performance of a dwelling, the method comprising: providing first data representing the dwelling and second data representing a catalogue of pieces of dwelling equipment (28) able to influence energy performance; determining, on the basis of the first and second data, an arrangement of one or more pieces of equipment relative to the dwelling; computing, automatically and depending on the first and second data, one or more indicators of the efficacy of the arrangement; and displaying a visual representation (26) of the dwelling and a visual representation of at least one efficacy indicator (33, 34). This is a better way of managing the energy performance of a dwelling.

Description

ENERGY PERFORMANCE MANAGEMENT OF A HOME FIELD OF INVENTION

[0001] The present invention relates to the energy performance management of a dwelling, in particular a computer-implemented process, a computer program, and a computer system for this purpose. TECHNICAL BACKGROUND

[0002] Existing solutions for managing a home's energy performance are primarily manual. These solutions often involve determining, based on information about the home and a catalog of home energy-efficient equipment, an optimal arrangement of one or more pieces of equipment. For example, a professional might visit the home and / or ask the homeowner several questions before making the determination. The resulting arrangement is then presented, for instance, to the homeowner in a user-unfriendly way. The homeowner also finds the proposal cumbersome. Furthermore, obtaining the necessary information about the home can be time-consuming.

[0003] Therefore, there is a need for an improved solution for managing the energy performance of a home. SUMMARY OF THE INVENTION

[0004] We therefore propose a computer-implemented method for managing the energy performance of a dwelling. The method includes providing initial data representing the dwelling and secondary data representing a catalog of household equipment involved in energy performance. The method further includes determining, based on the initial and secondary data, an arrangement of one or more pieces of equipment relative to the dwelling. The method also includes automatically calculating, based on the initial and secondary data, one or more indicators of the efficiency of the arrangement. The method further includes a display of a visual representation of the dwelling and a visual representation of at least one efficiency indicator.

[0005] In examples, the catalogue includes: one or more embrasure equipment, for example including one or more doors, one or more windows, and / or one or more French doors; and / or one or more insulation equipment, for example including one or more walls, and / or one or more claddings; and / or one or more energy production equipment, for example including one or more solar panels, one or more heat pumps and / or one or more wood stoves; and / or one or more temperature control equipment, for example including one or more water heaters, one or more radiators, one or more ventilation equipment and / or one or more air conditioners; and / or one or more energy storage equipment, for example including one or more batteries; and / or one or more energy consumption control equipment, for example including a home automation station.

[0006] In examples, the process automatically performs, based on the first and second data, at least part of the arrangement determination, said at least part of the arrangement determination including an identification in the catalogue of at least one piece of equipment and / or a positioning relative to the dwelling of at least one piece of equipment, for example based on feasibility and / or energy efficiency, and optionally one or more user constraints.

[0007] In examples, said at least part of the layout determination includes the identification and / or positioning of: at least one window / door fitting based on a calculation of the dimensions of at least one window / door opening in the dwelling, and / or at least one insulation fitting based on the dimensions of at least one wall of the dwelling, and / or at least one solar panel based on an assessment of the presence of a roof on the dwelling, and optionally a calculation of the roof's solar exposure and / or the dimensions of an available space on the roof, and / or at least one radiator based on a minimum spacing relative to to a wall of the dwelling and a minimum distance from a corner of a room of the dwelling, and / or at least one water heater based on a calculation of dimensions of at least one room of the dwelling, and / or at least one heat pump based on a feasibility assessment of integrating an extraction system into the dwelling, and / or at least one air conditioning unit based on a feasibility assessment of integrating an extraction system into the dwelling.

[0008] In examples, the one or more efficiency indicators include one or more energy efficiency indicators, for example, an electricity consumption indicator and / or a greenhouse gas emission indicator.

[0009] In some examples, the visual representation of the dwelling is a 3D representation and / or incorporates a visual representation of the layout.

[0010] In some examples, the process also includes a modification of the layout, and a calculation, automatically and based on the first and second data, of one or more indicators of the effectiveness of the modified layout, the modification being carried out for example by user, for example by drag and drop.

[0011] In examples, the process includes a user input of housing information and an automatic calculation of the first data based on the housing information, optionally on the basis of one or more databases, the housing information including for example an address of the housing, a 2D plan of the housing, and / or one or more photos of the housing.

[0012] We also propose a computer program comprising program code instructions for executing the steps of the process when the program is run on a computer.

[0013] We also offer a data storage medium on which the computer program is saved.

[0014] We also propose a computer system comprising a processor coupled to a memory on which the computer program is stored. BRIEF DESCRIPTION OF THE FIGURES

[0015] Figure 1 schematically represents a computer system that can be used in examples of process implementation.

[0016] Figure 2 illustrates an example of providing a 2D plan of a dwelling.

[0017] Figure 3 illustrates an example of displaying a 3D visual representation of the dwelling.

