An investigation into micro wind energy systems for their utilization in urban areas and their life cycle assessment

Çeli̇k, Ali; Muneer, Tariq; Clarke, Peter J.

doi:10.1243/09576509jpe452

Cited by 34 publications

(16 citation statements)

References 20 publications

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“…Technology-specific simulation tools can also be found, often used to improve the design of urban renewable energy technologies (e.g. Celik et al, 2007;Taherian et al, 2011). These models contribute to the design and operation of individual components within an urban energy system, but we wish to focus on the city as a whole.…”

Section: Existing Urban Energy Modelsmentioning

confidence: 99%

Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study

Keirstead

Calderón

2012

Energy Policy

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Local authorities often rely upon urban energy and carbon modelling tools to develop mitigation policies and strategies that will deliver reductions in greenhouse gas emissions. In this paper the UK example of Newcastle-uponTyne is used to critique current practice, noting that important features of urban energy systems are often omitted by bottom-up tools including interactions between technologies, spatial disaggregation of demand, and the ability to pursue over-arching policy goals like cost minimization. An alternative optimization-based approach is then described and applied to the Newcastle case, at the scale of both the whole city and the South Heaton district, and using Monte Carlo techniques to address policy uncertainty.The results show that this new method can help policy makers draw more robust policy conclusions, sensitive to spatial variations in energy demand and capturing the interactions between developments in the national energy system and local policy options. Further work should focus on improving our understanding of local building stocks and energy demands so as to better assess the potential of new technologies and policies.

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Section: Existing Urban Energy Modelsmentioning

confidence: 99%

Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study

Keirstead

Calderón

2012

Energy Policy

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“…Reference (Gurzenich et al,1999), for instance, shows (in its section 2) a comparison of the results of several renewable energy sources, without actually explaining in detail the LCA made in each case, and then focuses on the development of dynamic life cycle assessment as a central part of the study. There are also more specific studies on wind turbines, but they are generally based on older machines and lower rated power, less than 1 MW (Celik et al, 2007;Jungbluth et al, 2005;Ardente et al 2008), or they refer to hybrid technologies (Khan et al, 2005). In the reference (Celik et al, 2007), micro-turbines and low power urban installation, for example, are studied.…”

Section: Fig 1 Evolution and Future Objectives For Wind Power Instamentioning

confidence: 99%

“…There are also more specific studies on wind turbines, but they are generally based on older machines and lower rated power, less than 1 MW (Celik et al, 2007;Jungbluth et al, 2005;Ardente et al 2008), or they refer to hybrid technologies (Khan et al, 2005). In the reference (Celik et al, 2007), micro-turbines and low power urban installation, for example, are studied. The work analyses the rapprochement of the database Ecoinvent to wind powers, focusing on studying wind turbines with power ranges from 30 kW to 800 kW.…”

Section: Fig 1 Evolution and Future Objectives For Wind Power Instamentioning

confidence: 99%

Environmental Impact of Modern Wind Power under LCA Methodology

Cámara¹,

Macías²,

Fernández³

et al. 2010

Wind Power

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“…In such limited-space urban applications, possible locations for such turbines are constrained by property boundaries and surrounding structures, particularly buildings and trees that affect wind flow in complex ways both locally and at high resolution [14][15][16][17][18]. The challenge often is compounded by difficulty in obtaining high resolution urban maps that include the height and shape of all wind obstructions [19,20].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Wind Power Generation while Minimizing Wildlife Impacts in an Urban Area

Bohrer¹,

Zhu²,

Jones³

2015

Wind Resources and Future Energy Security

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The location of a wind turbine is critical to its power output, which is strongly affected by the local wind field. Turbine operators typically seek locations with the best wind at the lowest level above ground since turbine height affects installation costs. In many urban applications, such as small-scale turbines owned by local communities or organizations, turbine placement is challenging because of limited available space and because the turbine often must be added without removing existing infrastructure, including buildings and trees. The need to minimize turbine hazard to wildlife compounds the challenge. We used an exclusion zone approach for turbine-placement optimization that incorporates spatially detailed maps of wind distribution and wildlife densities with power output predictions for the Ohio State University campus. We processed public GIS records and airborne lidar point-cloud data to develop a 3D map of all campus buildings and trees. High resolution large-eddy simulations and long-term wind climatology were combined to provide land-surface-affected 3D wind fields and the corresponding wind-power generation potential. This power prediction map was then combined with bird survey data. Our assessment predicts that exclusion of areas where bird numbers are highest will have modest effects on the availability of locations for power generation. The exclusion zone approach allows the incorporation of wildlife hazard in wind turbine siting and power output considerations in complex urban environments even when the quantitative interaction between wildlife behavior and turbine activity is unknown.

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An investigation into micro wind energy systems for their utilization in urban areas and their life cycle assessment

Cited by 34 publications

References 20 publications

Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study

Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study

Environmental Impact of Modern Wind Power under LCA Methodology

Optimizing Wind Power Generation while Minimizing Wildlife Impacts in an Urban Area

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