Spatial transition analysis: Spatially explicit and evidence-based targets for sustainable energy transition at the local and regional scale

Climate change, depletion of fossil fuels, and economic concerns are among the main drivers of sustainable energy transition. Over the past decade, several regions with low population density have successfully transited towards renewable energy (for example Siena, Italy). In the Netherlands and other countries, more densely populated regions have drawn up ambitious targets for energy transition. Most of these transition targets lack empirical evidence with regard to spatio-technological feasibility. This lack of evidence may compromise energy transition if constraints are discovered posteriori and short-term milestones missed. To address this shortcoming, we propose an integrated approach. Spatial Transition Analysis (STA) can assist in defining spatially explicit and evidence-based targets for energy transition. STA combines quantitative modelling of energy potentials, qualitative spatial considerations for the siting of renewable energy technologies and comparative scenario development. The application of STA in a case-study (Parkstad Limburg, the Netherlands) revealed that the region has the potential to become energy neutral between 2035 and 2045. Examining and illustrating the different types of constraints as well as the possible choices between renewable energy technologies enabled stakeholders to start planning for energy transition and implementing first interventions. This shows that STA provides a solid framework to foster sustainable energy transition initiated by regional stakeholders and informed by local preferences.

[1]  Sven Stremke,et al.  Integration of Ecological and Thermodynamic Concepts in the Design of Sustainable Energy Landscapes , 2011, Landscape Journal.

[2]  Paul J. Burgess,et al.  A framework for reviewing the trade-offs between, renewable energy, food, feed and wood production at a local level , 2012 .

[3]  D. Sijmons,et al.  Landscape and Energy: Designing Transition , 2014 .

[4]  Thomas Blaschke,et al.  ‘Energy landscapes’: Meeting energy demands and human aspirations , 2013, Biomass & bioenergy.

[5]  Saskia Vermeylen,et al.  Local Rights to Landscape in the Global Moral Economy of Carbon , 2011 .

[6]  P. Burgess,et al.  Energyscapes: Linking the energy system and ecosystem services in real landscapes , 2013 .

[7]  Nick Eyre,et al.  Geographies of energy transition: Space, place and the low-carbon economy , 2013 .

[8]  Richard Weller,et al.  Planning by Design Landscape Architectural Scenarios for a Rapidly Growing City , 2008 .

[9]  Paul Selman,et al.  Learning to Love the Landscapes of Carbon-Neutrality , 2010 .

[10]  Louis Albrechts,et al.  Strategic (Spatial) Planning Reexamined , 2004 .

[11]  S. Lenzholzer,et al.  ‘Research through designing’ in landscape architecture , 2013 .

[12]  Clark A. Miller,et al.  The Social Dimensions of Energy Transitions , 2013 .

[13]  Sven Stremke,et al.  Integrated Visions (Part II): Envisioning Sustainable Energy Landscapes , 2012 .

[14]  Roland W. Scholz,et al.  Supporting energy initiatives in small communities by linking visions with energy scenarios and multi-criteria assessment , 2011 .

[15]  J. Rotmans,et al.  The practice of transition management: Examples and lessons from four distinct cases , 2010 .

[16]  Sven Stremke,et al.  Integrated Visions (Part I): Methodological Framework for Long-term Regional Design , 2012 .

[17]  Martin Mwirigi M’Ikiugu,et al.  A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan , 2014 .

[18]  R. Yin Case Study Research: Design and Methods , 1984 .

[19]  Sven Stremke,et al.  Sustainable Energy Landscape: Implementing Energy Transition in the Physical Realm , 2015 .

[20]  V. D. Knaap,et al.  Sustainable Energy Landscapes , 2010 .

[21]  Sven Stremke,et al.  Energy Transition: Missed Opportunities and Emerging Challenges for Landscape Planning and Designing , 2014 .

[22]  Adrienne Grêt-Regamey,et al.  Multi-criteria decision analysis for planning and design of sustainable energy landscapes , 2012 .

[23]  S. Broersma,et al.  Energy Potential Mapping for Energy-Producing Neighborhoods , 2011 .