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.     

Sustainable energy generation using hybrid energy system for remote hilly rural area in India

Hybrid energy systems are renewable energy system combined in a complementary fashion to ensure dependable power supply at competitive cost. Diesel generators (DGs) are also added here as a back-up source of supply. For remote areas far from a transmission grid, these systems can provide a reliable and cost-effective supply. Addition of DG could instigate environmental pollution in such remote unpolluted areas. In the present work, optimal sizing of hybrid energy system has been attempted for a remote village cluster of Uttarakhand (India) to make available desired power supply at minimum environmental effluence. Hybrid Optimization Model for Electrical Renewable (HOMER) software from National Renewable Energy Laboratory, USA has been employed to attain the objective. The software offered several feasible systems, ranked on the basis of net present cost (NPC). All such systems are further analysed for emissions they have made in the environment. Hence, the optimal system fulfilling the criteria of minimal environmental degradation with sufficiently minimum NPC has been searched for. In the present work, the most appropriate system offered on the basis of NPC is the one which has five wind turbines (10 kW each), one DG (65 kW) and 25 batteries (6 V, 6.94 kW h each). The NPC of the system is $1,252,018, whereas its initial capital cost and levelised cost of energy (COE) are $94,233 and $0.292/kW h, respectively. After further analysis of all the feasible systems on the basis of environmental effluence, the most feasible system explored is the one which has minimal emissions of various pollutants such as carbon dioxide, carbon monoxide, hydrocarbon, particulate matter, sulphur dioxide and nitrous oxide. The system has been obtained on a compromised NPC of $1,270,921 with a capital cost of $148,133 and COE of $0.296/kW h. Components of the system include five wind turbines (10 kW), a 9 kW PV panel and a 65 kW DG along with 30 batteries (6 V, 6.94 kW h each). The system so obtained would prove to be a feasible, optimally sized and sustainable power supply alternative for remote unelectrified hilly rural area.     

Optimum design and evaluation of hybrid solar/wind/diesel power system for Masirah Island

This paper addresses the requirements of electrical energy for an isolated island of Masirah in Oman. The paper studied the possibility of using sources of renewable energy in combination with current diesel power plant on the island to meet the electrical load demand. There are two renewable energy sources used in this study, solar and wind energy. This study aimed to design and evaluate hybrid solar/wind/diesel/battery system in terms of cost and pollution. By using HOMER software, many simulation analyses have been proposed to find and optimize different technologies that contain wind turbine, solar photovoltaic, and diesel in combination with storage batteries for electrical generation. Four different hybrid power systems were proposed, diesel generators only, wind/diesel/battery, PV/diesel/battery, and PV/wind/diesel/battery. The analysis of the results shows that around 75 % could reduce the cost of energy by using PV/wind/diesel hybrid power system. Also, the greenhouse emission could be reduced by around 25 % compared with these by using diesel generators system that currently utilize in the Masirah Island. The solar/wind/diesel hybrid system is techno-economically viable for Masirah Island.     

The effect of wind turbine noise on sleep and quality of life: A systematic review and meta-analysis of observational studies

Noise generated by wind turbines has been reported to affect sleep and quality of life (QOL), but the relationship is unclear. Our objective was to explore the association between wind turbine noise, sleep disturbance and quality of life, using data from published observational studies. We searched Medline, Embase, Global Health and Google Scholar databases. No language restrictions were imposed. Hand searches of bibliography of retrieved full texts were also conducted. The reporting quality of included studies was assessed using the STROBE guidelines. Two reviewers independently determined the eligibility of studies, assessed the quality of included studies, and extracted the data. We included eight studies with a total of 2433 participants. All studies were cross-sectional, and the overall reporting quality was moderate. Meta-analysis of six studies (n = 2364) revealed that the odds of being annoyed is significantly increased by wind turbine noise (OR: 4.08; 95% CI: 2.37 to 7.04; p < 0.00001). The odds of sleep disturbance was also significantly increased with greater exposure to wind turbine noise (OR: 2.94; 95% CI: 1.98 to 4.37; p < 0.00001). Four studies reported that wind turbine noise significantly interfered with QOL. Further, visual perception of wind turbine generators was associated with greater frequency of reported negative health effects. In conclusion, there is some evidence that exposure to wind turbine noise is associated with increased odds of annoyance and sleep problems. Individual attitudes could influence the type of response to noise from wind turbines. Experimental and observational studies investigating the relationship between wind turbine noise and health are warranted.     

