Waste collection route optimisation for the second waste-to-energy plant in Budapest

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2024-11-05 DOI:10.1016/j.scs.2024.105953

Kende Kocsis , József Kövendi , Balázs Bokor

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引用次数: 0

Abstract

The city of Budapest produces approximately 680–700 000 tonnes of municipal solid waste every year, of which <2/3 is being recycled or used for energetic purposes, the rest ends up in a landfill. To combat this environmental and logistical problem the installation of a second waste incineration plant has been proposed in the south of the city. The only cost associated with fuel consumption in the case of waste to energy powerplants (WtE plants) is the transport cost, as the city council provides economic support for waste disposal. Since the transportation has a huge influence on the cost of opertation, logistical optimisation of the transport routes promises a direct impact on cost savings. In this study the logistical optimisation of the Southern Budapest area was carried out using image processing and logic based algorithm programming. As a result the optimal transport of 230 000 tonnes of municipal solid waste (MSW) was solved resulting in a 4 835.2 km monthly travel distance reduction.This value can be translated to 7 823 €/month cost, 9 459.6 kg/month CO₂ and 45.3 kg/month NO_x emissions reduction in the urban areas.

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优化布达佩斯第二座垃圾发电厂的垃圾收集路线

布达佩斯市每年产生约 680-700 000 吨城市固体废物，其中 2/3 被回收或用于能源目的，其余的最终被填埋。为了解决这一环境和物流问题，有人建议在城市南部安装第二座垃圾焚烧厂。在垃圾焚烧发电厂（WtE 工厂）中，与燃料消耗相关的唯一成本是运输成本，因为市议会为垃圾处理提供经济支持。由于运输对运营成本有很大影响，因此运输路线的物流优化对节约成本有直接影响。在这项研究中，布达佩斯南部地区的物流优化采用了图像处理和逻辑算法编程。结果，解决了 23 万吨城市固体废物 (MSW) 的最佳运输问题，每月减少了 4 835.2 千米的运输距离，这一数值可转化为 7 823 欧元/月的成本、9 459.6 千克/月的二氧化碳排放量和 45.3 千克/月的城市氮氧化物排放量。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;