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Energy Sources Part B-Economics Planning and Policy最新文献

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Assessing energy misperception in Europe: evidence from the European social survey 评估欧洲的能源误解:来自欧洲社会调查的证据
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-02-25 DOI: 10.1080/15567249.2022.2042428
Paola Tiranzoni, Alessandro Sapio, Alessia Casamassima, P. Falcone
ABSTRACT The present study investigates the determinants of differences between public preferences for energy sources and the actual country-level energy mix (“dissatisfaction”). Nineteen European countries have been examined, drawing on data from the 2016 European Social Survey. The main findings are that trusting individuals express lower dissatisfaction with the share of renewable energy sources and greater dissatisfaction with the share of fossil fuels and nuclear power; and individuals who are worried about energy security expressed an inflated preference for programmable energy sources (e.g. fossil fuels and nuclear power). The implications of the findings and the importance of public energy preferences for shaping policy views are briefly discussed.
本研究调查了公众对能源的偏好与实际国家层面的能源结构(“不满”)之间差异的决定因素。根据2016年欧洲社会调查的数据,对19个欧洲国家进行了调查。主要发现是,信任个体对可再生能源份额的不满程度较低,对化石燃料和核电份额的不满程度较高;担心能源安全的个人对可编程能源(如化石燃料和核能)表现出过度的偏好。本文简要讨论了研究结果的含义以及公共能源偏好对形成政策观点的重要性。
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引用次数: 2
The effect of mismatched supply and demand of electricity on economic growth in South Africa 电力供需不匹配对南非经济增长的影响
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-02-21 DOI: 10.1080/15567249.2022.2038731
Tichinashe Mabugu, R. Inglesi‐Lotz
ABSTRACT Since 2008, the South African economy has experienced several power cuts (unplanned or as part of a load-shedding schedule), presumably because of the inability of the electricity supply to cover the demand. This paper examines the impact of such a demand-supply mismatch on the country’s economic growth within a production function framework. To do so, we use an Autoregressive Distributed Lag Model (ARDL) for the period 1985 to 2019. The paper finds that a positive mismatch (or surplus) of electricity (supply>demand) boosts economic growth in the long run. This finding provides evidence that supports the necessity of electricity supply expansion and the promotion of energy efficiency measures that both will create a mismatch (surplus) conducive to economic growth.
自2008年以来,南非经济经历了几次停电(计划外或作为减负荷计划的一部分),可能是因为电力供应无法满足需求。本文在生产函数框架下考察了这种供需不匹配对国家经济增长的影响。为此,我们使用了1985年至2019年期间的自回归分布滞后模型(ARDL)。研究发现,从长期来看,电力供给>需求的正错配(或盈余)促进了经济增长。这一发现为支持扩大电力供应和促进能源效率措施的必要性提供了证据,两者都将产生有利于经济增长的错配(盈余)。
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引用次数: 5
Energy management in microgrids considering the demand response in the presence of distributed generation resources on the IoT platform 考虑物联网平台上分布式发电资源存在时需求响应的微电网能源管理
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-02-19 DOI: 10.1080/15567249.2022.2038729
Amirhossein Bolurian, H. Akbari, T. Daemi, S. A. Mirjalily, S. Mousavi
ABSTRACT Existing electricity networks do not have information about their endpoints due to their hierarchical structure. Internet of things technology allows two-way communication with customers. This work proposes an energy management system for optimal planning of a microgrid, considering demand response and uncertainties on the internet of things framework. The planning problem is solved using the first and the second-level Benders decomposition method. Then, the model third level is developed and optimized by genetic-fuzzy algorithm. For energy management in the internet of things platform, first the consumers are clustered based on their consumption by C-Means algorithm and then the network sensor energy consumption is optimized by genetic-fuzzy algorithm. To choose the optimal solution, a non-dominant fuzzy decision process beam is adopted. Based on the numerical results, the developed model outperforms the two-level model as well as the three-level model that uses particle swarm optimization.
