2022
DOI: 10.3390/en16010119
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Optimization of Urban-Scale Sustainable Energy Strategies to Improve Citizens’ Health

Abstract: Sustainable energy strategies have been a critical subject for sustainable development, especially in cities. Citizens, as an integral part of the urban environment, play a significant role in urban spaces, as does their health. An accurate understanding of citizens’ mental, social, and physical health in urban settings is required to design and plan better cities. This study aims to assess the level of alignment with health factors in Mahabad, a major medium-sized city in Iran. Previous studies indicate that … Show more

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Cited by 8 publications
(8 citation statements)
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References 49 publications
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“…Trees, a traditional and natural component of cities, could have similar effects as wall vegetation for cooling indoor spaces; this idea has the theoretical support of the present study's findings [28]. They might be also enjoyable in psychology and health [29].…”
Section: The Proposal Of Tree Cooling Pond Effect (Tcp) and Its Poten...supporting
confidence: 83%
“…Trees, a traditional and natural component of cities, could have similar effects as wall vegetation for cooling indoor spaces; this idea has the theoretical support of the present study's findings [28]. They might be also enjoyable in psychology and health [29].…”
Section: The Proposal Of Tree Cooling Pond Effect (Tcp) and Its Poten...supporting
confidence: 83%
“…While deep learning and reinforcement learning have shown promising individual potential in architectural design, integrating their strengths can yield more robust and optimized solutions [84][85][86][87][88][89][90]. Deep learning models can capture the complex relationships between design parameters and energy performance, providing valuable insights to guide the reinforcement learning agent's exploration [91][92][93][94][95]. Conversely, the reinforcement learning agent can leverage the deep learning model's predictions to strategically optimize the design, iteratively refining the solutions to achieve energy efficiency targets [96][97][98].…”
Section: Synergistic Integration Of Deep Learning and Reinforcement L...mentioning
confidence: 99%
“…Green buildings also utilize renewable energy sources (RES)-technologies to generate electricity and heat, contributing to energy autonomy and safety [28]. The use of RES can significantly reduce the carbon footprint of a building and reduce its reliance on non-renewable energy sources.…”
Section: Literature Reviewmentioning
confidence: 99%
“…High-efficiency lighting and appliances can reduce energy consumption while maintaining comfortable indoor conditions [43]. Renewable energy sources, such as solar panels and wind turbines, can reduce the reliance on fossil fuels and reduce the emission of pollutants [28].…”
Section: Energy Optimization Strategies For Green Buildingsmentioning
confidence: 99%