Study on space-time structure of Higgs boson decay using HBT correlation Method in e+^+e−^- collision at s\sqrt{s}=250 GeV

The space-time structure of the Higgs boson decay are carefully studied with the HBT correlation method using e$^+$e$^-$ collision events produced through Monte Carlo generator PYTHIA 8.2 at $\sqrt{s}$=250GeV. The Higgs boson jets (Higgs-jets) are identified by H-tag tracing. The measurement of the Higgs boson radius and decay lifetime are derived from HBT correlation of its decay final state pions inside Higgs-jets in the e$^+$e$^-$ collisions events with an upper bound of $R_H \le 1.03\pm 0.05$ fm and $\tau_H \le (1.29\pm0.15)\times 10^{-7}$ fs. This result is consistent with CMS data.Comment: 7 pages,3 figure

The Korteweg-de Vires Equation for Bidirectional Pedestrian Flow Model

AbstractThis paper focuses on a two-dimensional bidirectional pedestrian flow model which involves the next-nearest-neighbor effect. The Korteweg-de Vries equation is derived to describe the density wave of pedestrian congestion by nonlinear analysis. The soliton solution is obtained

Synergetic planning method for energy stations, pipeline networks, and demand response

Rational planning for energy stations and their lower-level energy supply pipeline networks is vital for improving the economy of the regional integrated energy system. Many studies have been focused on synergetic planning for energy stations and pipeline networks, but few have been oriented from the perspective of synergetic planning for energy stations, pipeline networks, and demand response, which may result in a redundant configuration of the regional integrated energy system. This paper proposes a synergetic planning method for energy stations, pipeline networks, and demand response. Initially, the impact of demand response on the traditional synergetic planning for energy stations and pipeline networks is analyzed. Subsequently, a synergetic planning method for energy stations, pipeline networks, and demand response is proposed to determine the optimal locations of energy stations, the optimal equipment capacity of energy stations, the optimal demand response configuration, and the optimal layout of pipeline networks. Finally, case studies are conducted to verify the effectiveness of the proposed method. Compared with the traditional synergetic planning method for energy stations and pipeline networks without considering demand response, the proposed method can reduce the construction cost of energy stations by approximately 4.8% and pipeline networks by around 8.5%. Thus, the proposed method can be applied for planning energy stations and pipeline networks.</p

Synergetic planning method for energy stations, pipeline networks, and demand response

Rational planning for energy stations and their lower-level energy supply pipeline networks is vital for improving the economy of the regional integrated energy system. Many studies have been focused on synergetic planning for energy stations and pipeline networks, but few have been oriented from the perspective of synergetic planning for energy stations, pipeline networks, and demand response, which may result in a redundant configuration of the regional integrated energy system. This paper proposes a synergetic planning method for energy stations, pipeline networks, and demand response. Initially, the impact of demand response on the traditional synergetic planning for energy stations and pipeline networks is analyzed. Subsequently, a synergetic planning method for energy stations, pipeline networks, and demand response is proposed to determine the optimal locations of energy stations, the optimal equipment capacity of energy stations, the optimal demand response configuration, and the optimal layout of pipeline networks. Finally, case studies are conducted to verify the effectiveness of the proposed method. Compared with the traditional synergetic planning method for energy stations and pipeline networks without considering demand response, the proposed method can reduce the construction cost of energy stations by approximately 4.8% and pipeline networks by around 8.5%. Thus, the proposed method can be applied for planning energy stations and pipeline networks.</p

Load carrying capability of regional electricity-heat energy systems:Definitions, characteristics, and optimal value evaluation

Evaluating the load carrying capability of regional electricity-heat energy systems is of great significance to its planning and construction. Existing methods evaluate energy supply capability without considering load characteristics between various users. Besides, the impact of integrated demand response is not fully considered. To address these problems, this paper builds a load carrying capability interval model, which uses reliability as a security constraint and considers integrated demand response. An evaluation method for the optimal load carrying capability considering uncertainties of load growth is proposed. First, this paper defines energy supply capability, available capacity, and load carrying capability. Interval models are built to achieve the visualization display of these indices. Their characteristics are studied and the impact factors of interval boundary are analyzed. Secondly, a two-layer optimization model for the evaluation of optimal load carrying capability is constructed, considering the uncertainties of load growth. The upper-layer model aims at optimizing the sum of load carrying capability benefit, integrated demand response cost, and load curtailment penalty. The lower-layer model maximizes energy supply capability. Thereafter, the lower-layer model is linearized based on piecewise linearization and the least square method. The computation efficiency is greatly enhanced. In the case study, a real regional electricity-heat energy system is used to validate the proposed model and method.</p

Aerobic biodegradation of nonylphenol ethoxylates in shaking-flask test

Nonylphenol ethoxylates (NPEOs), which are widely used for industrial and domestic purposes, exert adverse effects on wildlife after being used and discharged into the environment. However, their ultimate biodegradability and biodegradation pathway remains unclear. In this study, the aerobic degradability of nonylphenol ethoxylates (NPEOs) by the acclimated microorganisms in active sludge was examined using shaking-flask tests. The degradation of benzene rings in NPEOs was determined using UV spectroscopy and high performance liquid chromatography (HPLC). Results showed that more than 80% of benzene rings were removed after 8-10 days of degradation, and the majority of NPEOs were also removed after 9 days of degradation, indicating NPEOs and the benzene rings could be ultimately degraded by microorganisms in acclimated active sludge. Electrospray ionization-mass spectroscopy (ESI-MS) analysis of biodegradation intermediates indicate that stepwise omega, beta-oxidation of EO chains or fission of EO chains, and further omega, beta-oxidation of alkyl-chain for short-EO-chain NPEOs constitute the main pathway in the early stage, and complete biodegradation occur when the benzene rings in these molecules are opened in the later stage