Objectively best or most acceptable? Expert and lay knowledge in Swedish wind power permit processes

This article analyses legal aspects of the Swedish wind power development, theoretically based on how different types of knowledge are represented in legal contexts, mainly in the courts. A sample of appealed wind power permits is analysed, a handful of relevant informants are interviewed – including two judges in the Land and Environment Court and the appeal court – and the legal setting is analysed. Of key interest here is the interplay between expert and lay statements in the court cases, which here is related to the concepts of calculating and communicative rationalities that are developed in the planning literature. The results indicate that the juridification – which takes place as a permit issue is appealed in the judiciary system – supports the calculating rationality more than the communicative, and that the plaintiffs often attempt to adapt in how they shape their argumentation.     

Cooling of multichip light emitting diode with ultra-high power—An application of bypass cooling from an air-conditioning system

This study focuses on the use of indium gallium nitride multichip for ultra-high power light emitting diode (LED) heat transfer and thermal cooling analysis. This research approach is based on the multichip LED experimental study of aluminum extrusion heat sink and air-conditioning system-forced cooling approach. An investigation of heat transfer characteristics of the phenomenon of variation is conducted to improve performance and develop an LED system that can become a reference guideline for thermal design and assembly. This study’s package structure can use silicon substrate material and fill copper material to increase thermal conduction. An air-conditioning system bypass cooling approach is also used. This study aims to help to increase LED thermal cooling, long life, reliability, and reduce the optic lumen decay phenomenon in the future. Results are based on different power ratings that can be used to redefine LED classifications.     

Shift to continuous operation of an air-cathode microbial fuel cell long-running in fed-batch mode boosts power generation

Microbial fuel cells (MFCs) which are operated in continuous mode are more suitable for practical applications than fed batch ones. The aim of the present study was to characterize an air-cathode MFC operating in continuous mode and to determine the intrinsic properties for suitable performance and scalability. Air-cathode MFCs were constructed from plexiglass with a total working volume of 220 mL. Zirfon® separator used in this MFC had cross section area of 100 cm². The air cathode MFCs were operated in fed-batch mode and then shifted to the continuous mode. To determine the behavior of anode and cathode in long term operation (274 days), their contribution in MFC performance was evaluated over time. Once the active biofilm was formed, power production and substrate consumption rate were significantly higher. The internal resistance increased with the passage of time. After stabilization of biofilm when the MFC was placed in close circuit by connecting an external resistance, the anode-reference and cathode-reference electrode behavior showed that anode potential is near to the bacterial cell inside potential. The maximum open circuit voltage achieved was 623 mV and the highest power and volumetric power density were 38.03 mW/m² and 1296 mW/m³, respectively.     

Artificial neural network based maximum power point tracking controller for photovoltaic standalone system

This article presents a two-stage maximum power point tracking (MPPT) controller using artificial neural network (ANN) for photovoltaic (PV) standalone system, under varying weather conditions of solar irradiation and module temperature. At the first-stage, the ANN algorithm locates the maximum power point (MPP) associated to solar irradiation and module temperature. Then, a simple controller at the second-step, by changing the duty cycle of a DC–DC boost converter, tracks the MPP. In this method, in addition to experimental data collection for training the ANN, a circuit is designed in MATLAB-Simulink to acquire data for whole ranges of weather condition. The whole system is simulated in Simulink. Simulation results show small transient response time, and low power oscillation in steady-state. Furthermore, dynamic response verifies that this method is very fast and precise at tracking the MPP under rapidly changing irradiation, and has very low power oscillation under slowly changing irradiation. Experimental results are provided to verify the simulation results as well.     

Optimization of grid tied hybrid power system in smart premises

Tapping of renewable energy sources like solar and wind is given great priority by power producers all over the world. Technical problems of linking them to the grid are solved. The cost constraints of utilizing renewable energy at specific locations are to be determined. In this work, a model is developed for grid tied hybrid power system (HPS) consisting of photovoltaic (PV) module and wind mill at the roof top of smart premises. The grid is capable of delivering and receiving energy. Objective function is formed with constraints taking into account the cost of PV module, wind mill, and grid tied inverter with controller. The constraints are rating of HPS and energy that can be delivered to the grid. Using this model, case studies were conducted in three locations in India, each location having two different demands. The results are presented. With the optimal rating of HPS, results shows that, conventional energy cost is higher.     

Effect of culture time on the growth curve and power performance in a microbial fuel cell at a fixed amount of liquid culture

The microbial fuel cell uses the microorganism biochemistry to carry on the energy conversion. Concerning the experimental precision, the colony culture would be replaced by a fixed amount of liquid culture for Microbial fuel cell of Escherichia coli. The anode and cathode chambers whose each volume is 100 mL were utilized, the effective surface area of proton exchange membrane Nafion-117 is about 9 cm². In addition, the electrode area of carbon cloth is 20 cm². Three kinds of Escherichia coli, named as BCRC No. 10322, 10675 and 51534, respectively, would be selected. Results show that the electricity performance of Escherichia coli of BCRC No.51534 is better than the other microorganism studied because of having a larger open circuit voltage of 1.01 V and limiting current 22 mA, the maximum power density of 1342 mW/m^2, and average working power density of 295 mW/m² would be produced. These results would be useful to improve the performance of microbial fuel cell.     

The indecisive role of the market in China’s SO2 and COD emissions trading

Governmental intervention is essential to combat environmental pollution, a phenomenon classically explained as market failure, while market-based environmental policy instruments have provided cost-effective alternatives. By examining five pilot air pollution (sulfur dioxide) and water pollution (chemical oxygen demand) trading schemes in China through a market-based theoretical framework and extensive empirical analysis, this research analyzes where a state-market boundary is defined, whether the market is performing effectively, and, critically, what leads to underperformance. Constrained by policy design, policy conflicts, and excessive state intervention, the market has not played an effective and ‘decisive’ role, resulting in low market thickness for participants and transactions, market congestion on prices, and inadequate market safety for genuine emissions trading. Better emissions trading for conventional pollutants and CO₂ requires better market-oriented rules, improved policy coordination, and stronger implementation while minimizing state intervention.     

