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The heat storage based on thermochemical technology is associated with higher amounts of energy stored with respect to systems based on sensible heat. This interesting feature is stimulating the interest of the scientific community, among energy providers and grid managers, since it can effectively support the operation and integration of renewable high-efficiency systems and local smart grids. Research in this field is achieving unprecedented goals thanks to the profitable exploitation of results obtained in the field of heat pumps and thermally driven systems. The present issue offers the reader a sensational window to this rapidly evolving world.

Research & information: general --- Technology: general issues --- solar DWH --- adsorption --- heat storage --- energy efficiency --- climate conditions --- numerical simulation --- chemical sorption --- system efficiency --- reaction enthalpy --- theoretical limits --- cold storage --- mobile refrigeration --- FAM Z02 --- SAPO-34 --- zeolite --- thermochemical storage --- sorption heat storage --- power-to-heat --- power grid support --- thermal storage --- solar systems --- experimental campaign --- numerical modelling --- SAPO34 --- foam --- solar DWH --- adsorption --- heat storage --- energy efficiency --- climate conditions --- numerical simulation --- chemical sorption --- system efficiency --- reaction enthalpy --- theoretical limits --- cold storage --- mobile refrigeration --- FAM Z02 --- SAPO-34 --- zeolite --- thermochemical storage --- sorption heat storage --- power-to-heat --- power grid support --- thermal storage --- solar systems --- experimental campaign --- numerical modelling --- SAPO34 --- foam

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The penetration of distributed generation, energy storages and smart loads has resulted in the emergence of prosumers: entities capable of adjusting their electricity production and consumption in order to meet environmental goals and to participate profitably in the available electricity markets. Significant untapped potential remains in the exploitation and coordination of small and medium-sized distributed energy resources. However, such resources usually have a primary purpose, which imposes constraints on the exploitation of the resource; for example, the primary purpose of an electric vehicle battery is for driving, so the battery could be used as temporary storage for excess photovoltaic energy only if the vehicle is available for driving when the owner expects it to be. The aggregation of several distributed energy resources is a solution for coping with the unavailability of one resource. Solutions are needed for managing the electricity production and consumption characteristics of diverse distributed energy resources in order to obtain prosumers with more generic capabilities and services for electricity production, storage, and consumption. This collection of articles studies such prosumers and the emergence of prosumer communities. Demand response-capable smart loads, battery storages and photovoltaic generation resources are forecasted and optimized to ensure energy-efficient and, in some cases, profitable operation of the resources.

power-to-heat --- sector coupling --- thermal storage --- district heat --- deep well heat pump --- hierarchical agglomerative clustering --- chronology --- demand response --- two-capacity building model --- residential users --- flexible loads shifting scenarios --- community of prosumers --- new consumption peak --- shared PV plant --- storage batteries --- load factor --- real-time pricing --- prosumers --- electricity price forecasting --- particle swarm optimization --- renewable energy --- peer-to-peer --- electricity market --- economic dispatch --- consensus + innovations --- distributed energy resources --- battery --- reinforcement learning --- simulation --- frequency reserve --- frequency containment reserve --- timescale --- artificial intelligence --- real-time

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The penetration of distributed generation, energy storages and smart loads has resulted in the emergence of prosumers: entities capable of adjusting their electricity production and consumption in order to meet environmental goals and to participate profitably in the available electricity markets. Significant untapped potential remains in the exploitation and coordination of small and medium-sized distributed energy resources. However, such resources usually have a primary purpose, which imposes constraints on the exploitation of the resource; for example, the primary purpose of an electric vehicle battery is for driving, so the battery could be used as temporary storage for excess photovoltaic energy only if the vehicle is available for driving when the owner expects it to be. The aggregation of several distributed energy resources is a solution for coping with the unavailability of one resource. Solutions are needed for managing the electricity production and consumption characteristics of diverse distributed energy resources in order to obtain prosumers with more generic capabilities and services for electricity production, storage, and consumption. This collection of articles studies such prosumers and the emergence of prosumer communities. Demand response-capable smart loads, battery storages and photovoltaic generation resources are forecasted and optimized to ensure energy-efficient and, in some cases, profitable operation of the resources.

