The Experts below are selected from a list of 45567 Experts worldwide ranked by ideXlab platform
Yacine Rezgui - One of the best experts on this subject based on the ideXlab platform.
-
PRO-VE - A Real-Time Energy Management Platform for Multi-vector District Energy Systems
IFIP Advances in Information and Communication Technology, 2018Co-Authors: Muhammad Waseem Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
-
A Real-Time Energy Management Platform for Multi-vector District Energy Systems
2018Co-Authors: Muhammad Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
-
Collaborative Network for District Energy Operation and Semantic Technologies: A Case Study
2018Co-Authors: Corentin Kuster, Jean-laurent Hippolyte, Yacine RezguiAbstract:The growing interest toward renewable energies and alternative Energy sources has led to the development of an increasingly complex District Energy landscape with multiple agents and systems. In this new prospect, some frameworks such as USEF [1] or holonic multi-agent systems [2] propose new approaches, where, in the way of a Virtual Organisation Breeding Environment (VOBE) [3], diverse organizations cooperate on a long-term basis to run an Energy system. This study focuses on the THERMOSS project, an EU-funded project that investigates the efficient operation of District heating and cooling networks, and demonstrates that such organisation can be integrated into the Collaborative Networks (CNs) paradigm. Additionally, a semantic approach is briefly introduced as a mean to support and improve data transfer and communication between the different entities of THERMOSS as a CN.
-
PRO-VE - Collaborative Network for District Energy Operation and Semantic Technologies: A Case Study
IFIP Advances in Information and Communication Technology, 2018Co-Authors: Corentin Kuster, Jean-laurent Hippolyte, Yacine RezguiAbstract:The growing interest toward renewable energies and alternative Energy sources has led to the development of an increasingly complex District Energy landscape with multiple agents and systems. In this new prospect, some frameworks such as USEF [1] or holonic multi-agent systems [2] propose new approaches, where, in the way of a Virtual Organisation Breeding Environment (VOBE) [3], diverse organizations cooperate on a long-term basis to run an Energy system. This study focuses on the THERMOSS project, an EU-funded project that investigates the efficient operation of District heating and cooling networks, and demonstrates that such organisation can be integrated into the Collaborative Networks (CNs) paradigm. Additionally, a semantic approach is briefly introduced as a mean to support and improve data transfer and communication between the different entities of THERMOSS as a CN.
-
Ontology-driven development of web services to support District Energy applications
Automation in Construction, 2018Co-Authors: Jean-laurent Hippolyte, Yacine Rezgui, Bejay Jayan, Shaun Kevin HowellAbstract:Current urban and District Energy management systems lack a common semantic referential for e�ectively interrelating intelligent sensing, data models and Energy models with visualization, analysis and decision support tools. This paper describes the structure, as well as the rationale that led to this structure, of an ontology that captures the real-world concepts of a District Energy system, such as a District heating and cooling system. This ontology (called eeDistrict ontology) is intended to support knowledge provision that can play the role of an intermediate layer between high-level Energy management software applications and local monitoring and control software components. In order to achieve that goal, the authors propose to encapsulate queries to the ontology in a scalable web service, which will facilitate the development of interfaces for third-party applications. Considering the size of the ee-District ontology once populated with data from a speci�c District case study, this could prove to be a repetitive and time-consuming task for the software developer. This paper therefore assesses the feasibility of ontology-driven automation of web service development that is to be a core element in the deployment of heterogeneous District-wide Energy management software.
Marc A. Rosen - One of the best experts on this subject based on the ideXlab platform.
-
Assessment of the Thermal Energy Storage in Friedrichshafen District Energy Systems
Energy Procedia, 2017Co-Authors: Behnaz Rezaie, Bale V. Reddy, Marc A. RosenAbstract:Abstract The thermal Energy storage (TES) of an actual District Energy (DE) system is analyzed thermodynamically, using Energy and exergy approaches. With a case study, the results for the TES of the DE system are verified with previous studies. The actual case considered is the Friedrichshafen DE system in Germany. This system is solar assisted, uses natural gas as a backup, and is equipped with a TES. The TES stores the surplus solar Energy until is needed by thermal Energy users of the system. Using solar Energy allows the DE system to use significantly less fossil fuel than would otherwise be the case. Seasonal TES, which normally requires significant thermal insulation to adequately reduce thermal losses, is used in the DE system. The use and role of thermal storage in a District Energy system is assessed considering the Friedrichshafen DE system. The results show the significant influence of the return temperature of the circulating media (water) from the DE system thermal network. Furthermore, the financial impact of the TES is not limited to a reduction of the operational cost of the DE system but also to an increase in the initial costs for the DE system.