Economic feasibility of autonomous hybrid wind–diesel power systems for residential loads in hot regions: a step to mitigate the implications of fossil fuel depletion

Today, energy occupies a pivotal position around which all socio-economic activities revolve. No energy means no life, and supply of energy in a cheap, plentiful, long-sustainable and environmentally safe form is a boon for everyone. In the light of rising cost of oil and fears of its exhaustion coupled with increased pollution, the governments worldwide are deliberating and making huge strides to promote renewable energy sources such as wind. Integration of wind machines with the diesel plants is pursued widely to reduce dependence on fossil-fuel-produced energy and to reduce the release of carbon gases that cause global climate change. The literature indicates that commercial/residential buildings in the Kingdom of Saudi Arabia (KSA) consume an estimated 10–40% of the total electric energy generated. The aim of this study is to analyse wind-speed data of Dhahran (East-Coast, KSA) to assess the economic feasibility of utilising autonomous hybrid wind–diesel power systems to meet the electrical load of 100 typical residential buildings (with annual electrical energy demand of 3512 MWh). The monthly average wind speeds range from 3.3 to 5.6 m/s. The hybrid systems simulated consist of different combinations of 600 kW commercial wind machines supplemented with diesel generators. The National Renewable Energy Laboratory's hybrid optimisation model for electric renewables software was employed to perform the techno-economic analysis.

The simulation results indicate that for a hybrid system comprising 600 kW wind capacity together with a 1.0 MW diesel system (two 500 kW units), the wind penetration (at 50 m hub-height, with 0% annual capacity shortage) is 26%. The cost of generating energy (COE, $/kWh) from this hybrid wind–diesel system was found to be 0.070 $/kWh (assuming diesel fuel price of 0.1 $/l). The study exhibits that for a given hybrid configuration, the number of operational hours of diesel generator sets (gensets) decreases with an increase in the wind-farm capacity. Concurrently, emphasis has also been placed on wind penetration, un-met load, effect of hub-height on energy production and COE, excess electricity generation, percentage fuel savings and reduction in carbon emissions (relative to diesel-only situation) of different hybrid systems, cost breakdown of wind–diesel systems, COE of different hybrid systems, etc.     

Levellised electricity cost for wind and PV–diesel hybrid system in Oman at selected sites

Solar and wind energy data available for Oman indicate that these two resources are likely to play an important role in the future energy generation in this country. In this paper, a model is designed to assess wind and solar power cost per kWh of energy produced using different sizes of wind machines and photovoltaic (PV) panels at two sites in Oman, which then can be generalised for other locations in Oman. Hourly values of wind speed and solar radiation recorded for several years are used for these locations. The wind profiles from Thumrait and Masirah island are modelled using the Weibull distribution. The cost of wind-based energy is calculated for both locations using different sizes of turbines. Furthermore, this paper presents a study carried out to investigate the economics of using PV only and PV with battery as an energy fuel saver in two villages. The results show that the PV energy utilisation is an attractive option with an energy cost of the selected PV ranges between 0.128 and 0.144 $/kWh at 7.55% discount rate compared to an operating cost of 0.128–0.558 $\kWh for diesel generation, considering the capital cost of diesel units as sunk.     

Power management for hybrid distributed generation systems

The design of a new power management tool able to manage the power flow from different renewable energy sources is proposed in this paper. PV and wind are the primary power sources for the system, and a fuel cell with electrolyser and batteries are used as reserve. The designed controller purpose is to manage power flows among the different energy systems and to assure a continuous supply of load. Modelling and simulation of the various energy sources of distributed generation (DG) systems including wind turbine (WT), fuel cell-electrolyser (FC), photovoltaic (PV) and battery are developed. The coordination controller is designed based on the criteria of providing the load demand and the excess power is used either to produce hydrogen through electrolyser for the FC or to store it in battery. Simulation is carried out in MATLAB/Simulink environment and the results show satisfactory performance of the coordination scheme to satisfy the load requirements.     