Technology: general issues --- Energy industries & utilities --- power-to-heat --- sector coupling --- thermal storage --- district heat --- deep well heat pump --- hierarchical agglomerative clustering --- chronology --- demand response --- two-capacity building model --- residential users --- flexible loads shifting scenarios --- community of prosumers --- new consumption peak --- shared PV plant --- storage batteries --- load factor --- real-time pricing --- prosumers --- electricity price forecasting --- particle swarm optimization --- renewable energy --- peer-to-peer --- electricity market --- economic dispatch --- consensus + innovations --- distributed energy resources --- battery --- reinforcement learning --- simulation --- frequency reserve --- frequency containment reserve --- timescale --- artificial intelligence --- real-time --- power-to-heat --- sector coupling --- thermal storage --- district heat --- deep well heat pump --- hierarchical agglomerative clustering --- chronology --- demand response --- two-capacity building model --- residential users --- flexible loads shifting scenarios --- community of prosumers --- new consumption peak --- shared PV plant --- storage batteries --- load factor --- real-time pricing --- prosumers --- electricity price forecasting --- particle swarm optimization --- renewable energy --- peer-to-peer --- electricity market --- economic dispatch --- consensus + innovations --- distributed energy resources --- battery --- reinforcement learning --- simulation --- frequency reserve --- frequency containment reserve --- timescale --- artificial intelligence --- real-time

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This book focuses on the interaction between different energy vectors, that is, between electrical, thermal, gas, and transportation systems, with the purpose of optimizing the planning and operation of future energy systems. More and more renewable energy is integrated into the electrical system, and to optimize its usage and ensure that its full production can be hosted and utilized, the power system has to be controlled in a more flexible manner. In order not to overload the electrical distribution grids, the new large loads have to be controlled using demand response, perchance through a hierarchical control set-up where some controls are dependent on price signals from the spot and balancing markets. In addition, by performing local real-time control and coordination based on local voltage or system frequency measurements, the grid hosting limits are not violated.

hybrid electricity-natural gas energy systems --- power to gas (P2G) --- low-carbon --- economic environmental dispatch --- trust region method --- Levenberg-Marquardt method --- integrated energy park --- park partition --- double-layer optimal scheduling --- non-cooperative game --- Nash equilibrium --- energy flexibility --- power-to-heat --- multi energy system --- flexible demand --- thermal storage --- electric boiler --- estimation of thermal demand --- integrated energy system --- integrated demand response --- medium- and long-term --- system dynamics --- user decision --- photovoltaic generation --- ultralow-frequency oscillation --- small-signal model --- eigenvalue analysis --- damping torque --- triple active bridge --- integrated energy systems --- DC grid --- isolated bidirectional DC-DC converter --- multiport converter --- combined heat and power system --- wind power uncertainty --- scenario method --- temporal dependence --- optimization scheduling --- hydrogen --- multi-energy systems --- power system economics --- renewable energy generation --- whole system modelling --- local energy management systems --- multi-objective optimization --- rolling time-horizon --- emission abatement strategies --- distributed energy systems --- enhance total transfer capability --- day-ahead thermal generation scheduling --- reduce curtailed wind power --- CO2 emissions --- commercial buildings --- flexibility quantification --- flexibility optimization --- HVAC systems --- network operation --- residential buildings --- dissemination --- renewable energy policy --- renewable energy subsidies --- solar PV --- TSTTC of transmission lines --- sensitivity between TSTTC and reactive power --- reactive power control method --- urban integrated heat and power system --- random fluctuations of renewable energy --- flexibility scheduling --- temperature dynamics of the urban heat network --- heat pumps --- power grid --- gas distribution --- grid expansion planning --- load-profiles --- energy system analysis --- modeling --- multi-energy system --- smart energy system --- self-sufficiency --- dynamic market

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book focuses on the interaction between different energy vectors, that is, between electrical, thermal, gas, and transportation systems, with the purpose of optimizing the planning and operation of future energy systems. More and more renewable energy is integrated into the electrical system, and to optimize its usage and ensure that its full production can be hosted and utilized, the power system has to be controlled in a more flexible manner. In order not to overload the electrical distribution grids, the new large loads have to be controlled using demand response, perchance through a hierarchical control set-up where some controls are dependent on price signals from the spot and balancing markets. In addition, by performing local real-time control and coordination based on local voltage or system frequency measurements, the grid hosting limits are not violated.

