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

Mertz, Théophile; Serra, Sylvain; Hénon, Aurélien; Reneaume, Jean-Michel

doi:10.1016/j.energy.2016.07.106

Cited by 59 publications

(47 citation statements)

References 15 publications

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“…The sign function in Eqs. (9) and (10) can be then eliminated and the original nonlinear problem can be converted into a mixed integer linear programming problem (MILP) [33][34][35]. The YALMIP toolbox [36] and the CPLEX solver are applied to solve this MILP problem.…”

Section: Optimization Objective and Parameters Of The Systemmentioning

confidence: 99%

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

Chen

Zhao

2017

Applied Thermal Engineering

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Section: Optimization Objective and Parameters Of The Systemmentioning

confidence: 99%

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

Chen

Zhao

2017

Applied Thermal Engineering

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“…Mertz et al formulated an MINLP problem in steady state to optimise the configuration and the design of a DHS with the objective of minimising the total cost of the DH network more than 30 years. The total cost includes both investment cost (line, trench, HP, and HX) and operation costs, such as heating and pumping costs.…”

Section: Overview Of the Optimisation Models In The Literaturementioning

confidence: 99%

A review of modelling and optimisation techniques for district heating systems

2019

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Summary This article provides an extensive survey on the modelling and optimisation of district heating systems (DHSs) focused on the heat distribution network. For this purpose, the major components of a DHS have been described and discussed, and their modelling has been briefly reviewed, including numerical simulation models for heat sources, end‐users, and especially the distribution network. The main deterministic and heuristic optimisation techniques are briefly described. Additionally, a single‐objective and multiobjective optimisation problem is generally formulated, and the main optimisation criteria for the design and operation of the distribution network are synthesised and analysed. The state of the art in DHS optimisation has been also reviewed and categorised. Finally, some recommendations for future developments were included.

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“…Total pressure drop is the sum of linear (due to frictions) and singular (bends, junctions, exchangers) pressure drops. In this paper, the singular pressure drops are assumed to represent 30% of total pressure drop as proposed by Mertz et al [23] (Equation 13).…”

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confidence: 99%

Exergy Analysis and Optimization of a Combined Heat and Power Geothermal Plant

et al. 2019

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This paper presents the optimization of parallel distribution between electricity and heat production for a geothermal plant. The geothermal fluid is split into two streams, one used for an Organic Rankine Cycle (ORC) system, and the other for a District Heating Network (DHN). The superstructure to be used for the optimization problem includes the ORC components and the DHN topology constituted by a definite consumer and optional consumers. A Mixed Integer Non-Linear Programming (MINLP) optimization problem is formulated and solved using the GAMS software. This paper is focused on exergetic aspect. The main lines for formulation of the problem are reminded, yet the exergetic model is fully described. Exergy analysis is performed for two optimal solutions (economic and exergetic objective functions). Results for both optimizations are first compared. The analysis of exergetic efficiency of the ORC and the DHN may suggest that exergetic optimization privileges the system with the highest efficiency: the ORC. The DHN configuration is then the smallest as possible. Finally, a sensitive analysis is performed for the exergetic optimization. This analysis reveals our previous conclusion is not necessarily true. Taller configuration can exist even if ORC efficiency is higher than DHN efficiency. These results highlight the relevance of using an optimization approach for a Combined Heat and Power (CHP) plant.

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

Cited by 59 publications

References 15 publications

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

Heat recovery and storage installation in large-scale battery systems for effective integration of renewable energy sources into power systems

A review of modelling and optimisation techniques for district heating systems

Exergy Analysis and Optimization of a Combined Heat and Power Geothermal Plant

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