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Biodigester location problems, its economic–environmental–social aspects and techniques: Areas yet to be explored

Jesus, Rômulo Henrique Gomes de, Souza, Jovani Taveira de, Puglieri, Fabio Neves, Piekarski, Cassiano Moro, Francisco, Antonio Carlos de·2021·Energy Reports
DOI 10.1016/j.egyr.2021.06.090
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Fig. 3 Linking the quantity of articles in the portfolio with localization problems (location/allocation and supply chain) and location techniques.
Fig. 3 Linking the quantity of articles in the portfolio with localization problems (location/allocation and supply chain) and location techniques.CC-BY-NC-ND · From the PDF
Fig. 4 Linking the quantity of articles in the portfolio with economic, environmental and social aspects and location techniques.
Fig. 4 Linking the quantity of articles in the portfolio with economic, environmental and social aspects and location techniques.CC-BY-NC-ND · From the PDF

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Research works printed but not linked: 61

  1. Balaman, 2014, A network design model for biomass to energy supply chains with anaerobic digestion systems, Appl. Energy, 130, 289, 10.1016/j.apenergy.2014.05.043 · DOI
  2. Barros, 2020, Sustainability at a Brazilian university: developing environmentally sustainable practices and a life cycle assessment case study, Int. J. Sustain. High. Educ., 10.1108/IJSHE-10-2019-0309 · DOI
  3. Barros, 2020, Mapping of research lines on circular economy practices in agriculture: From waste to energy, Renew. Sustain. Energy Rev., 131, 10.1016/j.rser.2020.109958 · DOI
  4. Escalante, 2016, Spatial decision support system to evaluate crop residue energy potential by anaerobic digestion, Bioresour. Technol., 219, 80, 10.1016/j.biortech.2016.06.136 · DOI
  5. Falconer, 2020, Anaerobic digestion of food waste: Eliciting sustainable water-energy-food nexus practices with Agent Based Modelling and visual analytics, J. Clean. Prod., 255, 10.1016/j.jclepro.2020.120060 · DOI
  6. Figueiredo, 2014, A systemic approach for dimensioning and designing anaerobic bio-digestion/energy generation biomass supply networks, Renew. Energy, 71, 690, 10.1016/j.renene.2014.06.031 · DOI
  7. Franco, 2015, A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants, Appl. Energy, 140, 304, 10.1016/j.apenergy.2014.11.060 · DOI
  8. Gnaoui, 2020, Mesophilic anaerobic digestion of food waste: Effect of thermal pretreatment on improvement of anaerobic digestion process, Energy Rep., 6, 417, 10.1016/j.egyr.2019.11.096 · DOI
  9. Gold, 2011, Supply chain and logistics issues of bio-energy production, J. Clean. Prod., 19, 32, 10.1016/j.jclepro.2010.08.009 · DOI · Paper page
  10. Gómez, 2017, Construction of a Chilean energy matrix portraying energy source substitution: A system dynamics approach, J. Clean. Prod., 162, 903, 10.1016/j.jclepro.2017.06.111 · DOI
  11. Grigoras, 2015, An assessment of the renewable energy potential using a clustering based data mining method, case study in Romania, Energy, 81, 416, 10.1016/j.energy.2014.12.054 · DOI
  12. Harahap, 2019, Opportunities to optimize the palm oil supply chain in Sumatra, Indonesia, Energies, 12, 10.3390/en12030420 · DOI · Paper page
  13. Höhn, 2014, A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland, Appl. Energy, 113, 1, 10.1016/j.apenergy.2013.07.005 · DOI
  14. Hoo, 2019, Spatial-economic optimisation of biomethane injection into natural gas grid: The case at southern Malaysia, J. Environ. Manag., 241, 603, 10.1016/j.jenvman.2018.11.092 · DOI
  15. Hrabec, 2017, Robust facility location problem for bio-waste transportation, Chem. Eng. Trans., 61, 1093
  16. Hu, 2015, CyberGIS-BioScope: A cyberinfrastructure-based spatial decision-making environment for biomass-to-biofuel supply chain optimization, Concurr. Comput., 27, 4437, 10.1002/cpe.3535 · DOI
  17. Hu, 2017, A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization, Appl. Energy, 203, 26, 10.1016/j.apenergy.2017.03.107 · DOI
  18. Jeong, 2020, A web-based tool framing a collective method for optimizing the location of a renewable energy facility and its possible application to sustainable STEM education, J. Clean. Prod., 251, 10.1016/j.jclepro.2019.119747 · DOI
