Renewable energy potential in India and future agenda of research

ABSTRACT

Demand of electrical energy is exponentially increasing causing environmental problems due to extensive use of fossil fuels. Hence, research has been promoted in renewable energy technologies to mitigate environmental pollution. Indian subcontinent is rich in renewable energy sources (RES). This paper describes potential of RES and region-wise installed capacity in India. Estimated potential of RES is 57 GW which is targeted to be 175 GW by 2022. A logical framework for our future research work has been presented. This includes performance optimisation of solar pumping system and reliability assessments of the designed system using reliability indices.

Abbreviation: RES: Renewable energy resources; SHP: small hydro plants; GOI: Government of India; MNRE: Ministry of New and Renewable Energy; LHP: large hydropower; BCM: billion cubic metres; PEC: per-capita energy consumption; JNNSM: Jawaharlal Nehru National Solar Mission; DNI: direct normal irradiance; SPV: solar photovoltaic; UMPP: ultra mega green solar power project; GIS: geographic information systems; WMS: wind monitoring stations; MPWL: Madhya Pradesh windfarms Ltd.; MIB: mat river basin; SWAT: Soil and Water Assessment Tool; ROR: run of river; SMS: short message service; CDM: clean development mechanism; NIOT: national institute of ocean technology; LOLP: loss of load probability; CSO: Central Statistics Office; CEA: Central Electricity Authority; TERI: The Energy and Resources Institute; WPI: Wind Power India; IEA: International Energy Agency; EAI: Energy Alternatives India; BKP: Biomass Knowledge Portal; IRENA: International Renewable Energy Agency; GAIN: Global Agricultural Information Network; NITI: National Institution for Transforming India; NIWE: National Institute of Wind Energy; UP: Uttar Pradesh; J&K: Jammu and Kashmir; HP: Himachal Pradesh; NR: northern region; MP: Madhya Pradesh; WR: western region; TN: Tamil Nadu; AP: Andhra Pradesh; SR: southern region; ER: eastern region; NER: north eastern region; A&N: Andaman & Nicobar     

基于改进辐射模型的乡镇人口流动网络研究

乡镇尺度的人口流动联系和空间结构研究对统筹区域城镇体系规划和产业结构调整具有重要意义.本文以复杂网络理论为研究视角,将空间可达性引入传统辐射模型进行参数修正,构建乡镇人口流动网络;从节点和社团结构以及无标度和小世界特征等方面,探讨在地域差异影响下人口流动的空间分布格局和复杂网络特征,并以荆门市55个乡镇为例进行实证研究.结果表明:①荆门市乡镇人口流动网络的节点度分布以高发展水平乡镇为核心,呈现“一横二纵”的空间分异格局,与荆门市城镇体系和产业布局存在极强的耦合关系;②全网包含四个社团,各社团内部联系紧密且空间结构特征各异,社团间联系相对松散.③受空间距离和地理环境影响,网络的无标度特征不够明显;④网络具有一定的小世界特征,整体联通性和局部集聚性较好.本文通过对传统模型进行方法改进,实现了异质空间下乡镇人口流动联系及分布的可视化表达,实例研究结果可为荆门市城镇规划和产业布局提供决策思路.     

不同行业减排对我国东部地区空气质量及大气温度的影响

未来我国减排政策更加关注对大气污染和大气增温的协同控制效果,但不同行业减排对空气质量改善和大气温度的影响不同.利用双向耦合的空气质量模型WRF-Chem,通过多组敏感性试验量化各部门人为源（工业源、居民源、交通源、火电厂和农业源）减排对2016年9月我国东部地区空气质量和大气温度的影响.结果表明,工业源、居民源、交通源、火电厂和农业源减排均能有效改善空气质量,PM_2.5浓度分别下降33.9%、9.6%、15.8%、10.8%和26.7%,但减弱的气溶胶-辐射相互作用使地表层获得更多能量,进而增加近地面气温0.04、0.03、0.01、0.03和0.09℃.在大气层顶,工业源、居民源、交通源和火电厂减排分别导致净辐射通量下降0.3、0.8、0.7和0.1 W·m^-2;而农业源减排则引起大气层顶净辐射通量增加0.8 W·m^-2.一方面,减排农业源导致散射性气溶胶下降进而引起净辐射增加;另一方面,减排农业源不会导致吸收性气溶胶（黑碳）下降,不能抵消散射性气溶胶下降引起的辐射增加.因此,减排农业源会导致大气层顶净辐射通量增加,同时近地面温度增加也最为显著.未来需要特别关注的是,尽管控制农业源排放会带来显著的空气质量改善,但同时会带来不利的显著增温后果.     

