Benoit Delinchant

Grenoble Institute of Technology | Grenoble INP · Department of Electrical and Computer Engineering

The proliferation of sensors in buildings has given us access to more data than before. To shepherd this rise in data, many open data lifecycles have been proposed over the past decade. However, many of the proposed lifecycles do not reflect the necessary complexity in the built environment. In this paper, we present a new open data lifecycle model...

This study presents a novel approach to simplify the dynamic life cycle assessment (DLCA) of buildings by identifying and prioritizing influential dynamic parameters (DPs) to improve building energy performance and reduce greenhouse gas emissions. Current life cycle assessment (LCA) methodologies lack temporal considerations, which can significantl...

The increased use of intermittent renewable energy sources makes the use of machine learning methods combined with demand-side management more and more frequent. Machine learning algorithms rely on data to identify patterns and learn insights. Hence, data availability is of utmost importance, and the more, the merrier. Therefore, this data report a...

The aim of this article is to introduce COFFEE, a concept of open and collaborative platform in the field of electrical engineering. The platform intends to make energy research accessible, and improve collaborations between researchers, public authorities, design offices and citizen collectives. The COFFEE concept is presented supported by a liter...

To increase the share of intermittent renewable energy in our production mix, occupants of buildings can be called upon to lower, anticipate or postpone their consumption according to the network balance. This article presents a small-scale field experiment aimed at introducing demand response in the workplace. We test the impact of load-shedding s...

The energy transition is a multidisciplinary challenge that warrants solutions that are robust and sustainable. Energy flexibility, one of the key pillars of the energy transition, is an umbrella term that covers multiple innovative solutions implemented at all levels of the electric grid to ensure power quality standards, amongst other objectives....

Since the electrical grid creation, assessing the electricity demand is essential as we need to match the energy production/demand at all times. Load analysis is essential in improving the reliability and efficiency of the grid. Beside regular human activities, the main impact factor which explains consumption variations is the outside temperature....

The purpose of this article is to introduce two indicators designed to evaluate and consequently influence the indirect emissions related to the operation of an EV. The first indicator, denoted as “Electric Vehicle CarbonFlex Potential” indicator, evaluates an EV's maximum and minimum achievable carbon emissions using an optimization approach and c...

Buildings with solar rooftops have become vital objects in the energy transition in Vietnam. In this context, the demand for research on energy management solutions to use energy efficiently and increase PV energy absorption capacity is rising. In this paper, we present a practical route to developing a low-cost monitoring platform to meet the buil...

In the design context of Near-Zero Energy Buildings (nZEBs) and smart cities, robust and versatile optimization methods are needed to be coupled to simulation tools. In this way, the paper presents optimization algorithms coupled to a software with a capability to precisely simulate solar radiation availability by using a graphical pixel counting t...

Following the recent European directives highlighting the need to increase energy efficiency in the European Union, this work aims to show the possibility of using Non-Intrusive Load Monitoring (NILM) techniques to improve energy audits by estimating the compressed air leakage from a dataset of a tertiary building. The first step towards the reduct...

The building sector is responsible for 50% of worldwide energy consumption and 40% of CO2 emissions. Consequently, a lot of research on Building Energy Efficiency has been carried out over recent years, covering the most varied topics. While many of these themes are no longer of interest to the scientific community, others flourish. Thus, reading t...

Buildings play a central role in energy transition, as they were responsible for 67.8% of the total consumption of electricity in France in 2017. Because of that, detecting anomalies (outliers) is crucial in order to identify both potential opportunities to reduce energy consumption and malfunctioning of the metering system. This work aims to compa...

Home Automation (HA) has a long history becoming Smart Home (SH) or Smart Building (SB) when human-to-machine and machine-to-machine communications are able to turn each Things into a global system that is able to interact and make decisions. Based on European directives, energy-efficient technologies are one of the main levers of its development....

Energy modelling is key in order to face the challenges of energy transition. There is a wide variety of modelling tools, depending on their purpose or study phase. This article summarises their main characteristics and highlights ones that are relevant when it comes to the preliminary design of energy studies at district scale. It introduces OMEGA...

