Huiwen Xu^*, Zhen Wang

Energy Engineering, Vol.118, No.4, pp. 1027-1043, 2021, DOI:10.32604/EE.2021.015028

Abstract In recent years, China has developed rapidly in terms of natural gas. Driven by regional economic integration, a regional natural gas market composed of neighboring provinces and cities has taken shape gradually, and it tends to grow toward the same direction in policy formulation, resource coordination, facility construction and market expansion. Based on the factors such as geographical location, economic conditions and natural gas consumption, this thesis tends to conduct a horizontal comparative analysis on the economic development conditions, natural gas consumption characteristics and natural gas pipeline network density of the three regions with obvious… More >

M. N. Tarhuni^*, W. R. Sulaiman, M. Z. Jaafar, M. Milad, A. M. Alghol

Energy Engineering, Vol.118, No.4, pp. 761-795, 2021, DOI:10.32604/EE.2021.016645

Abstract Fluid flow in fractured media has been studied for decades and received considerable attention in the oil and gas industry because of the high productivity of naturally fractured reservoirs. Due to formation complexity and reservoir heterogeneity, characterizing fluid flow with an appropriate reservoir model presents a challenging task that differs relatively from homogeneous conventional reservoirs in many aspects of view, including geological, petrophysical, production, and economics. In most fractured reservoirs, fracture networks create complex pathways that affect hydrocarbon flow, well performance, hence reservoir characterization. A better and comprehensive understanding of the available reservoir modeling approaches… More >

Sandhia Bai¹, A. K. Amirruddin¹, A. K. Pandey^2,*, M. Samykano^1,*, Muhammad Shakeel Ahmad³, Kamal Sharma⁴, V. V. Tyagi⁵

Energy Engineering, Vol.118, No.4, pp. 737-759, 2021, DOI:10.32604/EE.2021.016157

Abstract The global increase in energy demand has resulted in the depletion of non-renewable resources and caused environmental degradation. Consequently, emerging renewable technologies are a potential solution to fulfil energy demand and mitigate the effect of global warming. Low-cost solar energy harvesting technologies are most feasible technologies. Various solar cells technologies have been developed with improved overall performance and conversion efficiency. However, due to low cost and a wide range of applications, dye-sensitized solar cells (DSSCs) have been immensely focused on one of the most promising third-generation solar cells. The highest conversion efficiency of DSSC achieved… More >

Ruma Arora Soni^1,*, K. Sudhakar^1,3,4,*, R. S. Rana²

Energy Engineering, Vol.118, No.4, pp. 1045-1056, 2021, DOI:10.32604/EE.2021.016082

Abstract Spirulina is a sort of algae that grows in both fresh and seawater. It is considered the Earth’s most nutritionally dense food. Certain claims about Spirulina’s beneficial health properties are attributed to the relatively high protein content of the cells. Spirulina’s lipid, fatty acid profile, and biochemical composition have received little attention. The purpose of this study is to investigate the nature and decomposition of spirulina biomass at various temperatures. In the present investigation, Fourier transforms infrared spectroscopy, thermogravimetric analysis, and elemental analysis were used to study spirulina biomass biochemical characteristics. The optimal content of… More >

Maatouk Khoukhi^*, Omar Al Khatib

Energy Engineering, Vol.118, No.4, pp. 875-909, 2021, DOI:10.32604/EE.2021.015835

Abstract This paper reviews the principle and application of the thermally activated desiccant cooling systems with their capability to perform efficiently in hot-humid climates. The paper first introduces the continuous increase of thermal comfort required in building and their relation with the consumption of conventional energy sources. The importance of desiccant cooling technology and its applications has been introduced as well. The energy and environmental issues with the conventional energy supply and the demand with the environmental problems and conditions mainly related to indoor air quality have been also discussed in the second chapter of this More >

José María Esbrí^*, Alba Martinez-Coronado, Sofía Rivera Jurado, Eva García-Noguero, Pablo Higueras

Energy Engineering, Vol.118, No.4, pp. 1223-1235, 2021, DOI:10.32604/EE.2021.015781

Abstract Mercury (Hg) is a global pollutant that is subject to strict regulations to reduce anthropogenic emissions. The production of energy represents an important activity that leads to Hg emissions into the atmosphere. Of all the systems used, IGCC plants are the most promising for reducing Hg emissions, since it is possible to remove Hg from syngas prior to combustion. The aim of the present work was to evaluate the presence of Hg in the main streams of an experimental IGCC plant (ELCOGAS, Puertollano) in order to quantify Hg emissions and investigate the possibility of reducing… More >

Dieudonné Kaoga Kidmo^1,*, Bachirou Bogno^1,2,3, Kodji Deli¹, Michel Aillerie^2,3

Energy Engineering, Vol.118, No.4, pp. 931-945, 2021, DOI:10.32604/EE.2021.015574

Abstract In the present work, an assessment of the rural water supply potential by mechanical wind pumping around the floodplains of Lake Chad has been considered. Inside the floodplains around Lake Chad, available surface water is largely contaminated and represents health hazards to populations. Access to underground and clean water has increasingly become rare. Moreover, clean water scarcity has led to conflict and territorial pressures, which are contributing factors to poverty in the considered area. Four localities, Baga, Baga-Sola, Makari and Nguigmi, respectively, in Nigeria, Chad, Cameroon and Niger have been selected inside the floodplains around… More >

Ruichao Zhang^1,*, Liqiang Wang¹, Dechun Chen²

Energy Engineering, Vol.118, No.4, pp. 1069-1082, 2021, DOI:10.32604/EE.2021.014961

Abstract In recent years, deep learning models represented by convolutional neural networks have shown incomparable advantages in image recognition and have been widely used in various fields. In the diagnosis of sucker-rod pump working conditions, due to the lack of a large-scale dynamometer card data set, the advantages of a deep convolutional neural network are not well reflected, and its application is limited. Therefore, this paper proposes an intelligent diagnosis method of the working conditions in sucker-rod pump wells based on transfer learning, which is used to solve the problem of too few samples in a… More >

Sakarias Paaso^*, Ali Khosravi

Energy Engineering, Vol.118, No.4, pp. 1111-1133, 2021, DOI:10.32604/EE.2021.014949

Abstract Potential revenue from wind power generation is an important factor to be considered when planning a wind power investment. In the future, that may become even more important because it is known that wind power generation tends to push electricity wholesale prices lower. Consequently, it is possible that if a region has plenty of installed wind power capacity, revenue per generated unit of electricity is lower there than could be assumed by looking at the mean electricity wholesale price. In this paper, we compare 17 different locations in Finland in terms of revenue from wind More >

Vin Cent Tai^1,*, Yong Chai Tan¹, Nor Faiza Abd Rahman¹, Yaw Yoong Sia², Chan Chin Wang², Lip Huat Saw³

Energy Engineering, Vol.118, No.4, pp. 1057-1068, 2021, DOI:10.32604/EE.2021.014866

Abstract Aircraft engine design is a complicated process, as it involves huge number of components. The design process begins with parametric cycle analysis. It is crucial to determine the optimum values of the cycle parameters that would give a robust design in the early phase of engine development, to shorten the design cycle for cost saving and man-hour reduction. To obtain a robust solution, optimisation program is often being executed more than once, especially in Reliability Based Design Optimisations (RBDO) with Monte-Carlo Simulation (MCS) scheme for complex systems which require thousands to millions of optimisation loops… More >