{"title":"Empirical modelling of variable capacity air-to-air heat pumps in trnsys","authors":"Gregor Strugala, M. Kummert, M. Kegel","doi":"10.1080/19401493.2022.2052964","DOIUrl":null,"url":null,"abstract":"Variable capacity heat pumps improve seasonal performance and operate at lower temperatures by varying their compressor speed to match their capacity to a specific thermal load. They constitute a great asset in our struggle to lower energy consumption and carbon emissions, especially in cold climates. However, being a more recent and complex technology, they are not easily integrated in the design of building energy systems as adequate models are lacking. A trnsys model for variable capacity air-to-air heat pumps (vcaahps) relying on performance maps and restricted to mini-split systems was therefore developed to streamline this design process and provide more accurate results. The model is presented first; it can reproduce most common heat pump behaviours – such as defrost and latent cooling. Then, a methodology relying on experimental data to supplement (often incomplete) manufacturer performance maps is provided. Finally, model usage is exemplified through a case study highlighting specific features and behaviours.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"24 1","pages":"616 - 633"},"PeriodicalIF":2.2000,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Building Performance Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19401493.2022.2052964","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Variable capacity heat pumps improve seasonal performance and operate at lower temperatures by varying their compressor speed to match their capacity to a specific thermal load. They constitute a great asset in our struggle to lower energy consumption and carbon emissions, especially in cold climates. However, being a more recent and complex technology, they are not easily integrated in the design of building energy systems as adequate models are lacking. A trnsys model for variable capacity air-to-air heat pumps (vcaahps) relying on performance maps and restricted to mini-split systems was therefore developed to streamline this design process and provide more accurate results. The model is presented first; it can reproduce most common heat pump behaviours – such as defrost and latent cooling. Then, a methodology relying on experimental data to supplement (often incomplete) manufacturer performance maps is provided. Finally, model usage is exemplified through a case study highlighting specific features and behaviours.
期刊介绍:
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies
We welcome building performance simulation contributions that explore the following topics related to buildings and communities:
-Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics).
-Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems.
-Theoretical aspects related to occupants, weather data, and other boundary conditions.
-Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid.
-Uncertainty, sensitivity analysis, and calibration.
-Methods and algorithms for validating models and for verifying solution methods and tools.
-Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics.
-Techniques for educating and training tool users.
-Software development techniques and interoperability issues with direct applicability to building performance simulation.
-Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.