Controlling district heating and cooling networks to unlock flexibility: A review
暂无分享,去创建一个
Lieve Helsen | Bram van der Heijde | Annelies Vandermeulen | B. Heijde | L. Helsen | A. Vandermeulen
[1] J. Holst,et al. Optimal operation of coproduction with storage , 1998 .
[2] Davy Geysen,et al. A framework for simulation and control of hybrid energy networks , 2014, 2014 IEEE International Energy Conference (ENERGYCON).
[3] Martin Kozek,et al. Predictive control of district heating network using fuzzy DMC , 2012, 2012 Proceedings of International Conference on Modelling, Identification and Control.
[4] Hendrik Kondziella,et al. Potential of the Power-to-Heat Technology in District Heating Grids in Germany , 2014 .
[5] F. Haghighat,et al. Integration of storage and renewable energy into district heating systems: A review of modelling and optimization , 2016 .
[6] Dieter Patteeuw,et al. Demand Response for Residential Heat Pumps in Interaction with the Electricity Generation System , 2016 .
[7] Paul Beagon,et al. Control Strategies for Building Energy Systems to Unlock Demand Side Flexibility – A Review , 2017, Building Simulation Conference Proceedings.
[8] Olof Andersson,et al. AQUIFER THERMAL ENERGY STORAGE (ATES) , 2007 .
[9] Enso Ikonen,et al. Short term optimization of district heating network supply temperatures , 2014, 2014 IEEE International Energy Conference (ENERGYCON).
[10] Fabio Polonara,et al. State of the art of thermal storage for demand-side management , 2012 .
[11] Sven Werner. District Heating and Cooling , 2013 .
[12] Bernd Möller,et al. Heat Roadmap Europe 2050 : Second Pre-study for the EU27 , 2013 .
[13] Dirk Saelens,et al. Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation , 2012 .
[14] Henrik Lund,et al. A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating , 2011 .
[15] Giuseppe Tommaso Costanzo,et al. An overview of demand side management control schemes for buildings in smart grids , 2013, 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE).
[16] Jerker Delsing,et al. Controlling district heating load through prices , 2011, 2011 IEEE International Systems Conference.
[17] Leo Laakkonen,et al. Predictive supply temperature optimization of district heating networks , 2016 .
[18] Lieve Helsen,et al. Quantification of flexibility in buildings by cost curves – Methodology and application , 2016 .
[19] B. Heijde,et al. Modelling steady-state thermal behaviour of double thermal network pipes , 2017 .
[20] Einar Gunnlaugsson,et al. 85 Years of Successful District Heating in Reykjavík, Iceland , 2015 .
[21] Sven Werner,et al. Achieving low return temperatures from district heating substations , 2014 .
[22] Markus Bohlin,et al. Production Planning for Distributed District Heating Networks with JModelica.org , 2015 .
[23] Glenn Reynders. Quantifying the Impact of Building Design on the Potential of Structural Storage for Active Demand Response in Residential Buildings , 2015 .
[24] Sven Werner,et al. Thermal energy storage systems for district heating and cooling , 2021, Advances in Thermal Energy Storage Systems.
[25] Mohammad Shahidehpour,et al. Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network , 2016, IEEE Transactions on Sustainable Energy.
[26] Gerd Vandersteen,et al. A linear dynamic borehole model for use in model based predictive control , 2009 .
[27] Helge V. Larsen,et al. Equivalent models of district heating systems: for on-line minimization of operational costs of the complete district heating system , 1999 .
[28] Jan-Olof Dalenbäck,et al. Potential of residential buildings as thermal energy storage in district heating systems – Results from a pilot test , 2015 .
[29] Jan Van Impe,et al. Study of the optimal control problem formulation for modulating air-to-water heat pumps connected to a residential floor heating system , 2012 .
[30] Vittorio Verda,et al. Primary energy savings through thermal storage in district heating networks , 2011 .
[31] Thomas Nuytten,et al. Flexibility of a combined heat and power system with thermal energy storage for district heating , 2013 .
