A recent study published in Nature Climate Change challenges the perception of rooftop photovoltaic (RPV) systems as a marginal technology, revealing their significant potential to combat global warming.

Small MGS (microgrid systems) are capable of decreasing energy losses. Long-distance power transmission lines are constructed by integrating distributed power sources with energy storage subsystems, which is the current trend in the development of RES (renewable energy sources). Although energies produced by RES do not cause pollution, they are stochastic and hence challenging to manage. This disadvantage makes high penetration of RES risky for the stability, dependability, and power quality of main electrical grids. The energies obtained from RES must thus (...) be integrated in the best possible way. To provide maximum energy sustainability and best energy usage, hybrid energy systems must manage energy efficiently. In order to improve power management and make better use of RES, this study offers a hybrid energy power management controller based on hybrid MABC (modified artificial bee colony) and ANN (artificial neural network) for MGS, PVS (photovoltaic system), and WT (wind turbine). Controlling power flows between grids and energy sources is the suggested approach for power control. D/R (demands/responses), customer reactions, offering priorities, D/R properties like COE (cost of energies), and sizes (lengths) are considered in this work. Along with current techniques, a suggested model is implemented in the MATLAB/Simulink platform. (shrink)

Small MGS (microgrid systems) are capable of decreasing energy losses. Long-distance power transmission lines are constructed by integrating distributed power sources with energy storage subsystems, which is the current trend in the development of RES (renewable energy sources). Although energies produced by RES do not cause pollution, they are stochastic and hence challenging to manage. This disadvantage makes high penetration of RES risky for the stability, dependability, and power quality of main electrical grids. The energies obtained from RES must thus (...) be integrated in the best possible way. To provide maximum energy sustainability and best energy usage, hybrid energy systems must manage energy efficiently. In order to improve power management and make better use of RES, this study offers a hybrid energy power management controller based on hybrid MABC (modified artificial bee colony) and ANN (artificial neural network) for MGS, PVS (photovoltaic system), and WT (wind turbine). Controlling power flows between grids and energy sources is the suggested approach for power control. D/R (demands/responses), customer reactions, offering priorities, D/R properties like COE (cost of energies), and sizes (lengths) are considered in this work. Along with current techniques, a suggested model is implemented in the MATLAB/Simulink platform. (shrink)

In this paper comparative analysis of maximum power point tracking techniques has been conducted to achieve highest magnitude of power from photovoltaic array. The algorithms proposed in this paper for extracting peak output from photovoltaic array are Perturb and Observe, Incremental Conductance, and Fuzzy Logic Control. There are some limitations with conventional converters i.e. Buck-Boost converter. When the operating voltage exceeds normal voltage as the voltage becomes high, the conventional converters fail to carry high voltage and current. Apart (...) from this the ripple contents also increase abnormally due to the large impedance in the conventional converter. Similarly these converters cannot track maximum power point faster and effectively. In that case Single Ended Primary Inductor Converter (SEPIC) is the best choice instead of the conventional buck-boost converter, which is employed with the aim of extracting maximum output from the photovoltaic array. The aim of this study is to compare three MPPT techniques under varying environmental conditions with respect to maximum power extraction and speed of tracking time. SEPIC is used instead of conventional buck-boost converter in order to achieve maximum efficiency and less ripples. Also it can track maximum power point (MPP) faster than Buck-Boost Converter. Comparative analysis of three most extensively used MPPT techniques have been conducted in Simulink/Matlab. (shrink)

Purpose: The purpose of this paper is to examine the feasibility and design of zero-energy buildings (ZEBs) in cold and semi-arid climates. In this study, to maximize the use of renewable energy, energy consumption is diminished using passive solar architecture systems and techniques. -/- Design/methodology/approach: The case study is a residential building with a floor area of 100 m2 and four inhabitants in the cold and semi-arid climate, northeast of Iran. For thermal simulation, the climate data such as air temperature, (...) sunshine hours, wind, precipitation and hourly sunlight, are provided from the meteorological station and weather databases of the region. DesignBuilder software is applied for simulation and dynamic analysis of the building, as well as PVsyst software to design and evaluate renewable energy performance. -/- Findings: The simulation results show a 30% decrease in annual energy consumption of the building by complying with the principles of passive design (optimal selection of direction, Trombe wall, shade, proper insulation selection) from 25,443 kWh to 17,767 kWh. Then, the solar energy photovoltaic (PV) system is designed using PVsyst software, taking into account the annual energy requirement and the system’s annual energy yield is estimated to be 26,291 kWh. -/- Originality/value: The adaptive comparison of the values obtained from the energy analysis indicated that constructing a ZEB is feasible in cold and semi-arid conditions and is considered an effective step to achieve sustainable and environmentally friendly construction. (shrink)

One of the main reasons of environmental pollution is energy consumption in buildings. Today, the use of renewable energy sources is increasing dramatically. Among these sources, solar energy has favorable costs for various applications. This study examined a commercial building in a hot and humid climate. The findings showed that choosing the optimal angle of solar panels with the goal of optimized energy consumption would yield reduced costs and less environmental pollutants with the least cost and maximum energy absorption. In (...) this study, to calculate the energy requirements of the building, DesignBuilder software was used. To study the solar angles and estimate the energy produced by the solar panels, Polysun software was used after simulating the building energy. Energy simulation results showed that the whole building energy consumption was 26604 kWh/year. Finally, the evaluation results of solar panels showed that the energy produced by photovoltaic modules at an optimal angle of 31° would be equal to 26978 kWh/year, which is more than the energy required by the building. This system can prevent 14471 kg of carbon dioxide emissions annually. Sustainable energy criteria showed that for the studied building, photovoltaic modules could be used in energy production to reach a zero-energy system connected to the grid with an annual energy balance. (shrink)

Note : Since the use of optical nano-antennas for solar energy harvesting offers a practical solution with high efficiency compared to other common photovoltaic technologies such as solar panels, it has led to rapid development in the nano-and optical materials industry. -/- When a solar electromagnetic wave strikes the surface of a nanoantenna, a time-varying current is generated on the surface of the nanoantenna, resulting in a voltage at its feed gap. An antenna is a device that can receive (...) electromagnetic waves in space. In order for an antenna to receive a solar electromagnetic wave, the dimensions of the antenna must be on the order of the wavelength of the incoming wave to its surface. (shrink)

Today, the need for primary and secondary energies is always increasing to meet the energy needs of mankind. In recent years, solar cells have been used as an alternative to produce renewable, sustainable, and pollution-free energy. Various materials have been used as the transfer layer in cells. TIO2 is one of these materials that has been widely used as the electron transfer layer, but currently, ZnO is another significant material. is more recently used than TIO2. Also, perovskite solar cells are (...) the new generation of solar cells that belong to the nano family. Currently, perovskite solar cells (PSC) as a promising cell in the electronics industry, due to the high-power conversion efficiency, as well as the relatively lower cost of manufacturing a silicon solar cell, and such high flexibility that leads to the use of Perovskite is on different types of substrates. Also, the use of graphene as the most important fundamental photovoltaic material for photovoltaic energy conversion has emerged and been used. Graphene is used as a transparent electrode, as an active layer between layers, as an electron and hole transfer layer, or as an electron and hole separator layer in the construction of solar cells. In this article, the goal is to find the best structure with the highest power conversion efficiency in solar cells, and we will see further that by using perovskite, ZnO, and graphene, we will achieve a power conversion efficiency of 16% with a low manufacturing cost. (shrink)

The topics approached in the 52 papers included in this book are: neutrosophic sets; neutrosophic logic; generalized neutrosophic set; neutrosophic rough set; multigranulation neutrosophic rough set (MNRS); neutrosophic cubic sets; triangular fuzzy neutrosophic sets (TFNSs); probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; neutro-homomorphism; neutrosophic computation; quantum computation; neutrosophic association rule; data mining; big data; oracle Turing machines; recursive enumerability; oracle computation; interval number; dependent degree; possibility degree; power aggregation operators; multi-criteria group decision-making (MCGDM); expert set; soft sets; LA-semihypergroups; single valued (...) trapezoidal neutrosophic number; inclusion relation; Q-linguistic neutrosophic variable set; vector similarity measure; fundamental neutro-homomorphism theorem; neutro-isomorphism theorem; quasi neutrosophic triplet loop; quasi neutrosophic triplet group; BE-algebra; cloud model; Maclaurin symmetric mean; pseudo-BCI algebra; hesitant fuzzy set; photovoltaic plan; decision-making trial and evaluation laboratory (DEMATEL); Choquet integral; fuzzy measure; clustering algorithm; and many more. (shrink)

Abstract— According to studies, buildings use around 40% of the total energy consumption in the world. Most of this consumed energy comes from fossil fuel, one of the sources of environmental pollution. The Net Zero Energy Building (NZEB) is an alternative to this alarming pollution. With its reduced energy needs and renewable energy systems, a ZEB can return as much energy as it takes from the utility on an annual basis. Thus the main objective of this study is to discuss (...) the economical and friendly environmental renewable energy system integrated to building in Egypt to be (NZEB) economical by maximizing the renewable energy fraction and minimizing the greenhouse gases (GHG) emissions. The system consists of two renewable energy sources, comprising photovoltaic system, a wind turbine are considered for the proposed building under the study. By Utilizing the well-known Hybrid Optimization of Multiple Electric Renewables software to get the optimal configuration of a hybrid renewable energy system, based on the user inputs of loads, costs, technical details, solar and wind resources availability. (shrink)

In recent times, limitations and adverse effects of fossil fuels have significantly attracted researchers' attention to green fuels worldwide, especially in developed nations. As a way of assessing this actualization of biorefineries establishment in developing nations, this report surveys the works done by various researches towards this great course in terms of promoting and gaining the attention of both government and private investors about the technical and economic feasibility of embracing the use of biofuels, a case of bioethanol in Nigeria. (...) Different classes of feedstocks were reviewed for the laboratory-scale, process scale-up, pilot plant, and techno-economic studies regarding ascertaining the technical and economic feasibility of local setup of a functional biorefinery in Nigeria, which would be beneficial environmentally and economically. The literature survey unveiled that the Bioethanol yield obtained from sugarcane-juice (72.7 %), banana-stems (84.0 %), and cassava (92.0 %) were found to be of highest potential amongst other sugar-based, lignocellulosic, and starch- based feedstock, respectively. The survey further unveils that the volume of process scale-up and economic feasibility studies does not correlate well with the laboratory-scale studies. The bulk of the research works on bioethanol has given preferential attention to laboratory studies. Only a few studies have looked into the commercialization (i.e., scale-up) of the laboratory findings and the economic implications. Presently, only sugarcane and a few cassavas are reported in the literature so far. It is, therefore, necessary for further studies to give attention to the investigation of the commercializing locally developed technologies and the exploration of their economic benefits. (shrink)