Eco-efficiency in Portuguese companies of marble sector

The activities developed within an eco-efficiency project in mineral industries located in the largest area for marble extraction in Portugal, in Alentejo region, in the Estremoz – Borba and Vila Viçosa anticline are presented in this paper. The project was designed to apply the sustainability concept in seven companies of marble extraction and transformation. The adopted strategy used new cleaner production models together with sustainable value (SV) improvement, leading to the rationalization of the industrial process, the involvement of economic agents and the orientation of the management of production processes towards eco-efficiency. The challenge was to have the mineral industry managing efficiently the resources on which the business depends, according to sustainability principles. Different opportunities for improvement, related to the minimization of materials, water and energy use, were identified in the companies. Some proposals mainly related to social improvement and small and medium-sized enterprise competitiveness benefits were also selected and discussed. This approach allows the integration of sustainability at company's and region's levels by combining in the entrepreneurial activity the creation of wealth together with the environment protection and the achieving of social benefits. Highlights: The involvement of different stakeholders in the project (Eco-efficiency in Portuguese companies of marble sector) was positive in the discussion and search of solutions for companies. It is possible to involve marble extraction and processing companies in eco-efficiency improvement towards sustainability. Companies from the marble sector improved environmental and social performance and reduced the costs of their production processes by applying SV methodology.     

Comparative study on performances of a heat-pipe PV/T system and a heat-pipe solar water heating system

The heat-pipe solar water heating (HP-SWH) system and the heat-pipe photovoltaic/thermal (HP-PV/T) system are two practical solar systems, both of which use heat pipes to transfer heat. By selecting appropriate working fluid of the heat-pipes, these systems can be used in the cold region without being frozen. However, performances of these two solar systems are different because the HP-PV/T system can simultaneously provide electricity and heat, whereas the HP-SWH system provides heat only. In order to understand these two systems, this work presents a mathematical model for each system to study their one-day and annual performances. One-day simulation results showed that the HP-SWH system obtained more thermal energy and total energy than the HP-PV/T system while the HP-PV/T system achieved higher exergy efficiency than the HP-SWH system. Annual simulation results indicated that the HP-SWH system can heat the water to the available temperature (45°C) solely by solar energy for more than 121 days per year in typical climate regions of China, Hong Kong, Lhasa, and Beijing, while the HP-PV/T system can only work for not more than 102 days. The HP-PV/T system, however, can provide an additional electricity output of 73.019 kWh/m², 129.472 kWh/m², and 90.309 kWh/m² per unit collector area in the three regions, respectively.     

A real-time simulating non-isothermal mathematical model for the passive feed direct methanol fuel cell

In order to understand the complex transport phenomena in a passive direct methanol fuel cell (DMFC), a theoretical model is essential. The analytical model provides a computationally efficient framework with a clear physical meaning. For this, a non-isothermal, analytical model for the passive DMFC has been developed in this study. The model considers the coupled heat and mass transport along with electrochemical reactions. The model is successfully validated with the experimental data. The model accurately describes the various species transport phenomena including methanol crossover and water crossover, heat transport phenomena, and efficiencies related to the passive DMFC. It suggests that the maximum real efficiency can be achieved by running the cell at low methanol feed concentration and moderate current density. The model also accurately predicts the effect of various operating and geometrical parameters on the cell performance such as methanol feed concentration, surrounding temperature, and polymer electrolyte membrane thickness. The model predictions are in accordance with the findings of the other researchers. The model is rapidly implementable and can be used in real-time simulation and control of the passive DMFC. This comprehensive model can be used for diagnostic purpose as well.     

The determination and matching analysis of pinch point temperature difference in evaporator and condenser of organic rankine cycle for mixed working fluid

Exergo-economic analysis of the pinch point temperature difference (PPTD) in both evaporator and condenser of sub-critical organic Rankine cycle system (ORCs) are performed based on the first and second laws of thermodynamics. Taking mixture R13I1/R601a as a working fluid and the annual total cost per net output power Z as exergo-economic performance evaluation criterion, the effects of PPTD in evaporator ΔT_e, and the PPTD ratio of condenser to evaporator y, on the exergo-economic performance of ORCs are analyzed. Moreover, how some other parameters influence the optimal PPTD in evaporator ΔT_e,opt and the optimal PPTD ratio of condenser to evaporator y_opt are also discussed. It has been found that the exergo-economic performance of ORCs is remarkably influenced by ΔT_e and y, and there exists ΔT_e,opt and y_opt. In addition, ΔT_e,opt and y_opt are affected by heat transfer coefficient ratio of condenser to evaporator ß, the temperature of working fluid at dew point in condenser T_1a, and composition of R13I1/R601a: larger ß and T_1a lead to lower ΔT_e,opt and y_opt; by contraries, larger mass fraction of R13I1 makes ΔT_e,opt and y_opt increase, and y_opt increases linearly. The effects of the temperature of working fluid at bubble point in evaporator T_3a, mass flow rate of exhaust flue gas m_g, and inlet temperature of exhaust flue gas T_gi on ΔT_e,opt and y_opt are very slight. For comparison, three additional working fluids, namely R601a, R245fa, and 0.32R245fa/0.68R601a, are also taken into account.     