[32] Johan Kensby. Buildings as thermal energy storage – Pilot test and large-scale implementation for district heating systems , 2015 .
[33] Bill Wong,et al. The Performance of a High Solar Fraction Seasonal Storage District Heating System – Five Years of Operation☆ , 2012 .
[34] Linn Saarinen,et al. Modelling and control of a district heating system , 2008 .
[35] Thomas Nussbaumer,et al. Status Report on District Heating Systems in IEA Countries , 2014 .
[36] Sebastian Stinner,et al. Quantifying the operational flexibility of building energy systems with thermal energy storages , 2016 .
[37] Liuchen Chang,et al. A centralized fuzzy controller for aggregated control of domestic water heaters , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.
[38] Fabio Polonara,et al. Domestic demand-side management (DSM): Role of heat pumps and thermal energy storage (TES) systems , 2013 .
[39] Wojciech Bujalski,et al. Operational optimization in district heating systems using thermal inertia of buildings , 2016 .
[40] Geert Deconinck,et al. Cluster Control of Heterogeneous Thermostatically Controlled Loads Using Tracer Devices , 2017, IEEE Transactions on Smart Grid.
[41] Peter Lund,et al. Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .
[42] Dirk Vanhoudt,et al. Status of the Horizon 2020 Storm Project , 2017 .
[43] Benny Bøhm,et al. Operational optimization in a district heating system , 1995 .
[44] Helge V. Larsen,et al. Aggregated dynamic simulation model of district heating networks , 2002 .
[45] P. André,et al. Smart grid energy flexible buildings through the use of heat pumps and building thermal mass as energy storage in the Belgian context , 2015 .
[46] Lieve Helsen,et al. Experimental Method for the State of Charge Determination of a Thermally Activated Building System (TABS) , 2015 .
[47] Davy Geysen,et al. Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms , 2017 .
[48] Lieve Helsen,et al. Unlocking flexibility by exploiting the thermal capacity of concrete core activation , 2017 .
[49] Dirk Saelens,et al. Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour , 2016 .
[50] Dirk Saelens,et al. Potential of structural thermal mass for demand-side management in dwellings , 2013 .
[51] Helge V. Larsen,et al. Simple models for operational optimisation , 2002 .
[52] P Pieter-Jan Hoes,et al. Analysis of control strategies for thermally activated building systems under demand side management mechanisms , 2014 .
[53] Dirk Müller,et al. Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization , 2018 .
[54] Fjo De Ridder,et al. Grey-box model and identification procedure for domestic thermal storage vessels , 2014 .
[55] P. Lund,et al. Improved flexibility with large-scale variable renewable power in cities through optimal demand side management and power-to-heat conversion , 2016 .
[56] Lieve Helsen,et al. Agent-Based Control of A Neighborhood: A Generic Approach by Coupling Modelica with Python , 2015, Building Simulation Conference Proceedings.
[57] Dirk Saelens,et al. A Generic Quantification Method for the Active Demand Response Potential by Structural Storage in Buildings , 2015, Building Simulation Conference Proceedings.
[58] Nikolaos Papakonstantinou,et al. District heating temperature control algorithm based on short term weather forecast and consumption predictions , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
[59] Risto Lahdelma,et al. State estimation of district heating network based on customer measurements , 2014 .
[60] Gerald Schweiger,et al. The potential of power-to-heat in Swedish district heating systems , 2017 .
[61] Luigi Glielmo,et al. Model Predictive Control-Based Optimal Operations of District Heating System With Thermal Energy Storage and Flexible Loads , 2017, IEEE Transactions on Automation Science and Engineering.
[62] Brian Vad Mathiesen,et al. 4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .
[63] Brian Vad Mathiesen,et al. Energy Storage and Smart Energy Systems , 2016 .
[64] Paul Davidsson,et al. Distributed Thermal Storage Using Multi-Agent Systems , 2012, AT.
[65] Paul Davidsson,et al. An Agent-Based Approach to Monitoring and Control of District Heating Systems , 2002, IEA/AIE.