L. Bottecchia, M. Dallapiccola, L. Kranzl, P. Zambelli
{"title":"Discussing the needs of high resolution data: their impact in evaluating solar potential considering the horizon height","authors":"L. Bottecchia, M. Dallapiccola, L. Kranzl, P. Zambelli","doi":"10.1080/19401493.2023.2195838","DOIUrl":null,"url":null,"abstract":"The need for high-resolution data is exponentially growing in the current energy transition. In this sense, geographic information system tools are crucial for a more precise evaluation of solar energy potentials in complex urban environments. Thus, this work aims to provide novel insights into the need for high-resolution data and understand when and where these are required. The work analyses the impact of the horizon height of the surrounding areas as well as the more distant obstacles in evaluating the solar potential in three given locations in Bolzano, Italy starting from a high-resolution digital surface model. It was found that the more complex the location is, the more a spatially explicit approach with high-resolution data is required to detect the impact of the surrounding buildings. More importantly, it substantially affects the hourly availability of solar energy, which is crucial when simulating and dimensioning integrated systems at the building level.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"1 1","pages":"705 - 716"},"PeriodicalIF":2.2000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Building Performance Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19401493.2023.2195838","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: 0
Abstract
The need for high-resolution data is exponentially growing in the current energy transition. In this sense, geographic information system tools are crucial for a more precise evaluation of solar energy potentials in complex urban environments. Thus, this work aims to provide novel insights into the need for high-resolution data and understand when and where these are required. The work analyses the impact of the horizon height of the surrounding areas as well as the more distant obstacles in evaluating the solar potential in three given locations in Bolzano, Italy starting from a high-resolution digital surface model. It was found that the more complex the location is, the more a spatially explicit approach with high-resolution data is required to detect the impact of the surrounding buildings. More importantly, it substantially affects the hourly availability of solar energy, which is crucial when simulating and dimensioning integrated systems at the building level.
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.