现有的电力网络由于其分层结构而没有关于其端点的信息。物联网技术可以实现与客户的双向沟通。本研究提出了一种用于微电网优化规划的能源管理系统,考虑了物联网框架下的需求响应和不确定性。采用一级和二级Benders分解法求解规划问题。然后,利用遗传模糊算法对模型第三层进行开发和优化。对于物联网平台的能源管理,首先采用C-Means算法对消费者的能耗进行聚类,然后采用遗传模糊算法对网络传感器的能耗进行优化。为了选择最优解,采用非优势模糊决策过程束。数值结果表明,所建立的模型优于采用粒子群优化的两层模型和三层模型。
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引用次数: 3
The Threshold and Contingency Effects of Technological Innovation on Renewable Energy 技术创新对可再生能源的门槛效应与权变效应
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-02-15 DOI: 10.1080/15567249.2021.1999346
Chin-Yu Lee, C. Tang
ABSTRACT The global temperature has increased since the past century due to the over-reliance on fossil fuels. This scenario has triggered an energy transition toward environmentally friendly sources of energy. Technological innovation plays a key role in this energy transition scenario. Therefore, we examine the threshold and contingency effects of technological innovation on renewable energy. The panel threshold regression model is applied to estimate the relationships. Our findings suggest that technological innovation is important in enhancing renewable energy. However, we find that the relationship between technological innovation and renewable energy is contingent upon the level of technological innovation itself and other determinants, namely institutional quality, financial development, FDI, and human capital. These findings suggest that the aims of policies should not only focus on strategies to improve technological innovation but should also consider measures to support the drivers that facilitate the impact of technological innovation on renewable energy.
自上个世纪以来,由于过度依赖化石燃料,全球气温有所上升。这种情况引发了向环境友好型能源的能源转型。在这种能源转型情景中,技术创新发挥着关键作用。因此,我们研究了技术创新对可再生能源的阈值效应和权变效应。采用面板阈值回归模型估计关系。我们的研究结果表明,技术创新在提高可再生能源方面很重要。然而,我们发现技术创新与可再生能源之间的关系取决于技术创新本身的水平和其他决定因素,即制度质量、金融发展、外国直接投资和人力资本。这些研究结果表明,政策的目标不仅应该关注改善技术创新的战略,还应该考虑支持促进技术创新对可再生能源影响的驱动因素的措施。
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引用次数: 2
Evaluating and forecasting direct carbon emissions of electricity production: A case study for South East Europe 评估和预测电力生产的直接碳排放:东南欧的案例研究
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-02-15 DOI: 10.1080/15567249.2022.2037028
A. Viskovic, Vladimir Franki
ABSTRACT Global effort to reduce greenhouse gas emissions is continuously growing stronger. Realization of the direct correlation of quality of life to the environmental aspects of the energy sector has been at the heart of the new energy paradigm. In light of this, ensuring full awareness of current and potential emissions, with regard to market circumstances and policy implications, is crucial in acquiring a better overview on the current issues and the future development of the energy system. Research presented in this paper offers a method for calculating direct CO2 emissions from electricity generation. It also offers an insight into current issues and future prospects of the South East Europe electricity market. Observing various scenarios, the region’s emission intensity is evaluated, with special consideration given to the potential impact of varying carbon prices.
全球减少温室气体排放的努力不断加强。实现生活质量与能源部门环境方面的直接关联一直是新能源范式的核心。有鉴于此,在市场情况和政策影响方面确保充分认识目前和潜在的排放,对于更好地全面了解当前问题和能源系统的未来发展是至关重要的。本文提出的研究提供了一种计算发电直接二氧化碳排放量的方法。它还提供了对东南欧电力市场当前问题和未来前景的见解。通过观察不同情景,评估了该地区的排放强度,并特别考虑了不同碳价格的潜在影响。
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引用次数: 3
Bi-stage planning framework for a solar-battery based micro-grid using techno-socio-economic evaluation 采用技术-社会经济评价的太阳能电池微电网双阶段规划框架
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-01-19 DOI: 10.1080/15567249.2021.2025170
P. Paliwal
ABSTRACT Solar based microgrids provide an environmentally benign alternative to conventional generation. However, their capital intensive structure and variability compels comprehensive examination of planning scenarios. This paper presents a bi-stage planning framework for a solar-battery microgrid. In the first stage of planning, sizing is carried out for autonomous operation. The second stage extends analysis to grid connected mode wherein four cases of microgrid operation are investigated. The analysis involves techno-socio-economic evaluation of constrained and unconstrained power flow. The parameters such as risk state probability, unmet load fraction, levelized cost of energy and social cost of carbon are used to evaluate and compare different cases for a solar-battery based microgrid located in Jaisalmer, Rajasthan, India. The results demonstrate that storage integration is essential for sustaining reliability in autonomous operation of microgrid. It can be inferred from the results that permitting reverse power flow renders considerable economic benefits and fetches lowest cost.