History of engineering & technology --- hybrid electricity-natural gas energy systems --- power to gas (P2G) --- low-carbon --- economic environmental dispatch --- trust region method --- Levenberg-Marquardt method --- integrated energy park --- park partition --- double-layer optimal scheduling --- non-cooperative game --- Nash equilibrium --- energy flexibility --- power-to-heat --- multi energy system --- flexible demand --- thermal storage --- electric boiler --- estimation of thermal demand --- integrated energy system --- integrated demand response --- medium- and long-term --- system dynamics --- user decision --- photovoltaic generation --- ultralow-frequency oscillation --- small-signal model --- eigenvalue analysis --- damping torque --- triple active bridge --- integrated energy systems --- DC grid --- isolated bidirectional DC-DC converter --- multiport converter --- combined heat and power system --- wind power uncertainty --- scenario method --- temporal dependence --- optimization scheduling --- hydrogen --- multi-energy systems --- power system economics --- renewable energy generation --- whole system modelling --- local energy management systems --- multi-objective optimization --- rolling time-horizon --- emission abatement strategies --- distributed energy systems --- enhance total transfer capability --- day-ahead thermal generation scheduling --- reduce curtailed wind power --- CO2 emissions --- commercial buildings --- flexibility quantification --- flexibility optimization --- HVAC systems --- network operation --- residential buildings --- dissemination --- renewable energy policy --- renewable energy subsidies --- solar PV --- TSTTC of transmission lines --- sensitivity between TSTTC and reactive power --- reactive power control method --- urban integrated heat and power system --- random fluctuations of renewable energy --- flexibility scheduling --- temperature dynamics of the urban heat network --- heat pumps --- power grid --- gas distribution --- grid expansion planning --- load-profiles --- energy system analysis --- modeling --- multi-energy system --- smart energy system --- self-sufficiency --- dynamic market --- hybrid electricity-natural gas energy systems --- power to gas (P2G) --- low-carbon --- economic environmental dispatch --- trust region method --- Levenberg-Marquardt method --- integrated energy park --- park partition --- double-layer optimal scheduling --- non-cooperative game --- Nash equilibrium --- energy flexibility --- power-to-heat --- multi energy system --- flexible demand --- thermal storage --- electric boiler --- estimation of thermal demand --- integrated energy system --- integrated demand response --- medium- and long-term --- system dynamics --- user decision --- photovoltaic generation --- ultralow-frequency oscillation --- small-signal model --- eigenvalue analysis --- damping torque --- triple active bridge --- integrated energy systems --- DC grid --- isolated bidirectional DC-DC converter --- multiport converter --- combined heat and power system --- wind power uncertainty --- scenario method --- temporal dependence --- optimization scheduling --- hydrogen --- multi-energy systems --- power system economics --- renewable energy generation --- whole system modelling --- local energy management systems --- multi-objective optimization --- rolling time-horizon --- emission abatement strategies --- distributed energy systems --- enhance total transfer capability --- day-ahead thermal generation scheduling --- reduce curtailed wind power --- CO2 emissions --- commercial buildings --- flexibility quantification --- flexibility optimization --- HVAC systems --- network operation --- residential buildings --- dissemination --- renewable energy policy --- renewable energy subsidies --- solar PV --- TSTTC of transmission lines --- sensitivity between TSTTC and reactive power --- reactive power control method --- urban integrated heat and power system --- random fluctuations of renewable energy --- flexibility scheduling --- temperature dynamics of the urban heat network --- heat pumps --- power grid --- gas distribution --- grid expansion planning --- load-profiles --- energy system analysis --- modeling --- multi-energy system --- smart energy system --- self-sufficiency --- dynamic market