A pixel-based approach to estimation of solar energy potential on building roofs

Li, Yan; Ding, Ding; Liu, Chunlu; Wang, Chongjie

doi:10.1016/j.enbuild.2016.08.025

Cited by 49 publications

(13 citation statements)

References 20 publications

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“…These technologies are costly and not suitable for newly designed buildings or living areas. Hence, a pixel-based approach is proposed to estimate solar potential on flat roofs which doesn't rely on technologies such as LiDAR, ALS, MLS [6]. In this study, buildings with flat roofs in a newly planned construction area are chosen as a case study.…”

Section: Related Workmentioning

confidence: 99%

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GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

Kaynak

Özmen

2020

IEEE Access

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Estimations of the solar potential from the building design files may affect placement considerations in favor of more sunlight reception that reduces the energy costs and saves the environment. In this study, a GPU based system (GPU-DSRM) is proposed to estimate direct and diffuse solar radiation aggregated on 3D structures at urban or individual scale. In the proposed approach, finite element method, back-face detection and ray-tracing algorithms are customized to run in parallel to reduce the execution time. Thus, real-time shadow analysis with adjustable sampling rate and time scale can be performed without compromising precision and accuracy of the estimations. The most important novel aspect of the study is that it can be used anywhere in the world without the need for meteorological data. Some of the test results obtained from a site with 10 buildings are presented in this paper that shows a speedup value of 45 with the new GPU-based implementation compared to the CPU-based model. The GPU-DSRM tool has also been compared with geometric tools in the literature. Solar energy potential analysis of building designs or existing urban formations can be completed faster and more precisely with this new approach.

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Section: Related Workmentioning

confidence: 99%

“…When geometric tools are examined, it is seen that there are few studies that perform radiation analysis of buildings in the design stage, consider the shadow effect [6], [7]. However, only the roofs of the buildings were focused and their facades were not taken into consideration in solar estimations.…”

Section: Introductionmentioning

confidence: 99%

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

Kaynak

Özmen

2020

IEEE Access

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“…Similarly, an interactive 3D visualization of the solar urban model [77] has been generated to calculate the solar irradiance distribution based on roof and building facades [78]. Later, Pavlovski et al [79] from a solar resource campus map and Li et al [80] in using a pixel-based approach quantify solar energy stored within an existing building's roof and infrastructures. As a major concern related to these approaches, their workflows are inclined towards the domain of environmental engineering, which predominantly uses ALS (Airborne LiDAR) datasets.…”

Section: Solar Radiation Analysismentioning

confidence: 99%

A computational workflow to analyse material properties and solar radiation of existing contexts from attribute information of point cloud data

Alkadri

Turrin

Sarıyıldız

2019

Building and Environment

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This paper investigates a prospective application of point cloud data in supporting the contextual analysis of the built environment during the conceptual design process. Often, the complexity of site information causes architects to neglect several relevant properties that may affect environmental performance analysis, especially when dealing with a complex design case. For example, the current approaches of 3D site modelling lack an understanding of the site characteristics of existing environments with respect to either geometrical or material properties. With the advancement of 3D laser scanning technologies, capturing complex information from real contexts offers great possibilities for architects. From geometric and radiometric information stored within point cloud data, this study specifically proposes a novel approach to contextual analysis that considers material aspects and simulates solar radiation in the real environment. In doing so, three computational stages are developed. First, the correction of a raw dataset is designed to not only minimize errors during the scanning process but to also clean the selected dataset. Second, material exploration and the simulation of solar radiation are respectively used to calculate material properties and solar energy in the existing built environment. Third, an integrated environmental simulation aims at identifying materials found in existing areas within a certain level of insolation. As a form of design decision-making support, the present study ultimately generates a computational workflow for analysing the built environment from which architects may conduct a comprehensive analysis of an existing context before initiating design exploration.

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“…Other PV systems integrated into buildings and data evaluation have also been described in a number of other references. There have been described design optimization of roof integrated PV systems [14], estimation of solar energy potential on building roofs [15], energy analysis of a solar house [16].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Defects of a Photovoltaic Power Plant Using a Drone

et al. 2019

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Drone infrared camera monitoring of photovoltaic (PV) power plants allows us to quickly see a large area and to find the worst defects in PV panels, namely cracked PV cells with broken contacts. Roofs are suitable for the integration of PV power plants into buildings. The power plant at the Czech University of Life Sciences in Prague, which was monitored by this method, does not show any significant defects, and the produced electric energy exceeds the expected values. On the contrary, the PV power plant in Ladná has visible defects, and the data monitoring system Solarmon-2.0 also indicates defects. Our newly developed data monitoring system Solarmon-2.0 has been successfully used in 65 PV power plants in the Czech Republic and in many PV power plants throughout the world. Data are archived and interpreted in our dispatch area at the Czech University of Life Sciences in Prague. The monitoring system can report possible failure(s) if the measured amount of energy differs from the expected value(s). The relation of the measured values of PV power to the PV panel temperature is justified, which is consistent with the physical theory of semiconductors.

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A pixel-based approach to estimation of solar energy potential on building roofs

Cited by 49 publications

References 20 publications

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans

A computational workflow to analyse material properties and solar radiation of existing contexts from attribute information of point cloud data

Monitoring of Defects of a Photovoltaic Power Plant Using a Drone

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