TY - JOUR A1 - Krassakis, Pavlos A1 - Karavias, Andreas A1 - Zygouri, Evangelia A1 - Roumpos, Christos A1 - Louloudis, Georgios A1 - Pyrgaki, Konstantina A1 - Koukouzas, Nikolaos A1 - Kempka, Thomas A1 - Karapanos, Dimitris T1 - GIS-based assessment of hybrid pumped hydro storage as a potential solution for the clean energy transition BT - the case of the Kardia lignite mine, Western Greece JF - Sensors N2 - Planned decommissioning of coal-fired plants in Europe requires innovative technical and economic strategies to support coal regions on their path towards a climate-resilient future. The repurposing of open pit mines into hybrid pumped hydro power storage (HPHS) of excess energy from the electric grid, and renewable sources will contribute to the EU Green Deal, increase the economic value, stabilize the regional job market and contribute to the EU energy supply security. This study aims to present a preliminary phase of a geospatial workflow used to evaluate land suitability by implementing a multi-criteria decision making (MCDM) technique with an advanced geographic information system (GIS) in the context of an interdisciplinary feasibility study on HPHS in the Kardia lignite open pit mine (Western Macedonia, Greece). The introduced geospatial analysis is based on the utilization of the constraints and ranking criteria within the boundaries of the abandoned mine regarding specific topographic and proximity criteria. The applied criteria were selected from the literature, while for their weights, the experts' judgement was introduced by implementing the analytic hierarchy process (AHP), in the framework of the ATLANTIS research program. According to the results, seven regions were recognized as suitable, with a potential energy storage capacity from 1.09 to 5.16 GWh. Particularly, the present study's results reveal that 9.27% (212,884 m(2)) of the area had a very low suitability, 15.83% (363,599 m(2)) had a low suitability, 23.99% (550,998 m(2)) had a moderate suitability, 24.99% (573,813 m(2)) had a high suitability, and 25.92% (595,125 m(2)) had a very high suitability for the construction of the upper reservoir. The proposed semi-automatic geospatial workflow introduces an innovative tool that can be applied to open pit mines globally to identify the optimum design for an HPHS system depending on the existing lower reservoir. KW - hybrid pumped hydro power storage KW - hydro power KW - hydro storage KW - GIS KW - Kardia mine KW - AHP KW - MCDM Y1 - 2023 U6 - https://doi.org/10.3390/s23020593 SN - 1424-8220 VL - 23 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - Werner, Andrea A1 - Werner, Andreas A1 - Wieland, Ralf A1 - Kersebaum, Kurt-Christian A1 - Mirschel, Wilfried A1 - Ende, Hans-Peter A1 - Wiggering, Hubert T1 - Ex ante assessment of crop rotations focusing on energy crops using a multi-attribute decision-making method JF - Ecological indicators : integrating monitoring, assessment and management N2 - The cultivation of plants for use as energy resources is an agricultural and industrial sector with potentially synergistic benefits related to protecting the environment and generating income. Against the background of increasing land-use changes and new agricultural approaches to the production of energy crops, we present a method for identifying future-oriented crop rotations that supports both the economic and environmental components of decision-making strategies with respect to agriculture-related policy decisions (regional mission statements). The conflicting aspects of these objectives can be addressed with the analytic hierarchy process (AHP), a multi-attribute decision-making method that was integrated here. Three models are used to generate simulations of the defined objectives over a planning period of 30 years under the current climate scenario and provide input data for the multi-attribute assessment of several crop rotations. Based on the entire evaluation process, dimensionless global priority vectors are used to indicate how well the crop rotations meet the requirements of the defined mission statement. The method is tested in a municipality in NE Germany. (C) 2014 Elsevier Ltd. All rights reserved. KW - Agricultural management KW - Ex ante assessment KW - Multi-attribute decision-making KW - AHP KW - Crop rotation KW - Energy crops KW - Regional objectives KW - Indicators Y1 - 2014 U6 - https://doi.org/10.1016/j.ecolind.2014.03.013 SN - 1470-160X SN - 1872-7034 VL - 45 SP - 110 EP - 122 PB - Elsevier CY - Amsterdam ER -