Mathieu Vallée

Atomic Energy and Alternative Energies Commission | CEA · Institut National de l’Énergie Solaire (INES)

Substation fouling (SF) is a prevalent issue in district heating and cooling substations, which can significantly impact their performance and energy efficiency. In this study, we propose an accurate deep learning-based fault detection algorithm specifically designed for SF in district heating and cooling substations. Our algorithm utilizes artific...

Background Heating and cooling in buildings represents a significant amount of the energy demand in the EU, but the market penetration of renewable solutions is still marginal. The SunHorizon project aims at proving the viability and benefits of innovative coupling between heat pumps and various advanced solar panels. Methods This study focuses on...

Background : Heating and cooling in buildings represents a significant amount of the energy demand in the EU, but the market penetration of renewable solutions is still marginal. The SunHorizon project aims at proving the viability and benefits of innovative coupling between heat pumps and various advanced solar panels. Methods : This study focuses...

This article compares the robustness of the optimal choice of technologies for two Smart Energy Systems architectures at district level, illustrated by a case study representative of a newly built district in Grenoble, France. The electricity-driven architecture relies on the national electric grid, decentralized photovoltaic panels and decentraliz...

All technical processes are subject to dysfunctions during their lifespan, and large solar thermal systems (LSTS) are no exception to this rule. The development of robust fault detection and diagnosis (FDD) methods is therefore a key issue. This paper reports on a review of faults types that can affect LSTS as well as the current approaches to dete...

This paper presents and demonstrates, by numerical simulation, a Mixed-Integer Linear Programming (MILP)-based Model Predictive Control (MPC) strategy for space-heating demand in buildings connected to a district heating system. The proposed MPC deals with space-heating demand with extended flexibility. It exploits thermal inertia, inherently prese...

In this paper, we present a novel research software, called PEGASE, suitable for the design, validation and deployment of advanced control strategies for complex multi-domain energy systems. PEGASE especially features a highly efficient co-simulation engine, together with integrated solutions for defining both rule-based control strategies and Mode...

This paper presents a control-oriented reduced-order building model intended for optimal management of space-heating demand in district heating systems. The model structure is based on the conclusions of a preliminary study evaluating the impact of the internal mass and the heating circuit inertia on short-term thermal dynamics of buildings. The mo...

This study focuses on operational control strategies for a multi-energy District Heating Network (DHN). Two control strategies are investigated and compared: (i) a reactive Rule-Based Control (RBC) and (ii) a Model-Predictive Control (MPC). For the purpose of the study a small scale district heating network is modelled using Modelica. The productio...

The increasing penetration of wind and solar electricity becomes challenging for grid operators. Interconnecting electrical and thermal networks through the Power-to-Heat concept brings flexibility to the electrical grid while supplying a significant renewable source to District Heating (DH). In the present paper, we study a DH production plant com...

Thermal solar energy is one of the promising cleaner ways to produce heat. In particular, large scale solar thermal systems (LSTS) can produce low-cost heat for use in district heating networks or industrial processes. However, return on investment is based to long-term reliable operation, and automatically detecting dysfunctions is desirable in th...

The present paper synthetizes four years of research conducted by our team in collaboration with CCIAG, the operating company of the Grenoble large scale district heating network. This research focused on the design of a model predictive controller that optimizes the distribution of heat by an appropriate scheduling of supply temperatures and diffe...

This work contributes to the development of a multi-vector flexibility management platform, combining electric, heat and gas optimization at district level. The multi-vector flexibility management platform will be validated both experimentally and by simulation, on a set of demonstration scenarios. Each scenario refers to an eco-district topology w...

As all industrial processes, large solar thermal systems (LSTS) are subject to dysfunctions. Fault detection and diagnosis (FDD) methods are thus required to ensure a good return on investment. To develop such methods, one of the main prerequisites is a good knowledge of the effect of a fault on the behaviour of the system. This paper presents a ge...

This paper presents the development of a new advanced control method suitable for variable temperature District Heating Systems (DHS). The proposed controller determines optimal planning for the on/off status and power of the heat generators as well as for the supply temperature and differential pressure at the production plant level. Compared to e...

All technical processes are subject to dysfunctions during their lifespan, and large solar thermal systems (LSTS) are no exception to this rule. The development of robust fault detection and isolation (FDI) methods is therefore a key issue. This paper presents a comparison between what can be used and what is currently used for FDI in LSTS. We show...

All technical processes are subject to dysfunctions during their lifespan, and large solar thermal systems (LSTS) are no exception to this rule. In order to deal with them and minimize their impact, a good knowledge of dysfunctions affecting LSTS is a major issue. In this way, the return on investment can be increased and the competitiveness of sol...

District heating systems are a relevant solution for reducing CO2 emissions, especially in dense areas with older buildings. However, due to the heavy investment costs, there is a great interest in simulation and software solutions to reduce distribution losses, limit the overuse of peak generators and optimize the use of storage capacities. In thi...

District heating networks are expanding in France, thanks to their ability to reduce carbon dioxide emissions. Designing efficient control strategies for district heating network is one of the main challenges to achieve this goal. In this paper, we show how dynamic modelling, experimental validation and simulation of a district heating network can...

