Implementing EU climate and energy policies in Poland: policy feedback and reform

European Union (EU) climate/energy targets and policies are poised for the first full climate policy cycle – from adoption and implementation of the policy package for 2020, to reform for 2030. A dynamic approach to the ways in which EU policies affect policy development is developed by applying theories of domestic implementation, policy feedback and integration. Implementation experiences in Poland – the ‘least climate ambitious’ EU member state – affected Polish preferences for reformed EU policies. Existing EU policies, their ‘fit’ with Poland’s energy interests and change in anticipation of future EU policies explain much of the variation in preferences. Second, policy feedback from Poland significantly affected the EU 2030 climate and energy framework. As yet, the EU has succeeded only partly in gathering momentum through a ‘snowball’ effect whereby positive policy feedback from implementation generates further steps.     

Negotiating energy democracy in practice: governance processes in community energy projects

There is a growing ‘energy democracy’ (ED) movement which regards the transition to renewable energy as an opportunity for socio-economic transformation, as well as technological innovation. The literature on ED tends to associate greater democratic control of energy systems with increased community control over the means of energy generation and distribution. Nonetheless, this literature often assumes rather than demonstrates that the forms of governance it promotes are more democratic than the status quo. This analysis contributes to the emerging field of ED by assessing the complex and varied ways in which communities in Scotland practise energy governance. By focusing on three key governance processes (decision-making, accountability and dispute resolution), the importance of local contexts for the establishment and negotiation of democratic practices is demonstrated. This local specificity, however, also raises further questions regarding the universal applicability of the ED concept.     

我国重点调查企业工业锅炉污染排放特征

基于中国2015年环境统计重点调查工业企业的逐台工业锅炉数据,分析了中国重点调查工业企业工业锅炉的现状、能源消耗、污染排放及治理水平等。统计数据分析表明:在能源消耗和废气污染物产生排放量上,燃煤工业锅炉占85%以上;燃煤工业锅炉规模越小,其烟粉尘排放强度越大;超过一半以上工业锅炉烟粉尘直排,烟粉尘去除率虚高;工业锅炉相对集中在东北、华北少数几个大省及热力、化工等少数几个重污染行业。对工业锅炉污染治理提出治理对策建议。     

Climate Change and Energy Technologies in Undergraduate Introductory Science Textbooks

Global climate change and the implementation of energy technologies are among the most pressing issues facing society and the environment today. Related educational content spans the science disciplines. Through an analysis of introductory-level university textbooks from four major US publishers in Biology, Chemistry, and Physics, this study presents trends in terminology and content. As the defining terms, “global warming” and “climate change” are used nearly equally. However, the first location of a working definition for climate change appears earlier. Energy technologies, climate change, and related environmental issues are found, on average, on ≤4% of textbook pages, and variation is large among individual textbooks. Discipline-based trends exist, especially for the energy technologies presented. Addressed separately as a non-renewable, non-fossil fuel, nuclear energy is found on ≤1% of textbook pages and unfavorably represented. The discussion within these science disciplines has implications on introductory-level education, public perception of science, and informed citizenship.     

Trends in Raindrop Kinetic Energy with Modeled Climate Warming in the Lake Tahoe Basin

Two means by which climate change may increase surface soil erosion in mountainous terrain are: (1) increasing the frequency of extreme rainfall events and (2) decreasing the duration of snow cover on bare soil. We used output from four general circulation models (GCMs) and two greenhouse gas trajectories to produce a suite of hydrologic variables at a daily time‐step for historic and projected 21st Century conditions. We statistically disaggregated the daily rainfall to hourly, using hourly rainfall from a network of nine weather stations in the Tahoe Basin, and filtered out rain falling on a snowpack. We applied published equations to convert hourly intensity to raindrop kinetic energy (KE) for each day and grid cell in the Basin, averaged across grid cells, and created time series of total annual and maximum annual hourly kinetic energy (TKE and MKE) on snow‐free ground. Using the Generalized Extreme Value distribution, we calculated the significance of long‐term trends in KE on snow‐free ground, and estimated energy levels for return periods of 2, 20, and 100 years. We then detrended the snowpack data and compared the resulting trends in KE with the trends resulting from changes in both rainfall energy and snowpack under two GCMs. Principal findings include (1) upward trends in MKE, (2) stronger upward trends in TKE; and (3) an effect of increasing rainfall intensities on KE in some cases, and a strong effect of reduced snowpack in all cases examined.     

中国可再生能源政策演化、效果评估与未来展望

发展可再生能源已成为中国能源转型及减缓气候变化的关键途径。2006年《可再生能源法》实施至今,中国可再生发展取得举世瞩目成绩。然而可再生能源在中国整个能源结构中的占比仍然偏低,其未来可持续发展仍面临挑战,如可再生能源发展资金缺口持续扩大,可再生能源电力消纳仍然面临一定障碍。在未来新的发展背景下,有必要对中国可再生能源政策进行系统的评估和总结,进一步探讨未来可再生能源政策的优化方案。本文首先对中国2005—2019年可再生能源政策的发展历程及演化路径进行总结梳理,基于不同时期的发展特点及面临的主要矛盾将中国可再生能源政策历程划分为四个阶段;然后在综述相关研究基础上,对中国可再生能源政策的实施效果进行评估,包括政策有效性、政策成本、技术进步等。结果表明,中国过去十年的可再生能源政策对促进可再生能源快速发展是积极有效的,而促进可再生能源发展的政策成本仍然有进一步下降的空间;另外,虽然中国可再生能源发电成本下降显著,然而基于历史经验的技术进步率仍然不足以支撑实现中国2020年平价上网的目标,未来需要进一步推动可再生能源技术的进步和发电成本的下降。结合当前及未来中国可再生能源发展所处阶段的特点及面临挑战,我们提出进一步完善中国可再生能源政策以促进可再生能源持续稳定发展的政策建议,一是完善可再生能源绿色电力证书交易制度,增强可再生能源发展的内生激励并降低政策实施成本;二是建立储能技术市场机制,为减少弃电以及推动可再生能源消纳提供政策支持;三是推进碳金融体系建设,为可再生能源发展提供新的融资来源并降低发电成本。     