[0018] Figure 4 illustrates an example of displaying the 3D visual representation and a visual representation of at least one efficiency indicator. DETAILED DESCRIPTION

[0019] The invention is now described in more detail and in a non-limiting manner in the following description.

[0020] The process is computerized. This means that some (or substantially all) of the steps in the process are executed by at least one computer, or by any such system, for example, any computer system. Thus, steps in the process are carried out by the computer, possibly fully automatically, or semi-automatically. In some examples, the triggering of at least some of the steps in the process can be achieved through user-computer interaction. The level of user-computer interaction required may depend on the desired level of automation and may be constrained by the need to implement user preferences. In some examples, this level may be user-defined and / or predefined.

[0021] The computer system may include a server system, for example, communicating via a network (e.g., the internet) with a client system. The computer program can then be stored on the server. The execution of the process can be controlled by the client, and the output can be displayed on the client's display system. Thus, the process can be executed by any user, for example, a consumer or a professional, communicating with the server via a network (e.g., the internet), for example, through a web browser.

[0022] Any computer system here can include a processor coupled with memory and optionally a graphical user interface (GUI), with a computer program comprising instructions being stored in memory. of program code for executing the steps of the process. Memory can also store a database. Memory refers to any computer hardware adapted for such storage, possibly comprising several distinct physical parts (e.g., one for the program, and possibly one for the database).

[0023] An example of a computer system will now be described with reference to Figure 1. The computer system includes a processor unit 1010 (CPU) connected to a computer bus 1000, and random access memory 1070 (RAM) also connected to the computer bus 1000. The computer system further includes a graphics processing unit 1110 (GPU) which is associated with video RAM 1100 connected to the computer bus. A memory device controller 1020 manages access to a memory device, such as a memory card 1030. Memory devices 1040 suitable for tangibly representing computer program instructions and data include all forms of non-volatile memory, such as semiconductor memory devices like EPROM, EEPROM, and flash memory devices.These can also be supplemented by or incorporated into specific ASICs (application-specific integrated circuits). The computer system may also include a 1090 input device and a 1080 display device.

[0024] A computer program may comprise instructions executable by a computer system, the instructions including means to direct the system to carry out the process. The program may be storable on any data medium, including system memory. The program may, for example, be implemented in digital electronic circuits, or in computer hardware, firmware, or software, or combinations thereof. The program may be implemented as a device, for example, a product tangibly represented in a memory device that can be read by a machine for execution by a programmable processor. Process steps may be carried out by a programmable processor executing a program of instructions to perform functions. The process involves handling input data and generating outputs. The processor can be programmable and coupled to receive data and instructions from, and to transmit data and instructions to, a memory device, at least one input device, and at least one output device. The program can be implemented in a high-level procedural or object-oriented programming language, or in a machine or assembly language. The language can be compiled or interpreted. The program can be a full installation program or an update program. Applying the program to the system results in instructions to perform the process.

[0025] The computer-implemented process constitutes a solution for managing the energy performance of a dwelling. By "managing" the energy performance of a dwelling, we mean the evaluation and improvement of the dwelling's energy performance.

[0026] The process includes providing initial data. This initial data represents the dwelling. The process further includes providing secondary data. This secondary data represents a catalog of household equipment involved in energy performance. The process also includes determining the arrangement of one or more pieces of equipment within the dwelling. This arrangement is determined based on the initial and secondary data. The process further includes calculating one or more efficiency indicators for the arrangement. The calculation of these efficiency indicators is performed automatically based on the initial and secondary data. The process also includes displaying a visual representation of the dwelling and a visual representation of at least one efficiency indicator. This enables improved energy performance management.

[0027] Indeed, since the layout is determined primarily based on the initial data, the layout is adapted to the dwelling. Furthermore, the process calculates one or more layout efficiency indicators based on the initial and second data points, and displays these indicators. For example, simultaneously and / or alongside the visual representation of the dwelling. This allows for an ergonomic understanding of the effectiveness of the determined layout. In some examples, the process may include recording (e.g., on non-volatile storage media) and / or printing (e.g., on paper) the determined layout (e.g., after any modifications as mentioned later), and / or physically implementing the layout in the dwelling (i.e., physically installing the layout within the physical dwelling). Recording and / or implementation can be decided based on the value of at least one effectiveness indicator. Furthermore, the calculation of one or more effectiveness indicators is performed automatically, i.e., without user intervention (except possibly to initiate the calculation). This provides a highly user-friendly process.

[0028] The dwelling can be an apartment, an apartment building, or a detached house (e.g., and optionally include a garden, e.g., also integrated into the visual representation of the dwelling). The process thus enables energy management for different types of dwellings, particularly detached houses (apartments and houses), ensuring personalized management.

[0029] The visual representation of the dwelling can be a 3D representation. This allows for a better understanding of the dwelling, as well as more ergonomic and precise interactions (in cases where the process allows for such interactions, as discussed later). Alternatively, the visual representation of the dwelling can be a 2D representation.