Automation systems become more and more complex, and their traditional hierarchical and centralized control may not be able to deal with this ever-increasing complexity satisfactorily. Decentralized approaches are considered promising, but they are not yet sufficiently understood for widespread industrial application. In particular, agent-based con...

This paper presents a decentralized approach for the local reconfiguration of control software, which is based on a mul- tiagent system with ontology-driven reasoning. We apply this ap- proach to a transportation system and demonstrate improvements onefficiency,faulttoleranceandstabilitywithseveralexperiments. One key element to achieve these resul...

Manufacturing control systems are a mission-critical application domain for semantic agents systems. While multi-agent systems have been explored in the manufacturing systems domain, there is very little work on semantically enabled agent systems. This chapter introduces a layered architecture for manufacturing systems based on agent systems and di...

An agile monitoring and diagnostic system plays a vital role in manufacturing, since it can considerably increase its robustness and efficiency. Applying agent technology to such systems is recognised as an appropriate approach, providing fault-tolerance and means for failure recovery in the case of sudden anomalies. In this article, we present an...

The reconfiguration of control software is regarded as an important ability to enhance the effectiveness and efficiency in future manufacturing systems. Agent technology is considered as a promising approach to provide reconfiguration abilities, but existing work has been focused mainly on the reconfiguration of higher layers concerned with product...

Addressing changing market conditions and customer needs requires more flexible and reconfigurable manufacturing systems. Distributed intelligent control systems based on agent technologies are seen as a promising approach to provide reconfiguration abilities. Existing work has been focused on the reconfiguration of higher layers concerned with pro...

The process industry needs to cope with permanently changing environments where sudden component failures can significantly influence the system performance if not treated in an appropriate amount of time. Agent-based manufacturing control systems are recognized as a promising technology that can handle such anomalies. However, current agent approa...

Today's self-managing systems would ideally be able to adapt themselves (their internal structure or behavior), as well as to autonomously participate in larger, self-organizing systems. Analogously, the enterprises or other socio-economic systems autonomously manage themselves - they make decisions on how to adapt their structure and behavior, and...

The increasing complexity of large-scale distributed applications motivates the study and development of self-organising systems. However, engineering self-organising systems is still a challenge. Despite their benefits, self-organising systems suffer from a lack of control and stability, so that methods and tools are needed for improving their und...

During the last decades production automation research has been focused on improving the flexibility and adaptability in order to cope with the arising challenges of mass customization. Much work was devoted to the higher-planning and scheduling-levels of automation systems. However, the lower level real-time control infrastructure was widely negle...

Manufacturing systems need to become more flexible and agile in order to address permanently changing requirements. Agent-based manufacturing control systems are envisioned as a relevant solution. However, designing and deploying such systems is complex, and raises some concerns regarding safety, robustness and emergence of unforeseen behaviors. To...

Manufacturing systems have become very complex, and the traditional hierarchical and centralized approaches are not adequate any more. Decentralized approaches are considered promising, but they are not yet sufficiently understood for widespread industrial application. In particular, agent-based control has not yet achieved its potential, so that m...

Currently employed manufacturing systems are very often historically grown systems that can comprise several different technologies of control software. Linking these diverse control subsystems in the manufacturing domain is therefore of vital importance to ensure the system's functionality. In this paper we introduce an agent-based approach with a...

Interacting with robots like service robots should be as natural as possible for humans. As a consequence, such robots should be equipped with a multimodal user interface, so that interaction can rely on the relevant modalities for a given task and a given context. Typically, a rather fixed combination of speech and graphical user interface is used...

Designing applications for a person-aware environment (called person-aware applications) raises numerous challenges. Especially, devices are heterogeneous, environments are unstable and evolving, and users' needs are variable and imprecise. In order to facilitate the design of person-aware applications, we focus on the notion of flexible composite...

Multimodal user interface development is complex and laborious as a user interface is not just the sum of various input and output modalities for a given application. It is even harder for context-aware user interfaces that shall support mixed-initiative. In fact, the development of multimodal user interfaces requires several expertises that consid...

The emergence of software-intensive systems connecting phys-ical devices to network-based applications involves new design challenges. As an example, flexible manufacturing systems composed of multiple networked devices in interaction with the physical world, are subject to imprecision and to unpredictable breakdowns. Applications and control softw...

Ambient communication aims at enabling new forms on hu- man communication in smart home environments. In this paper, we highlight some design principles raised by a simple application scenario and we analyze achievements of previous work towards infrastructure support for ambient environments. We elaborate on our proposed ar- chitecture for ambient...

Pervasive computing environments involve a variety of smart devices and home appliances. Communities of these devices form a ubiquitous information processing system to which the physical environment should provide an intuitive and flexible user interface. As each of these devices offers specific services, their number and variety make it difficult...

Les environnements d'informatique pervasive mettent en oeu- vre de nombreux objets communicants. L'ensemble de ces objets forme un syst eme d'informatique ubiquiste dont une interface intuitive et exible doit ^ etre l'environnement m^ eme d'un utilisateur. Chacun de ces objets oran t des services sp eciques nombreux et vari es, leur contr^ ole et l...

Pervasive computing environments involve a variety of smart devices, which tend to over-charge humans with complex or irrelevant interaction. Ambient Intelligence pushes forward a vision where technology is integrated into everyday objects with the intent of making users' interaction with their surrounding environment simpler and more intuitive. In...