-
Integrated systems for cogeneration and District Energy
Cogeneration and District Energy Systems: Modelling Analysis and Optimization, 2016Co-Authors: Marc A. Rosen, Seama Koohi-fayeghAbstract:Systems that integrate cogeneration and District Energy are described. Included are descriptions of District Energy (i.e., District heating and cooling), showing how it builds on and combines technologies for District heating and District cooling. Cogeneration-based District Energy is defined and many facets of it are discussed, including possible variations of cogeneration-based District Energy. Cogeneration-based District Energy is compared with alternative and conventional systems for electrical and thermal Energy, which constitute the main competing technologies. A general model for cogeneration-based District Energy suitable for engineering and thermodynamic assessments is presented and illustrated and various operation modes for it identified. A detailed thermodynamic description of a combined cogeneration-based District Energy system is given, along with corresponding Energy and exergy balances and efficiencies. Alternative measures of system efficiency are also provided. The need for proper measures of merit for systems for cogeneration-based District Energy is emphasized, especially when they include chiller systems, since useful, meaningful and logical measures are lacking. Finally, systems for integrated cogeneration-based District Energy are described, by drawing on the material presented for both cogeneration and District Energy. It is explained how District cooling systems using absorption chillers often complement District heating systems when both use heat supplied from a cogeneration plant because the demand for heat in a District heating system is lower in summer than in winter and heat-driven District cooling, which requires heat mainly in the summer, can help to balance the seasonal demands for cogeneration-derived heat.
-
Economics of cogeneration and District Energy
Cogeneration and District Energy Systems: Modelling Analysis and Optimization, 2016Co-Authors: Marc A. Rosen, Seama Koohi-fayeghAbstract:The economics of cogeneration and District Energy are described and examined, starting with fundamentals and general economic considerations such as methods for estimating TCI, performing economic evaluations and calculating revenue requirements. A detailed case study on the economics of cogeneration is provided. For the scenario considered in the case study, the fixed and TCI, as well as fuel costs, start-up costs, and working capital (WC), are explained. The cogeneration project economics are provided, and the facility investment, modified accelerated cost recovery system and product costs are described. Modern and historical applications of the case study are examined. Various economic considerations involved in integrated cogeneration-based District Energy systems are considered, including economic considerations for generation and distribution as well as economic considerations for consumers. An analogy is presented between allocating wastes for cogeneration among products, and allocating economic costs among products. Optimization schemes and procedures involving economics are discussed, to provide a foundation for detailed routines and computer codes for assessing, comparing and optimizing the benefits of such systems. Various investigations of economics of cogeneration and District Energy are described.
-
Comparison of systems for integrated cogeneration and District Energy
Cogeneration and District Energy Systems: Modelling Analysis and Optimization, 2016Co-Authors: Marc A. Rosen, Seama Koohi-fayeghAbstract:Systems for integrated cogeneration and District Energy are compared, pointing out similarities and differences. The cases considered in the comparison exercise are carefully described, including the specification of efficiency measures. Performance and efficiency measures are defined and discussed for the chillers, for cogeneration and heating, and for integrated cogeneration-based District Energy. The comparison of several systems for integrated cogeneration and District Energy demonstrates the merits of different integrated systems for cogeneration and District Energy, and also clarifies the separate technologies involved and how they operate in tandem in mutually beneficial manners. The comparison highlights the need for proper measures of merit for systems for cogeneration-based District Energy, particularly when they include cooling, and the way in which District cooling systems using absorption chillers can complement District heating systems when both use heat supplied from a cogeneration plant because the demand for heat become more balanced seasonally. Comparative assessments are demonstrated to be both useful and necessary, given the breadth of technologies available for cogeneration, heating, cooling, District heating and District cooling, particularly as a way of assisting designers in selecting parameter values and system configurations, and in helping decision-makers choose among competing options. The comparisons in this chapter also serve to illustrate the technologies that are involved in cogeneration-based District Energy, and to help demonstrate the merits of different integrated cogeneration and District Energy systems by providing fair comparative assessments.
-
Developments and advances in technologies and systems for cogeneration and District Energy
Cogeneration and District Energy Systems: Modelling Analysis and Optimization, 2016Co-Authors: Marc A. Rosen, Seama Koohi-fayeghAbstract:Developments and advances in technologies and systems for cogeneration and District Energy, and related technologies such as trigeneration, multigeneration and distributed Energy systems, are described, drawing extensively on recent and ongoing research and development activities throughout the world. Such advances help predict how the technologies will perform and be utilized in the future. Many of the advances involve renewable Energy and advanced technologies such as Energy storage, fuel cells and new HVAC devices, and utilize advanced methods such as exergy analysis. The material is loosely divided and organized for convenience, with the first part focusing on technical and related factors for cogeneration and extended cogeneration, heating and cooling, District Energy, and integrated systems for cogeneration and District Energy. The second part is centered on advances related to the economics of systems and technologies related to cogeneration and District Energy, while the third part addresses environmental impact and climate change aspects of cogeneration and District Energy and how the technologies can mitigate them. The final part describes advances regarding the optimization of systems related to cogeneration and District Energy.
