THE DEVELOPMENT OF A GIS-BASED FRAMEWORK TO LOCATE BIOMASS AND MUNICIPAL SOLID WASTE COLLECTION POINTS FOR AN OPTIMAL WASTE CONVERSION FACILITY

被引:3
|
作者
Patel, Prashant [1 ]
Vaezi, Mahdi [1 ,2 ]
Sebastian, Roshni Mary [1 ]
Kumar, Amit [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada
[2] Northern Illinois Univ, Dept Engn Technol, De Kalb, IL 60115 USA
关键词
Biomass; Biorefinery; GIS; suitability analysis; Integrated methodology; Municipal solid waste; Sustainability; Waste management; Waste-to-energy; LANDFILL SITE SELECTION; BIOENERGY FACILITIES; ENERGY; RESIDUE; SYSTEM; FUZZY; PLANT; GENERATION; RESOURCES; TURKEY;
D O I
10.13031/trans.14253
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Quantifying the availability of feedstock and determining an optimal location are key to ensuring the sustainability of a waste to value-added (W2VA) facility. This study aims to identify lignocellulosic biomass (agricultural and forest residues) and municipal solid waste (MSW) potential, find geographical point-source locations for the distributed biomass, and identify optimal locations for W2VA facilities across the province of Alberta, Canada, using an integrated geographic information system (GIS) based approach. MSW potential is estimated using population and average annual waste generation per capita, while agriculture and forest residue are estimated using production data and harvesting residue factor. A GIS-based framework is developed to locate biomass collection points by latitude and longitude for distributed biomass and to estimate their associated biomass potential. An integrated framework is subsequently developed to optimally locate W2VA facilities that have minimal environmental, economic, and social impacts. An array of geographical constraints is then considered in a suitability analysis and network analysis framework. An estimate of the annual availability of feedstock using the most recent data shows MSW, agricultural residue, and forest residue potentials of 4,330,000 wet megagrams (Mg), 4,060,000 dry Mg, and 2,070,000 dry Mg, respectively, in Alberta. Optimal W2VA facility locations are identified for Alberta's Industrial Heartland (AIH) considering waste heat from the areas as an additional energy source. Ten other locations where facilities can be operated sustainably are identified across the province. This study can be used as a framework by municipalities and communities in any jurisdiction in the world to geographically locate biomass source and collection points, along with their annual capacity, and the corresponding optimal site for a W2VA facility.
引用
收藏
页码:1671 / 1691
页数:21
相关论文
共 50 条
  • [1] GIS-based modelling for the estimation of municipal solid waste generation and collection
    Karadimas, Nikolaos V.
    Loumos, Vassili G.
    [J]. WASTE MANAGEMENT & RESEARCH, 2008, 26 (04) : 337 - 346
  • [2] GIS-based tools for optimising municipal solid waste collection and transportation routes
    Fatima, Samra
    Ash'aari, Zulfa Hanan
    Ramli, Mohammad Firuz
    Sharaai, Amir Hamzah
    Chaudhry, Muhammad Nawaz
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENT AND WASTE MANAGEMENT, 2023, 32 (04) : 402 - 417
  • [3] Towards a Public Participatory GIS-Based Framework for Municipal Solid Waste Management
    Arinaitwe, Irene
    Maiga, Gilbert
    Nakakawa, Agnes
    [J]. E-INFRASTRUCTURE AND E-SERVICES FOR DEVELOPING COUNTRIES, AFRICOMM 2018, 2019, 275 : 35 - 44
  • [4] Parameter interrelationships in a dual phase GIS-based municipal solid waste collection model
    Vu, Hoang Lan
    Ng, Kelvin Tsun Wai
    Bolingbroke, Damien
    [J]. WASTE MANAGEMENT, 2018, 78 : 258 - 270
  • [5] GIS-based locational analysis of collection bins in municipal solid waste management systems
    Vijay, Ritesh
    Gautam, Ajay
    Kalamdhad, Ajay
    Gupta, Apurba
    Devotta, Sukumar
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE, 2008, 7 (01) : 39 - 43
  • [6] SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection
    Amal, Louati
    Le Hoang Son
    Chabchoub, Habib
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (27) : 27569 - 27582
  • [7] SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection
    Louati Amal
    Le Hoang Son
    Habib Chabchoub
    [J]. Environmental Science and Pollution Research, 2018, 25 : 27569 - 27582
  • [8] Parallel Hybrid Genetic Algorithm and GIS-Based Optimization for Municipal Solid Waste Collection Routing
    Duzgun, H. Sebnem
    Uskay, S. Onur
    Aksoy, Aysegul
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2016, 30 (03)
  • [9] GIS-based approach for optimized siting of municipal solid waste landfill
    Sumathi, V. R.
    Natesan, Usha
    Sarkar, Chinmoy
    [J]. WASTE MANAGEMENT, 2008, 28 (11) : 2146 - 2160
  • [10] The development of an integrated GIS-based optimization framework for power generation from municipal solid waste-to-energy facilities
    Billal, Md Mashum
    Sebastian, Roshni Mary
    Kumar, Amit
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 434