  19. Jeong, 2017, A multicriteria GIS-based assessment to optimize biomass facility sites with parallel environment - A case study in Spain, Energies, 10, 10.3390/en10122095 · DOI
  20. Jeong, 2018, Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability, J. Clean. Prod., 182, 509, 10.1016/j.jclepro.2017.12.072 · DOI
  21. Jesus, 2021, Forming clusters based on strategic partnerships and circular economy for biogas production: A GIS analysis for optimal location, Biomass Bioenergy, 150, 10.1016/j.biombioe.2021.106097 · DOI
  22. Kaundinya, 2013, A GIS (geographical information system)-based spatial data mining approach for optimal location and capacity planning of distributed biomass power generation facilities: A case study of Tumkur district, India, Energy, 52, 77, 10.1016/j.energy.2013.02.011 · DOI · Paper page
  23. Khademalhoseiny, 2017, Site selection for landfill gas extraction plant by fuzzy analytic hierarchy process and fuzzy analytic network process in the city of Najafabad, Iran, Energy Environ., 28, 763, 10.1177/0958305X17728692 · DOI
  24. Khishtandar, 2019, Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design, Appl. Energy, 236, 183, 10.1016/j.apenergy.2018.11.092 · DOI
  25. Konstantinos, 2018, A spatial decision support system framework for the evaluation of biomass energy production locations: Case study in the regional unit of drama, Greece. Sustain., 10
  26. Kremmydas, 2012, Parametric optimization of linear and non-linear models via parallel computing to enhance web-spatial DSS interactivity, Int. J. Decis. Support Syst. Technol., 4, 14, 10.4018/jdsst.2012010102 · DOI
  27. Laasasenaho, 2019, GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas, Sustain. Energy Technol. Assess., 32, 47
  28. López-Díaz, 2017, Optimal location of biorefineries considering sustainable integration with the environment, Renew. Energy, 100, 65, 10.1016/j.renene.2016.05.028 · DOI
  29. Ma, 2005, Siting analysis of farm-based centralized anaerobic digester systems for distributed generation using GIS, Biomass Bioenergy, 28, 591, 10.1016/j.biombioe.2004.12.003 · DOI
  30. Maier, 2014, Optimal renewable energy systems for industries in rural regions, Energy. Sustain. Soc., 4
  31. Mayerle, 2016, Designing optimal supply chains for anaerobic bio-digestion/energy generation complexes with distributed small farm feedstock sourcing, Renew. Energy, 90, 46, 10.1016/j.renene.2015.12.022 · DOI
  32. de Meyer, 2014, Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review, Renew. Sustain. Energy Rev., 31, 657, 10.1016/j.rser.2013.12.036 · DOI
  33. Mukherjee, 2015, Optimal location of centralized biodigesters for small dairy farms: A case study from the United States, Int. J. Sustain. Energy Plan. Manag., 8, 3
  34. O’Shea, 2016, Assessment of the impact of incentives and of scale on the build order and location of biomethane facilities and the feedstock they utilise, Appl. Energy, 182, 394, 10.1016/j.apenergy.2016.08.063 · DOI
  35. Patrizio, 2015, Biomethane as transport fuel – A comparison with other biogas utilization pathways in northern Italy, Appl. Energy, 157, 25, 10.1016/j.apenergy.2015.07.074 · DOI
  36. Perpiña, 2013, Multicriteria assessment in GIS environments for siting biomass plants, Land Use Policy, 31, 326, 10.1016/j.landusepol.2012.07.014 · DOI
  37. Portugal-Pereira, 2015, Agricultural and agro-industrial residues-to-energy: Techno-economic and environmental assessment in Brazil, Biomass Bioenergy, 81, 521, 10.1016/j.biombioe.2015.08.010 · DOI
  38. Ramachandra, 2005, Decision support system to assess regional biomass energy potential, Int. J. Green Energy, 1, 407, 10.1081/GE-200038704 · DOI
  39. Rodríguez, 2017, Fuzzy spatial decision tool to rank suitable sites for allocation of bioenergy plants based on crop residue, Biomass Bioenergy, 100, 17, 10.1016/j.biombioe.2017.03.007 · DOI
  40. Sarker, 2018, Optimal number and location of storage hubs and biogas production reactors in farmlands with allocation of multiple feedstocks, Appl. Math. Model., 55, 447, 10.1016/j.apm.2017.11.010 · DOI