Exploitation of renewable energy resources for environment‐friendly sustainable development in Saudi Arabia

The recent increase in energy costs, driven by a surge in oil prices, has increased world‐wide efforts on the exploitation of renewable/wind energy resources for environment‐friendly sustainable development and to mitigate future energy challenges. Moreover, experience in the wind energy industry has reached high levels in the field of manufacturing and application. This inevitably increases the merits of wind energy exploitation. In order to exploit wind resources, through the establishment of wind power plants, specific attention must be focused on the characteristics of wind and wind machines. The literature indicates that wind‐energy resources are relatively better along coastlines. In the present study, long‐term hourly mean wind speed data for the period 1986–2003, recorded at Dhahran (Eastern Coastal region, Saudi Arabia), has been analysed to examine the wind characteristics including (but not limited to): yearly/monthly/diurnal variations of wind speed, frequency distribution of wind speed, impact of hub‐height/machine‐size on energy production, etc. Data have been checked/validated for completeness. Data analysis indicated that long‐term monthly average wind speeds ranged from 3.8 to 5.8 m/s.

Concurrently, the study determined monthly average daily energy generation from different sizes of commercial wind machines (150, 250, 600 kW, etc.) to assess the impact of wind machine size on energy yield. The study also estimated annual energy production (MWh/year) from wind farms of different capacities (3, 6, 12, 24 MW, etc.) by utilising different commercial wind energy conversion systems (WECS). It was observed that, for a given 6 MW wind farm size, a cluster of 150 kW wind machines (at 50 m hub‐height) yielded about 32% more energy when compared to a cluster of 600 kW wind machines. The study also estimated the cost of wind‐based electricity (COE, US$/kWh) by using different capacities of commercial WECS. It was found that the COE per kWh is 0.045 US$/kWh for 150 kW wind machine (at 50 m hub‐height) whereas COE was 0.039 US$/kWh for 600 kW wind machine (at 50 m hub‐height). The study also dealt with wind turbine characteristics (such as capacity factor and availability factor). These characteristics are important indicators of wind turbine performance evaluation.     

Overcoming latecomer disadvantage through learning processes: Taiwan’s venture into wind power development

Research into national innovation systems (NISs) has received extensive academic and policy attention, and is especially relevant with latecomer countries seeking to innovate in challenging industrial environments. In playing catch up with their early industrializing counterparts, methods of learning take on increased importance in determining industrial success for latecomers. The wind turbine technology innovation system is one that is highly dependent on both the extent of the national learning processes and the strength of the national social-institutional setting. This research investigates the case of Taiwan, a country which has embarked on a program to build its national innovative capacity in wind turbine technologies with specific emphasis on Taiwan’s social sector. Within this system, the spotlight will be on four types of learning processes that interplay during wind turbine development: learning by searching, learning by doing, learning by using, and learning by interacting. Through a case study of the emergence of Taiwan’s burgeoning large-scale wind power technology initiatives, the paper aims to add to the understanding on how methods of learning impact upon the success of innovation systems. The findings show that the industry’s future prospects are constrained because of the limited learning by interacting processes between turbine component producers, turbine owners, and researchers and because of weaknesses in the institutional framework. This research also recognizes the importance that culture has on dominant forms of learning.     

Renewable energy sources: conflicts and opportunities in a changing landscape

Regional Environmental Change - Replacement of conventional energy sources with renewables such as solar panels and wind turbines requires adequate land. Impact assessments should be conducted to...     

Stand-alone wind power system with battery/supercapacitor hybrid energy storage

This paper presents a stand-alone wind power system with battery/supercapacitor hybrid energy storage. A stand-alone wind power system mainly consists of a wind turbine, a permanent magnet synchronous generator, hybrid energy storage devices based on a vanadium redox flow battery and a supercapacitor, an AC/DC converter, two bidirectional DC/DC converters, a DC/AC converter and a variable load. Several control strategies for the stand-alone wind power system are involved such as a maximum power point tracking (MPPT) control, a vanadium redox flow battery charge/discharge control and a supercapacitor charge/discharge control. The proposed MPPT control combines a sliding mode control with an extreme search control to capture maximum wind energy. This strategy avoids the necessity of measuring wind velocity, obtaining models or parameters of the wind turbine and calculating the differentials of the power generated from the wind power system and from the speed of the generator. The battery charge/discharge control maintains a constant DC bus voltage. When the battery charging/discharging current reaches the setting threshold, the charge/discharge control of the supercapacitor is triggered to limit the charging/discharging current of the battery. The simulation results show that the proposed method can rapidly respond to variations in wind velocity and load power.     

