scholarly journals Widening the wind power cluster framework with a regional energy cluster: a research note

2019 ◽  
Vol 5 ◽  
Author(s):  
Jari Sarja
Keyword(s):  
Wind Power ◽  
Energy Industry ◽  
Operating Environment ◽  
Study Region ◽  
Regional Energy ◽  
Cooperation Network ◽  
Cluster A ◽  
Practical Object ◽  
Energy Cluster

The energy industry is identified as a growing business area and the target of development in a case study region. This practitioner’s report describes how the regional energy cluster was defined by using the wind power cluster framework as a basis. The identified energy industry players are positioned in the wind power cluster framework and the actors and operating environment are described and analyzed. According to this study the cluster framework can be a basis for cluster definitions of other industries, especially in the same case region. The practical object of the study is to give regional officials a clear picture of the energy industry operating environment and its cooperation network.

scholarly journals An Indicator-Based Approach for Analysing the Resilience of Transitions for Energy Regions. Part II: Empirical Application to the Case of Weiz-Gleisdorf, Austria

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2263 ◽  
Author(s):  
Romano Wyss ◽  
Susan Mühlemeier ◽  
Claudia Binder
Keyword(s):  
Path Length ◽  
Energy Systems ◽  
Energy System ◽  
Degree Centrality ◽  
Study Region ◽  
Regional Energy ◽  
Stabilization Phase ◽  
Full Picture ◽  
Regional Energy Systems

In this paper, we apply an indicator-based approach to measure the resilience of energy regions in transition to a case study region in Austria. The indicator-based approach allows to determine the resilience of the transition of regional energy systems towards higher shares of renewables and potentially overall higher sustainability. The indicators are based on two core aspects of resilience, diversity and connectivity. Diversity is thereby operationalized by variety, disparity and balance, whereas connectivity is operationalized by average path length, degree centrality and modularity. In order to get a full picture of the resilience of the energy system at stake throughout time, we apply the measures to four distinct moments, situated in the pre-development, take-off, acceleration and stabilization phase of the transition. By contextually and theoretically embedding the insights in the broader transitions context and empirically applying the indicators to a specific case, we derive insights on (1) how to interpret the results in a regional context and (2) how to further develop the indicator-based approach for future applications.

scholarly journals Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

2021 ◽  
Vol 13 (12) ◽  
pp. 6681
Author(s):  
Simian Pang ◽  
Zixuan Zheng ◽  
Fan Luo ◽  
Xianyong Xiao ◽  
Lanlan Xu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Solar Power ◽  
Prediction Method ◽  
Random Fluctuation ◽  
Concentrating Solar Power ◽  
Short Term ◽  
Hybrid Forecasting ◽  
Energy Cluster

Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.

Wind power prefeasibility study for agricultural applications in Kerman, Iran: a case study

2014 ◽  
Vol 5 (1) ◽  
pp. 25 ◽  
Author(s):  
Ighball Baniasad Askari ◽  
Lina Baniasad Askari ◽  
Mehran Ameri
Keyword(s):  
Wind Power ◽  
Agricultural Applications
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