基于太阳能的微电网为传统发电提供了一种环保的替代方案。然而,它们的资本密集结构和可变性迫使对规划情景进行全面检查。本文提出了一个太阳能电池微电网的双阶段规划框架。在规划的第一阶段,进行自主操作的分级。第二阶段将分析扩展到并网模式,其中研究了四个微网运行案例。分析涉及有约束和无约束潮流的技术-社会经济评价。采用风险状态概率、未满足负荷比例、能源平准化成本和碳社会成本等参数,对印度拉贾斯坦邦斋萨尔梅尔太阳能电池微电网的不同案例进行了评估和比较。结果表明,储能一体化是保证微电网自主运行可靠性的关键。从结果可以推断,允许反向潮流可以获得可观的经济效益和最低的成本。
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引用次数: 1
Study of energy poverty in the European Union: the effect of distributed generation 欧盟能源贫困研究:分布式发电的影响
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-01-18 DOI: 10.1080/15567249.2021.2018525
C. Ramos, M. Alvargonzález, B. Moreno
ABSTRACT The objective of this work is to measure the energy poverty in the European Union through the construction of an Energy Poverty Index by means of the multivariant technique of factorial analysis. The index is calculated for the 28 member countries of the European Union in the years 2008 and 2017. Moreover, the effect of distributed generation renewable resources (such as photovoltaic, small hydro or micro wind) on energy poverty is studied. The obtained results show that Bulgaria, Rumania, Greece, Latvia and Lithuania are among the countries that display the highest index. The countries with the lowest index are Denmark, Sweden, Finland, the Netherlands and Slovakia, among others. The distributed generation contributes to reduce energy poverty in all countries. In fact, Ireland, France, Luxembourg, Slovenia, Finland and Sweden, have shown greater capacity than others to respond to changes in the distributed generation.
摘要本研究的目的是利用多变量析因分析技术构建能源贫困指数,以衡量欧盟的能源贫困。该指数是针对2008年和2017年欧盟28个成员国计算的。此外,还研究了分布式发电可再生资源(如光伏、小水电或微风)对能源贫困的影响。所得结果表明,保加利亚、罗马尼亚、希腊、拉脱维亚和立陶宛是指数最高的国家。指数最低的国家包括丹麦、瑞典、芬兰、荷兰和斯洛伐克等。分布式发电有助于减少各国的能源贫困。事实上,爱尔兰、法国、卢森堡、斯洛文尼亚、芬兰和瑞典比其他国家更有能力应对分布式发电的变化。
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引用次数: 2
Do new energy power generation companies have better financial performance? An analysis for China’s power generation industry 新能源发电企业财务业绩更好吗?中国发电行业分析
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2022-01-05 DOI: 10.1080/15567249.2021.2023707
Hangxing Zhou, Jian Sun
ABSTRACT Fossil-fired power generation is the most significant contributor to China’s carbon emissions. New energy such as wind and solar is rapidly deploying in China and is considered an alternative to fossil energy. This paper focuses on the comparison in financial performance between fossil-fired generation and new energy generation companies. To do so, we combine the listed companies’ financial data from 2010 to 2020 with the catastrophe progression method to evaluate the financial performance of China’s power generation companies. The results indicate that although the profitability of the fossil-fired generation industry has stagnated in the past ten years, its comprehensive financial performance is still better than that of the new energy industry. The profitability of new energy companies has increased significantly in the past decade, especially the wind energy companies, whose profitability has greatly improved from 2013 to 2020. Wind power generation also has outstanding operating capacity among new energy generations.
