482 research outputs found
Compensation Methods for Demand Response
Recently, more and more disputations about how demand response should be compensated have arisen. Moreover, the court is about to rehear the Order 745. It probably will have significant impact on the whole working system used to be built for demand response before. Nowadays, some power companies and utilities think that they will endure profits leakage while demand response resources still are compensated.
In this research, knowledge of demand response, local marginal price, Order 745 and other related concept will be explained in detail in case of misunderstanding. Associated with all these knowledge, a possible compensation method will be proposed. It combines many existing compensation methods. It mainly can be divided into three parts, i.e., high load period, off-peak period and low load period. The demand response resources will be compensated appropriately through these three periods. The compensation method endeavors to be just and reasonable
Triboluminescence: Materials, Properties, and Applications
Triboluminescence is one of the types of luminescence that could be activated by mechanical stress. Considering the rising research efforts and achievements in recent years, this chapter provides an overview on the study of triboluminescence. The first part gives a background description regarding the history, research status, and advantages of triboluminescence. Then, we summarize the material systems for triboluminescence in both organics and inorganics. In the third part, we review the properties of triboluminescence, particularly on the unique characteristics and their improvements. Finally, we give a comprehensive summary on the developments of triboluminescent devices for applications in various fields in terms of mechanical engineering, energy, biological monitoring, and sensors as well as lighting, imaging, and displaying
Realistic Flipped SU(5) from Orbifold SO(10)
We propose a realistic flipped SU(5) model derived from a five-dimensional
orbifold SO(10) model. The Standard Model (SM) fermion masses and mixings are
explained by combining the traditional Froggatt-Nielsen mechanism with the
five-dimensional wave function profiles of the SM fermions. Employing
tree-level spontaneous R-symmetry breaking in the hidden sector and
extra(ordinary) gauge mediation, we obtain realistic supersymmetry breaking
soft mass terms with non-vanishing gaugino masses. Including the messenger
fields at the intermediate scale and Kaluza-Klein states at the
compactification scale, we study gauge coupling unification. We show that the
SO(10) unified gauge coupling is very strong and the unification scale can be
much higher than the compactification scale. We briefly discuss proton decay as
well.Comment: 25 pages, 1 fi
Graphene-oxide modified polyvinyl-alcohol as microbial carrier to improve high salt wastewater treatment
This work discussed the preparation and characterization of graphene oxide (GO) modified polyvinyl alcohol (PVA) for bacteria immobilization to enhance the biodegrdation efficiency of saline organic wastewater. GO-PVA material has lamellar structure with higher surface area to support bacterial growth and high salinity tolerance. It significantly stimulated the bacterial population by 1.4 times from 2.07×103 CFU/mL to 5.04×103 CFU/mL, and the microbial structure was also improved for salinity tolerance. Acinetobacter, Pseudomonas and Thermophilic hydrogen bacilli were enriched inside GO-PVA materials for glucose biodegradation. Compared to the CODCr removal efficiency with only PVA as the carrier (52.8%), GO-PVA material had better degradation performance (62.8%). It is proved as a good candidate for bioaugmentation to improve biodegradation efficiency in hypersaline organic wastewater
Pluralistic Aging Diffusion Autoencoder
Face aging is an ill-posed problem because multiple plausible aging patterns
may correspond to a given input. Most existing methods often produce one
deterministic estimation. This paper proposes a novel CLIP-driven Pluralistic
Aging Diffusion Autoencoder (PADA) to enhance the diversity of aging patterns.
First, we employ diffusion models to generate diverse low-level aging details
via a sequential denoising reverse process. Second, we present Probabilistic
Aging Embedding (PAE) to capture diverse high-level aging patterns, which
represents age information as probabilistic distributions in the common CLIP
latent space. A text-guided KL-divergence loss is designed to guide this
learning. Our method can achieve pluralistic face aging conditioned on
open-world aging texts and arbitrary unseen face images. Qualitative and
quantitative experiments demonstrate that our method can generate more diverse
and high-quality plausible aging results.Comment: Accepted by ICCV 202
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