Cities take a central place in today’s energy landscape. Urban Buildings Energy Modeling (UBEM) is identified as a promising approach for energy planning and optimization in cities and districts. It generally relies on the use of Building Archetypes, i.e., simplified deterministic models for categorized building typologies. However, this implies la...

The building sector is responsible for 51% of the electricity consumed in Brazil, and about 10% of the total greenhouse gas emissions. These numbers continue to grow , despite significant efforts made by the government to promote the adoption of building energy efficiency (BEE) technologies, which have not been widely adopted due to barriers. A sys...

To maintain energy balance in the grid, energy flexibility is entailed at consumer side. Generally, the participants of demand response experiments are offered economic incentive with historic or normative feedback on their energy consumption. In this article, we present an energy flexibility experiment concerning residential sector, which is based...

Accurate indoor temperature forecasting can facilitate energy savings of the building without compromising the occupant comfort level, by providing more accurate control of the HVAC (heating, ventilating, and air conditioning) system. In order to make the best use of different input variables, a long short-term memory (LSTM) based sequence to seque...

The building sector has played an important role in energy consumption over the last few decades, demanding actions to decrease it. A way to reach this goal, without affecting the occupants’ welfare, is the adoption of building energy-efficient (BEE) technologies. There are several of these technologies available, bringing lots of benefits. However...

A significant solution to achieve energy efficiencies and stability of the electrical network is upgrading auto-consumption in a single PV system. In this paper, we presented a methodology to implement low-cost sensors and actuators to have better monitoring and control for a feasibility solution. This approach has been conducted through a case stu...

For several years, Model Predictive Control (MPC) is depicted in the literature as a promising way to increase buildings’ energy efficiency during operation. This model-based control technique uses the optimal control theory to provide a constraint compliant, anticipative control, maximizing performance criteria. However, building and calibrating a...

Energy planning at the neighborhood level is a major development axis for the energy transition. This scale allows the pooling of production and storage equipment, as well as new possibilities for demand-side management such as flexibility. To manage this growing complexity, one needs two tools. The first concerns modeling, allowing exhaustive simu...

Building is one of the most consuming sector with 5 MWh per person per year. Building energy efficiency is already addressed by countries policies but is still a topic of research. In our paper, we are addressing a new way of improving energy consumption in building, based on Internet of Things (IoT). IoT is synonymous of increase of the amount and...

Among renewable energies that play a critically important role to achieve a sustainable development in the future, solar photovoltaic (PV) power have been growing dramatically recently. Despite the enormous potential of solar PV, its drawback, which is intermittent in generation, imposes a significant issue on electrical system, such as stability o...

Purpose The thermal modelling of an electrical machine is difficult because the thermal behavior depends on its geometry, the used materials and its manufacturing process. In the paper, such a thermal model is used during the sizing process by optimization of a hybrid electric vehicle (HEV). This paper aims to deal with the sensitivities of thermal...

Among renewable energies that play a critically important role to achieve a sustainable development in the future, solar photovoltaic (PV) power have been growing dramatically recently. Despite the enormous potential of solar PV, its drawback, which is intermittent in generation, imposes a significant issue on electrical system, such as stability o...

Renewable energies play a critically important role to achieve a sustainable development in the future, therefore a large number of researches on renewable energy integrated systems have been conducted for decades. Among those, a stand-alone system demonstrates a fully independent system which is powered only by renewable energies. In my internship...

This paper investigates the impact of load shedding strategies on a block of multiple buildings. It particularly deals with the quantification of the factors i.e., peak shaving, occupants’ thermal comfort or CO 2 emission reduction and how to quickly quantify them. To achieve this goal, the paper focuses on a new residential district, thermally fed...

This paper investigates how blocks of buildings could fit into load shedding strategies. It focuses in particular on what could be the effects on peak shaving, occupants’ thermal comfort or CO2 emissions reduction and how to quickly quantify them. To achieve this goal, we focused on a new residential district, thermally fed by heat pumps. Four mode...

Renewable energy resources are becoming more and more important for the electricity production regarding the security problem of nuclear energy and the limit of fossil fuels. Among the renewable resources, solar power is an interesting candidate for buildings that are the biggest consumers of the electrical grid. Indeed, integrating photovoltaic po...