[0030] In some examples, the initial data might include a 2D floor plan of the dwelling. The process can identify elements of the 2D plan and perform a 3D reconstruction of the dwelling. This 3D reconstruction can then be displayed as a visual representation of the dwelling.

[0031] The visual representation of the dwelling may include a visual representation of the interior of the dwelling and / or a visual representation of the exterior of the dwelling (including facades and / or garden).

[0032] Home equipment involved in energy performance (hereafter simply referred to as "equipment") refers to any home hardware (optionally operating with software) that has a significant impact on the home's energy performance. "Significant" means that the presence of the equipment changes the home's energy consumption or production balance (e.g., annual) by more than 1%. Several examples of equipment that can be included in the catalog are provided below.

[0033] The term "catalogue" refers to any computer data representing equipment, for example one or more databases listing a set of equipment, and, for each piece of equipment, a set of respective relevant specifications.

[0034] The process aims to determine an arrangement of one or more pieces of equipment in relation to the dwelling, that is to say, a set of one or more pieces of equipment positioned in relation to the dwelling. Each piece of equipment can be positioned in the dwelling, on or against the dwelling (for example against a facade or on a roof), or at the periphery of the dwelling, that is to say in the immediate vicinity (for example in a garden of the dwelling and / or in the basement, optionally under the dwelling).

[0035] The process aims to determine such an arrangement for potential addition to the dwelling, optionally including one or more pieces of equipment within the arrangement intended to replace one or more pieces of equipment already physically present in the dwelling. In other words, the process can be used to renovate a dwelling that is already equipped, at least partially. Alternatively, the process can be used to equip a new dwelling (i.e., one that is not equipped at all). The process may aim to reduce energy consumption and / or the carbon footprint.

[0036] If the dwelling is already equipped, one or more of the efficiency indicators can represent the difference between the actual (e.g., estimated) absolute efficiency of the dwelling before renovation and the predicted (e.g., estimated) absolute efficiency of the dwelling after renovation. This allows a user to ergonomically understand the efficiency gains offered by the layout.

[0037] The visual representation of the dwelling can incorporate a visual representation of the determined layout. Thus, the layout is displayed seamlessly with the visual representation of the dwelling, allowing the user to easily understand the results of the determination and calculation. In the case of a 3D visual representation of the dwelling, one or more (e.g., all) of the layout's features can also be represented in 3D. This makes the display even more realistic.

[0038] The layout determination and the calculation of one or more efficiency indicators can be repeated. In other words, the process can include several iterations, each iteration comprising at least the layout determination step, the calculation of one or more efficiency indicators, and the display of a visual representation of at least one efficiency indicator. Throughout the iterations, the visual representation of the dwelling can continue to be displayed. Each iteration other than the first can, for example, start again from the previous iteration. The process can thus include a modification of the current layout and an automatic calculation, based on the first and second data points, of one or more efficiency indicators for the modified layout.Any modification may include the removal of one or more pieces of equipment from the layout, the addition of one or more new pieces of equipment, and / or the modification of the positioning of one or more pieces of equipment in the layout. This process allows for convergence towards an optimal efficiency result.

[0039] Any modification can be made by the user, for example, by drag and drop. Drag and drop can involve selecting a displayed item (by clicking the mouse) and then moving and dropping it within the visual representation of the dwelling to indicate its position in the layout, or moving it to another area to indicate its removal (by holding the mouse button and then releasing it at the desired location). The display can, for example, be on a graphical interface that allows such drag and drop. The selected item can be one already in the layout and therefore represented in The dwelling, or alternatively, a piece of equipment represented in another display area of ​​the graphical interface for addition to the layout. This process allows for a particularly ergonomic human-computer interaction to define an equipment layout and thus improve the efficiency of a dwelling through simple graphical iterations.

[0040] The process may include, in particular, a modification (e.g., by user) of the positioning of temperature control equipment. It is practical in the design of a residential energy solution to be able to flexibly modify the location of such equipment.

[0041] The arrangement is determined based on the first and second data points. This means that both the first and second data points are involved in this determination. Other data and / or information may also be involved.

[0042] For example, the process may include providing one or more user-defined criteria that constrain the determination. The criteria may relate to any one or any combination of the efficiency indicators. Alternatively or additionally, the criteria may relate to one or more costs (e.g., financial), for example, including an overall layout cost and / or a cost per type of equipment. Each criterion may, for example, define a maximum and / or a minimum value for each of one or more efficiency indicators and / or one or more costs. The process may also include displaying a list of metrics / inputs requested from the user and used as boundaries / limits / edges in the calculation of the efficiency indicators.The display can include, for each metric, a user-manipulable graphical object to adjust the metric's value, such as a bar with a drag-and-drop slider. This provides good usability. User-entered data could include, for example: investment range, target return on investment (ROI), electricity or gas bill reduction target, and property value increase target (considering energy efficiency improvements).

