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Special Issue "Energy Economy, Sustainable Energy and Energy Saving"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 30 December 2018

Special Issue Editors

Guest Editor
Prof. Dr. Sang-Bing Tsai

University of Electronic Science and Technology of China Zhongshan Institute, China & Civil Aviation University of China, China & Foshan University, China
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Interests: Green Operation, Sustainability, Environmental Health, Sustainable Energy, Management Science
Guest Editor
Prof. Xiaohong Chen

Institute of Big Data and Internet Innovation, Hunan University of Commerce, School of Business, Central South University
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Interests: resource-conserving; environment; energy saving; management science
Guest Editor
Prof. Jintao Xu

National School of Development (NSD), Peking University
Director, China Center for Energy and Development, Peking University
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Interests: energy research; energy-saving; carbon reduction
Guest Editor
Prof. Qinghua Zhu

Antai College of Economics & Management, Shanghai Jiao Tong University
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Interests: energy research; energy-saving; carbon reduction; management science
Guest Editor
Prof. Baozhuang Niu

South China University of Technology
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Interests: management science; sustainability; energy research; sustainable energy

Special Issue Information

Dear Colleagues,

Energy is the basic driving force of economic growth and development, but energy development has produced a large amount of gases that have led to theglobal warming problem. Therefore, energy, economy, and the environment (3E) are closely correlated to each other. Moreover, energy is an important factor affecting national security, economic development, and people’s lives. Thus, governments all around the world regard energy policy as the key governmental policy and formulate energy policies suitable for national development according to the different conditions in their geographical environment, natural resources (mineral resources), and economic development process, as well as the international situation and energy supply status.

The promotion of sustainable energy policy mainly starts with “clean energy” (energy supply) and “energy saving” (energy demand). In terms of energy supply, great efforts must be made to promote the modification of energy structure and actively develop carbon-free energy and renewable energy. In terms of energy demand, various departments must focus on doing a good job in energy saving and carbon reduction. The industrial department should adjust industrial structure to make industry develop towards the direction of high value added and low energy consumption, encourage enterprises to realize clean production, and support the green energy industry, so as to achieve energy saving and carbon reduction. The transportation departments should mainly start with reducing vehicles’ energy consumption. The construction department should mainly promote green buildings and improve the energy efficiency of lighting and other electrical equipment. In terms of the public, government should encourage and promote the universal energy saving and carbon reduction movement and low-carbon consumption.

This Special Issue provides a practical and comprehensive forum for exchanging novel research ideas or empirical practices which bridge the latest energy economy, sustainable energy, energy policy, and energy saving.

The SI encompasses theoretical, analytical, empirical research, comprehensive reviews of relevant research, conceptual frameworks, and case studies of effective applications in this area.       

We invite colleagues to contribute to this Special Issue. Potential topics include, but are not limited to:

  • Energy economy
  • Green energy
  • Sustainable energy
  • Energy research
  • Energy development
  • Energy Saving
  • Energy Management
  • Energy Policy
  • Carbon Reduction
  • Renewable Energy

Prof. Sang-Bing Tsai
Prof. Xiaohong Chen
Prof. Jintao Xu
Prof. Qinghua Zhu
Prof. Baozhuang Niu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy economy
  • green energy
  • sustainable energy
  • energy research
  • energy development
  • energy saving
  • energy management
  • energy policy
  • carbon reduction
  • renewable energy

Published Papers (4 papers)

