PyLESA : a Python modelling tool for planning-level local, integrated, and smart energy systems analysis
Lyden, Andrew and Flett, Graeme and Tuohy, Paul G. (2021) PyLESA : a Python modelling tool for planning-level local, integrated, and smart energy systems analysis. SoftwareX, 14. 100699. ISSN 2352-7110 (https://doi.org/10.1016/j.softx.2021.100699)
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Abstract
PyLESA is a modelling tool for the planning-level design of local, integrated and smart energy systems. It was developed to tackle gaps in existing planning-level tools: (i) adaptable and transparent source code; (ii) temperature dependence for heat pump models; (iii) stratification model for thermal storage models; (iv) modelling of evolving electricity markets; and (v) model predictive control. PyLESA uses a flexible object-orientated approach to model thermal and electrical supply, demand, and storage technologies following fixed order and model predictive control strategies. Functionality is illustrated to size heat pumps and hot water tanks for a wind power integrated district heating system.
ORCID iDs
Lyden, Andrew ORCID: https://orcid.org/0000-0002-0986-8426, Flett, Graeme ORCID: https://orcid.org/0000-0002-8255-5223 and Tuohy, Paul G. ORCID: https://orcid.org/0000-0003-4850-733X;-
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Item type: Article ID code: 76142 Dates: DateEvent30 June 2021Published24 April 2021Published Online19 April 2021AcceptedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 19 Apr 2021 11:51 Last modified: 30 Aug 2024 01:06 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/76142