当前位置: X-MOL 学术Environ. Model. Softw. › 论文详情
A water resource simulator in Python
Environmental Modelling & Software ( IF 4.552 ) Pub Date : 2020-01-20 , DOI: 10.1016/j.envsoft.2020.104635
J.E. Tomlinson; J.H. Arnott; J.J. Harou

A new generalised water resource network modelling Python library, Pywr, is presented. The model uses a low-level interface to existing linear programming solvers for fast optimisation-driven simulation of complex water systems. The library uses an object based system for users to provide input data and record simulation outputs. A novel multi-scenario simulation method provides an almost 4-fold improvement in model run-times and supports calculating robustness metrics across scenarios. A flexible interface to specify multi-objective optimisation formulations as part of a model’s input file is included. These features enable analysts to apply advanced water planning approaches, such as robust decision making and robust optimisation, to real systems. The library is available under the GPLv3 open source licence, includes several examples and a regression test suite.
更新日期:2020-01-21

 

全部期刊列表>>
智控未来
聚焦商业经济政治法律
跟Nature、Science文章学绘图
控制与机器人
招募海内外科研人才,上自然官网
中洪博元
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
湖南大学化学化工学院刘松
上海有机所
李旸
南方科技大学
西湖大学
伊利诺伊大学香槟分校
徐明华
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug