Cun Wei¹, Yunpeng Zhao^2,*, Mingyang Cong¹, Zhigang Zhou^1,*, Jingzan Yan³, Ruixin Wang¹, Zhuoyang Li¹, Jing Liu¹

Energy Engineering, Vol.120, No.6, pp. 1465-1484, 2023, DOI:10.32604/ee.2023.026337 - 03 April 2023

Abstract With increasing renewable energy utilization, the industry needs an accurate tool to select and size renewable energy equipment and evaluate the corresponding renewable energy plans. This study aims to bring new insights into sustainable and energy-efficient urban planning by developing a practical method for optimizing the production of renewable energy and carbon emission in urban areas. First, we provide a detailed formulation to calculate the renewable energy demand based on total energy demand. Second, we construct a dual-objective optimization model that represents the life cycle cost and carbon emission of renewable energy systems, after which More >

Jiulong Wang¹, Yanqing Gao², Xiaoping Rao³, Zongde Wang¹, Shibin Shang⁴, Zhanqian Song⁴, Hongyan Si^1,*, Shengliang Liao^1,*

Journal of Renewable Materials, Vol.11, No.5, pp. 2367-2379, 2023, DOI:10.32604/jrm.2023.026333 - 13 February 2023

Abstract The preparation of bioactive derivatives from the renewable natural product pinene is a hot research topic in the deep processing and utilization of pinene. In this study, β-pinene was used to develop novel molecules as a promising new precursor of insecticide. A series of amide-containing derivatives of β-pinene were synthesized and characterized. The insecticidal activities of these derivatives against Mythimna separate and Semiaphis heraclei were tested. The structure characterization results showed that the characterization data of amide-containing derivatives were in full agreement with their proposed structures. The insecticidal activities evaluation results indicated that amide-containing derivatives exhibited weak insecticidal… More >

Guodong Zeng¹, Chao Li^1,*, Yang Fang¹, Hongming Huang^1,2, Hao Li^1,3, Yishen Xu¹

Journal of Renewable Materials, Vol.11, No.5, pp. 2453-2467, 2023, DOI:10.32604/jrm.2023.025871 - 13 February 2023

Abstract For evaluating the water stability of hot-mixed renewable asphalt mixture (HRM), the traditional methods are all tested under still water conditions. Except for damage in still water conditions, the hydrodynamic pore pressure generated by the tire driving on the surface water has a great impact. Thus, the RAP contents of the HRMs were designed at 0%, 30%, 45% and 60% with AC-25 gradation. Then, the self-designed evaluation methods of water stability and dynamic modulus were studied. Finally, the mechanism of the influence of hydrodynamic pore pressure damage on HRMs was studied. The results show that… More >

Saurabh Awasthi^*, Gagan Singh, Nafees Ahamad

Energy Engineering, Vol.120, No.4, pp. 811-829, 2023, DOI:10.32604/ee.2023.026863 - 13 February 2023

Abstract A distributed generation system (DG) has several benefits over a traditional centralized power system. However, the protection area in the case of the distributed generator requires special attention as it encounters stability loss, failure re-closure, fluctuations in voltage, etc. And thereby, it demands immediate attention in identifying the location & type of a fault without delay especially when occurred in a small, distributed generation system, as it would adversely affect the overall system and its operation. In the past, several methods were proposed for classification and localisation of a fault in a distributed generation system.… More >

Ngakan Ketut Acwin Dwijendra^1,*, Indrajit Patra², N. Bharath Kumar³, Iskandar Muda⁴, Elsayed M. Tag El Din⁵

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 815-829, 2023, DOI:10.32604/cmc.2023.034297 - 06 February 2023

Abstract This study conducted in Lima, Peru, a combination of spatial decision making system and machine learning was utilized to identify potential solar power plant construction sites within the city. Sundial measurements of solar radiation, precipitation, temperature, and altitude were collected for the study. Gene Expression Programming (GEP), which is based on the evolution of intelligent models, and Artificial Neural Networks (ANN) were both utilized in this investigation, and the results obtained from each were compared. Eighty percent of the data was utilized during the training phase, while the remaining twenty percent was utilized during the… More >

Imran Khan¹, Firdaus Muhammad-Sukki², Jorge Alfredo Ardila Rey³, Abdullahi Abubakar Mas’ud⁴, Saud Jazaa Alshammari⁴, Dag Øivind Madsen^5,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1979-1989, 2023, DOI:10.32604/iasc.2023.034106 - 05 January 2023

Abstract Energy sustainability is a hot topic in both scientific and political circles. To date, two alternative approaches to this issue are being taken. Some people believe that increasing power consumption is necessary for countries’ economic and social progress, while others are more concerned with maintaining carbon consumption under set limitations. To establish a secure, sustainable, and economical energy system while mitigating the consequences of climate change, most governments are currently pushing renewable growth policies. Energy markets are meant to provide consumers with dependable electricity at the lowest possible cost. A profit-maximization optimal decision model is… More >

Manish Kumar^1,2,*, Nitai Pal¹

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4785-4799, 2023, DOI:10.32604/cmc.2022.032971 - 28 December 2022

Abstract Increasing energy demands due to factors such as population, globalization, and industrialization has led to increased challenges for existing energy infrastructure. Efficient ways of energy generation and energy consumption like smart grids and smart homes are implemented to face these challenges with reliable, cheap, and easily available sources of energy. Grid integration of renewable energy and other clean distributed generation is increasing continuously to reduce carbon and other air pollutants emissions. But the integration of distributed energy sources and increase in electric demand enhance instability in the grid. Short-term electrical load forecasting reduces the grid… More >

Mohamed Elnagi¹, Salah Kamel², Abdelhady Ramadan², Mohamed F. Elnaggar^3,4,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5229-5250, 2023, DOI:10.32604/cmc.2023.032469 - 28 December 2022

Abstract Renewable energy sources are gaining popularity, particularly photovoltaic energy as a clean energy source. This is evident in the advancement of scientific research aimed at improving solar cell performance. Due to the non-linear nature of the photovoltaic cell, modeling solar cells and extracting their parameters is one of the most important challenges in this discipline. As a result, the use of optimization algorithms to solve this problem is expanding and evolving at a rapid rate. In this paper, a weIghted meaN oF vectOrs algorithm (INFO) that calculates the weighted mean for a set of vectors… More >

Muhammad Idris^1,*, I. Husin², Indra Hermawan¹, Uun Novalia³, R. D. Batubara¹, Nugroho Agung Pambudi^4,*, Alfan Sarifudin⁴

Energy Engineering, Vol.120, No.1, pp. 107-123, 2023, DOI:10.32604/ee.2023.019203 - 27 October 2022

Abstract Diesel engines is an internal combustion engine with high thermal efficiency, which also uses biodiesel fuel, an environmentally friendly, non-toxic, and low sulfur content. Biodiesel has been around for a long time due to its similar characteristics to diesel fuels which has limited availability. However, several disadvantages are associated with biodiesel, such as poor volatility and high viscosity, which reduces engine performance. Therefore, this study was carried out to improve the diesel engine performance by mixing biodiesel with ecodiesel (ED), an additive produced from natural ingredients that is dissolvable in biodiesel. The biodiesel fuel properties More >

Haoran Wei, Tian Ji, Jianqing Huang^*

Journal of Renewable Materials, Vol.11, No.2, pp. 731-743, 2023, DOI:10.32604/jrm.2022.022283 - 22 September 2022

Abstract Simultaneous broadband absorption and polarization conversion are crucial in many practical applications, especially in terahertz communications. Thus, actively tunable metamaterial systems can exploit the graphene-based nanomaterials derived from renewable resources because of the flexible surface conductivity and selective permeability of the nanomaterials at terahertz frequencies. In this paper, we propose a graphene-based active tunable bifunctional metasurface for dynamic terahertz absorption and polarization conversion. The graphene ring presents a certain opening angle (A) along the diagonal of the xoy plane. When A = 0°, the proposed metasurface behaves as a broadband absorber. Numerical results show the feasibility… More >