Haojie Jia^1,2, Hong Du^1,2,*, Muhmmad Aslam^1,2, Tangcheng Li^1,2, Canqi Zheng^1,2, Xihui Xie^1,2, Nan Huang^1,2, Honghao Liang^1,2, Pengbing Pei^1,2, Ping Li^1,2, Weizhou Chen^1,2, Xiaojuan Liu^1,2

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 91-110, 2023, DOI:10.32604/phyton.2022.022663

Abstract Sulfur is an essential macronutrient for the growth of all photosynthetic organisms and plays important roles in different metabolic pathways. However, sulfur metabolism and its related research on macroalgae with important ecological value is rather limited. In this study, marine ecological valued macroalga Gracilariopsis lemaneiformis was used to study the general physiological responses and transcriptome profiling under the sulfate deficiency. The relative growth rate of algae under sulfate deficiency was statistically significantly lower than that of control after 6 days. However, no significant differences were observed in the pigments content and Fv/Fm value, indicating that the photosynthesis was not obviously… More >

Safwan Qadri¹, Shixiang Chen^1,*, Syed Usman Qadri²

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 635-648, 2022, DOI:10.32604/ijmhp.2022.021689

Abstract Worldwide, the COVID-19 pandemic has had a significant impact on social and economic conditions as well as mental and physical health. Pakistan is considered in high ranks on Uncertainty Avoidance Index (UAI). The people of Pakistan have already faced numerous obstacles in terms of food and housing prospects. Job security, inflated prices of food items, and financial distress are the foremost vital challenges of Pakistan’s people during the Pandemic. This study examines the people’s perception of social, economic, and psychological impact and explores the causes and trends of spreading the COVID-19 pandemic in Pakistan. A primary survey method was conducted… More >

G. Girishkumar^1,*, S. Ganesan², N. Jayakumar³, S. Subramanian⁴

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 609-625, 2023, DOI:10.32604/iasc.2023.027514

Abstract The optimization field has grown tremendously, and new optimization techniques are developed based on statistics and evolutionary procedures. Therefore, it is necessary to identify a suitable optimization technique for a particular application. In this work, Black Widow Optimization (BWO) algorithm is introduced to minimize the cost functions in order to optimize the Multi-Area Economic Dispatch (MAED). The BWO is implemented for two different-scale test systems, comprising 16 and 40 units with three and four areas. The performance of BWO is compared with the available optimization techniques in the literature to demonstrate the strategy’s efficacy. Results show that the optimized cost… More >

Ulagammai Meyyappan^*, S. Joyal Isac

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 399-413, 2023, DOI:10.32604/iasc.2023.026627

Abstract Demand Response (DR) is one of the most cost-effective and unfailing techniques used by utilities for consumer load shifting. This research paper presents different DR programs in deregulated environments. The description and the classification of DR along with their potential benefits and associated cost components are presented. In addition, most DR measurement indices and their evaluation are also highlighted. Initially, the economic load model incorporated thermal, wind, and energy storage by considering the elasticity market price from its calculated locational marginal pricing (LMP). The various DR programs like direct load control, critical peak pricing, real-time pricing, time of use, and… More >

T. R. Manikandan^*, Venkatesan Thangavelu

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 431-447, 2023, DOI:10.32604/iasc.2023.026546

Abstract The purpose of the Combined Economic Emission Dispatch (CEED) of electric power is to offer the most exceptional schedule for production units, which must run with both low fuel costs and emission levels concurrently, thereby meeting the lack of system equality and inequality constraints. Economic and emissions dispatching has become a primary and significant concern in power system networks. Consequences of using non-renewable fuels as input to exhaust power systems with toxic gas emissions and depleted resources for future generations. The optimal power allocation to generators serves as a solution to this problem. Emission dispatch reduces emissions while ignoring economic… More >

Jian Dong, Haixin Wang, Junyou Yang^*, Liu Gao, Kang Wang, Xiran Zhou

CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 319-340, 2022, DOI:10.32604/cmes.2022.020394

Abstract Integrated energy system optimization scheduling can improve energy efficiency and low carbon economy. This paper studies an electric-gas-heat integrated energy system, including the carbon capture system, energy coupling equipment, and renewable energy. An energy scheduling strategy based on deep reinforcement learning is proposed to minimize operation cost, carbon emission and enhance the power supply reliability. Firstly, the low-carbon mathematical model of combined thermal and power unit, carbon capture system and power to gas unit (CCP) is established. Subsequently, we establish a low carbon multi-objective optimization model considering system operation cost, carbon emissions cost, integrated demand response, wind and photovoltaic curtailment,… More >

Fei Liu^1,2, Yunkai Zhang^1,2, Jian Zhang^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 153-172, 2022, DOI:10.32604/cmes.2022.017967

Abstract A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space. There is a growing interest in underground building and growth worldwide. The reduced consumption of electricity, effective preservation of green land, sustainable wastewater and sewage treatment, efficient reverse degradation of the urban environment, and reliable critical infrastructure management can improve the quality of life. At the same time, technological innovations such as artificial intelligence (AI), cloud computing (CC), the internet of things (IoT), and big data analytics (BDA) play a significant role in improved quality of life.… More >

Ming Zeng^1,2, Haibin Cao¹, Ting Pan^1,2,*, Pinduan Hu^1,2, Shi Tian¹, Lijun Zhong³, Zhi Ling⁴

Energy Engineering, Vol.119, No.4, pp. 1569-1586, 2022, DOI:10.32604/ee.2022.019488

Abstract Energy storage system is an important means to improve the flexibility and safety of traditional power system, but it has the problem of high cost and unclear value recovery path. In this paper, the typical application scenarios of energy storage system are summarized and analyzed from the perspectives of user side, power grid side and power generation side. Based on the typical application scenarios, the economic benefit assessment framework of energy storage system including value, time and efficiency indicators is proposed. Typical battery energy storage projects are selected for economic benefit calculation according to different scenarios, and key factors are… More >

Joongbaeck Kim¹, Manacy Pai^2,*

International Journal of Mental Health Promotion, Vol.24, No.3, pp. 311-329, 2022, DOI:10.32604/ijmhp.2022.017555

Abstract Extensive research suggests that living in a socioeconomically disadvantaged neighborhood is associated with poor mental health. Few studies, however, have examined (1) whether neighborhood disadvantage is associated with residents’ self-esteem; and (2) the extent to which individual-level socioeconomic resources such as income and education, and relational resources such as marriage and social support moderate the association between neighborhood disadvantage and self-esteem. This study employs data from the Americans’ Changing Lives panel survey (hereafter ACL), a 15-year panel study of the U.S. adult population ages 25 and older in original sample. Because hierarchical linear model was employed to analyze data, findings… More >

Seyed Mohammad Seyed Hosseini^*, Kamran Shahanaghi, Safar Shasfand

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 815-833, 2022, DOI:10.32604/fdmp.2022.019626

Abstract

The thermo-economic performance of a gas turbine is simulated using a fish bone technique to characterize the major equipment failure causes. Moreover a fault tree analysis and a Pareto technique are implemented to identify the related failure modes, and the percentage and frequency of failures, respectively. A pump 101 and drier 301 belonging to the Tabriz Petrochemical Company are considered for such analysis, which is complemented with a regression method to determine a behavioral model of this equipment over a twenty-year period. Research findings indicate that 81% of major failure factors in production equipment are related to the executive procedures… More >