绿色建筑小区雨水资源化综合利用技术

运用生态学原理设计绿色建筑小区已逐渐成为潮流,节水与水资源利用的问题正日益受到关注。绿色建筑小区雨水资源化综合利用技术集成优化了小区雨水收集与分散处理系统、雨水集中收集与处理系统、雨水渗透系统等技术,具有投资省、处理效果好、管理方便等优点,适合为今后的绿色建筑小区雨水资源化综合利用建设参考。     

加快开发废橡胶能源利用的必要性分析

废橡胶能源利用有各种途径,从环境保护、回收利用难度、处理消耗量等多个方面的分析,可以看出废橡胶能源利用很有必要,我国必须要加快废橡胶能源利用的研究与开发。     

关于呼和浩特市中水回用系统的设想

呼和浩特市地处北方干旱缺水区,而中水回用系统能实现污水资源化,增加可利用的水资源;同时实现生活污水无害化,减少水污染。     

认真贯彻科学发展观全面有效利用黄河水资源

黄河作为包头市工农业生产和人民生活的重要水资源,需要在取水口建立体现科学发展观要求的新的取水模式,本文对黄河包头段的取水口和回排泥沙进行了分析并提出相应的对策。     

Impact of bioenergy crops in a carbon dioxide constrained world: an application of the MiniCAM energy-agriculture and land use model

In the coming century, modern bioenergy crops have the potential to play a crucial role in the global energy mix, especially under policies to reduce carbon dioxide emissions as proposed by many in the international community. Previous studies have not fully addressed many of the dynamic interactions and effects of a policy-induced expansion of bioenergy crop production, particularly on crop yields and human food demand. This study combines an updated agriculture and land use (AgLU) model with a well-developed energy-economic model to provide an analysis of the effects of bioenergy crops on energy, agricultural and land use systems. The results indicate that carbon dioxide mitigation policies can stimulate a large production of bioenergy crops, dependent on the level of the policy. This production of bioenergy crops can lead to several impacts on the agriculture and land use system: decreases in forestland and unmanaged land, decreases in the average yield of food crops, increases in the prices of food crops, and decreases in the level of human demand of calories.

智能供氧系统在污水领域的应用研究

绍兴污水处理厂二期工程采用的是延时曝气工艺,生物氧化池是其核心工艺所在,在实际运行中,生物氧化池中溶解氧的数值波动大,较难实现稳定控制,通常采用滞后调整的控制方式,易造成能耗增加。为合理控制供气量,降低运行成本,利用欧洲的智能供氧技术,在经过小试的基础上,对二期其中一组生物氧化池进行中试,通过对几个月的试验数据进行对比分析,溶解氧控制较为平稳,供风量有所降低,从而实现了安全供氧和经济供氧,推动污水处理厂的精细化操作向纵深化发展。     

Carbon neutral Biggar: calculating the community carbon footprint and renewable energy options for footprint reduction

The objective of this research was to develop a community carbon footprint model that could be used to assess the size and major components of a community’s carbon dioxide (CO₂) emissions. The town of Biggar aims to become Scotland’s first carbon neutral town. As expected for this rural community, car transport accounted for nearly half of the CO₂ emissions, with natural gas and electricity consumption resulting in a further 24% and 12% of total emissions, respectively, and air travel being the last major component at 10% of emissions. An assessment was also made of the wind and solar resources of the town. One large wind turbine would provide the town’s electricity, while three to four turbines would be needed to offset all CO₂ emissions. In contrast, offsetting by tree planting would require in the region of 2,000 ha of trees.

Pre-feasibility study of stand-alone hybrid energy systems for applications in eco-houses

In light of rising cost of fossil fuels and fears of its depletion, coupled with the increase in energy demand and the rise in pollution levels, governments worldwide have had to look at alternative energy resources. Combining renewable energy generation like solar power with superior storage and conversion technology such as hydrogen storage, fuel cells and batteries offers a potential solution for a stand-alone power system. The aim of this paper was to assess the techno-economic feasibility of using a hybrid energy system with hydrogen fuel cell for application in an eco-house that will be built in Sultan Qaboos University, Muscat, Oman. Actual load data for a typical Omani house of a similar size as the eco-house was considered as the stand-alone load with an average energy consumption of 40 kW/day and 5 kW peak power demand. The National Renewable Energy Laboratory's Hybrid Optimisation Model for Electric Renewable software was used as a sizing and optimisation tool for the system. It was found that the total annual electrical energy production is 42,255 kW and the cost of energy for this hybrid system is 0.582 $/kW. During daylight time, when the solar radiation is high, the photovoltaics (PV) panels supplied most of the load requirements. Moreover, during the evening time the fuel cell mainly serves the house with the help of the batteries. The proposed system is capable of providing the required energy to the eco-house during the whole year using only the solar irradiance as the primary source.     

Feasibility analysis of renewable hybrid energy supply options for Masirah Island

In this paper, the assessment and modelling of alternative renewable energy systems for Masirah Island is considered. The hybrid system that is simulated comprises various combinations of wind turbines and/or photovoltaic (PV) supplemented with diesel generators and short-term battery storage. It was found from the analysis that the PV–wind–diesel hybrid system, with battery unit, has the lowest cost values as compared to solar-only or wind–diesel hybrid systems. Furthermore, the study illustrates that for a given hybrid system the presence of battery storage will reduce diesel consumption. The decrease in carbon emission, the percentage of fuel savings, the cost of energy production and the effect of wind and PV penetration are also addressed in this paper. The PV–wind–diesel hybrid option is techno-economically viable for the electrification of the Masirah Island.     

Efficient energy management strategies for hybrid electric vehicles using shuffled frog-leaping algorithm

This paper proposes two novel approaches for the problem of energy management in hybrid electric vehicles. Shuffled frog-leaping algorithm (SFLA) is a recently proposed population-based optimization algorithm. This paper first formulates energy management as an optimization problem and optimizes the problem using SFLA. Then the paper makes use of SFLA as a training algorithm to train artificial neural network (ANN) and this SFLA-trained ANN is used for energy management. Interestingly, the proposed approaches of this paper are found to be robust and more efficient than contemporary approaches.