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The aim of this paper is twofold: (i) to build a model by combining an agglomerative hierarchical algorithm with multicriteria analysis and geographic information systems (GIS) in order to identify whether there are opportunities to create strategic partnerships based on geographic coordinates of raw material suppliers and the volume of raw material supply; and (ii) to apply the model in a case study in order to identify suitable locations for building a biodigester, thus establishing strategic partnerships and circular economy-based practices. The model involves four stages: (1) defining the study site, (2) building the set of cluster solutions, (3) defining the suitable locations for building a biodigester, and (4) conducting analyses of feasibility of strategic partnership and sensitivity. The model was applied in a small region and it was analyzed the possibility of creating two or three clusters. The use of the model allowed, from both quantitative and qualitative perspectives, to preliminarily identify the possibility of creating a strategic partnership, and also determine the location of a biodigester. The case study applied in southern Brazil took place in a region with high potential for generating biogas from agro-waste. A geographic map with roads, rivers, and constraints was built. Strategic partnerships, sensitivity analysis, and circular economy-based practices were discussed. The results of this work could provide useful information when using the model for other regions, and the model could easily incorporate further criteria and conditions, making it flexible and tailored to users' needs. • An important source of clean energy that has been gaining interest worldwide is biogas. • The study build a model by combining an agglomerative hierarchical algorithm with multicriteria GIS. • The work identify whether there are opportunities to create strategic partnerships based on geographical coordinates. • The model was applied in a case study in order to identify suitable locations for the installation of a biodigester. [ABSTRACT FROM AUTHOR]

Agriculture is one of the sectors that strongly contribute to greenhouse gas emissions on the planet. In this sense, circular economy practices can be advantageous when using bioenergy in the agro-industrial sector. Although only about 9% of the world's economy is circular, global initiatives have acted to change that scenario. Unlike the linear economy (take-make-use-dispose), the circular economy (grow-make-use-restore) aims to influence material and energy flows to increase environmental gains and avoid costs. Based on that, this study aims to map bioenergy boosters through circular economy practices in agriculture. To that end, a systematic literature review was conducted to present what is being developed in this field. To identify the most relevant, high impact, studies in the area, the systematic literature review was performed in three databases, covering all available literature up to date. The main research themes, applications, research topics, area of activity, countries, journals, publisher, and history of publication were identified. Therewith, some trends and perspectives could be drawn. To date, no solidly established authors have been identified in the area. The theme is recent and the vast majority of documents have been published over the last four years. European countries have been pioneering and are the most prominent in terms of publications. The electricity generation and biofuel produced from biogas have shown representativeness and are sustainable opportunities to advance the theme. Therefore, this study can contribute to encouraging the agricultural sector in implementing or increasing the use of circular economy practices. • The use of agricultural waste is of particular interest in the context of the circular economy. • Some trends and perspectives of circular economy practices could be drawn in terms of the agricultural sector. • A framework of inputs and outputs in agriculture and possible options for bioenergy plants was presented. • Illustrations with clustering terms and co-occurrence of keywords were presented. • The electricity generation and biofuel produced from biogas has sustainable opportunities. [ABSTRACT FROM AUTHOR]