Analysis Of Solar Radiation Towards Optimization and Location Of The Urban Blocks In The Neighborhood Units

Abstract

Increasing population causes Energy consumption and environmental pollution. It is essential to consider renewable forms of energy, especially solar power, to reduce energy consumption. This requires attention to energy issues in the early stages of urban design and practical and creative solutions for more efficient use of this type of energy. This study aims at calculating the annual solar radiation at a city scale through a novel process and methodology. In this regard, artificial intelligence algorithms and satellite data can help maximize the amount of sunlight in neighborhoods and urban blocks in neighborhood units during the development process. In the simulation process, location, and optimization of the urban form, it is necessary to consider the limitations and resources for field study and simulation of urban blocks. Therefore, in this study, Farhangian neighborhood in phase 1 of Kermanshah, Iran, which has a good level of structural diversity and lends itself to field studies, was selected and studied at neighborhood and urban block scales. The case study indicates the significant role of calculating and optimizing the patterns of urban blocks to achieve maximum solar energy. Estimates at different levels show that urban block variables effectively access solar radiation energy and, given various scales of development - from macro-scale spatial planning to micro-scale local design - can improve energy intake by 3 to 5 percent. Accordingly, the results show that to accelerate the calculation of energy at the planning scale, the use of 2.5D locating model and 3D optimization contribute to achieving the maximum or minimum solar radiation, respectively. On the other hand, this method can be used to organize calculations and planning for maximum absorption of solar radiation at different stages of development.

An Estimation of the Available Spatial Intensity of Solar Energy in Urban Blocks in Wuhan, China

“…The specific parameters are shown in Table 3. Referring to the study of Omid Veisi et al [64] on the calculation method of solar radiation in blocks, the formula for calculating the SRI is shown in Equation (1).…”

An Energy-Saving-Oriented Approach to Urban Design—Application in the Local Conditions of Poznań Metropolitan Area (Poland)

“…Some authors have made attempts to identify the key indicators of access to solar energy in housing estates in different climatic zones [30][31][32][33]. The last year has seen particularly intense interest from research teams on solar access planning issues [34], solar energy systems with energy storage [35], the analysis of urban initiatives affecting energy consumption and the absorption of solar energy [36], and the location of urban blocks in neighborhood units in relation to solar radiation [37].…”

Using Remote Sensing and Big Data to Analysis Direct Solar Radiation Impacts on the Spread of Covid-19 (Case Studies: Six States of the United States)

“…As stated before, the data collection method refers to the database of Big Data, and the method of data analysis is based on spatial analysis. The ArcMap software V10.8 from Esri's company was used for analyzing solar radiation by Area Solar Radiation Tools Veisi and Shakibamanesh (2022). In order to investigate the relationship between research variables, the correlation analysis method in the R software has been adopted.…”