Building thermal modelling plays an important role in managing the thermal comfort and the energy consumption of buildings. A major challenge for modellers is how to deal with uncertainty problems in order to have a robust model with an acceptable computational time for the improvement of predictive control. This paper presents a methodology which...

Purpose This paper presents two mathematical models to solve the Energy Management problem of a building microgrid. In particular, it proposes a deterministic Mixed Integer Linear Programming and Non-Linear Programming formulations. This article focuses on the modelling process and the optimization performances for both approaches regarding optima...

Purpose Life cycle analysis (LCA) is more and more used in the context of electromagnetic product design. But it is often used to check a design solution regarding environmental impacts after technical and economical choices. This paper aims to investigate life cycle impact optimization (LCIO) and compare it with the classical life cycle cost opti...

The big challenge for the 21th century is to decrease fossil energy use and to increase renewable energies in the framework of the climate constraint. The paper will show that smart buildings, connected to smart grids, can significantly contribute to this objective. Indeed, buildings are, on one side, the biggest consumers of energy in the electric...

A new methodology for optimization using parametric reduced order models is introduced. An adaptive scheme to place the expansion points in the reduction step is combined with a smart parametric space sampling in the optimization step to produce very reliable reduced order models. The methodology is illustrated in a demonstrative electromagnetic pr...

Building is responsible for more than 40 percent of energy consumption and one-third of greenhouse gas emissions. Europe has established the path towards nearly zero-energy buildings (nZEB), soon required in every new construction and large renovation in existing buildings by 2020. Achieving nZEB required the use of photovoltaic modules for generat...

The most energy in buildings is used for space cooling and heating. Thus, the thermal analysis is necessary to reach thermal comfort and energy efficiency in buildings. In this paper, we present a thermal envelope modeling based on thermal-electrical analogy for thermal behavior simulation. The research object is a real platform inside our laborato...

Thermal comfort is a subjective concept, which describes a person's state of mind in terms of whether he/she feels hot or cold. The thermal comfort feeling is influenced by environmental and personal factors. Its most commonly used indicator is the air temperature, which, alone, is not a valid indicator of thermal stress. Thermal comfort should be...

This paper presents multi-physics modeling and optimization to design buildings by simultaneously treating the thermal comfort and the total cost (CAPES/OPEX). It focuses on real situations of the design of buildings in which it is required to use real components (Material Database) and to resolve the mixed continuous discrete optimization problem....

Le projet ANR COSIMPHI (CO-Simulation Multi-Physique Interactive - ANR-13-VBDU-0002) s’intéresse à la question de la modélisation multi-physique par la co-simulation pour concevoir des bâtiments en traitant simultanément les ambiances acoustique, visuelle et thermique ainsi que l’efficacité énergétique, environnementale et économique. Cette approch...

This study presents a mathematical model of lithium-ion (Li-ion) batteries in the energy management (EM) problem of a microgrid (MG). In this study, the authors develop a detailed model of Li-ion batteries that considers the degradation cost associated with operation, controllable and uncontrollable charging ramps, other limits, and the operating c...

Residential and commercial buildings represent a substantial load for electric energy systems. Being the HVAC comfort system of a building an important energy load, its optimization is fundamental for energy-efficient buildings. The literature, supported by theoretical models and simulations, has reported that ceiling fans can save energy when corr...

This article addresses the estimation of the Sobol index for static and dynamic inputs. We study transformations in the input, whose image is an input with independent components. They have the basic property to give the equality of the σ-algebra between a subset of inputs and their image that allows to compute the Pick and Freeze method. We first...

This paper is about system simulation and co-simulation issues such as interoperability. The Functional Mock-up Interface (FMI 1 ) which is proposed as an interoperability standard has been studied in the field of the building energy systems to make an effective co-simulation of different models with heterogeneous time constants. A chaining algorit...

1 Abstract We address the estimation of Sobol indices of sensitivity for an input-output system Y = η(X) when the components of X are dependent. Usual estimation methods of Sobol indices are based on the fact that the input variables are independent. We present first in this paper a method to overpass this constraint for Gaussian processes of high...

The piezoelectric polymers are increasingly considered as favorable materials for microelectromechanical systems due to their fast response, low operating voltages, and greater efficiencies of operation. However, the difficulty of forming structures and shapes has so far limited the range of electromechanical design. The possibility of using interd...

