4 results on '"*ENVIRONMENTAL policy"'
Search Results
2. Sustainable development of energy, water and environment systems 2016.
- Author
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Pukšec, Tomislav, Leahy, Paul, Foley, Aoife, Markovska, Natasa, and Duić, Neven
- Subjects
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RENEWABLE energy sources , *NATURAL resources , *ENERGY development , *POWER resources , *ENVIRONMENTAL policy - Abstract
This paper presents the editorial for the Renewable and Sustainable Energy Reviews joint special issue devoted to the research work discussed and presented at the 11th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), held from the 4th September to the 9th September 2016 in Lisbon, Portugal and the 2nd South East European (SEE) SDEWES Conference held from June 15th to June 18th, 2016 in Piran, Slovenia. This special issue is in line with the journal's aim of publishing research from across the ever-broadening field of renewable and sustainable energy with a strong review element. Previous SDEWES conference special issues have gathered a significant knowledge base in the field of sustainable development that reflects the continuous research efforts of the SDEWES research community. Therefore, this editorial provides not only an overview of the papers published in this particular special issue, but also a wider overview of the current trends in the domain of sustainable and renewable energy. This year's special issue focuses particularly on the benefits of the bio-based economy, energy security issues, fossil fuel thermal plant alternatives and environmental constraints, district heating and cooling together with cross sector energy efficiency and energy conservation issues. Sustainable transport systems, the issue of fuel poverty in urban neighbourhoods and renewable energy to support development of peripheral rural areas, optimising passive building design for hot climates and solar-powered heating and cooling are further topics featured in this special issue. In the process of selecting papers for this special issue, the guest editors invited in total 23 extended manuscripts for consideration for publication. After a rigorous review process by expert reviewers overseen by the guest editors a total of 16 articles were accepted for publication. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
3. Smart grid framing through coverage in the Canadian media: Technologies coupled with experiences.
- Author
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Mallett, Alexandra, Jegen, Maya, Philion, Xavier D., Reiber, Ryan, and Rosenbloom, Daniel
- Subjects
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SMART power grids , *FRAMING (Building) , *RENEWABLE energy sources , *NATURAL resources , *ENERGY development , *ENVIRONMENTAL policy , *POWER resources - Abstract
Smart grid technologies are an important dimension of electricity system change and governments have been actively involved in their diffusion in a number of jurisdictions. Deployment rates for technologies involving the public have varied, despite governments pursuing similar policies/programs and implementing comparable technologies, such as smart meters. An important question is why. Examining smart grids in the media can be helpful in understanding these differences. Media coverage represents a means through which to gauge how issues are being framed, which can in turn influence public perceptions of these technologies. We examine media coverage of smart grids in national-level Canadian newspapers over time to explore how often and what aspects of smart grids are emphasized within this context. We found that while initially more positive aspects of smart grids were highlighted, over time media coverage of smart grid technologies and deployment programs became more negative. This suggests that people's perceptions of technologies are likely entwined with the processes in which people become exposed to them – negative experiences with the implementation programs often correlated to negative perceptions of technologies. We also found that negative technology and program attributes were more pronounced in certain regions of Canada versus others despite embarking upon similar policies and programs aimed at advancing smart grids (introducing smart meters). In addition, the specific risks and benefits differed, depending on the sub-national geographic setting. Thus, in designing and executing policies, decision makers ought to be cognizant of issue framing and which ones will resonate more within their local context. As smart grid proponents seek to introduce a further array of technologies into societies, we suggest that they concurrently carefully consider the channels in which people become exposed to and experience these technologies. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
4. Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks.
- Author
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Vlontzos, G. and Pardalos, P.M.
- Subjects
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GREENHOUSE gas mitigation , *AGRICULTURAL productivity , *DATA envelopment analysis , *ARTIFICIAL neural networks , *ENVIRONMENTAL policy , *AGRICULTURAL policy - Abstract
One of the most important policy reforms for the European Union (EU) agriculture was the implementation of the Agenda 2000, which establishes a new framework for subsidies management, decoupled from both crop and animal production for the vast majority of products. One of the main goals of this new policy framework is the improvement of its environmental impact. Additionally, there is a need for the implementation of new efficiency assessment and prognostication tools for the evaluation of EU farming, because the influence of market forces has been increased substantially. Having in mind the efficacy of Data Envelopment Analysis (DEA) methodology, it is used to calculate and quantify the environmental efficiency of EU countries' primary sectors. In this paper, the DEA Window methodology is used to assess GHG emissions efficiency and identify efficiency change of EU countries' primary sectors, under the strong influence of Common Agricultural Policy (CAP), quantifying by this way its positive or negative impact on a national basis, providing at the same time hints for counteractive actions. The main results provide the significant differences among EU countries, with the less developed ones to perform low environmental efficiency rates. Moreover, countries which their output depends to a large extend on arable crops achieve low efficiency rates too. Finally, Artificial Neural Networks (ANNs) are being used as a tool to estimate future performance of EU countries primary sectors on the topic of Greenhouse Gas (GHG) emissions as an undesirable output of agricultural production process. The validation performance characteristics, as well as the linear fit to this output-target relationship, closely intersect the bottom-left and top-right corners of the plot. The combination of these methodologies provides a new methodological approach for CAP evaluation and prognostication, appropriately adjusted to the new market oriented framework for EU agricultural production. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
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