Jean-laurent Hippolyte - One of the best experts on this subject based on the ideXlab platform.
-
PRO-VE - A Real-Time Energy Management Platform for Multi-vector District Energy Systems
IFIP Advances in Information and Communication Technology, 2018Co-Authors: Muhammad Waseem Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
-
A Real-Time Energy Management Platform for Multi-vector District Energy Systems
2018Co-Authors: Muhammad Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
-
Collaborative Network for District Energy Operation and Semantic Technologies: A Case Study
2018Co-Authors: Corentin Kuster, Jean-laurent Hippolyte, Yacine RezguiAbstract:The growing interest toward renewable energies and alternative Energy sources has led to the development of an increasingly complex District Energy landscape with multiple agents and systems. In this new prospect, some frameworks such as USEF [1] or holonic multi-agent systems [2] propose new approaches, where, in the way of a Virtual Organisation Breeding Environment (VOBE) [3], diverse organizations cooperate on a long-term basis to run an Energy system. This study focuses on the THERMOSS project, an EU-funded project that investigates the efficient operation of District heating and cooling networks, and demonstrates that such organisation can be integrated into the Collaborative Networks (CNs) paradigm. Additionally, a semantic approach is briefly introduced as a mean to support and improve data transfer and communication between the different entities of THERMOSS as a CN.
-
PRO-VE - Collaborative Network for District Energy Operation and Semantic Technologies: A Case Study
IFIP Advances in Information and Communication Technology, 2018Co-Authors: Corentin Kuster, Jean-laurent Hippolyte, Yacine RezguiAbstract:The growing interest toward renewable energies and alternative Energy sources has led to the development of an increasingly complex District Energy landscape with multiple agents and systems. In this new prospect, some frameworks such as USEF [1] or holonic multi-agent systems [2] propose new approaches, where, in the way of a Virtual Organisation Breeding Environment (VOBE) [3], diverse organizations cooperate on a long-term basis to run an Energy system. This study focuses on the THERMOSS project, an EU-funded project that investigates the efficient operation of District heating and cooling networks, and demonstrates that such organisation can be integrated into the Collaborative Networks (CNs) paradigm. Additionally, a semantic approach is briefly introduced as a mean to support and improve data transfer and communication between the different entities of THERMOSS as a CN.
-
Ontology-driven development of web services to support District Energy applications
Automation in Construction, 2018Co-Authors: Jean-laurent Hippolyte, Yacine Rezgui, Bejay Jayan, Shaun Kevin HowellAbstract:Current urban and District Energy management systems lack a common semantic referential for e�ectively interrelating intelligent sensing, data models and Energy models with visualization, analysis and decision support tools. This paper describes the structure, as well as the rationale that led to this structure, of an ontology that captures the real-world concepts of a District Energy system, such as a District heating and cooling system. This ontology (called eeDistrict ontology) is intended to support knowledge provision that can play the role of an intermediate layer between high-level Energy management software applications and local monitoring and control software components. In order to achieve that goal, the authors propose to encapsulate queries to the ontology in a scalable web service, which will facilitate the development of interfaces for third-party applications. Considering the size of the ee-District ontology once populated with data from a speci�c District case study, this could prove to be a repetitive and time-consuming task for the software developer. This paper therefore assesses the feasibility of ontology-driven automation of web service development that is to be a core element in the deployment of heterogeneous District-wide Energy management software.
Mathieu Lessinnes - One of the best experts on this subject based on the ideXlab platform.
-
PRO-VE - A Real-Time Energy Management Platform for Multi-vector District Energy Systems
IFIP Advances in Information and Communication Technology, 2018Co-Authors: Muhammad Waseem Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
-
A Real-Time Energy Management Platform for Multi-vector District Energy Systems
2018Co-Authors: Muhammad Ahmad, Jean-laurent Hippolyte, Michael Descamps, Jasper Van Dessel, Christian Merckx, Jonathan Reynolds, Yacine Rezgui, Mathieu LessinnesAbstract:Management of increasingly complex, multi-vector, District Energy systems, operated by separate stakeholders, including prosumers, is a vital challenge to overcome in a fragmented Energy landscape. The complex value chain involved forms a cognitive virtual network with the shared objective to reduce Energy consumption, greenhouse gas emissions and maximise human comfort. This paper will aim to illustrate the PENTAGON platform for integrated management of key stakeholder data to produce automatic, holistic and pre-emptive decisions that ensure near-optimal management of a District Energy system. The PENTAGON platform architecture consists of five key modules including Smart Connector to interface with existing District Energy Management Systems (DEMS), a time series database, a prediction module, a multi-vector optimisation module and a module ensuring the electric grid stability. Integration of these distinct modules is achieved through an underpinning, shared, semantic description of the District components, sensors and scenarios. The ultimate goal of the described platform is to achieve a step-change from static, reactive, rule-based systems to an intelligent, adaptive, and pre-emptive control architecture that makes new decisions based on perceived and predicted conditions.
