02843nas a2200217   4500008004100000022001300041245010100054210006900155260001600224300001400240490000800254520196400262100001902226700002402245700002602269700002802295700002302323700002002346700002602366856023302392       2018                        eng d  a0048969700aShifts in wind energy potential following land-use driven vegetation dynamics in complex terrain0 aShifts in wind energy potential following landuse driven vegetat  cJan-10-2018  a374 - 3840 v6393 a<p>Many mountainous regions with high wind energy potential are characterized by multi-scale variabilities of vegetation in both spatial and time dimensions, which strongly affect the spatial distribution of wind resource and its time evolution. To this end, we developed a coupled interdisciplinary modeling framework capable of assessing the shifts in wind energy potential following land-use driven vegetation dynamics in complex mountain terrain. It was applied to a case study area in the Romanian Carpathians. The results show that the overall shifts in wind energy potential following the changes of vegetation pattern due to different land-use policies can be dramatic. This suggests that the planning of wind energy project should be integrated with the land-use planning at a specific site to ensure that the expected energy production of the planned wind farm can be reached over its entire lifetime. Moreover, the changes in the spatial distribution of wind and turbulence under different scenarios of land-use are complex, and they must be taken into account in the micro-siting of wind turbines to maximize wind energy production and minimize fatigue loads (and associated maintenance costs). The proposed new modeling framework offers, for the first time, a powerful tool for assessing long-term variability in local wind energy potential that emerges from land-use change driven vegetation dynamics over complex terrain. Following a previously unexplored pathway of cause-effect relationships, it demonstrates a new linkage of agro- and forest policies in landscape development with an ultimate trade-off between renewable energy production and biodiversity targets. Moreover, it can be extended to study the potential effects of micro-climatic changes associated with wind farms on vegetation development (growth and patterning), which could in turn have a long-term feedback effect on wind resource distribution in mountainous regions.</p>
1 aFang, Jiannong1 aPeringer, Alexander1 aStupariu, Mihai-Sorin1 aPătru-Stupariu, Ileana1 aButtler, Alexandre1 aGolay, Francois1 aPorté-Agel, Fernando  uhttps://linkinghub.elsevier.com/retrieve/pii/S0048969718317182https://api.elsevier.com/content/article/PII:S0048969718317182?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0048969718317182?httpAccept=text/plain