Multicriteria assessment in GIS environments for siting biomass plants

Perpiñá, Carolina; Martínez-Llario, José Carlos; Pérez‐Navarro, A.

doi:10.1016/j.landusepol.2012.07.014

Cited by 127 publications

(65 citation statements)

References 11 publications

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“…Their model that uses delivered feedstock cost, energy consumption, and GHG emissions as performance measures, determines optimal biofuel facility location, logistics design, inventory management, and information exchange. Perpiña et al (2013) presented a multi-criteria evaluation using GIS to select suitable sites for establishing plants. After defining the main criterion, evaluated and weighted based on analytic hierarchies process.…”

Section: Other Methodsmentioning

confidence: 99%

Optimization methods applied to renewable and sustainable energy: A review

Asadi¹,

Sadjadi²

2017

10.5267/j.uscm

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Section: Other Methodsmentioning

confidence: 99%

Optimization methods applied to renewable and sustainable energy: A review

Asadi¹,

Sadjadi²

2017

10.5267/j.uscm

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“…This method can be implemented in the GIS IDRISI software (Eastman, 2003) or as a macro for ArcGis (Marinoni, 2004). In recent years, the analytical hierarchy process has been commonly used because it is intuitive and easy to implement in GIS, leading to a significant advance in the quantity and quality of the research related to various techniques, including planning of urban infrastructures (Hajehforooshnia et al, 2011;Suárez-Vega et al, 2011;Yang et al, 2008), landscape modelling (Vizzari, 2011), location of facilities (Dey & Ramcharan, 2008;Kontos et al, 2005;Tuzkaya et al, 2008;Wang et al, 2009), and the planning of renewable energy (Izquierdo et al, 2008;Omitaomu et al, 2012;Perpiña et al, 2013;Tegou et al, 2010). …”

Section: Source: Adapted From Tegou Polatidis and Haralambopoulos (20mentioning

confidence: 99%

The competitive value of territorial resources for photovoltaic energy on the island of Gran Canaria

Sarmiento¹,

Vera²,

Pérez³

2017

ISJ

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ABSTRACT:This work aims to identify the most suitable location for photovoltaic power plants on the Spanish island of Gran Canaria. To that end, we propose a methodology which will assess those physical territorial resources involved in the development of photovoltaic solar energy by means of two devices: the available territorial resource map and the available territorial resource index. In order to achieve this objective, multi-criteria analysis through an analytical hierarchy process with geographical information systems was used. The empirical analysis concluded that a large percentage of the island territory enjoys excellent potential for the setting-up of photovoltaic plants. The contribution of this research is particularly important in an island context, since it is in this type of territory where such tools are especially relevant to plan the best use of limited land area and availability.

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“…In addition to the models based on a set of partial differential equations or ordinary differential equations, many mathematical techniques have been proposed, such as the finite-elements method, models based on fractal geometry, the catastrophes theory and cellular automata [4,5]. Novel approaches have appeared during the last few decades, opening the way to some new aspects of research: in particular, classification methods in remote sensing for evaluation of land cover changes, spatial data management in GISs (Geographic Information Systems) for integration of spatio-temporal data, and a GPS (Global Positioning System) for spatially related observations in the field [6,7]. At the present time,…”

mentioning

confidence: 99%

Computer Based Modeling of Vegetation Propagation across a Disturbed Space Linked to GIS

Matějı́ček¹,

Kovář²

2015

JEASE

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Abstract:The paper is focused on computer simulation of natural vegetation propagation across two selected disturbed sites. Two sites located in the different environments, the abandoned sedimentation basin of a former pyrite ore mine and the ash deposits of a power station, were selected to illustrate the proposed spatio-temporal model. Aerial images assisted in identifying and monitoring the progress in the propagation of vegetation. Analysis of the aerial images was based on varying vegetation coverage explored by classification algorithms. A new approach is proposed entailing coupling of a local dynamic model and a spatial model for vegetation propagation. The local dynamic model describes vegetation growth using a logistic growth approach based on delayed variables. Vegetation propagation is described by rules related to seed and its dispersal phenomena on a local scale and on the scale of outlying spreading. The disturbed sites are divided into a grid of microsites. Each microsite is represented by a 5 m  5 m square. A state variable in each microsite indicates the relative vegetation density on a scale from 0 (no vegetation) to 1 (long-term maximum of vegetation density). Growth, local vegetation propagation and the effects of outlying vegetation propagation in each cell are described by an ordinary differential equation with delayed state variables. The grid of cells forms a set of ordinary differential equations. The abandoned sedimentation basin and the ash deposits are represented by grids of 185  345 and 212  266 cells, respectively. A few case-oriented studies are provided to show various predictions of vegetation propagation across two selected disturbed sites. The first case study simulates vegetation growing without spatial propagations and delayed variables in the spatio-temporal model. The second and the third case studies extend the previous study by including local and outlying vegetation propagation, respectively. The fourth case study explores delayed impacts in the logistic growth term and the delayed outcome by vegetation propagation across the disturbed space. The performed case-oriented studies confirm the applicability of the proposed spatio-temporal model to predict vegetation propagation in short-term successions and to estimate approximate vegetation changes in long-term development. As a result, it can be concluded that remotely sensed data are a valuable source of information for estimates of model parameters and provide an effective method for monitoring the progress of vegetation propagation across the selected sites, spaces disturbed by human activities.

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Multicriteria assessment in GIS environments for siting biomass plants

Cited by 127 publications

References 11 publications

Optimization methods applied to renewable and sustainable energy: A review

Optimization methods applied to renewable and sustainable energy: A review

The competitive value of territorial resources for photovoltaic energy on the island of Gran Canaria

Computer Based Modeling of Vegetation Propagation across a Disturbed Space Linked to GIS

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