比较FDS和FLUENT在池火灾模拟中的应用

热辐射是池火灾燃烧的主要危害之一,可能导致人员伤亡或设备设施损坏。油罐火灾是典型的池火灾。本文通过对无风情况下油罐火灾火焰形状进行理论模型分析,建立了各自的物理模型和几何模型。应用计算流体动力学软件Fluent和火灾动力学模拟软件FDS,对无风情况下池火灾对周围大气环境的热辐射强度进行模拟,得到了火焰周围入射热流密度分布图,运用软件Statistica拟合得出热辐射强度与距离火焰中心的水平距离的对应关系,分别计算出轻伤半径区域下的最小安全距离。数值模型模拟结果与池火灾经验模型进行比较,发现FDS辐射强度结果与经验模型结果吻合较好。分析了利用这两种模型模拟油罐火灾各自的优点和缺点,最后提出了运用FDS软件模型模拟油罐火灾时的优势。     

电磁辐射测量仪对测量结果的影响分析

目前国内外对环境电磁波的测量仪器主要分为两类,分别是选频式和非选频式。选频式仪器由各类测量接收机或频谱分析仪和接收天线组成,其不适于非周期信号测量。非选频式仪器由各类全向型探头和主机组成,适用于周期和非周期信号的环境电磁波测量,但这类仪器动态范围不高。本文采用了两种不同的测量仪器,分别以单频连续波和调制脉冲为激励信号进行比较分析。结果表明：随着测量信号电平增加,两种仪器测量结果数据趋于一致。而在用两种标准的不同方法计算某一频段的复合场强时,其数值有较大差异。     

多晶硅切割液废液的回收与利用

结合工程实际,介绍了太阳能产业用多晶硅片切割过程中产生的割液废液的处理工艺及回收工艺,并分析了它的投资成本和经济效益。     

电磁辐射污染及防护探索

电子设备、仪器的广泛使用产生的电磁辐射已成为当今的重要污染之一。电磁辐射分为天然和人为两种,严重危害和影响着人类的生活和生产。人们要重视电磁辐射,从行政、科学技术、个人生活方面加强对电磁辐射的防范。     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

1994—2008年河南省植被净第一性生产力及其时空变化

基于地理信息系统和卫星遥感技术,利用地面气象数据、遥感数据和土地分类等数据,根据河南省实际植被覆盖和自然地理情况,应用改进的CASA模型估算了1994—2008年间河南省植被净第一性生产力及其时空变化。结果表明：河南省植被净第一性生产力与年均温度的相关性好于植被年净第一性生产力与年降水量和年均太阳辐射之间的相关性,温度是限制河南省植被净第一性生产力的主要因子;15年来河南省植被净第一性生产力呈增加趋势,但不明显;河南省主要植被类型的净第一性生产力从大到小依次为林地、灌丛、耕地、草地、其它植被,它们随时间的变化趋势极为一致。     

UV-B辐射增强对不同大麦品种生理特性的影响

通过大田试验,研究了UV-B辐射增强对不同生育期3个大麦(Hordeum vulgare)品种光合和蒸腾生理特性的影响。试验设对照(自然光)和辐射增强(辐照强度14.4 kJ.m-2.d-1)2个UV-B辐射水平。结果表明,UV-B辐射增强明显抑制大麦光合作用和蒸腾作用。与对照相比,UV-B辐射增强可降低叶片叶绿素含量、气孔导度、净光合速率和蒸腾速率,但对胞间CO2摩尔分数基本没有影响。不同大麦品种对UV-B辐射增强响应的敏感性存在差异,单2号对UV-B辐射增强较为敏感,而苏啤4号较不敏感。