[0043] An example of an interactive graphical display might allow a user to input financial constraints that influence the arrangement. The interactive graphical display could include a bar with a slider for a constraint on an investment, a duration (e.g., investment duration), and a capital gain (e.g., target capital gain on real estate). Each bar could include a slider that can be moved and indicates the value associated with each constraint. In some examples, the user can interact with a bar and / or a slider to select the value of the associated constraint.

[0044] The process can automatically determine at least part of the layout based on the first and second data points (hereafter referred to as "automated recommendation"). The automated recommendation includes identifying at least one piece of equipment in the catalog and / or positioning at least one piece of equipment relative to the dwelling. This facilitates human-machine interaction, as the user does not have to browse the entire catalog and / or position all the equipment. The automated recommendation thus provides the user with a suggestion, which serves as at least a starting point for determining the final layout (which may eventually be installed).

[0045] The automated recommendation can be executed, for example, based on feasibility and / or energy efficiency, and optionally on one or more user constraints. In other words, the process identifies one or more energy-efficient pieces of equipment in the catalog that are installed in the home, while respecting any constraints optionally defined by the user. The suggestion may consist of a complete arrangement (i.e., identification of several pieces of equipment in the catalog and their relative positioning within the home) suggested as maximizing efficiency under the user constraints. The user can then modify this suggestion.

[0046] The automated recommendation can be implemented in any way. The process may include an actual assessment of said feasibility (e.g., via simulation) and / or effectiveness (e.g., an effectiveness calculation). and / or a step involving the user defining constraints, and / or evaluating the financial benefit. The process can also be used to train a machine learning algorithm. Repeating the process by different users allows the machine learning algorithm to refine its recommendations over time. Thus, the automated recommendation can be generated by a trained neural network or determined based on the output of such a neural network.

[0047] Thus, the various examples of the process lead to an efficient layout, requiring minimal input from the user, and therefore being particularly user-friendly. In some examples, the process might involve an initial layout recommendation as soon as the user enters an address or a 2D plan. Optionally, the user can provide further input, in which case this occurs after the first iteration.

[0048] Various examples from the catalogue, and therefore the equipment options offered, will now be described.

[0049] The catalog may include one or more window and door fittings. This may include one or more doors, one or more windows, and / or one or more French doors. Alternatively or additionally, the catalog may include one or more insulation fittings. This may include one or more walls and / or one or more claddings. Alternatively or additionally, the catalog may include one or more energy production fittings. This may include one or more solar panels, one or more heat pumps, and / or one or more wood-burning stoves. Alternatively or additionally, the catalog may include one or more temperature control fittings. This may include one or more water heaters, one or more radiators, one or more ventilation units, and / or one or more air conditioners.Alternatively or additionally, the catalog may include one or more energy storage devices. This may include one or more batteries. Alternatively or additionally, the catalog may include one or more energy consumption regulation devices. This may include a home automation system. For at least one. For each piece of equipment mentioned, the catalog may include several types, several models of the same type, several versions of the same model with different characteristics, and / or several implementations of the same version with different dimensions. These catalog examples can therefore be comprehensive.

[0050] The selection of equipment and / or its placement in the catalog may depend on the characteristics of the dwelling. For example, it may depend on the roof's shading for solar gain, the type of heating system, and / or the available space. Various examples leading to a particularly effective recommendation from a feasibility and energy efficiency perspective are now discussed.

[0051] The automated recommendation may include identifying and / or positioning at least one window or door fixture based on a calculation of the dimensions of at least one opening in the building. Thus, the process can automatically calculate opening dimensions and suggest suitable and energy-efficient fixtures (e.g., windows or doors) to the user.

[0052] Alternatively or additionally, the automated recommendation may include the identification and / or positioning of at least one insulation device based on the dimensions, nature (e.g., load-bearing wall or not), and / or composition (e.g., wall material) of at least one wall in the dwelling. Thus, the process can automatically calculate the dimensions and / or position (e.g., relative to a wall in the dwelling) of insulation devices suitable for the walls of the dwelling and suggest suitable and energy-efficient insulation devices (e.g., wall coverings, double glazing) to the user.

[0053] Alternatively or additionally, the automated recommendation may include the identification and / or positioning of at least one solar panel based on an assessment of the presence of a roof on the dwelling, and optionally a calculation of the roof's solar exposure and / or the dimensions of any available space on the roof. Thus, the process can automatically calculate Suitable locations should be identified, and solar panels should be offered to the user in areas of the dwelling (e.g., in the immediate vicinity, on the roof) where a solar panel can receive significant amounts of sunlight. In some examples, if no suitable area is identified (e.g., if the dwelling does not have a roof, garden, or illuminated courtyard), no solar panels should be offered.