  41. Sarker, 2019, Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location, Appl. Energy, 239, 343, 10.1016/j.apenergy.2019.01.216 · DOI
  42. Scarlat, 2018, A spatial analysis of biogas potential from manure in europe, Renew. Sustain. Energy Rev., 94, 915, 10.1016/j.rser.2018.06.035 · DOI
  43. Sharara, 2020, Planning methodology for anaerobic digestion systems on animal production facilities under uncertainty, Waste Manag., 104, 262, 10.1016/j.wasman.2020.01.028 · DOI
  44. Silva, 2014, Biogas plants site selection integrating Multicriteria Decision Aid methods and GIS techniques: A case study in a portuguese region, Biomass Bioenergy, 71, 58, 10.1016/j.biombioe.2014.10.025 · DOI
  45. Silva, 2017, Multiobjective programming for sizing and locating biogas plants: A model and an application in a region of Portugal, Comput. Oper. Res., 83, 189, 10.1016/j.cor.2017.02.016 · DOI
  46. Singh, 2020, Decentralized biomass for biogas production. Evaluation and potential assessment in Punjab (India), Energy Rep., 6, 1702, 10.1016/j.egyr.2020.06.009 · DOI
  47. Souza, 2019, Data mining and machine learning in the context of sustainable evaluation: a literature review, IEEE Lat. Am. Trans., 17, 372, 10.1109/TLA.2019.8863307 · DOI
  48. Swindal, 2010, Community digester operations and dairy farmer perspectives, Agric. Human Values, 27, 461, 10.1007/s10460-009-9238-1 · DOI
  49. Thiriet, 2020, Optimization method to construct micro-anaerobic digesters networks for decentralized biowaste treatment in urban and peri-urban areas, J. Clean. Prod., 243, 10.1016/j.jclepro.2019.118478 · DOI
  50. Thompson, 2013, Anaerobic digester systems (ADS) for multiple dairy farms: A GIS analysis for optimal site selection, Energy Policy, 61, 114, 10.1016/j.enpol.2013.06.035 · DOI
  51. Valenti, 2018, Spatial analysis of feedstock supply and logistics to establish regional biogas power generation: A case study in the region of sicily, Renew. Sustain. Energy Rev., 97, 50, 10.1016/j.rser.2018.08.022 · DOI
  52. Van Der Horst, 2018, What can the location of biogas plants tell us about agricultural change? A case study from the Czech Republic, DETUROPE, 10, 33, 10.32725/det.2018.002 · DOI
  53. Venier, 2017, Renewable energy recovery potential towards sustainable cattle manure management in Buenos Aires Province: Site selection based on GIS spatial analysis and statistics, J. Clean. Prod., 162, 1317, 10.1016/j.jclepro.2017.06.098 · DOI
  54. Villamar, 2016, Anaerobic co-digestion plants for the revaluation of agricultural waste: Sustainable location sites from a GIS analysis, Waste Manag. Res., 34, 316, 10.1177/0734242X16628979 · DOI
  55. Villarroel-Schneider, 2020, Biogas based polygeneration plant options utilizing dairy farms waste: A Bolivian case, Sustain. Energy Technol. Assess., 37
  56. Wirth, 2014, Communities matter: Institutional preconditions for community renewable energy, Energy Policy, 70, 236, 10.1016/j.enpol.2014.03.021 · DOI
  57. Wu, 2015, Sustainable energy from biomass: Biomethane manufacturing plant location and distribution problem, Appl. Energy, 158, 597, 10.1016/j.apenergy.2015.08.080 · DOI
  58. Yalcinkaya, 2020, A spatial modeling approach for siting, sizing and economic assessment of centralized biogas plants in organic waste management, J. Clean. Prod., 255, 10.1016/j.jclepro.2020.120040 · DOI · Paper page
  59. Ying, 2020, Operational management implemented in biofuel upstream supply chain and downstream international trading: Current issues in Southeast Asia, Energies, 13, 10.3390/en13071799 · DOI
  60. Zareei, 2018, Evaluation of biogas potential from livestock manures and rural wastes using GIS in Iran, Renew. Energy, 118, 351, 10.1016/j.renene.2017.11.026 · DOI
  61. Zema, 2017, Planning the optimal site, size, and feed of biogas plants in agricultural districts, Biofuels, Bioprod. Biorefining, 11, 454, 10.1002/bbb.1757 · DOI

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Metadata

Authors
Jesus, R. H. G. D., Souza, J. T. D., Puglieri, F. N., Piekarski, C. M., & Francisco, A. C. D.
ORCID
Venue
Energy Reports
Publisher
Elsevier BV
Published
2021-11
Volume
7
Pages
3998-4008
ISSN
2352-4847
DOI
10.1016/j.egyr.2021.06.090
Cited by
23
References
1
Language
en
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