A novel Energy Resources Allocation Management model for air pollution reduction
Armita Khorsandi1,2, Liping Li1,2
1Injury Prevention Research Centre, Shantou University Medical College, Shantou, China.
Frontiers in Public Health
|January 23, 2023
Summary
A new Energy Resources Allocation Management (ERAM) model optimizes energy distribution to significantly cut air pollution in Tehran. This innovative approach reduces contaminants without impacting energy access or requiring citizen participation.
Area of Science:
- Environmental Science
- Energy Systems Engineering
- Mathematical Modeling
Background:
- Tehran faces persistent air pollution challenges despite global pandemic-related reductions.
- Identifying key factors driving high contaminant concentrations is crucial for effective mitigation.
Purpose of the Study:
- To propose a novel mathematical model for air pollution reduction in Tehran.
- To develop an energy resource allocation framework that avoids citizen participation, energy limitations, or additional costs.
Main Methods:
- Introduction of the Energy Resources Allocation Management (ERAM) model.
- Simulation of the ERAM model based on fuel demand, emission rates per energy type, and user contributions.
- Case study application in Tehran, analyzing mobile and stationary emission sources.
Main Results:
- The ERAM model demonstrated feasibility in a real-world Tehran case study.
- Analysis identified major contributors to particulate matter and nitrogen dioxide, including vehicles and industrial/residential sectors.
- The ERAM model's application to fuel distribution achieved a notable reduction in Tehran's air pollution by up to 14%.
Conclusions:
- The ERAM model offers an effective, cost-neutral strategy for reducing urban air pollution.
- Optimized energy resource allocation is a viable method for improving air quality in megacities like Tehran.
Keywords:
Energy Resources Allocation Management (ERAM)Tehranair pollution reductionparticulate matter (PM)simulation-optimization modelMore Related Videos
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