摘要:化石燃料发电是中国碳排放的最大来源。风能和太阳能等新能源正在中国迅速发展,被认为是化石能源的替代品。本文主要对化石燃料发电企业和新能源发电企业的财务绩效进行比较。为此,我们结合2010年至2020年上市公司的财务数据,运用巨灾级数法对中国发电企业的财务绩效进行了评价。结果表明,尽管近十年来火电发电行业的盈利能力停滞不前,但其综合财务绩效仍优于新能源行业。近十年来,新能源企业的盈利能力显著提升,尤其是风能企业,2013年至2020年盈利能力大幅提升。风力发电在新一代能源中也具有突出的运行能力。
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引用次数: 1
A study of the energy efficiency formula for the development of economic progress policies in Greece 希腊经济进步政策发展的能源效率公式研究
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2021-12-28 DOI: 10.1080/15567249.2021.2007178
I. Makris, Vassilis Babalos, P. Dimitrakopoulos
ABSTRACT In this article, we try to study the efficiency of energy indicators using the method of the analysis of the efficiency formula in 27 countries of EU with data drawn from Eurostat for the years from 1995 to 2014. Then, using the correlation of these data with the GDP of each country, we try to determine the energy policy of Greece as well as in each of EU countries. The novelty of this study is the division of the countries into two groups based on the contribution of industry to GDP. Our motivation for this research is the climate change and the need for redesigned policies to improve energy and economy efficiency. Findings indicate that such a quantitative analysis can provide useful measurable knowledge for policy makers in each of the 27 countries of the EU separately. The results indicate that EU policies can be smart, diversified, complementary and complete, aiming investment in the green economy.
本文利用欧盟统计局1995 - 2014年的数据,采用效率公式分析的方法,对欧盟27个国家的能源指标效率进行了研究。然后,利用这些数据与各国GDP的相关性,我们试图确定希腊以及每个欧盟国家的能源政策。这项研究的新颖之处在于根据工业对GDP的贡献将国家分为两组。我们进行这项研究的动机是气候变化和需要重新设计政策,以提高能源和经济效率。研究结果表明,这种定量分析可以为欧盟27个国家的决策者分别提供有用的可衡量知识。结果表明,欧盟的政策可以是明智的、多样化的、互补的和完整的,以投资绿色经济为目标。
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引用次数: 0
The driving factors of CO2 emissions from electricity generation in Spain: A decomposition analysis 西班牙发电二氧化碳排放的驱动因素:分解分析
IF 3.9 4区 工程技术 Q2 Chemical Engineering Pub Date : 2021-12-21 DOI: 10.1080/15567249.2021.2014604
Vicent Alcántara, Emilio Padilla, P. D. del Río
ABSTRACT We apply an index decomposition analysis to investigate the main drivers of CO2 emissions in the electricity generation sector in Spain over the period 1991–2017. We quantify the impact of five different effects: carbonization, transformation, fossil intensity, electricity intensity, and production effects. Four subperiods are identified. The relevance of the drivers changed over these subperiods. The fossil intensity, electricity intensity, and production effects played an important role in the increase in emissions during the first half of the period, and particularly from 1999 to 2005. In contrast, the carbonization and fossil intensity effects were the dominant drivers of emissions reductions between 2006 and 2010. The research allows an assessment of the impact of different measures on emissions by considering their influence on the different effects, and suggests which sets of measures could be more effective in reducing emissions.
我们应用指数分解分析来调查1991-2017年期间西班牙发电部门二氧化碳排放的主要驱动因素。我们量化了五种不同效应的影响:碳化、转化、化石强度、电力强度和生产效应。确定了四个子阶段。这些驱动因素的相关性在这些时间段内发生了变化。前半期,特别是1999 - 2005年,化石燃料强度、电力强度和生产效应对排放量的增加起了重要作用。相比之下,碳化和化石强度效应是2006 - 2010年减排的主要驱动因素。这项研究允许通过考虑不同措施对不同效果的影响来评估不同措施对排放的影响,并建议哪一套措施在减少排放方面可能更有效。
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引用次数: 4
期刊
Energy Sources Part B-Economics Planning and Policy
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