Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis

Wang, Bing; Wang, Qian; Wei, Yi‐Ming; Li, Zhiping

doi:10.1016/j.rser.2018.03.012

Cited by 318 publications

(118 citation statements)

References 31 publications

Supporting

Mentioning

115

Contrasting

Unclassified

Order By: Relevance

“…The hashtag #climatechange had the strongest links with the hashtags #climate, #renewableenergy, and #globalwarming; this highlights the influence of renewable energy on climate change and global warming, which describe the long-term increase in the Earth's average surface temperature [72]. The impact of renewable sources on global climate change mitigation has been widely recognized [62,73,74]. Renewable sources are not perfect and have some disadvantages, such as higher investment costs, less reliable technology, and issues with the consistency of the energy supply [75].…”

Section: Resultsmentioning

confidence: 99%

Twitter Analysis of Global Communication in the Field of Sustainability

et al. 2019

View full text Add to dashboard Cite

The increasing popularity of social media worldwide provides us with an opportunity to understand social, cultural, and environmental issues about people’s perception of sustainability. The article aims at identifying the main topics of communication related to hashtag # sustainability based on a communication analysis on the Twitter network. We investigated the perception of sustainability using data from 414,926 Twitter interactions by 223,476 users worldwide. The data were recorded between April 17, 2018 and July 12, 2019. We identified Innovation, Environment, Climate Change, Corporate Social Responsibility, Technology, and Energy as key hashtags in the field of sustainability. In conjunction with this, we identified the six following communities: (1) Environmental Sustainability, (2) Sustainability Awareness, (3) Renewable Energy and Climate Change, (4) Innovative Technology, (5) Green Architecture, and (6) Food Sustainability. The usage of these communities is applicable in marketing communication as well as in the Corporate Social Responsibility activities of the given companies. The results of the analysis give the organizations a possible direction for their sustainable business model improvement via the contribution of society´s voice.

show abstract

Section: Resultsmentioning

confidence: 99%

Twitter Analysis of Global Communication in the Field of Sustainability

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Developing renewable energy can effectively reduce dependence on fossil energy and other burning energy sources, thereby improving the world's energy and economic security [1,2]. Thus, the importance of developing new energy sources is increasingly prominent [3,4]. Due to its clean, safe, and sustainable characteristics, photovoltaic (PV) power generation is still receiving continuous attention worldwide.…”

Section: Introductionmentioning

confidence: 99%

Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

et al. 2020

View full text Add to dashboard Cite

Improving the accuracy of very-short-term (VST) photovoltaic (PV) power generation prediction can effectively enhance the quality of operational scheduling of PV power plants, and provide a reference for PV maintenance and emergency response. In this paper, the effects of different meteorological factors on PV power generation as well as the degree of impact at different time periods are analyzed. Secondly, according to the characteristics of radiation coordinate, a simple radiation classification coordinate (RCC) method is proposed to classify and select similar time periods. Based on the characteristics of PV power time-series, the selected similar time period dataset (include power output and multivariate meteorological factors data) is reconstructed as the training dataset. Then, the long short-term memory (LSTM) recurrent neural network is applied as the learning network of the proposed model. The proposed model is tested on two independent PV systems from the Desert Knowledge Australia Solar Centre (DKASC) PV data. The proposed model achieving mean absolute percentage error of 2.74–7.25%, and according to four error metrics, the results show that the robustness and accuracy of the RCC-LSTM model are better than the other four comparison models.

show abstract

“…India's NDC also disregards how the expansion of biomass and the increase of biofuel production affects land uses, that is, displacement of food production and deforestation. Likewise, China's renewable energy transition to solar and wind technologies will maintain hydropower sources, particularly to supply Southeast China (Wang, Wang, Wei, & Li, 2018), a region susceptible to drought episodes in the past (Wang, Liang, Zhang, Wang, & Wei, 2014). However, China's NDC seems to have made advances in policy integration by mentioning that hydroelectricity development will take into account the environment.…”

Section: Resultsmentioning

confidence: 99%

Mainstreaming the Water-Energy-Food Nexus through nationally determined contributions (NDCs): the case of Brazil

et al. 2019

View full text Add to dashboard Cite

The Water-Energy-Food Nexus approach to the governance of natural resources seeks to identify and address the synergies and trade-offs amongst traditionally separated sectors, to capture significant feedbacks that have so far remained insufficiently understood and regulated. One key specificity of the Nexus approach is the need for intersectoral, cross-scale and stakeholder integration, which is particularly challenging due to the lack of policy coordination prevailing in many countries. Yet, some emerging integrated policy processes, such as those aimed at implementing nationally determined contributions (NDCs) under the 2015 Paris Agreement, may offer a sufficient level of integration to mainstream the Nexus approach. This article focuses on the potential of such NDC processes in Brazil. NDC processes in China, the European Union, India and Mexico are used as indicators associated with higher or lower degrees of integration for a more specific analysis of the case of Brazil. The article concludes that the barriers to sectoral integration raised by the dominant position of the agricultural sector in Brazil as regards, among other things, environmental legislation, are unlikely to be overcome by internal action. This represents a threat to achieving the target of zero deforestation in Brazil, considering the cropland-livestock forestry feedbacks involved in the growing demand for agricultural commodities from China. NDCs already provide space for international cooperation, which could be further developed to include measures for linking demand for agricultural commodities from the EU and China, and massive land-use change and deforestation in Brazil. Key policy insights. The NDCs from India, China, EU, Mexico and Brazil recognize, to varying extents, the Nexus approach in their climate policies, particularly the link with water uses in agriculture. The NDCs from EU, Mexico and Brazil include some elaborated Nexus issues related to indirect land use-forestry-agriculture.. Sectoral integration could be progressively strengthened under the Nexus approach as part of the five-yearly updates of the NDCs.. The NDCs from Brazil and China could provide a policy window to integrate indirect land use-forestry-agriculture collaborative measures, for the purposes of tackling the deforestation trade-off resulting from Brazilian exports of soybeans to China.

show abstract

Role of renewable energy in China’s energy security and climate change mitigation: An index decomposition analysis

Cited by 318 publications

References 31 publications

Twitter Analysis of Global Communication in the Field of Sustainability

Twitter Analysis of Global Communication in the Field of Sustainability

Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

Mainstreaming the Water-Energy-Food Nexus through nationally determined contributions (NDCs): the case of Brazil

Contact Info

Product

Resources

About