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. I...

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Published in:	Energy (Oxford) Vol. 117; pp. 450 - 464
Main Authors:	Mertz, Théophile, Serra, Sylvain, Henon, Aurélien, Reneaume, Jean-Michel
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.12.2016 Elsevier BV Elsevier
Subjects:	Centralized or decentralized heat productions Chemical and Process Engineering Consumers in potential cascade connection cost effectiveness Cost reduction Design Design optimization District heating District Heating Network (DHN) Engineering Sciences Heat exchangers Heat loss heat production Heating Integer programming Low temperature Mixed integer Mixed integer non-linear programming (MINLP) Nonlinear programming Operating costs Optimization Pressure Pressure drop Pumping Steady state Studies temperature Temperature effects Temperature requirements Total cost analysis “Isolated collective” heat production “Isolated collective” heat production Centralized or decentralized heat productions Consumers in potential cascade connection Mixed integer non-linear programming (MINLP) Total cost analysis District Heating Network (DHN)
ISSN:	0360-5442, 1873-6785
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Abstract	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). One of the outputs of these academic study cases is the layout of the DHN, supplied in parallel or in cascade: a consumer with hot temperature requirement can supply another consumer with lower temperature requirement. Even a looped network in cascade is optimal (−4.6% total cost reduction) when the cost of the trench is lower than 500 €/m. Furthermore, different structures are optimal (between −4 and −8% of total cost reduction) depending on whether the heat production(s) are decentralized, centralized, isolated collective, renewable or not. Finally the balance between heat loss and pressure drop is detailed. •A combinatory non-linear optimization in steady state is performed.•Optimization of the topology and the sizing at the same stage.•Potential to reduce the total cost when allowing the cascade of consumers.•Isolated consumer: centralized, decentralized or isolated heat supply.•Academic study case to illustrate the ability of this optimization formulation.
AbstractList	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). One of the outputs of these academic study cases is the layout of the DHN, supplied in parallel or in cascade: a consumer with hot temperature requirement can supply another consumer with lower temperature requirement. Even a looped network in cascade is optimal (-4.6% total cost reduction) when the cost of the trench is lower than 500 €/m. Furthermore, different structures are optimal (between -4 and -8% of total cost reduction) depending on whether the heat production(s) are decentralized, centralized, isolated collective, renewable or not. Finally the balance between heat loss and pressure drop is detailed. 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). One of the outputs of these academic study cases is the layout of the DHN, supplied in parallel or in cascade: a consumer with hot temperature requirement can supply another consumer with lower temperature requirement. Even a looped network in cascade is optimal (-4.6% total cost reduction) when the cost of the trench is lower than 500m. Furthermore, different structures are optimal (between -4 and -8% of total cost reduction) depending on whether the heat production(s) are decentralized, centralized, isolated collective, renewable or not. Finally the balance between heat loss and pressure drop is detailed. \textcopyright 2016 Elsevier Ltd 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).One of the outputs of these academic study cases is the layout of the DHN, supplied in parallel or in cascade: a consumer with hot temperature requirement can supply another consumer with lower temperature requirement. Even a looped network in cascade is optimal (−4.6% total cost reduction) when the cost of the trench is lower than 500 €/m. Furthermore, different structures are optimal (between −4 and −8% of total cost reduction) depending on whether the heat production(s) are decentralized, centralized, isolated collective, renewable or not. Finally the balance between heat loss and pressure drop is detailed. 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). One of the outputs of these academic study cases is the layout of the DHN, supplied in parallel or in cascade: a consumer with hot temperature requirement can supply another consumer with lower temperature requirement. Even a looped network in cascade is optimal (−4.6% total cost reduction) when the cost of the trench is lower than 500 €/m. Furthermore, different structures are optimal (between −4 and −8% of total cost reduction) depending on whether the heat production(s) are decentralized, centralized, isolated collective, renewable or not. Finally the balance between heat loss and pressure drop is detailed. •A combinatory non-linear optimization in steady state is performed.•Optimization of the topology and the sizing at the same stage.•Potential to reduce the total cost when allowing the cascade of consumers.•Isolated consumer: centralized, decentralized or isolated heat supply.•Academic study case to illustrate the ability of this optimization formulation.
Author	Serra, Sylvain Reneaume, Jean-Michel Mertz, Théophile Henon, Aurélien
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Copyright	2016 Elsevier Ltd Copyright Elsevier BV Dec 15, 2016 Distributed under a Creative Commons Attribution 4.0 International License
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Keywords	“Isolated collective” heat production Centralized or decentralized heat productions Consumers in potential cascade connection Mixed integer non-linear programming (MINLP) Total cost analysis District Heating Network (DHN)
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Snippet	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...
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SubjectTerms	Centralized or decentralized heat productions Chemical and Process Engineering Consumers in potential cascade connection cost effectiveness Cost reduction Design Design optimization District heating District Heating Network (DHN) Engineering Sciences Heat exchangers Heat loss heat production Heating Integer programming Low temperature Mixed integer Mixed integer non-linear programming (MINLP) Nonlinear programming Operating costs Optimization Pressure Pressure drop Pumping Steady state Studies temperature Temperature effects Temperature requirements Total cost analysis “Isolated collective” heat production
Title	A MINLP optimization of the configuration and the design of a district heating network: Academic study cases
URI	https://dx.doi.org/10.1016/j.energy.2016.07.106 https://www.proquest.com/docview/1932246229 https://www.proquest.com/docview/2000352307 https://hal.science/hal-02129508
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