Wind energy utilization: A bibliography

Bibliography cites documents published to and including 1974 with abstracts and references, and is indexed by topic, author, organization, title, and keywords. Topics include: Wind Energy Potential and Economic Feasibility, Utilization, Wind Power Plants and Generators, Wind Machines, Wind Data and Properties, Energy Storage, and related topics

Energy Utilization Technology of Agriculture and Forestry Waste

The increasing of fossil energy consumption and will be limited of fossil energy source, cause important to develope alternative energy. One of alternative energy is energy from biomass waste, like agriculture and forestry waste. Those biomass wastes contain cellulose, hemicellulose and lignin. The utilization technology of biomass waste could be done by thermochemical and biochemical process. Direct combustion, gasification, convertion to solid fuel and esterification are the termochemical process, that produce heat supply generator , flameable gas, solid fuel and diesel fuel. Anaerobic digestion and ethanol fermentation are the biochemical convertion, that produce methane gas and ethanol. The energy bioconverrtion technology to convert ethanol from biomass waste are pretreatment, hydrolysis, fermentation, distillation and dehydration

Dietary Energy Utilization in Rams Being Fed During the Day And/or at Night

A study was carried out to assess dietary energy utilization in male fat-tailed sheep being fed duringthe day and/or at night. This study were used 12 rams of 12-18 months old with average of initial bodyweight of 27.05±2.9 kg (CV = 10.74%). The experimental design used in this study was a completelyrandomized design (CRD) with 3 treatments and 4 replications. The treatments were feeding during theday (06.00-18.00; DF), feeding at night (18.00-06.00; NF), and feeding all day and night (06.00-06.00;DNF). The diet was offered ad libitum. The results showed that feeding during the day and/or at nightdid not significantly affect (P>0.05) all parameters observed. The average of dry matter intake (DMI),average daily gain (ADG), gross energy intake (GEI), energy digestibility (DE) and energymetabolizability (ME) were 1006 g/d, 75 g/d, 19.2 MJ/d, 74.0% of gross energy, and 66.2% of grossenergy, respectively. The feed efficiency ratio (FCR), gross energy efficiency, digestible energyefficiency, and metabolizable energy efficiency were 7.38%, 3.86 g ADG/MJ, 5.24 g ADG/MJ, and 5.84g ADG/MJ, respectively. It is concluded that time of feeding did not affect the dietary energy utilizationin local rams

<Advanced Energy Utilization Division> Advanced Energy Utilization Division

3-1. Research Activities in 202

Distributed MPC for coordinated energy efficiency utilization in microgrid systems

To improve the renewable energy utilization of distributed microgrid systems, this paper presents an optimal distributed model predictive control strategy to coordinate energy management among microgrid systems. In particular, through information exchange among systems, each microgrid in the network, which includes renewable generation, storage systems, and some controllable loads, can maintain its own systemwide supply and demand balance. With our mechanism, the closed-loop stability of the distributed microgrid systems can be guaranteed. In addition, we provide evaluation criteria of renewable energy utilization to validate our proposed method. Simulations show that the supply demand balance in each microgrid is achieved while, at the same time, the system operation cost is reduced, which demonstrates the effectiveness and efficiency of our proposed policy.Accepted manuscrip

Quasi-dynamic Load and Battery Sizing and Scheduling for Stand-Alone Solar System Using Mixed-integer Linear Programming

Considering the intermittency of renewable energy systems, a sizing and scheduling model is proposed for a finite number of static electric loads. The model objective is to maximize solar energy utilization with and without storage. For the application of optimal load size selection, the energy production of a solar photovoltaic is assumed to be consumed by a finite number of discrete loads in an off-grid system using mixed-integer linear programming. Additional constraints are battery charge and discharge limitations and minimum uptime and downtime for each unit. For a certain solar power profile the model outputs optimal unit size as well as the optimal scheduling for both units and battery charge and discharge (if applicable). The impact of different solar power profiles and minimum up and down time constraints on the optimal unit and battery sizes are studied. The battery size required to achieve full solar energy utilization decreases with the number of units and with increased flexibility of the units (shorter on and off-time). A novel formulation is introduced to model quasi-dynamic units that gradually start and stop and the quasi-dynamic units increase solar energy utilization. The model can also be applied to search for the optimal number of units for a given cost function.Comment: 6 pages, 3 figures, accepted at The IEEE Conference on Control Applications (CCA

Optimization of carbon and energy utilization through differential translational efficiency.

Control of translation is vital to all species. Here we employ a multi-omics approach to decipher condition-dependent translational regulation in the model acetogen Clostridium ljungdahlii. Integration of data from cells grown autotrophically or heterotrophically revealed that pathways critical to carbon and energy metabolism are under strong translational regulation. Major pathways involved in carbon and energy metabolism are not only differentially transcribed and translated, but their translational efficiencies are differentially elevated in response to resource availability under different growth conditions. We show that translational efficiency is not static and that it changes dynamically in response to mRNA expression levels. mRNAs harboring optimized 5'-untranslated region and coding region features, have higher translational efficiencies and are significantly enriched in genes encoding carbon and energy metabolism. In contrast, mRNAs enriched in housekeeping functions harbor sub-optimal features and have lower translational efficiencies. We propose that regulation of translational efficiency is crucial for effectively controlling resource allocation in energy-deprived microorganisms