[0054] Alternatively or additionally, the automated recommendation may include the identification and / or positioning of at least one radiator based on a minimum spacing from a wall of the dwelling and a minimum distance from a corner of a room. Thus, the process can automatically calculate distances (e.g., from walls), positions, and / or dimensions of radiators and suggest to the user equipment that is suitable for the dimensions of the dwelling (e.g., the rooms) and that is energy-efficient (i.e., capable of effectively heating one or more rooms).

[0055] Alternatively or additionally, the automated recommendation may include the identification and / or placement of at least one water heater based on a calculation of the dimensions of at least one room in the dwelling. Thus, the process can automatically calculate a location and / or dimensions for a water heater and suggest to the user equipment that is suitable for the dimensions of the dwelling (e.g., the rooms) and that is energy-efficient.

[0056] Alternatively or additionally, the automated recommendation may include the identification and / or placement of at least one heat pump based on the presence of, or a feasibility assessment for integrating, an extraction system into the dwelling. Thus, the process can automatically identify an area (e.g., a room) of the dwelling containing elements suitable for heat pump installation (for example, by identifying the presence of a chimney, a kitchen hood, or another extraction system in a room), and suggest suitable and energy-efficient heat pumps to the user. The process can also automatically identify if a The extraction system can be installed in the dwelling (for example, depending on the presence of a wall that communicates with the outside) in such a way that it works efficiently, so that the heat pumps offered to the user are suitable and energy efficient.

[0057] Alternatively or additionally, the automated recommendation may include the identification and / or placement of at least one air conditioning unit based on the presence of, or a feasibility assessment for integrating, an exhaust system into the dwelling. Thus, the process can automatically identify an area (e.g., a room) within the dwelling containing elements suitable for the installation of air conditioning equipment (for example, by identifying the presence of an exhaust system in a room), and suggest suitable and energy-efficient air conditioning units to the user.The process can also automatically identify whether an extraction system can be installed in the dwelling (for example, depending on the presence of a wall that communicates with the outside) so that it works efficiently, thus the air conditioning equipment offered to the user is suitable and energy efficient.

[0058] All the calculations and assessments mentioned are automated. In particular, sunlight exposure can be determined automatically using databases obtained from satellite imagery. It can also be determined that certain equipment will only be recommended based on a specific type of dwelling: for example, the process may exclude the recommendation of a heat pump for an apartment, and / or suggest only solar energy and / or only reversible air conditioning for a house.

[0059] Efficiency indicators are now being discussed. In examples, one or more efficiency indicators may include one or more energy efficiency indicators, such as an electricity consumption indicator and / or a gas consumption indicator and / or a greenhouse gas emission indicator. Specifically, one or more efficiency indicators may include CO2 emission indicators and / or an EPC (Energy Performance Certificate). This allows for a good understanding of energy efficiency. Optionally, efficiency indicators can also include financial indicators, for example: savings on energy bills (e.g. in euros), return on investment (“ROI”), initial investment, and / or property value increase.

[0060] Calculations for a heat pump (or calculations of indicators using a heat pump) can take into account room size and the possibility of external ventilation. Calculations for a wood-burning stove can take into account room size (e.g., living room) and the living room's location relative to the bedrooms. Calculations for a radiator can take into account room dimensions and the location of heat leaks.

[0061] The process may include displaying a heat map or heat dissipation map integrated into the visual representation of the dwelling. This assists the user in potentially modifying the layout. The modification can, in fact, be based on the displayed map and aim to reduce heat dissipation.

[0062] The process may involve user input of property information and automatic calculation of initial data based on that information. This automatic calculation may optionally be based on one or more databases. Property information may include, for example, the property address, a 2D floor plan, and / or one or more photographs of the property. The information may relate to the interior and / or exterior of the property.

[0063] In one example, the information entered by the user might include a home address (e.g., postal address). The user can enter the address manually. The process can then search one or more databases for information about the home (e.g., location, size, internet access, presence of chimneys, floor plan). The databases can be located in one or more computer systems (e.g., in systems communicating within a network or on the computer used by a user performing the process). The search can be automatic (without user intervention other than to launch the search). Thus, initial data enabling a 3D reconstruction of the dwelling can be calculated from the address and / or allow for more precise calculations of efficiency indicators.

[0064] The databases can include satellite maps, urban environment scan maps (e.g., LiDAR maps), and car-based imagery maps (such as Google Street View™ or Bing Street View™). User photos can be used to determine the layout of the home's windows and thus accurately calculate heat dissipation. Efficiency indicator calculations may depend on the home's dimensions.

[0065] The process can drastically reduce the number of questions asked of the user compared to current questionnaires (ranging from 20 to 200), for example to fewer than 10, thanks to features such as automated 3D modeling, automated database querying, and machine learning. In some examples, the process can present the user with an initial suggestion requiring only the postal address and a floor plan.

[0066] Figures 2-4 illustrate an example of implementation of the process controlled by a user manipulating a graphical interface 22, which includes for example a toolbar 24 for interaction and commands.