上海近海海域低层风特性分析

基于南汇和奉贤两个海上测风塔观测资料,采用数值统计分析方法,研究了上海近海海域低层风特征,包括风切变指数特征、风的阵性特征和湍流强度特征。结果表明,上海近海10~70 m高度风切变指数在0.09左右,阵风系数在1.20左右,均小于《建筑结构荷载规范》的推荐值。随着风速的增大,风切变指数和阵风系数均呈减小的变化。当风力等级在4级及以上时,切变指数可靠性较好,阵风系数变化较小,湍流强度基本相等。上海近海阵风系数和湍流强度均随着高度的增加而减小,在40 m以上时都趋于稳定。研究结果可为上海近海风资源评价、重大工程规划设计和施工建设以及区域防灾减灾实践提供科学依据和参考。     

Capitalistic Agency: The Rhetoric of BP's Helios Power Campaign

In this essay, we use rhetorical analysis to examine how British Petroleum's (BP) Helios Power media campaign both encourages and embodies capitalistic agency as the means to enact pro-environmental behavior. This form of agency limits the scope of environmentalism. Capitalistic agency can be conceptualized as the capacity to enact, or the process of enacting, capitalistic ends as well as the inherent constraining of agency that is not oriented toward the production of capital. Helios Power, launched in 2007, is BP's most recent American television, radio, internet advertising, and branding campaign. We examine the campaign website which heavily incorporates green marketing, including background images of wind turbines, environmental buzzwords throughout the text, green color schemes, and a section dedicated to conservation advocacy. By rhetorically aligning BP with environmentalism, providing customers a means of participation with environmentalism, and constraining profit-hindering conservation behaviors, Helios Power provides a vivid illustration for understanding the impact of capitalistic agency on society's perception of and progress toward environmental sustainability.     

Integrated hydro- and wind power generation: a game changer towards environmental flow in the Sub-middle and Lower São Francisco River Basin?

Many renewable resources for the generation of electricity, such as hydropower and wind power, are dependent on climatic factors. Reservoirs have been created to overcome the stochastic nature of river flows and to make water supply more reliable. However, reservoirs are affecting the ecological status of river ecosystems, e.g., by modifying the flow regime, triggering discussions regarding the discharge of reservoirs. In Brazil’s northeast region, the installed capacity for wind power generation has increased substantially in recent years. Setting up a modeling system for simulating wind power and hydropower generation in this study, it is analyzed whether wind power generation, peaking in the dry season, can help to achieve a more environmentally oriented flow regime in the Sub-middle and Lower São Francisco River Basin. Simulated higher discharges from reservoirs during the rainy season and lower discharges during the dry season, representing a more natural flow regime, will reduce hydropower generation in the dry season. Under recent conditions, the resulting gap in electricity generation can only be partially covered by wind power. A large share needs to be generated by thermal power plants or be imported from other regions in Brazil. The planned future increase in installed wind power capacity can change this picture; the demand for electricity generated by thermal power plants and imported will decrease. Adopting an integrated approach for hydropower and wind power generation, the flow regime in the Sub-middle and Lower São Francisco River Basin can be modified to improve the ecological status of the river system.     

能源消费与环境污染的边限协整分析

能源的使用是导致环境恶化的主要原因之一,所以研究能源消费与不同污染物之间的关系就很有必要。本文以1985-2007年的年度数据为样本,建立了自回归分布滞后—误差修正模型,并运用边限检验对我国的能源消费与环境污染之间的关系进行了实证研究。研究结果表明:长期来看能源消费总量、煤炭占能源消费总量的比重和水电、核电、风电占能源消费总量的比重对SO2的排放有重要影响,但是对工业烟尘排放量来说只有水电、核电、风电占能源消费总量的比重的影响是显著的;短期来看煤炭占能源消费总量的比重对SO2排放的影响是显著的,能源消费总量和水电、核电、风电占能源消费总量的比重对工业烟尘的排放有显著影响。由于能源消费总量和结构对不同污染物的长期和短期影响存在较大差异,所以在治理时应区别对待。     

