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作者机构:Univ Liege Dept Aerosp & Mech Engn B-4000 Liege Belgium Univ Liege Montefiore Inst B-4000 Liege Belgium
出 版 物:《ENERGIES》 (能源)
年 卷 期:2021年第14卷第17期
页 面:5575页
核心收录:
学科分类:0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理]
基 金:European Union European Funds for Regional Development (EFRD) Walloon region
主 题:district heating energy integration heat storage mixed integer linear programming multi-period optimization
摘 要:The implementation of district heating networks into cities is a main topic in policy planning that looks for sustainable solutions to reduce CO2 emissions. However, their development into cities is generally limited by a high initial investment cost. The development of optimization methods intended to draft efficient systems using heating consumption profiles into a prescribed geographic area are useful in this purpose. Such tools are already referred to in the scientific literature, yet they are often restricted to limit the computational load. To bridge this gap, the present contribution proposes a multi-period mixed integer linear programming model for the optimal outline and sizing of a district heating network maximizing the net cash flow based on a geographic information system. This methodology targets a large range of problem sizes from small-scale to large-scale heating networks while guaranteeing numerical robustness. For sake of simplicity, the developed model is first applied to a scaled down case study with 3 available heating sources and a neighborhood of 16 streets. The full-scale model is presented afterwards to demonstrate the applicability of the tool for city-scale heating networks with around 2000 streets to potentially connect within a reasonable computational time of around only one hour.