Behnaz Rezaie - One of the best experts on this subject based on the ideXlab platform.
-
Assessment of the Thermal Energy Storage in Friedrichshafen District Energy Systems
Energy Procedia, 2017Co-Authors: Behnaz Rezaie, Bale V. Reddy, Marc A. RosenAbstract:Abstract The thermal Energy storage (TES) of an actual District Energy (DE) system is analyzed thermodynamically, using Energy and exergy approaches. With a case study, the results for the TES of the DE system are verified with previous studies. The actual case considered is the Friedrichshafen DE system in Germany. This system is solar assisted, uses natural gas as a backup, and is equipped with a TES. The TES stores the surplus solar Energy until is needed by thermal Energy users of the system. Using solar Energy allows the DE system to use significantly less fossil fuel than would otherwise be the case. Seasonal TES, which normally requires significant thermal insulation to adequately reduce thermal losses, is used in the DE system. The use and role of thermal storage in a District Energy system is assessed considering the Friedrichshafen DE system. The results show the significant influence of the return temperature of the circulating media (water) from the DE system thermal network. Furthermore, the financial impact of the TES is not limited to a reduction of the operational cost of the DE system but also to an increase in the initial costs for the DE system.
-
enviro exergy sustainability analysis of boiler evolution in District Energy system
Energy, 2017Co-Authors: Marc Compton, Behnaz RezaieAbstract:Investigations into Energy resources are important from the point of Energy sustainability. The principal objective of this study is to investigate the evolution of the operating boilers at the University of Idaho (UI) District Energy plant through an exergy analysis. The biomass boiler uses western red cedar chips from nearby lumber mills and provides 95% of the steam requirements of the main campus of UI in Moscow, ID, USA. Thermodynamic analysis reveals a thermal efficiency of 76% and an exergy efficiency of 24% for the biomass boiler. A combustion model is developed to determine the primary emissions products of both the bone dry wood chips and natural gas fuels. CO2 comprises 26% of the bone dry biomass emissions and 8% of the natural gas emissions products. Testing results of the biomass boiler exhaust stack show CO2 emissions of 14% when an average moisture content of 33% is accounted for. An overview of the evolution of the Energy plant is discussed, showing the generational differences in each boiler. By using a biomass fuel source, the cost per 1000 kg of steam produced is on average 63% lower than using natural gas, resulting in savings of over $1 million annually.
-
Exergy analysis of thermal Energy storage in a District Energy application
Renewable Energy, 2015Co-Authors: Behnaz Rezaie, Bale V. Reddy, Marc A. RosenAbstract:The role of thermal Energy storage (TES) in District Energy (DE) system is assessed. The Friedrichshafen DE system is considered as a case study and exergy analysis is utilized. The TES is designed to complement and to increase the effectiveness of the solar panels included in the District Energy system. The TES stores the surplus solar Energy until is needed by thermal Energy users of the Friedrichshafen DE system. The results quantify the positive impact of the TES on the performance of the Friedrichshafen DE system, and demonstrate that the overall Energy and exergy efficiencies of the TES are 60% and 19%, respectively. It is also shown over an annual period that the temperature, Energy, exergy and Energy efficiency of the TES exhibit similar trends and that the TES exergy accumulation and exergy efficiency exhibit similar trends.
-
An enviro-economic function for assessing Energy resources for District Energy systems
Energy, 2014Co-Authors: Behnaz Rezaie, Bale V. Reddy, Marc A. RosenAbstract:District Energy (DE) systems provide an important means of mitigating greenhouse gas emissions and the significant related concerns associated with global climate change. DE systems can use fossil fuels, renewable Energy and waste heat as Energy sources, and facilitate intelligent integration of Energy systems. In this study, an enviro-economic function is developed for assessing various Energy sources for a District Energy system. The DE system is assessed for the considered Energy resources by considering two main factors: CO2 emissions and economics. Using renewable Energy resources and associated technologies as the Energy suppliers for a DE system yields environmental benefits which can lead to financial advantages through such instruments as tax breaks; while fossil fuels are increasingly penalized by a carbon tax. Considering these factors as well as the financial value of the technology, an analysis approach is developed for Energy suppliers of the DE system. In addition, the proposed approach is modified for the case when thermal Energy storage is integrated into a DE system.