Data for the optimization model for the integration of heat sources and sinks into district heating and cooling

The optimization model was developed in the General Algebraic Modelling
System (GAMS, version 24.8.3) using the CPLEX solver, version 12.7.0.0. The software code can be found at the provided link. Input data can be found here. The purpose of the model is to investigate which heat sources, heat sinks and/or
combination of them are best suited for heat pumps and chillers to supply district heating and cooling. Mixed-integer
linear programming was used to carry out an annual optimization on an hourly
basis to minimize total annualized costs. The model takes investment costs, operating
and maintenance (O&M) costs, short-term hot and cold water storage,
seasonal temperature variations of heat sources, heat sinks and the district heating network,
capacity limitations of the heat sources/sinks as well as the distance from the
heat sources/sinks to the district heating and cooling network into account. The model was developed with the intention of using it during an early
planning stage of a new district heating and/or district cooling area when details about required production
capacity are unknown and no decision about the heat source and heat sink has
been made.

该优化模型在通用代数建模系统（GAMS，版本24.8.3）中开发，并采用CPLEX求解器（版本12.7.0.0）进行求解。软件代码可从提供的链接获取。输入数据可在此处找到。模型旨在探究哪些热源、冷源及其组合最适合为热泵和制冷机提供区域供热和制冷服务。通过混合整数线性规划，模型在年度尺度上以小时为时间步长进行优化，以最小化年度总成本。模型考虑了投资成本、运营与维护（O&M）成本、短期热水和冷水储存、热源、冷源及区域供热网络的季节性温度变化、热源/冷源的容量限制以及热源/冷源与区域供热和制冷网络的距离等因素。该模型旨在在新的区域供热和/或区域制冷区域早期规划阶段使用，此时所需生产能力的细节尚不明确，且尚未就热源和冷源作出决策。