Evaluation of Two Solar Radiation Algorithms on 3D City Models for Calculating Photovoltaic Potential

Murshed, Syed Monjur; Simons, Alexander; Lindsay, A.; Picard, Solène; Pin, Céline De

doi:10.5220/0006789702960303

Cited by 7 publications

(4 citation statements)

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“…The direct relationship of the Utility Network ADE with CityGML opens a great possibility of integrating network functionality within pre-existing smart city models that already operate based on a CityGML-based semantic city data model. For instance, a simulation of heat gains and losses via solar irradiance, such as that conducted in (Murshed et al, 2018), could be expanded to model and optimize local energy grid as the individual energy demand on each building grows and wanes over time. The current version of the Utility Network ADE, as well as the ancillary set of tools (database schema, data layers, routing functions, etc.)…”

Section: Discussionmentioning

confidence: 99%

Network Modelling and Semantic 3d City Models: Testing the Maturity of the Utility Network Ade for Citygml With a Water Network Test Case

Boates

Agugiaro

Nichersu

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Recent advances in semantic 3D city modelling and a demand from utility network operators for multi-utility data models integration have contributed to the emergence of an open Application Domain Extension (ADE) of the CityGML data model tailored to multiple types of utility networks. This extension, called the Utility Network ADE, is still in active development. However, work is already well underway to create data samples and to develop methods of modelling thereupon. In this paper, a mapping of the Utility Network ADE data model to a relational database schema is introduced. A sample of a freshwater network using the Utility Network ADE and based on data from the city of Nanaimo, Canada, is also presented. This sample has also been imported into a relational database schema built upon the 3DCityDB (a database implementation of CityGML) extended with a schema of the Utility Network ADE. Further to this, a series of basic network analysis functions have been defined and implemented in SQL to interact with the database so as to carry out sample atomic processes involved in network modelling, such as reading semantic properties of elements, calculating composite physical parameters of the network as a whole, and performing simple topological routing to serve as a guiding example for further and more complex development. A brief outlook is also presented, suggesting areas with high potential for future research and development of this nascent data model.</p>

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Section: Discussionmentioning

confidence: 99%

Network Modelling and Semantic 3d City Models: Testing the Maturity of the Utility Network Ade for Citygml With a Water Network Test Case

Boates

Agugiaro

Nichersu

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Buyuksaliha et al [133] estimated the solar energy potential of buildings in Istanbul city (façade and rooftop) using 3D modelling. Murshed et al [134] evaluated the hourly solar irradiance by using two algorithms on 3D city models. The researchers improved the previous modelling approach to achieve the aim of the study.…”

Section: Estimating Solar Radiation Using Gismentioning

confidence: 99%

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

et al. 2021

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The development of sustainable energy systems is very important to addressing the economic, environmental, and social pressures of the energy sector. Globally, buildings consume up to 40% of the world’s total energy. By 2030, it is expected to increase to 50%. Therefore, the world is facing a great challenge to overcome these problems related to global energy production. Malaysia is one of the top consumers of primary energy in Asia. In 2018, primary energy consumption for Malaysia was 3.79 quadrillion btu at an average annual rate of 4.58%. In this paper, we have carried out a detailed literature review on several previous studies of energy consumption in the world, especially in Malaysia, and how geographical information system (GIS) methods have been used for the spatial assessment of energy efficiency. Indeed, strategies of energy efficiency are essential in energy policy that could be created using various approaches used for energy savings in buildings. The findings of this review reveal that, for estimating energy consumption, exploring renewable energy sources, and investigating solar radiation, several geographic information system techniques such as multiple criteria decision analysis (MCDA), machine learning (ML), and deep learning (DL) are mainly utilized. The result indicates that the fuzzy DS method can more reliably determine the optimal PV farm locations. The 3D models are also regarded as an effective tool for estimating solar radiation, since this method generates a 3D model exportable to software tools. In addition, GIS and 3D can contribute to several purposes, such as sunlight access to buildings in urban areas, city growth prediction models and analysis of the habitability of public places.

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“…They are collected from the Meteonorm 7.1 software on a Typical Meteorological Year (TMY3) ( [29]). The average monthly solar radiation for every building surface is calculated from the PLANTING model [30,31]. It performs numeric calculation on hourly incoming solar radiation and energy production from photovoltaic panels on the horizontal and vertical surfaces of the buildings, by considering the shading from the neighboring buildings or terrains.…”

Section: Required Input Data and Data Handlingmentioning

confidence: 99%

Modelling, Validation and Quantification of Climate and Other Sensitivities of Building Energy Model on 3D City Models

Murshed

Picard

Koch

2018

IJGI

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New planning tools are required to depict the complete building stock in a city and investigate detailed measures on reaching local and global targets to improve energy efficiency and reduce greenhouse gas emissions. To pursue this objective, ISO (the International Organization for Standardization) 13790:2008 monthly heating and cooling energy calculation method is implemented using geometric information from 3D city models (e.g., CityGML format) in an open source software architecture. A model is developed and applied in several urban districts with different number of 3D buildings in various cities. The model is validated with the simulation software TRNSYS. We also perform a sensitivity analysis to quantify the impact of climate change and other physical and behavioral factors on modelling results. The proposed approach can help to perform city or district-wide analysis of the building energy needs and prepare different renovation plans to support decision-making, which finally will enhance the livability of a city and the quality of life of the citizens.

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Evaluation of Two Solar Radiation Algorithms on 3D City Models for Calculating Photovoltaic Potential

Cited by 7 publications

References 0 publications

Network Modelling and Semantic 3d City Models: Testing the Maturity of the Utility Network Ade for Citygml With a Water Network Test Case

Network Modelling and Semantic 3d City Models: Testing the Maturity of the Utility Network Ade for Citygml With a Water Network Test Case

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

Modelling, Validation and Quantification of Climate and Other Sensitivities of Building Energy Model on 3D City Models

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