中国天然气价格管制的碳排放及经济影响——基于非完全竞争CGE模型的模拟研究

中国天然气产业的最大特点是垄断程度较强,政府对天然气产业的各个环节均存在价格管制。鉴于此,本文通过构建CGE模型以期全面量化分析政府对天然气产业价格管制政策变动产生的影响,从而为政府制定决策提供可供借鉴的依据。与以往的研究不同,本文构建的静态CGE模型,不仅刻画了天然气产业非完全竞争的市场结构还刻画了政府对天然气产业的价格管制行为。运用该模型,本文分别从消费侧以及供应侧的角度模拟了政府对天然气产业价格管制政策变动对我国碳排放及经济的影响,并且从经济结构以及能源消费结构的角度进一步分析了天然气价格管制政策变动的二氧化碳排放机制。模拟结果表明:1消费侧价格管制。提高天然气价格能够通过产业结构调整以及能源消费结构调整降低经济主体对天然气的消费进而降低二氧化碳的排放,同时由于天然气市场规模的缩小导致天然气产业的超额利润率有所下降。提高天然气价格提高了居民消费价格指数(CPI),降低了实际GDP以及居民福利水平。降低天然气价格对二氧化碳排放的影响、传导机制以及经济影响与提高天然气价格产生的影响类似,但是作用效果基本上相反。2供应侧价格管制。取消天然气供应侧价格管制能够通过优化要素配置促进实际GDP的增长、居民福利水平的改善并且降低居民消费价格指数(CPI),在收入效应的作用下不仅提高了经济主体对天然气的消费还提高了对能源总量的消费,从而增加了二氧化碳排放,同时由于天然气市场规模的扩大促进了天然气产业超额利润率的增长。因此,应该逐渐建立完善的天然气价格管理体制,确保天然气资源的有效利用;对天然气产业超额利润率进行管控,避免产生较大的负面收入分配效应;逐步取消天然气供应侧的价格管制,打破行政垄断,引入市场竞争机制,推动天然气产业的市场化进程。     

房地产市场促进城镇化建设的作用机理与协调发展研究

新型城镇化建设是中共十八大提出的重要发展目标,其建设水平直接关乎我国经济发展方式转变路径,房地产市场作为国民经济运行的重要组成部分,其市场化程度对于城镇化建设至关重要,因此,如何实现房地产市场与城镇化建设的同步和协调发展是当前中国经济社会发展亟需解决的现实问题。本文基于理论模型和经验分析,从系统分析入手,通过综合指标建立"房地产市场—城镇化建设水平"系统(系统Ⅰ:房地产市场;系统Ⅱ:城镇化建设水平),运用熵值法进行评价指标权值的求取,进而运用耦合协调度模型,重点分析不同等级城市两个系统的运行成效、耦合阶段和协调趋势,以期强化政策制定的针对性和现实性。研究表明:1房地产销售价格、预期与信贷和人口流动是房地产市场作用于城镇化建设的主要渠道;2系统Ⅰ—房地产市场,序参量的空间规律表现为:三线城市二线城市一线城市;系统Ⅱ—城镇化建设水平,序参量的空间规律表现为:一线城市二线城市三线城市;3我国现阶段房地产市场和城镇化建设水平的耦合度还处于较低水平,且地区差异较大,耦合程度从大到小依次表现为:二线城市三线城市一线城市;从协调度来看,整体表现为中度协调,但应注意北京市已表现为低度协调状态。最后本文提出了相应的政策建议:首先要限制一线城市"以速度为纲"的城镇化发展思路;二是依靠房价、信贷和户籍等政策约束引导新型城镇化建设,有效控制一线城市的体量;三是放宽中小城市和城镇户籍限制,鼓励符合条件的农业转移人口逐步在城镇落户,注重提升三线城市的城镇化发展质量。     

新能源汽车需求市场培育的政策取向:供给侧抑或需求侧

政策支持是促进新能源汽车消费市场等商业化条件成熟的重要手段。近年来,中央和一些地方政府在新能源汽车需求市场培育的"供给侧"和"需求侧"都先后出台了相应的市场培育政策。"供给侧"和"需求侧"的政策功能与效果不完全相同,地方政府在选择和应用新能源汽车需求培育政策时面临着诸多困惑。论文尝试将基尼系数分解法引入到新能源汽车需求市场"供给侧"和"需求侧"政策实施效果的区域差异分析中,分析了我国培育新能源汽车消费市场培养"供给侧"和"需求侧"政策取向的分布情况以及现阶段政策取向所面临的困惑,应用我国新能源汽车试点推广城市数据开展了实证研究。结果表明,"供给侧"政策着力于改善新能源汽车消费市场供给体系的质量和效率,为需求市场持续发展提供驱动力量;"需求侧"政策着力于激发新能源汽车消费的积极性和购买能力,为需求市场持续发展提供拉动力量。"供给侧"和"需求侧"政策在不同收入水平区域试点城市中的实施效果存在差异,高收入区域试点城市"供给侧"和"需求侧"政策都有着明显效果,但是"供给侧"政策效果更为显著;中等收入区域试点城市"需求侧"政策效果十分显著,"供给侧"政策效果相对较弱;收入稍低区域试点城市则以"供给侧"政策效果更为显著,"需求侧"政策效果相对较弱。我国新能源汽车市场培育在"供给侧"和"需求侧"政策取向上应因地制宜,各有侧重点。