[0067] Figure 2 shows the provision of initial data in the form of a 2D floor plan of a dwelling. The process automatically generates a 3D visual representation of the dwelling, along with a recommended layout of equipment. The process also automatically calculates one or more layout efficiency indicators.

[0068] Figure 3 shows the display by interface 22 of the 3D visual representation 26 integrating the layout, and the simultaneous and side-by-side display in a display area 32 of an electrical consumption indicator 33 and a greenhouse gas emission indicator 34. As can be seen in the figure, the layout includes a water heater 28.

[0069] Figure 4 shows the user manipulating a cursor 30 to interact with the water heater 28, for example, to move it within the drag-and-drop arrangement. Indicators 33 and 34 can be updated automatically.

[0070] The process thus allows, through iterations, to determine an optimal arrangement from an energy performance point of view.

[0071] In some examples, the process may include the automatic extraction of one or more input parameters for calculating one or more efficiency indicators. For instance, the automatic extraction of one or more input parameters may involve automatically extracting them from one or more floor plans of the dwelling. These input parameters may include living area, house shape, wall area, floor area, number of windows, number of levels, number of habitable floors, and / or number of rooms. Thus, the process may involve providing one or more input parameters to perform the calculation of one or more layout efficiency indicators. This improves the accuracy of the calculation of the efficiency indicators.

[0072] In some examples, the calculation of one or more layout efficiency indicators may include a calculation using the 3CL method (acronym for "Calculation of Conventional Dwelling Consumption," for example, version 14, i.e., "3CL-V14 method") or any other equivalent method. The process may, in particular, follow the 3CL-V14 method as described at the following URL as of the date of this application: https: / / www.socotec-certification-international.fr / files / 42 / Diagnostic-de-Performance-Energetique-(DPE) / 152 / Algorithmes-de-la-methode-3CL-V14-.pdf. The content of this URL is incorporated herein by reference.

[0073] In cases where the calculation of one or more layout efficiency indicators includes a calculation based on the 3CL-V14 method, the one or more input parameters provided may correspond to the following parameters of the 3CL-V14 method: the "living area (m²)" 2 ): SH » global and the « surface habitable (m 2 ): SHi for each room i, and / or the number of levels (1; 1.5; 2; 2.5; 3), and / or the shape (compact; elongated; developed), and / or the large glazed area facing south (more than l / 9Sh oriented between southeast and southwest, without obstruction), and / or the wall area (if unknown = f(party wall; SH; shape; HSP; level)): Smuri, and / or the ground floor area (if unknown = f(SH; level)): Splancheri, and / or the window area (m 2 ) in a table: Sfenêtresi”, and / or the “% of air-conditioned surface area”.

[0074] In some examples, the process may involve providing one or more pieces of information about the layout of the rooms in the dwelling. In this case, the automatic extraction may include the automatic retrieval of one or more pieces of information about the room layout. Providing one or more pieces of information about the room layout allows for more relevant equipment recommendations.

[0075] In some examples, the process may involve suggesting one or more pieces of equipment based on one or more pieces of information about the layout of the rooms in the dwelling. For example, the process may include suggesting a heat pump when the layout of the rooms allows for nearby exhaust ventilation, and / or a number of radiators based on the size and / or layout of one or more rooms. Recommending equipment based on room layout information allows for the selection of more suitable heating and / or cooling equipment, for example, based on size, location within the room, and / or the number of units.

[0076] An embodiment of the process will now be discussed in which the process includes user input of information about the dwelling and automatic calculation of initial data based on that information. In this embodiment, the information about the dwelling includes a 2D plan of the dwelling, and the process uses this 2D plan to produce an improved result.

[0077] The process in this embodiment may also include additional information about the dwelling, such as the address and / or one or more photos of the dwelling, as described previously. The automatic calculation of the initial data (e.g., including the 2D plan and / or any other such additional information) can be based on one or more databases, as described previously. In particular, the 2D plan can be retrieved from a database of 2D plans, for example, by the user entering information that allows the 2D plan to be found.For example, the method may include user input of the address of the dwelling, and / or automatic determination of the address based on photographs (e.g., using a database of satellite images associated with addresses), and the method may automatically retrieve the 2D plan from a database where 2D plans are each associated with a specific address. Alternatively or additionally, the method may include enriching the 2D plan, for example, by the user and / or automatically (e.g., based on photographs). This enrichment may include adding, deleting, or editing (e.g., repositioning and / or resizing) a window on the 2D plan. Optionally, the method in this embodiment may identify elements of the 2D plan and perform a 3D reconstruction of the dwelling, as described above.The process in this embodiment can be performed with an interface as illustrated in Figures 2 to 4, Figure 2 showing an example of the 2D plan 20, as described previously. Alternatively or additionally, the process can include an enhancement as described above, but directly on the 3D reconstruction of the dwelling.