绿证交易、发售电配额制与可再生能源财税减负效应

为促进清洁能源消纳利用和减轻标杆电价政策财税负担,绿色电力证书(绿证)核发和认购制度已在全国试行。为验证两类政策并存下绿证交易的财税减负作用,该文构建绿证定价和财税减负效应模型,分类探讨不同交易机制和配额安排:绿证自由市场、发售电配额强制市场交易如何影响售证方定价策略和配额主体履约抉择,论证绿证市场均衡和政策互动如何影响可再生能源补助支出、电价附加和绿证交易的税负转嫁效应。模型论证与分类市场情景表明:①绿证交易提供了低成本履约的制度安排,有助于财税减负;②电力市场管制和交叉补贴电价政策下,发电商配额导致火电企业最优履约抉择是自建绿电项目而非绿证交易,绿证市场有价无市;③售电配额的市场交易效率更高,但发电商实施领导跟随-产量最优策略将造成电力和绿证价格双攀升,变相增加电价负担;④并网消纳和补贴拖欠削弱绿证价格而降低补贴转嫁,售电配额调整通过跨区绿电需求变化影响税负转嫁。这些结论蕴含的政策意义是:①兼顾绿电支付意愿、成本分担与应用目标,健全绿证认购市场体系;②理顺绿证定价与惩罚机制,确保绿证市场竞争均衡与履约效率;③完善省级配额机制,引导具备成本优势的跨区绿证交易;④协调政策互动效应,增强绿电溢价和绿证减负效应。     

基于压电传感板的建筑疏散照明技术

在当今世界,电力、能源和安全是人们日常生活的基本要求。为了应对日益增长的能源需求,最终的解决办法是实施可再生能源,然后将其用于人类的安全。可再生能源需要以它们各自正确的方式实施。研究基于压电传感器片的迈步发电装置,并演示了如何利用这些能量实现建筑物疏散照明。我们在传感器的下方和顶部分别固定了木板和可移动网螺栓,利用压电传感器系统,行人可以通过迈步向发电装置施加电能,另外,将硅凝胶粘贴在位于下部木板空洞中的所有传感器顶部。当有人踩到板上时,就会自动施加压力。在木板的顶部和底部设置了一个孔,以便随时调整在底部和顶板之间安装的可移动网螺栓。烟雾传感器用于启动灯光。使用这种设备,我们实现了建筑物疏散路径上的LED灯正常运行。结果表明,这种安全发电的设计和方法具有一定的实用价值,同时也满足了全球对能源的需求。     

初始氧化温度对浸水长焰煤二次氧化特性的影响机制

为揭示不同初始氧化温度下浸水长焰煤的氧化自燃特性,利用红外光谱和热分析实验手段以及MS数值模拟方法研究其氧化自燃规律,并采用线性拟合的方法阐述自由基变化特性。结合分子键能的变化,分析浸水条件下二次氧化的煤氧链式反应过程。研究结果表明:经过120 ℃预氧化后,浸水风干长焰煤的还原性官能团甲基、亚甲基、羟基均高于原煤,而羰基、羧基低于原煤;与原煤相比,浸水风干后的煤预氧化温度在120 ℃时最大升温速率最高（0.036 9 ℃/s）,表现出更强的自燃倾向性;MS模拟优化得出煤中各官能团在预氧化120 ℃时键能变化较大,结合热分析实验,确立预氧化后浸水风干煤体氧化自燃特性机制。     

Prediction of BLEVE mechanical energy by implementation of artificial neural network

In the event of a BLEVE, the overpressure wave can cause important effects over a certain area. Several thermodynamic assumptions have been proposed as the basis for developing methodologies to predict both the mechanical energy associated to such a wave and the peak overpressure. According to a recent comparative analysis, methods based on real gas behavior and adiabatic irreversible expansion assumptions can give a good estimation of this energy. In this communication, the Artificial Neural Network (ANN) approach has been implemented to predict the BLEVE mechanical energy for the case of propane and butane. Temperature and vessel filling degree at failure have been considered as input parameters (plus vessel volume), and the BLEVE blast energy has been estimated as output data by the ANN model. A Bayesian Regularization algorithm was chosen as the three-layer backpropagation training algorithm. Based on the neurons optimization process, the number of neurons at the hidden layer was five in the case of propane and four in the case of butane. The transfer function applied in this layer was a sigmoid, because it had an easy and straightforward differentiation for using in the backpropagation algorithm. For the output layer, the number of neurons had to be one in both cases, and the transfer function was purelin (linear). The model performance has been compared with experimental values, proving that the mechanical energy of a BLEVE explosion can be adequately predicted with the Artificial Neural Network approach.