Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach

Siyal, Shahid Hussain; Mörtberg, Ulla; Mentis, Dimitris; Welsch, Manuel; Babelon, Ian; Howells, Mark

doi:10.1016/j.energy.2015.02.044

Cited by 108 publications

(58 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Value Unit Wind energy potentials GIS data of global mean annual wind speeds at 50 m height and 5 km spatial resolution were obtained by the Global Wind Atlas [73] based on ten years of hourly data and validated against ground measurements. These data are used to calculate the capacity factor [74]. The latter is defined as the ratio of the yearly expected wind energy production to the energy production if the wind turbine were to operate at its rated power throughout the year.…”

Section: Parametermentioning

confidence: 99%

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

Mentis

Howells

Rogner

et al. 2017

Environ. Res. Lett.

Self Cite

189

144

View full text Add to dashboard Cite

Section: Parametermentioning

confidence: 99%

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

Mentis

Howells

Rogner

et al. 2017

Environ. Res. Lett.

Self Cite

189

144

View full text Add to dashboard Cite

“…In the context of our study there are several recent studies on energy planning and renewable resource assessment, spanning from local (Palaiologou et al, 2011), (Quinonez-Varela et al, 2007), (Gormally et al, 2012), (Miller and Li, 2014), (Calvert and Mabee, 2015) national studies (Siyal et al, 2015), (Sahai, 2013), (Bekele and Tadesse, 2012), (Aydin et al, 2013) to regional studies (Sørensen and Meibom, 1999), (ESMAP, 2015), , (IRENA, 2014), (Archer and Jacobson, 2013) taking the spatial dimension into account. However, these studies do not consider explicitly the spatial effects.…”

Section: Gis For Energy Systems and Energy Planningmentioning

confidence: 99%

The benefits of geospatial planning in energy access – A case study on Ethiopia

et al. 2016

Self Cite

View full text Add to dashboard Cite

Access to clean and affordable modern energy is crucial to fostering social and economic development and to achieving the Sustainable Development Goals. Efficient policy frameworks and effective electrification programs are required in order to ensure that people are electrified in a sustainable manner. These programs differ from country to country depending on geographic and socioeconomic conditions. Electrification planning process must consider the geographical characteristics of the resources as well as the spatial dimension of social and economic drivers of energy demand in order to find the most optimal energy access solution. Geographical theory and Geographic Information Systems (GIS) in particular can play a significant role in electrification planning, since they are capable of managing the data needed in the decision making process and may integrate and assess all possible options. This paper focuses on considering these characteristics by applying a recently developed GIS based methodology to inform electrification planning and strategies in Ethiopia. The paper illustrates two major aspects of energy planning; 1.) how the optimal electrification mix is influenced by a range of parameters -including population density, existing and planned transmission networks and power plants, economic activities, tariffs for grid-based electricity, technology costs for mini-grid and off-grid systems, and fuel costs for consumers and 2.) how the electrification mix differs from location to location. For a certain level of energy access, ongrid connections would be optimal for the majority of the new connections in Ethiopia; grid extension constitutes the lowest cost option for approximately 93% of the newly electrified population in this modelling effort with 2030 as time horizon. However, there are some remote areas with low population density where a mini-grid (ca. 6%) or a stand-alone solution (ca. 1%) are the most economic options. Depending on local resource availability, these systems deploy varied combinations of solar, wind, hydro and diesel technologies.

show abstract

“…The criteria for assessing GP have been identified in various previous studies for different regions [10,[21][22][23][24][25][26][27]. Generally, there are two different categories of criteria: exclusion criteria and consideration criteria comprising orographical restrictions and restrictions due to competing land use or protection requirements.…”

Section: Determination Of Restriction Criteriamentioning

confidence: 99%

On the Annual Cycle of Meteorological and Geographical Potential of Wind Energy: A Case Study from Southwest Germany

2017

View full text Add to dashboard Cite

Wind energy in Germany has experienced high growth rates over the last few years. The set political target in the German federal state of Baden-Wuerttemberg is to raise the share of wind energy in the overall electricity supply to 10% by 2020. To achieve this goal, detailed information on wind energy potential in Baden-Wuerttemberg is necessary. This study assesses the geographical wind energy potential (GP) in Baden-Wuerttemberg giving a guideline to identify suitable locations for wind energy utilization. The focus of this investigation lies in assessing GP for the mean annual meteorological wind energy potential (MP) as well as for the mean MP in December and August providing information on the seasonal behavior of wind power availability. A GIS-based approach is employed to identify sites without geographical restrictions and with sufficient MP at hub heights of 100 m, 140 m, and 200 m. The study finds that (1) the number of possible sites for wind energy utilization is strongly limited by geographical restrictions, (2) GP is highly dependent on MP and, therefore, (3) GP varies highly throughout a year since MP depends on the seasonal pattern of wind speed in Central Europe, showing high values in winter and low values in summer.

show abstract

Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach

Cited by 108 publications

References 42 publications

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

The benefits of geospatial planning in energy access – A case study on Ethiopia

On the Annual Cycle of Meteorological and Geographical Potential of Wind Energy: A Case Study from Southwest Germany

Contact Info

Product

Resources

About