[0078] In this embodiment, the automatic calculation of the initial data includes an automatic calculation of the living area of ​​each room based on the 2D plan (e.g., the calculation is performed directly on the 2D plan, or alternatively on the basis of the 3D reconstruction). Thus, the 2D plan provides a detailed understanding of the living areas relevant to the process, namely the living areas room-by-room. This contrasts with existing solutions, which are based solely on the overall living area of ​​the dwelling.

[0079] In particular, the one or more efficiency indicators may include one or more energy efficiency indicators (for example, from those described above, i.e., an electricity consumption indicator and / or a gas consumption indicator and / or a greenhouse gas emission indicator). In this case, the automatic calculation of the one or more energy efficiency indicators may be performed room by room based, for each room, on the living area of ​​the room. The process may perform this calculation based on any automatic energy efficiency calculation method for dwellings, for example, any known method (e.g., the 3CL method in version no. 14, i.e., 3CL-V14), except that the dwelling may comprise several rooms, and the method is applied to each room (e.g.independent of the others), the results obtained room by room are then combined (for example by an average, the average being weighted according to the share of the living area of ​​the room in the overall living area of ​​the dwelling).

[0080] Therefore, knowing the dwelling and, in particular, the surface areas of all the rooms (extracted from the 2D plan) allows for a more precise calculation in the 3CL method, since the parameters SH1, SH2, SH3, etc. (living area of ​​room 1, room 2, room 3, etc.) are known. This contrasts with current 3CL calculations, where the parameters provided by the user are currently limited to SH (total living area of ​​the dwelling).

[0081] In particular, the layout may include several rooms and for each room, exactly one heating unit (i.e., radiator), and the process allows for automatic calculation of the consumption of each radiator, for example according to the following formula provided by the 3CL-V12 method: Cch_i P cs=SHi / SH x Bch x IchJ, where Cchjpcs is the consumption of the radiator of room i, SHi is the living area of ​​room i (calculated automatically on the basis of the 2D plan in this embodiment of the process), and SH is the total living area of ​​the dwelling (Bch and IchJ being defined in the 3CL method).

[0082] Thanks to this, if the catalog includes several radiators (including radiators of different sizes, i.e., with different heating capacities), the process can automatically identify and / or position at least one radiator for at least one room (for example, each room in the house) based on its energy efficiency for the room (e.g., this energy efficiency can be calculated automatically as described above). The "identification and / or positioning of at least one radiator" can include determining whether or not it is useful / advisable to install one or more radiators in the room, determining one or more models (each with a respective size) suitable for the room (e.g., to be suggested to the user), and / or determining a position for one or more radiators within the room (e.g., to be suggested to the user).

[0083] Thus, knowing the room dimensions (thanks to the 2D plan) allows for precise sizing of the heating system room by room. This sizing can be calculated from the volume. The process can involve determining the room's volume based on its horizontal dimensions according to the 2D plan and its height, i.e., volume = Length x Width x Height. The height can be provided elsewhere, for example, through 3D reconstruction, based on photos, and / or not entered by the user. In prior art solutions, the volume calculation is performed at the level of the entire dwelling and is an average: Area x Height. In a dwelling with very large rooms, the process allows for precise calculation of the necessary heating sizing and therefore, for example, helps determine whether two units with average efficiency are needed rather than one with high efficiency.

[0084] The process can automatically position at least one radiator under a window in at least one room, based on a 2D plan. The window's position can be determined by the process using the 2D plan. Optionally, the positioning can be based on the window's distance from a wall. For example, the process can position a radiator under a window if it determines that the distance of the window from a wall is greater than a predetermined threshold (i.e. the distance is sufficient for positioning under the window to be sensible).

[0085] Alternatively or additionally, the calculation of at least one layout efficiency indicator may include an automatic calculation of the area heated by at least one radiator based on the 2D plan. If the radiator is positioned under a window, the calculation of the heated area may be based on the distance of the window from a wall. Specifically, the heated area may be constrained to exclude the wall area from this calculation.

[0086] Indeed, heating equipment is usually positioned under a window. In the case of a window close to a wall, the 2D plan allows for more precise calculations of the heated area: a radiator placed against / near a wall only heats half of the surface (e.g., because heating the area of ​​the wall is not supposed to be taken into account, for example in the 3CL calculation).

[0087] The catalog may (e.g., in addition) include several air conditioners (i.e., air conditioning units). In this case, the process can automatically identify and / or position at least one air conditioner for at least one room, based on the 2D plan. This can be done according to the same principles as the "identification and / or positioning of at least one radiator," that is, room by room.

[0088] Furthermore, the room layout allows for a more precise calculation of the air-conditioned area per unit, since the surface areas of all rooms are known. The process can calculate the following parameters with greater accuracy: Sclim (the surface area of ​​the air-conditioned dwelling) and Rclim (the coefficient that depends on the cooling area and the climate zone). These parameters can be as defined in the 3CL method, for example, V14.