Experimental investigation of a 250-kW turbine organic Rankine cycle system for low-grade waste heat recovery

An organic Rankine cycle (ORC) is generally used for converting low-grade heat into electricity. In this study, an extensive literature survey was conducted to identify current research gaps on experimental ORC systems. Specifically, there is limited experimental data and limited details on thermal and expander efficiencies of ORC systems. In order to address these gaps, the objective of this study included developing a turbine ORC with a power output exceeding 50 kW and thermal efficiency exceeding 8% for a heat source temperature < 120°C. The experimental results indicated that the system achieved a net power output of 242.5 kW and a thermal efficiency of 8.3% (the highest value for a turbine ORC system for the heat source temperature below 120°C). Thus, the study addressed the gaps identified in the research area of ORCs.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

煤炭资源耗减价值及其“利益共享、风险共担”补偿机制研究

煤炭行业清费建税,资源税从价计征引起了社会各界对资源税费制度改革的热议,而资源耗减价值是资源税费制度改革的重要依据之一。将资源回采率纳入使用者成本模型,科学计量了我国2000-2011年间煤炭资源的耗减价值。分析表明:2000-2011年间,4%折现率下煤炭资源耗减价值增加了22倍之多,而资源税费却仅仅增长了7倍,煤炭资源耗减价值与资源税费实际征收额之间存在有巨大缺口得不到补偿;国家资源所有者权益的实现度与煤炭经济形势呈逆向分布,煤炭工业利润率的上升并没有带来国家资源所有者权益的增加,导致这种错位的原因与我国不合理的资源税收机制有很大关系;资源税税率的理论区间为1.11%-8.85%,与国家规定的2%-10%高度重合,从而说明国家决策的合理性。为使资源所有者权益的实现度与煤炭工业经济形势相"挂钩",以资源税收入等于资源耗减价值为切入点,对资源所有者权益的实现度进行数理分析,求得了资源税税率与当期资源价格的关系,发现固定税率的资源税难以适应市场波动,于是提出"资源税+利润税"的组合税收工具,确定了利润税的起征点,计算得出了资源税和利润税的税率组合。该组合税制在一定程度上能够平抑经济周期对煤炭工业造成的影响,同时又维护国家资源所有者权益,从而实现国家与煤炭工业"利益共享、风险共担"。     

基于GEV干旱指数和DFA方法的苏北地区季节性干旱研究

为分析近年来江苏省苏北地区季节性干旱灾害特征,利用苏北五市1989~2013年的逐月降水量资料,建立月降水量的广义极值分布函数,通过分析广义极值干旱指数(GEVI),研究苏北五市近25a的季节性干旱分布和干旱等级的时空变化特点。在此基础上,利用去趋势波动分析方法(DFA)对苏北五市月平均降水量的周期性规律进行研究。结果表明,苏北五市的月降水量均服从广义极值Fréchet概率分布,且具有从西北(徐州)地区向东南沿海(盐城)地区递增的空间分布特征,整体上属于干旱灾害频发的地区,且以轻旱为主且季节性特征明显。苏北五市的月降水量存在幂律相关性,即降水量具有较强的正长程相关性,因此,未来苏北地区干旱的总体趋势将与过去特征正相关。     

土地利用生态服务价值指标体系评估结果比较研究

生态系统服务价值评估越来越受到学术界关注。针对当前生态服务价值评估方法、指标体系和评估效果较多的实践,通过文献归纳,对国内外土地利用生态服务价值评价方法、指标体系及其系数进行了梳理、分类和评价,将指标体系分为Costanza和谢高地两大类,并将谢高地指标体系分为价值当量、价值系数和区域修正。以辽宁省2005、2010年土地利用数据为案例,运用Costanza价值系数、谢高地两个版本价值当量、两个版本价值系数的区域修正,分别核算了案例区生态系统服务价值及变化,并比较评价结果。研究得出Costanza价值系数应用于中国实践时评估结果显得偏低,谢高地2002版的价值当量和2002版的价值系数区域修正结果最接近平均值,相对较为可取,2007版的价值系数区域修正评估结果也较为接近均值但略低,2007版的价值当量评估结果总体偏高。研究结果有利于指导土地利用生态服务价值评估指标体系选取。     

近60a长三角地区极端高温事件变化特征及其对城市化的响应

基于长三角地区1951~2014年56个国家级气象站点逐日气温记录资料,通过计算极端高温事件相关指标(极端最高温TXx,极端最低温TNn,高温日数Htd和低温日数Ltd),利用GIS空间分析技术和Mann-Kendall时间趋势分析方法分析了长三角地区近60 a极端高温事件的空间分异特征和时间变化趋势,并探讨了城市化发展对区域极端高温事件时空变异的影响。结果表明:(1)长三角地区极端高温事件指标均表现为一定的上升趋势,极端低温指标(TNn和Ltd)线性变化趋势比极端高温指标(TXx和Htd)更为显著,变化趋势最显著的地区集中在经济和城市化水平较高的城市及周边地区(如上海、杭州等)。(2)极端高温指标(TXx和Htd)多年平均总体表现为南高北低,西高东低的趋势,而极端低温指标中TNn多年平均为由中部向南北两侧降低,Ltd多年平均呈现自中部向南北南侧增多的趋势。(3)从1990~2000到2000~2010年,城市化对极端高温事件的影响增强,快速城市化对北部城市极端高温事件的影响高于南部城市。