A MINLP optimization of the configuration and the design of a district heating network: Academic study cases

The aim of this work is to propose a tool for the design assistance of District Heating Network (DHN). Two goals of DHN optimization are handled simultaneously: the optimization of the configuration and its design. The optimization objective is to minimize the global cost of the DHN over 30 years. It includes both operating costs (heating and pumping cost, including thermal losses and pressure drop) and investment costs (line, trench, heating plant, heat exchanger). The formulation leads to a mixed integer non-linear programming (MINLP) problem in steady state. The model is solved with DICOPT within GAMS (around 5s for this study cases).

[1]  Benny Bøhm,et al.  Operational optimization in a district heating system , 1995 .

[2]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[3]  François Maréchal,et al.  Methods for multi-objective investment and operating optimization of complex energy systems , 2012 .

[4]  I. Grossmann,et al.  MINLP model for cyclic multiproduct scheduling on continuous parallel lines , 1991 .

[5]  John J.J. Chen.  Comments on improvements on a replacement for the logarithmic mean , 1987 .

[6]  Arne Stolbjerg Drud,et al.  CONOPT - A Large-Scale GRG Code , 1994, INFORMS J. Comput..

[7]  Patrick Sebastian,et al.  Modélisation du comportement thermique dynamique des bâtiments : un outil adapté à l’échelle patrimoniale et à la problématique de rénovation. , 2012 .

[8]  Jean-Michel Reneaume,et al.  A Mixed Integer Nonlinear Programming Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Nonequilibrium Model , 2006 .

[9]  Elisa Guelpa,et al.  Optimal operation of large district heating networks through fast fluid-dynamic simulation , 2016 .

[10]  Jan Carmeliet,et al.  Multi-objective optimization of the design and operation of an energy hub for the Empa campus , 2015 .

[11]  Jan Carmeliet,et al.  Energy hub modeling for the design of solar thermal energy systems with short-term and long-term storage , 2015 .

[12]  Serge Domenech,et al.  Minimizing water and energy consumptions in water and heat exchange networks , 2012 .

[13]  Nilay Shah,et al.  Optimisation based design of a district energy system for an eco-town in the United Kingdom , 2011 .

[14]  Ignacio E. Grossmann,et al.  Simultaneous optimization models for heat integration. III, Process and heat exchanger network optimization , 1990 .

[15]  Sven Leyffer,et al.  Solving mixed integer nonlinear programs by outer approximation , 1994, Math. Program..

[16]  Ignacio E. Grossmann,et al.  Part II. Future perspective on optimization , 2004, Comput. Chem. Eng..

[17]  Dagnija Blumberga,et al.  Development of District Heating System in Case of Decreased Heating Loads , 2014 .

[18]  Michael R. Bussieck,et al.  MINLP Solver Software , 2011 .

[19]  Daniel Favrat,et al.  Environomic multi-objective optimisation of a district heating network considering centralized and decentralized heat pumps , 2010 .

[20]  Pauline Gabillet,et al.  Energy supply and urban planning projects: Analysing tensions around district heating provision in a French eco-district , 2015 .

[21]  Philippe Dessante,et al.  Technico‐Economic Optimization of Energy Networks , 2013 .

[22]  François Maréchal,et al.  Multi-objectives, multi-period optimization of district energy systems: I. Selection of typical operating periods , 2014, Comput. Chem. Eng..

[23]  Ignacio E. Grossmann,et al.  Retrospective on optimization , 2004, Comput. Chem. Eng..

[24]  Frank Pettersson,et al.  Structural and operational optimisation of distributed energy systems , 2006 .