Analysis of a solar photovoltaic-assisted absorption refrigeration system for domestic air conditioning

Theoretical model of a solar photovoltaic integrated water-Lithium bromide absorption system is presented for domestic air conditioning. Surplus electrical energy from photovoltaic modules is used for charging the battery, which is utilized during the periods of zero or insufficient solar radiation. Minimum solar area required for each month is calculated and October is identified as the month requiring the highest area of photovoltaic arrays for a constant cooling load of 3.5 kW. The integrated system is found to be capable of sufficient amount of surplus electrical energy generation during both summer and winter months, with a daily excess of about 815 Ah of electrical energy on average over a complete calendar year. Designed system is found to be economically viable, having an energy payback period of 2.7 years.     

中国参与2030年可持续发展议程的战略思考

2015年联合国发展峰会通过了“2030年可持续发展议程”,这是一幅由全世界所有国家共同描绘的未来发展蓝图.联合国制定该议程的内在原因有两个,一是为了完成千年发展目标的未竟事业,二是为了汇聚国际社会力量共同应对新的全球性挑战.“2030年可持续发展议程”将重塑当今的全球可持续发展治理体系,为发展中国家深入参与全球可持续发展治理提供了机遇,也有利于全球可持续发展走出“气候变化泥潭”.但是,该议程也存在不足,主要体现在一些可持续发展目标相互重复和难以量化、没有对不同类型国家给出建议、以及里约原则被弱化等.“2030年可持续发展议程”对中国未来发展既是机遇也是挑战.机遇主要体现在有利于中国在可持续发展领域开展对外合作和“一带一路”战略的实施,挑战主要体现在中国将面临来自国际社会的“三重压力”.面向未来,中国应在坚持发展中国家的基本定位下,积极、主动参与相关进程.从对内看,应在该议程框架下根据中国的国情制定“2030年中国可持续发展议程”,并建立有利于产业界、地方政府、民间团体等参与的机制,在实现议程中创造新的经济增长点和就业机会;从对外看,应在坚持“力所能及、互惠互利”原则下,积极开展国际发展合作和发展援助,为其他发展中国家实现该议程做出中国贡献.     

水土匹配、空间效应及区域农业经济增长——基于中国2003-2013的经验分析

水资源和土地资源是非常重要的自然资源,是农业经济发展不可或缺的物质要素。水资源与土地资源的合理匹配能够促进区域的资源优势转化为经济增长,从而促进区域农业经济发展。我国是一个人口众多的农业大国,同时也存在水资源与土地资源短缺的问题。本文结合我国农业水土资源自然禀赋与实际利用情况,首先利用中国2003-2013年的分省数据,选取单位耕地面积的广义农业水资源量测度方法和当量系数描述了我国农业水土资源匹配的现实,发现我国农业水资源与土地资源在空间上匹配程度不高,农业生产受到水土资源约束较强,农业水土资源的形成区域与消耗区域在空间上不相匹配;然后,在邻接权重矩阵下采用Moran’s I指数验证我国区域农业经济增长的空间关联性,结果显示我国各省农业经济增长存在显著的空间关系,呈现出高度的集聚性和非均质性。为避免估计结果有偏,本文在此基础上采用空间计量建模及估计方法,加入农业生产人、财、物等控制变量,测度水土匹配度对区域农业经济增长的空间溢出效应。结果显示,水土匹配度对区域农业经济发展的区域内和区域间的溢出效应都显著为正,总体上水土匹配度对区域农业经济发展具有正向的溢出效应,即水土匹配度对本地区农业经济增长具有促进作用;同时,由于相邻区域的水土资源自然禀赋条件类似,而且农业生产中存在"示范效应"和"模仿效应",水土匹配度对相邻地区农业经济增长也具有一定的促进作用。因此,采取相关措施优化农业水土资源匹配关系,对促进我国区域农业经济增长,保障我国粮食安全非常重要。     

中国二氧化碳的边际减排成本与区域差异研究

测算二氧化碳的边际减排成本有利于评估区域碳减排潜力与成本,也是落实区域碳交易政策的重要依据。在多投入-多产出的生产效率模型框架下,本文采用二次型方向距离函数,研究了全国30个省份2000—2012年期间的碳边际减排成本及其差异的时空演化特征。二次型方向距离函数通过引用时间变量,反应环境治理的中性技术进步,因此研究方法能充分利用参数估计的灵活性。研究结果显示:1二氧化碳的边际减排成本平均约为1 519元/吨,远高于我国碳市场的交易价格,表明当前试点的自愿性碳交易政策是无效的;2区域碳边际减排成本的泰尔指数分解表明,东中西部地区的减排成本存在明显的地区性差异性,且随着时间的推进,碳减排空间逐渐变小。减排成本的地区性差异表明环境规制政策并不能保证各地区碳治理成本的边际均等原则,而利用政策工具,促使碳排放权从治理成本较高的地区转移至成本较低的地区,可以减少总治理成本,实现总量控制目标。本文建议:一方面,为实现国家碳减排的总体宏观目标,各区域要加强合作,相互借鉴成功的碳减排技术与经验等,在执行政策上,应尝试执行区域协同治理机制,努力降低总减排成本;另一方面,各区域在推进产业结构调整、城镇化及能源消费结构替代过程中要遵从循序渐进原则,避免碳减排成本过度波动,增加减排难度。     