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Research

Open AccessFeature PaperArticle Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy
Energies 2018, 11(5), 1151; https://doi.org/10.3390/en11051151
Received: 31 March 2018 / Revised: 25 April 2018 / Accepted: 25 April 2018 / Published: 4 May 2018
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Abstract
While the introduction of a high speed rail (HSR) provides passengers with another more environmentally friendly, convenient, and time-saving transport option, it also disrupts the existing passenger transport market. This study adopts time series analysis to model the dynamic competition in a regional
[...] Read more.
While the introduction of a high speed rail (HSR) provides passengers with another more environmentally friendly, convenient, and time-saving transport option, it also disrupts the existing passenger transport market. This study adopts time series analysis to model the dynamic competition in a regional passenger transport market when an HSR is introduced. The analyses include examining the long-run equilibrium and causal relationships, and the short-run causality and dynamic relationships between transport modes. In addition, based on the model we conduct impulse response tests and variance decomposition tests to further interpret the interactions between two transport modes. An empirical study is carried out, and the findings indicate that the HSR has a negative impact on conventional rail and air transport in the long-run. In the short-run dynamics, the air passenger transport volume could be regarded as a good predictor of HSR passenger volume. In turn, the HSR passenger volume could be used to predict conventional rail transport volume. The operations of HSR and conventional rail are complementary in the short term. From the short-run market viewpoint, the HSR and conventional rail meet different kinds of passenger demand. Therefore, a previous increased passenger volume for the HSR implies an overall increasing demand for regional transport. Consequently, the past increased HSR passenger volume could be used to predict the growth of conventional rail transport. Through the impulse response test, we can further track the responses of the three transport modes to the shocks from themselves and each other. Full article
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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Open AccessArticle Economics of Renewable Energy Integration and Energy Storage via Low Load Diesel Application
Energies 2018, 11(5), 1080; https://doi.org/10.3390/en11051080
Received: 20 March 2018 / Revised: 13 April 2018 / Accepted: 24 April 2018 / Published: 27 April 2018
PDF Full-text (2667 KB) | HTML Full-text | XML Full-text
Abstract
One-quarter of the world’s population lives without access to electricity. Unfortunately, the generation technology most commonly employed to advance rural electrification, diesel generation, carries considerable commercial and ecological risks. One approach used to address both the cost and pollution of diesel generation is
[...] Read more.
One-quarter of the world’s population lives without access to electricity. Unfortunately, the generation technology most commonly employed to advance rural electrification, diesel generation, carries considerable commercial and ecological risks. One approach used to address both the cost and pollution of diesel generation is renewable energy (RE) integration. However, to successfully integrate RE, both the stochastic nature of the RE resource and the operating characteristics of diesel generation require careful consideration. Typically, diesel generation is configured to run heavily loaded, achieving peak efficiencies within 70–80% of rated capacity. Diesel generation is also commonly sized to peak demand. These characteristics serve to constrain the possible RE penetration. While energy storage can relieve the constraint, this adds cost and complexity to the system. This paper identifies an alternative approach, redefining the low load capability of diesel generation. Low load diesel (LLD) allows a diesel engine to operate across its full capacity in support of improved RE utilization. LLD uses existing diesel assets, resulting in a reduced-cost, low-complexity substitute. This paper presents an economic analysis of LLD, with results compared to conventional energy storage applications. The results identify a novel pathway for consumers to transition from low to medium levels of RE penetration, without additional cost or system complexity. Full article
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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Graphical abstract

Open AccessArticle Economic Performance and Emission Reduction of Supply Chains in Different Power Structures: Perspective of Sustainable Investment
Energies 2018, 11(4), 983; https://doi.org/10.3390/en11040983
Received: 28 March 2018 / Revised: 13 April 2018 / Accepted: 15 April 2018 / Published: 18 April 2018
PDF Full-text (561 KB) | HTML Full-text | XML Full-text
Abstract
Environmental issues have increasingly received attention in both industry and academia. Many firms have started to make sustainable investments, such as adopting the pollution-abatement technologies, to reduce carbon emissions. To investigate the impacts of the sustainable investment on firms’ profit and emission reduction,
[...] Read more.
Environmental issues have increasingly received attention in both industry and academia. Many firms have started to make sustainable investments, such as adopting the pollution-abatement technologies, to reduce carbon emissions. To investigate the impacts of the sustainable investment on firms’ profit and emission reduction, we consider supply chains with uncertain demand in different power structures. Specifically, we examine the sustainable investment problem in three supply chain power structures, i.e., manufacturer Stackelberg (MS) power structure, vertical Nash (VN) power structure and retailer Stackelberg (RS) power structure. We first derive the optimal decisions for both the retailer and manufacturer in each power structure. Then, by comparing the results in the three power structures, we find that the manufacturer gets benefits from making the sustainable investment, especially in unequal power structures. When the average market size is large (small) enough, both of the supply chain members obtain more profits in the MS (RS) power structure. From an environmental perspective, we find that the emission reduction is more significant in sequential games (i.e., MS and RS power structures) than that in a simultaneous game (i.e., VN power structure). In addition, we conduct some numerical studies and discuss more managerial insights in the paper. Full article
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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Open AccessArticle A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model
Energies 2018, 11(4), 819; https://doi.org/10.3390/en11040819
Received: 23 March 2018 / Revised: 29 March 2018 / Accepted: 30 March 2018 / Published: 2 April 2018
PDF Full-text (11552 KB) | HTML Full-text | XML Full-text
Abstract
The photovoltaic (PV) systems generate green energy from the sunlight without any pollution or noise. The PV systems are simple, convenient to install, and seldom malfunction. Unfortunately, the energy generated by PV systems depends on climatic conditions, location, and system design. The solar
[...] Read more.
The photovoltaic (PV) systems generate green energy from the sunlight without any pollution or noise. The PV systems are simple, convenient to install, and seldom malfunction. Unfortunately, the energy generated by PV systems depends on climatic conditions, location, and system design. The solar radiation forecasting is important to the smooth operation of PV systems. However, solar radiation detected by a pyranometer sensor is strongly nonlinear and highly unstable. The PV energy generation makes a considerable contribution to the smart grids via a large number of relatively small PV systems. In this paper, a high-precision deep convolutional neural network model (SolarNet) is proposed to facilitate the solar radiation forecasting. The proposed model is verified by experiments. The experimental results demonstrate that SolarNet outperforms other benchmark models in forecasting accuracy as well as in predicting complex time series with a high degree of volatility and irregularity. Full article
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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