On Regional Energy Utilization in the Farmer Life in China: A Case Study of the Countryside in Hebei

2010 ◽  
Author(s):  
Ping Guo
Keyword(s):  
Energy Utilization ◽  
Regional Energy

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 “Power to the People!”: Social Media Discourse on Regional Energy Issues in Australia

2018 ◽  
Vol 22 ◽  
Author(s):  
Kerri Morgan ◽  
Marc Cheong ◽  
Susan Bedingfield
Keyword(s):  
Social Media ◽  
Economic Sectors ◽  
Regional Energy ◽  
Power Stations ◽  
The People ◽  
Novel Approach ◽  
Social Media Platforms ◽  
The Voice ◽  
Energy Issues

Social media provides people from all socio-economic sectors with the opportunity to voice their opinions. Platforms such as Twitter provide the means to share one’s opinion with little effort and cost. But do these media empower everyday people to make their voice heard? In this research, we introduce a novel approach for investigating the voice of different Twitter groups on social media platforms, by combining text clustering and an analysis of cliques in the resulting network. We focus on a case study using Twitter interactions with respect to energy issues, in particular the closure of coal-fired power stations such as Hazelwood. Implications from this study will benefit stakeholders from governments to industry to the ‘common man’, in understanding how discourse on social media reflects public consumer sentiment.

City Energy Saving Assessment Based on Fuzzy Hierarchical Analysis - A Case Study of Wuhan City in China

2012 ◽  
Vol 485 ◽  
pp. 425-428
Author(s):  
Jun Liang Wang ◽  
Qing Ying Zhang ◽  
Li Yin
Keyword(s):  
Energy Conservation ◽  
Social Development ◽  
Energy Saving ◽  
Emission Reduction ◽  
Energy Utilization ◽  
Evaluation Index ◽  
Hierarchical Analysis ◽  
Wuhan City

Energy conservation has become an important topic of social development. The assessment of the energy utilization results is meaningful, which is the springboard of the paper. Taking Wuhan city in China as an example, lots of in-depth investigations are accomplished, hierarchical analysis and fuzzy computation are made, so as to build a set of evaluation index to estimate the actuality of energy saving and emission reduction in Wuhan. The result is also available to appraise the energy conservation in other cities.

scholarly journals Improved empirical models for estimating surface direct and diffuse solar radiation at monthly and daily level: A case study in North China

2019 ◽  
Vol 43 (1) ◽  
pp. 80-94 ◽  
Author(s):  
Yao Feng ◽  
Dongmei Chen ◽  
Xinyi Zhao
Keyword(s):  
Solar Radiation ◽  
North China ◽  
Field Measurements ◽  
Empirical Models ◽  
Energy Utilization ◽  
Total Solar Radiation ◽  
Diffuse Solar Radiation ◽  
Precise Knowledge ◽  
The Impact

Precise knowledge of direct and diffuse solar radiation is important for energy utilization and agricultural activities. However, field measurements in most areas of the world are only for total solar radiation. The satellite-retrieved direct and diffuse solar radiation show poor performance under overcast skies. Therefore, better empirical models are needed to estimate direct and diffuse solar radiation by considering the impact of aerosols over polluted regions. A case study is conducted in North China with the ground-measured solar radiation and satellite-retrieved aerosol optical depth to improve new empirical models at monthly (from 2000 to 2016) and daily (from 2006 to 2009) level. The improved empirical models are validated using the field measurements and compared with the existing models. Results suggest that these models perform well in estimating direct solar radiation at monthly ( R2 = 0.86–0.91, RMSE = 0.76–0.83 MJ/m2) and daily ( R2 = 0.91–0.94, RMSE = 1.51–1.64 MJ/m2) level. The accuracy of estimated monthly ( R2 = 0.95–0.96, RMSE = 0.57–0.65 MJ/m2) and daily ( R2 = 0.91–0.93, RMSE = 1.09–1.15 MJ/m2) diffuse solar radiation, particularly the maximum diffuse solar radiation value, has been improved compared to the existing models. The models presented in this study can be useful in the improvement and evaluation of solar radiation dataset over polluted regions similar to North China.

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