5th Generation District Heating: A novel design approach based on mathematical optimization
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Dirk Müller | Peter Remmen | Marco Wirtz | Lukas Kivilip | D. Müller | Peter Remmen | Lukas Kivilip | Marco Wirtz
[1] Viktor Dorer,et al. Optimisation of a district energy system with a low temperature network , 2017 .
[2] Wandong Zheng,et al. Hydraulic performance optimization of meshed district heating network with multiple heat sources , 2017 .
[3] Qiong Wu,et al. Modeling and optimization of distributed energy supply network with power and hot water interchanges , 2016 .
[4] André Bardow,et al. Robust multi-objective optimization for sustainable design of distributed energy supply systems , 2017, Comput. Chem. Eng..
[5] Markus Bohlayer,et al. Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach , 2018 .
[6] Neven Duić,et al. Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating , 2018, Energy.
[7] Yun Yang,et al. Optimal design of distributed energy resource systems coupled with energy distribution networks , 2015 .
[8] André Bardow,et al. An adaptive discretization MINLP algorithm for optimal synthesis of decentralized energy supply systems , 2016, Comput. Chem. Eng..
[9] Jan Carmeliet,et al. A Study of District Heating Systems with Solar Thermal Based Prosumers , 2018, Energy Procedia.
[10] Masaki Nakao,et al. Thermal grid system and its field test in multiple buildings with individual heating and cooling facility , 2018, Energy Procedia.
[11] 韩再生,et al. 我国地热资源中长期战略研讨(2020,2030,2050) , 2009 .
[12] George Mavrotas,et al. Multi-objective optimization and comparison framework for the design of Distributed Energy Systems , 2019, Energy Conversion and Management.
[13] Lazaros G. Papageorgiou,et al. Optimal design and operation of distributed energy systems: Application to Greek residential sector , 2013 .
[14] Ryan Rogers,et al. Modeling of Low Temperature Thermal Networks Using Historical Building Data from District Energy Systems , 2019, Modelica.
[15] Matthias Sulzer,et al. "Dynamic analysis of the low-temperature district network ""Suurstoffi"" through monitoring" , 2015 .
[16] D. Stolten,et al. Time series aggregation for energy system design: Modeling seasonal storage , 2017, 1710.07593.
[17] Jan Carmeliet,et al. Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout , 2016 .
[18] Ibrahim Dincer,et al. Efficiency analysis of a cogeneration and district energy system , 2005 .
[19] Mary Ann Piette,et al. A thermodynamic analysis of a novel bidirectional district heating and cooling network , 2018 .
[20] Roberto Fedrizzi,et al. 5th generation district heating and cooling systems: A review of existing cases in Europe , 2019, Renewable and Sustainable Energy Reviews.
[21] Torben Schmidt Ommen,et al. Heat pump COP, part 2: generalized COP estimation of heat pump processes. , 2018 .
[22] Alexandra M. Newman,et al. Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems , 2013 .
[23] Eric S. Fraga,et al. An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study , 2015 .
[24] A. Boies,et al. Distributed energy resource system optimisation using mixed integer linear programming , 2013 .
[25] Masaki Nakao,et al. Estimation of the energy-saving effect of introducing a heat source water network system with single-loop piping utilizing hot spring heat , 2018, Energy Procedia.
[26] Tsuyoshi Murata,et al. {m , 1934, ACML.
[27] M. Stadler,et al. A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids , 2017 .
[28] Thomas Schütz,et al. Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis , 2018, Renewable Energy.
[29] William Ewart Henley,et al. OPERATION , 1973, ISO 22301:2019 and business continuity management – Understand how to plan, implement and enhance a business continuity management system (BCMS).
[30] Matthias Rommel,et al. Pumping power prediction in low temperature district heating networks , 2015 .
[31] Svend Svendsen,et al. The status of 4th generation district heating: Research and results , 2018, Energy.
[32] S. Dekker,et al. 5th generation district heating and cooling systems as a solution for renewable urban thermal energy supply , 2019, Advances in Geosciences.
[33] André Bardow,et al. Optimal (n-1)-reliable design of distributed energy supply systems , 2019, Comput. Chem. Eng..
[34] Fariborz Haghighat,et al. Optimization approaches in district heating and cooling thermal network , 2017 .
[35] Jose Manuel Cejudo-Lopez,et al. Selection of typical demand days for CHP optimization , 2011 .
[36] J. Olsen,et al. The European Commission , 2020, The European Union.
[37] Dirk Müller,et al. Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization , 2018 .
[38] Edoardo Amaldi,et al. A detailed MILP optimization model for combined cooling, heat and power system operation planning , 2014 .
[39] Louis Lamarche,et al. A new modeling approach for improved ground temperature profile determination , 2016 .
[40] Rita Streblow,et al. MIP approach for designing heating systems in residential buildings and neighbourhoods , 2016 .
[41] N. Woudstra,et al. Understanding the exergy of cold: theory and practical examples , 2010 .
[42] Viktor Dorer,et al. Modelling the Suurstoffi district based on monitored data to analyse future scenarios for energy self-sufficiency , 2016 .
[43] Patrick Lauenburg,et al. Prosumers in district heating networks – A Swedish case study , 2016 .
[44] Marco Mazzotti,et al. Optimal design of multi-energy systems with seasonal storage , 2017, Applied Energy.
[45] Marco Pellegrini,et al. The Innovative Concept of Cold District Heating Networks: A Literature Review , 2018 .
[46] Brian Vad Mathiesen,et al. The role of district heating in future renewable energy systems , 2010 .
[47] Brian Vad Mathiesen,et al. 4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .