能源学 | SCI期刊专刊信息5条

全文截稿: 2021-03-01

影响因子: 4.88

中科院JCR分区:

• 大类 : 管理科学 - 1区

• 小类 : 能源与燃料 - 3区

• 小类 : 环境科学 - 2区

网址: https://www.journals.elsevier.com/energy-policy

Implementing a transition towards a sustainable energy future requires policy changes and innovations at all levels across multiple societal landscapes (Bridge et al., 2013). Production processes, uses, and energy conservation are interrelated policies (Gu et al., 2014), which together move regions closer to their socioeconomic and ecological sustainability targets.

The existing literature has already explored selected socio-spatial mechanisms driving the way energy policies are enacted, with contributions ranging to spatial neighbor effects of diffused renewable energy technologies, to the effects of conservation policies and behaviors within regions (e.g. Graziano and Gillingham, 2015). Nevertheless, insufficient attention has so far been paid to the role of territorial characteristics in explaining the impact of transition policies, public responses, practices, and technologies on energy efficiency among different geographical and institutional contexts (Stoeglehner et al., 2011; Solomon and Calvert, 2017). In fact, it can be argued that the knowledge related to energy best practices in energy transition processes and policies is only imperfectly public, and therefore diffuses with spatial and temporal lags in regions that are geographically or technologically far from the technological frontier (Keller, 2004; Caragliu and Nijkamp, 2016).

This special issue will host benchmark works on the spatial dynamics and spatial effects of policies regulating energy transitions, from conservation to incentives supporting the adoption of new technologies, across a range of diverse global regions.

The issue aims at presenting a cohesive body of empirical findings and policy recommendations for fostering sustainable transition processes targeted at combining spatial aspects and dynamics at the meso and macro level, and the interplay between micro-level dimensions and macro-level reactions to sustainable energy policies.

The issue will welcome theoretical and empirical contributions especially related, but absolutely not limited to the following themes:

Region-specific policies and best practices on energy efficiency;

Geographical, institutional, and social-cultural features affecting the space-specific impact of energy policies;

Spatial lock-in and peer effects in the adoption of energy efficiency technologies;

Policy and/or technological regional spillovers;

Spatial macroeconomic patterns of energy transition policies;

Spatial patterns and drivers in the adoption of energy efficiency technologies.

全文截稿: 2021-03-30

影响因子: 5.439

中科院JCR分区:

• 大类 : 工程技术 - 2区

• 小类 : 能源与燃料 - 2区

• 小类 : 绿色可持续发展技术 - 2区

网址: https://www.journals.elsevier.com/renewable-energy

The spread of renewable energy sources (RES) has grown exponentially in recent years, leading to the creation of a new concept of urban neighborhood such as the Positive Energy District, with an annual net import of zero energy. This is achieved thanks to renewable energy integrated into a balanced and optimized energy system, involving smart homes, electric vehicles, intelligent buildings, so as to reduce peaks, load shifting, response to demand, create incentives for the consumer, with a high and convenient quality of life for the inhabitants of every single district.

Urban development must undergo a transition from traditional building solutions to renewable positive energy districts, in order to achieve the European energy and climate objectives, passing through the awareness and knowledge of the citizens themselves. It is necessary to redesign the electrical system through the integration of different systems and infrastructures and the interaction between buildings, users and energy, mobility and ICT systems, while ensuring renewable energy supply to ensure a good life in accordance with the social, economic and environmental sustainability.

It is urgently necessary to implement an energy revolution that includes not only a change in technologies, but also a holistic approach, which considers the energy cycle in its entirety with the aim of minimizing emissions and waste. To this end, it will be essential to increase the use of renewable energy and develop an intelligent distribution network. With this in mind, a holistic approach is needed for a new grid model, in which renewable sources must have an increasingly integrated and interconnected use to final consumption in all sectors. The transition towards low carbon cities calls for the development of new technologies, innovative modelling capabilities, circular economy viable business models and supporting policies. It is necessary to rethink urban planning in a holistic and resilient way, through renewable energy solutions that make cities sustainable, healthy and socially attractive places to live. In addition, the transition to sustainable energy areas requires regulatory decisions to overcome obstacles and social awareness of the advantages.

This Special Issue will address these challenges as well as the opportunities and promising research and development to support the holistic transformation of cities towards sustainable energy areas.

Topics of interest:

concentrated/diffused urban integration of renewable energy sources

positive energy districts design and simulation

integration of renewable energy sources in urban environment

hybrid distribution systems (DC and AC) integrating renewable energy sources

computational techniques to improve modeling and simulation of renewable energy systems in urban electrical networks

power quality and electromagnetic compatibility of renewable energy based systems

electricity markets operation and peer-to-peer negotiations in presence of RES

renewable energy generation to supply electric mobility infrastructures

microgrids and demand response to accommodate renewable energy systems

market design, business models development and supporting policies to facilitate the integration of high penetration of RES in urban areas.

全文截稿: 2021-03-31

影响因子: 8.426

中科院JCR分区:

• 大类 : 工程技术 - 1区

• 小类 : 能源与燃料 - 2区

• 小类 : 工程：化工 - 1区

网址: https://www.journals.elsevier.com/applied-energy

With significantly increased integration of advanced information and communication technology into social production, economy and life in general terms, data will gradually become an essential driving force for the development of the smart grid and smart energy system. The comprehensive digitization, informatization, and intelligence of the energy system have impacted the amount of relevant data increasing exponentially, and being characterized as massive, multi-source, heterogeneous, etc. Big data analytics can handle massive quantities of data, analyze data from various sources, discover the causal relationship between different data sources from one hand and extracted knowledge from another hand, as well as to predict valuable information based on correlated data sources. By combining massive data with collected information from different links of the energy system, including planning, operation, management, policy and trading, various entities, such as power utilities, customers, energy investment, society, etc., can use big data analytics based technology to deepen the understanding of energy systems and its relevant links, to create new value and finally to promote reasonable planning and efficient operation of the smart grid and smart energy systems.

This Special Issue presents the state-of-the-art work on advanced big data analytics methodologies and their application in the smart grid and smart energy systems.

Topics of interest include, but are not limited to, the following:


Data analytics for energy system planning and portfolio investment

Data analytics for enhanced monitoring and situational awareness of energy system

Data analytics for energy system operation and control

Data analytics for multi-energy integration

Data analytics for convergence of electricity and transportation

Data analytics for energy market and energy trading

Data-driven uncertainty characterization of stochastic renewable energy resources

Data analytics for asset health monitoring and management

Data-driven customer behavior analysis and demand response

Data detection, fusion, processing, storage and information management in energy system

全文截稿: 2021-07-13

影响因子: 4.084

中科院JCR分区:

• 大类 : 工程技术 - 2区

• 小类 : 物理化学 - 3区

• 小类 : 电化学 - 3区

• 小类 : 能源与燃料 - 3区

网址: https://www.journals.elsevier.com/international-journal-of-hydrogen-energy

Leading economies around the world, including the U.S., China, Japan, as well as European ones, have announced or upgraded their plans about hydrogen in recent years, targeting at several thousands of hydrogen refueling stations and millions of fuel cell vehicles.

However, it is surprising to find that most of the demonstration projects of hydrogen and fuel cell applications currently source hydrogen from conventional natural gas reforming and petroleum refineries’ by-products. There are at least two main barriers standing on the way of developing green or clean hydrogen energy.