Maximum power point tracking methods for photovoltaic systems operating under partially shaded or rapidly variable insolation conditions: a review paper

To increase the efficiency of photovoltaic (PV) systems, maximum power point (MPP) tracking of the solar arrays is needed. Under partially shaded conditions (PSCs), the solar arrays power–current (P–I) characteristic has multiple MPP. This paper presents various methods and approaches of tracking the MPP from a PV generator operating under PSC. Some comparisons, advantages, drawbacks and critical analysis of each method are discussed. It was found that, indirect methods use empirical data or mathematical expressions of numerical approximations to estimate the MPP from the PV generator’s voltage, current and irradiance. Direct methods offer the advantage of obtaining the actual maximum power from the PV generator’s voltage and current. Artificial intelligence methods do not need exact mathematical models. They can perform under parameter variation, load and supply voltage disturbances. Finally, novel methods require less number of iterations to converge, independent to the initial conditions. All these algorithms can be included in some of the DC/DC converters and MPP trackers for stand-alone or grid-connected systems.     

Experimental investigation into different selectively coated receivers and silver-coated selective surface compound parabolic reflector using regression modelling for industrial heating

The paper explores the experimental results of the prototype compound parabolic trough made of mild steel and silver-coated selective surface. This prototype has been tested with top cover. The performance of the collector has been evaluated with two kinds of receivers coated with three types of black coatings. First receiver is of copper coated with black copper, second receiver is of mild steel coated with black copper and third receiver is of copper coated with black zinc. From actual field experiments, it has been observed that the efficiency of the system achieved with copper receiver coated with black copper is comparatively higher than the other two types of receivers. A simple regression analysis is used to correlate the thermal performance parameters of the system.     

土壤环境监测技术规范中的土壤环境质量评价问题

近年来,场地和土壤污染勘查评价与修复逐渐发展成为环境科学和土木工程领域的热点,场地和土壤修复业务随之愈来愈多。但土壤修复理论和技术发展相对缓慢,无法满足土壤修复行业发展的需要。实践中,在场地和土壤污染勘查与评价的现行标准中,对土壤环境质量评价仅考虑了土壤中某物质成分的人为超标问题,而忽视了土壤中自然异常而导致土壤中某物质成分超标问题的评价,且误将土壤中某物质成分的超标等级定为土壤污染程度等级的全部。针对这些问题,本文通过研究,在深入分析各领域土壤污染评价差异的基础上,提出了土壤污染评价的一般过程、方法和标准,供标准修订参考。     

Identifying the roots of Green Civil War over utility-scale solar energy projects on public lands across the American Southwest

Utility-scale solar energy (USSE) development is an emerging cause of land use change across the American Southwest. Many proposed projects in the region have encountered resistance from environmental groups because of concern about endangered, threatened, and special status species. Projects have also faced resistance from impacted local communities and Native American tribes. This research documents land use conflicts that surfaced during the initial wave of USSE development from 2009 to 2015. The goal is to identify potential roots of land use conflict over renewable energy development, to help explain why there is consistent support for renewables in general, but widespread opposition to projects during the proposal and development stages. The primary data presented include public comments to formal rule-making processes, semi-structured interviews conducted from 2009 to 2013, and various media sources. The paper concludes describing emerging planning frameworks that identify sites for USSE with fewer land use conflicts.     

CFD analysis on the performance of a solar chimney power plant system: Case study in Algeria

The solar chimney power plant (SCPP) is a power generator which uses solar radiation to increase the internal energy of the air circulating in the system, thereby transforming the useful gain of the solar collector into kinetic energy. The produced kinetic energy then can be converted into electrical energy by means of an appropriate turbine. In this paper, four locations in Algeria

(Constantine, Ouargla, Adrar, and Tamanrasset) were considered as case studies to describe the SCPP mechanism in detail. Numerical simulation of an SCPP which has the same geometrical dimensions was performed to estimate the power output of SCPP in these regions. Using the CFD software FLUENT we simulated a two-dimensional axisymmetric model of a SCPP with the standard k-ε turbulence model. The simulation results show that the highest power output produced monthly average value 68–73 KW over the year and the highest hourly power produced in June is around 109–113 KW.     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.