湖北省丘陵山区风能资源特征分析

利用分布在湖北省丘陵山区的12个70 m（80 m）高测风塔一整年的资料,对我省丘陵山区风能资源的若干特征进行了较为详尽的对比分析,找出其中普遍的规律。结果表明：（1）我省山区风速季节变化为春季大,夏季和秋季较小;风速日变化为夜间大白天小,且变化幅度相对较大的测风塔主要分布在低山和中山区域;（2）有效风速频率在79%～92%,破坏性风速出现少;（3）风向频率较为集中,主要分布在偏南和偏北两个相反的方位;（4）风速随高度变化较复杂,10～30 m高度风速增加幅度较大,部分地区30～80 m高度存在等风层或风速随高度减小的情况;（5）有效风速段、大风及主导风向下的湍流强度均为中等。研究成果对湖北省,甚至是南方山区风能资源的合理开发利用将有所裨益     

华山观风电场风能资源评价

利用华山观风电场40 m测风塔2005年4月至2008年3月的测风资料,计算了平均风速、风速频率、风向频率、各方向风能、风功率密度及有效风速时数等各项风能参数,依据国标《风电场风能资源评估方法》（GB/T 18710-2002）中风功率密度等级划分标准对风电场的风能资源进行了评价,并利用距风电场最近的钟祥气象站的累年及同期气象资料,对测风期间的测风背景进行了分析。结果表明：风电场各高度年平均风速在55～57 m/s,年平均风功率密度在190～205 W/m2,年有效风速百分率在808%～823%;华山观主导风向与次多风向完全相反,不同高度两个方向合计频率在449%～505%;各风向风能分布比风向频率更加集中,不同高度主导风向的能量占478%～606%;风功率密度接近3级,具有一定开发利用价值,技术可开发量约3万kW;华山观风电场测风是在年平均风速小于多年平均风速的气候背景下进行的。     

Wind farm and fauna interaction: detecting bird and bat wing beats through cyclic motion analysis

Recent Government announcements have implied that wind power will play a major part in providing energy for the UK (BBC 2007 BBC. 2007. Wind ‘could power all UK homes’ [online], British Broadcasting Corporation. Available from: http://news.bbc.co.uk/1/hi/uk_politics/7135930.stm [Accessed 20 January 2008] [Google Scholar]). However, there is much concern that wind farms can have a significant impact on flying fauna (bats and birds) using the area, particularly at night. As part of an Environmental Impact Assessment, thorough appropriate surveys are necessary for quantifying and minimising any risk wind farms may cause flying fauna. Manual surveys that are commonly used are not always cost‐effective, efficient or practical. Remote systems based on motion detection are increasingly being used to monitor wildlife.

Fast‐moving airborne targets such as aeroplanes can falsely trigger motion‐detection based remote systems. As birds and bats repetitively flap their wings, this oscillating motion can be used to distinguish them from other airborne targets. Time periods between wing oscillations are not always constant, and hence the motion is not periodic. A method to detect cyclic motion based on similarity matrices is proposed, and synthetic and real data are used.     

Stand-alone hybrid energy system for sustainable development in rural India

Renewable energy system such as solar, wind, small hydro and biogas generators can be used successfully in rural off-grid locations where grid connection is not possible. The main objectives of this study are to examine which configuration is the most cost-effective for the village. One renewable energy model has been developed for supplying electric power for 124 rural households of an off-grid rural village in eastern India. The load demand of the village was determined by the survey work, and the loads were divided into three sub-heads such as primary load I, primary load II and deferred load. Locally available energy sources such as solar radiation and biogas derived from cow dung and kitchen wastes were used as sensitivity variables. This study is unique as it has not considered any diesel generator for supplying unmet electricity to the households; rather it completely depends on locally available renewable resources. Here in this paper, two different models were taken and their cost and environmental benefit were discussed and compared. The net present cost, levelised cost of energy and operating cost for various configurations of models were determined. The minimum cost of energy of $0.476/kWh with lowest net present cost of $386,971 and lowest operating cost ($21,025/year) was found with stand-alone solar–biogas hybrid system.     

Discussion on the Regional Division of the Development Stage of China's Wind Power

This paper constructs the index system of the regional division of the development stage of China's wind power resourc-es, including the index of energy, the index of wind energy endow-ments and other indices. Based on principal component analysis and layered clustering analysis of these indices, and combined with the conceptual function of the development and utilization stage of the wind power, this paper divides the development and utilization stage of the wind power into four stages taking province as the basic yardstick: optimization growth stage, the rapid growth stage,the slow growth stage and the initial growth stage. In addition, this paper briefly discusses the basic strategy that should be adopted in each development stage of wind power resources.