In building energy management, the electrical storage is important to ensure power supply continuity and reduce the cost of electrical consumption. Therefore, an electrochemical battery model is highly recommended for our main objectives, which can contribute to simulate the impact of electrical storage in the building. In our framework, we have de...

p>Ce papier propose de donner un statut, et un outil, aux phases de conception initiale, dans lesquelles les caractéristiques principales du système énergétique utilisant l'énergie électrique doivent être esquissées. Nous proposons ainsi, d'utiliser un type de modèle adapté (modèle macroscopique et statique basé sur des bilans énergétiques et finan...

Purpose – The purpose of this paper is to make easily accessible models to test and compare the optimization algorithms we develop. Design/methodology/approach – For this, the paper proposes an optimization framework based on software component, web service, and plugin to exploit these models in different environments. Findings – The paper illust...

Research and development in the fields of building technologies and community energy systems have caused in recent years a transition away from stand-alone components towards dynamically interacting systems. However, the precise modeling and simulation of such complex cyber-physical systems proves challenging for the established simulation tools. T...

This paper address sensibility theory for dynamic models, linking correlated inputs to observed outputs. Usual estimation methods of Sobol indices are based on the fact that the input variables are independent. We present in this paper a method to overpass this constraint for Gaussian processes of high dimension in a time related framework. A gener...

To improve interoperability between system-level modeling and simulation, this paper proposes an approach to export models from dedicated magnetic tools into a standardized format, such as Very-high-speed integrated circuits Hardware Description Language-Analog and Mixed Signal (VHDL-AMS), as a powerful modeling language. The goal is to let designe...

This paper addresses sensitivity analysis for dynamic models, linking dependent inputs to observed outputs. The usual method to estimate Sobol indices are based on the independence of input variables. We present a method to overpass this constraint when inputs are Gaussian processes of high dimension in a time related framework. Our proposition lea...

This article proposes a new method to solve non-linear magnetostatic problems applied to the modeling of electromagnetic devices. A reduced scalar potential formulation is presented and solved by a hybrid BEM-NRM. It has been implemented and tested in a software called MaGot. We will show that the computation time of this new method is very low. Th...

This paper deals with an interoperability solution based on co-simulation that ensures tools collaborative working for building’s global simulation. The proposed solution couples two specialized tools from different domains and characterized by different modelling approaches in order to simulate a low energy building. A dynamic thermal envel...

In building energy management, the electrochemical battery is important to ensure power supply continuity and reduce cost of electrical consumption. Therefore, an electrical model of battery is highly recommended for our main objectives, which can contribute to simulate the impact of electrical storage in the building. In this paper, we present the...

In this paper, we give an overview of an on-going research work aiming at assessing the benefits that could be drawn from applying advanced software engineering techniques - namely model-driven architecture, component-based approaches and model-based system engineering - To support building life cycle tasks (especially design ones) which entail mak...

The optimal building management models require predicting the behaviour of building systems. To achieve this goal, we propose to make available on the web remote computing services for the composition, simulation and optimization of equipments. A paradigm shift is necessary in order to fulfil this goal. We show in this study that models can be embe...

This paper deals with an original design methodology of permanent-magnet synchronous machines using multistatic reluctance-network (RN) modeling. Traditionally, RN models are based on using d -q axis components in order to calculate the fundamental values of the torque and the back-electromotive force (emf). In this study, the RN permits an angular...

The paper deals with the dynamic modeling of mechatronic devices, which usually need detailed modeling to be described and to take into account the physical properties of the VHDL-AMS, which is a powerful unified modeling language for mixed system, allows to describe a large range of physical systems, for their dynamic simulation. It allows to desc...

Passive magnetic gravity compensation may be a very feasible alternative to the more commonly used mechanical or pneumatic solutions for vibration isolation systems. This paper presents a study on the optimal design of an ironless magnetic spring, or gravity compensator, with a horizontal airgap and unequally sized magnet arrays. Its envisaged appl...

The CADES framework: example of a new tools approach The system approach: a break from standard tools Components ensuring interoperability around a framework Some calculation modeling formalisms for optimization The principles of automatic Jacobian generation Services using models and their Jacobian Applications of CADES in system optimization Pers...