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A GIS based integrated participatory approach for wind-farm siting
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. (Environmental Management and Assessment)
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. (Environmental Management and Assessment)ORCID iD: 0000-0002-0412-6845
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. (Environmental Management and Assessment)ORCID iD: 0000-0003-0214-3921
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2021 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Wind energy plays a vital role to meet growing energy needs and to replace non-renewable energy sources to reduce greenhouse gas emissions. Sweden has set the goal of 100% renewable electricity by 2040 with a major share coming from wind energy. In this context, Sweden has a national strategy for sustainable wind power development, with suggested development shares for each region. However, wind energy development also faces a multitude of ecological and societal impacts that needs consideration. Therefore, wind power planning face major challenges and there is a need for systematic planning support, integrating scientific knowledge and stakeholder valuation. The REWIND project aims to develop GIS-based methods based on multi-criteria analysis (MCA) for sustainable wind power planning.

In the case study of the County of Västernorrland, stakeholders are engaged in the main MCA steps, the design step with factor selection, treatment and aggregation, as well as weighting, and the evaluation step. Preparing this, to gain credibility, we analyse not only scientific literature but also existing planning documents and legal judgments in order to find relevant factors and their treatment and valuation. For the MCA process, we built the REWIND–GIS toolbox in Python for ArcGIS where factor parameters can be easily altered and conflicts in terms of different criteria can be aggregated and scrutinized. Through this a wide array of uncertainties can be tested, such as graded safety distances or conflict areas in varying degrees. Weights of factors from stakeholders are integrated into the model to arrive at different scenarios for suitable sites which are evaluated.

The evaluation and ranking of alternatives can then use the original factors, weights and conflicts while adding also new emerging factors, spatial or non-spatial. In this stage different methods of evaluation are also compared and tested. Through the systematic and transparent approach, planners have various options to choose from the decision space with improved understanding about the trade-offs in a quantified manner. REWIND bridges the knowledge gap in treatment of diverse factors and their performances spatially, through development of the transferable REWIND-GIS tool. This planning support tool will enable sustainable wind power planning on regional level, considering main sustainability aspects and diversified perspectives.

Place, publisher, year, edition, pages
2021.
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-302988OAI: oai:DiVA.org:kth-302988DiVA, id: diva2:1600006
Conference
16th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 10-15 October 2021, Dubrovnik, Croatia
Funder
Swedish Energy AgencyStandUp
Note

QC 20211102

Available from: 2021-10-03 Created: 2021-10-03 Last updated: 2022-06-25Bibliographically approved

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SDEWES conference 2021

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Manolan Kandy, DeepaWretling, VincentBalfors, BeritMörtberg, Ulla

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