Claims

DEMANDS 1. A computer-implemented method for managing the energy performance of a dwelling, the method comprising: providing first data representing the dwelling and second data representing a catalogue of equipment (28) for the dwelling involved in energy performance; determining, on the basis of the first and second data, an arrangement of one or more pieces of equipment relative to the dwelling; calculating, automatically and as a function of the first and second data, one or more indicators of the efficiency of the arrangement; and displaying a visual representation (26) of the dwelling and a visual representation of at least one indicator of efficiency (33, 34).

2. A method according to the preceding claim, wherein the method comprises a user input of information relating to the dwelling and an automatic calculation of the first data based on the information relating to the dwelling, optionally on the basis of one or more databases, the information relating to the dwelling comprising, for example, an address of the dwelling, a 2D plan (20) of the dwelling, and / or one or more photos of the dwelling.

3. Method according to the preceding claim, wherein the information relating to the dwelling includes a 2D plan (20) of the dwelling and the first data includes, for each room of the dwelling, a living area, the automatic calculation of the first data including an automatic calculation of the living area of ​​each room according to the 2D plan.

4. A method according to the preceding claim, wherein the one or more efficiency indicators comprise one or more energy efficiency indicators, the automatic calculation of the one or more efficiency indicators energy assessment being carried out room by room based, for each room, on the living area of ​​the room.

5. A method according to one of the two preceding claims, wherein the catalogue includes several radiators, and the method automatically performs, for at least one room, an identification and / or positioning of at least one radiator according to an energy efficiency for the room.

6. Method according to the preceding claim, wherein the method automatically performs, for at least one room, a positioning of at least one radiator under a window on the basis of the 2D plane, for example as a function of a distance of the window from a wall.

7. A method according to one of the two preceding claims, wherein the calculation of at least one arrangement efficiency indicator includes an automatic calculation of a surface heated by at least one radiator on the basis of the 2D plan.

8. A method according to any one of claims 4 to 7, wherein the catalogue includes several air conditioners, and the method automatically performs, for at least one room, an identification and / or positioning of at least one air conditioner on the basis of the 2D plan.

9. A method according to any one of the preceding claims, wherein the catalog comprises: one or more opening components, for example including one or more doors, one or more windows, and / or one or more French doors; and / or one or more insulation components, for example including one or more walls, and / or one or more claddings; and / or one or more energy production components, for example including one or more solar panels, one or more heat pumps, and / or one or more wood-burning stoves. wood; and / or one or more temperature control devices, for example including one or more water heaters, one or more radiators, one or more ventilation devices and / or one or more air conditioners; and / or one or more energy storage devices, for example including one or more batteries; and / or one or more energy consumption control devices, for example including a home automation station.

10. A method according to any one of the preceding claims, wherein the method automatically performs, based on the first and second data, at least a part of the arrangement determination, said at least a part of the arrangement determination comprising an identification in the catalogue of at least one piece of equipment and / or a positioning relative to the dwelling of at least one piece of equipment, for example based on feasibility and / or energy efficiency, and optionally on one or more user constraints.

11. A method according to the preceding claim, wherein said at least a part of the arrangement determination comprises an identification and / or positioning of: at least one window / door fitting based on a calculation of the dimensions of at least one window / door opening of the dwelling, and / or at least one insulation fitting based on the dimensions of at least one wall of the dwelling, and / or at least one solar panel based on an assessment of the presence of a roof on the dwelling, and optionally a calculation of the roof's solar exposure and / or the dimensions of an available space on the roof, and / or at least one radiator based on a minimum spacing from a wall of the dwelling and a minimum distance from a corner of a room in the dwelling, and / or at least one water heater based on a calculation of the dimensions of at least one room in the dwelling,and / or at least one heat pump, depending on a feasibility assessment of integrating an extraction system into the dwelling, and / or at least one air conditioning unit, depending on a feasibility assessment of integrating an extraction system into the dwelling.

12. A method according to any one of the preceding claims, wherein the one or more efficiency indicators include one or more energy efficiency indicators, for example an electricity consumption indicator (33) and / or a greenhouse gas emission indicator (34).

13. A method according to any one of the preceding claims, wherein the visual representation of the dwelling is a 3D representation and / or incorporates a visual representation of the layout.

14. A method according to any one of the preceding claims, wherein the method further comprises a modification of the arrangement, and a calculation, automatically and according to the first and second data, of one or more indicators of the effectiveness of the modified arrangement, the modification being carried out for example by the user, for example by drag and drop.

15. Computer program comprising program code instructions for executing the steps of the process according to any one of the preceding claims when the program is executed on a computer.

16. Data storage medium on which a computer program according to the preceding claim is recorded.

17. Computer system comprising a processor coupled to a memory on which a computer program according to the preceding claim is stored.