scholarly journals Energy Consumption Optimization in Irrigation Networks Supplied by a Standalone Direct Pumping Photovoltaic System

2018 ◽  
Vol 10 (11) ◽  
pp. 4203 ◽  
Author(s):  
Miguel Pardo Picazo ◽  
Juan Juárez ◽  
Diego García-Márquez
Keyword(s):  
Energy Consumption ◽  
Irrigation Schedule ◽  
Citrus Fruit ◽  
Photovoltaic System ◽  
Solar Panels ◽  
Available Energy ◽  
Water Demands ◽  
Irrigation Networks ◽  
Energy Consumption Optimization ◽  
Schedule Type

Due to the fact that irrigation networks are water and energy hungry and that both resources are scarce, many strategies have been developed to reduce this consumption. Solar energy sources have emerged as a green alternative with lower energy costs and, consequently, lower environmental impacts. In this work, a new methodology is proposed to select a scheduled program for irrigation which minimizes the number of photovoltaic solar panels to be installed and which better fits energy consumption (calculated for discrete potential combinations, assisted by programming software) to available energy obtained by panels without any power conditioning unit. Thus, the irrigation hours available to satisfy the water demands are limited by sunlight, the schedule type of irrigation has to be rigid (rotation predetermined), and the pressure at any node has to be above the minimum pressure required by standards. A case study was undertaken and, after running the software 105 times, the best result was an irrigation schedule which satisfied all the requirements, involving the installation of 651 solar panels and energy consumption of 428.74 kWh per day, to deliver water to orchards of different varieties of citrus fruit spread over 167.7 ha.

scholarly journals Energy Consumption Optimization in Irrigation Networks Supplied by a Standalone Direct Pumping Photovoltaic System

2018 ◽  
Author(s):  
M. A. Pardo ◽  
Juan Manzano ◽  
Diego García
Keyword(s):  
Energy Consumption ◽  
Photovoltaic System ◽  
Solar Panels ◽  
Available Energy ◽  
Water Demands ◽  
Irrigation Networks ◽  
Energy Consumption Optimization ◽  
Programming Software ◽  
Schedule Type

Due to the fact that irrigation networks are water and energy-hungry and that both resources are scarce, many strategies have been developed to reduce this consumption. Otherwise, solar energy sources have become a green alternative with lower energy costs and, as a consequence, lower environmental impacts. In this work, it is proposed a new methodology to select the scheduled program for irrigation which minimizes the number of photovoltaic solar panels to be installed and which better fits energy consumption (calculated for discrete potential combinations; using a programming software to assist) to available energy obtained by panels without any power conditioning unit. So, the irrigation hours available to satisfy the water demands are limited by sunlight, the schedule type of irrigation has to be rigid (rotation predetermined) and the pressure at any node has to be above the minimum pressure required by standards. A real case study has been performed.

Electrical performance results of an energy efficient building with an integrated photovoltaic system

2010 ◽  
Vol 21 (3) ◽  
pp. 2-8 ◽  
Author(s):  
Sosten Ziuku ◽  
Edson L. Meyer
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Electrical Power ◽  
Electrical Energy ◽  
Photovoltaic System ◽  
Electrical Performance ◽  
Solar Panels ◽  
Building Integrated Photovoltaics ◽  
The North ◽  
Indoor And Outdoor

A 3.8 kW rooftop photovoltaic generator has been installed on an energy efficient house built at the University of Fort Hare, Alice campus, South Africa. The system, located on the north facing roof, started generating electrical power in February 2009. In addition to providing electrical energy, the photovoltaic panels also act as the building roofing material. An instrumentation and data acquisition system was installed to record the indoor and outdoor ambient temperature, indoor and outdoor relative humidity, wind speed and direction, solar irradiance, electrical energy produced by the solar panels and the household energy consumption. This paper presents the initial results of the electrical performance of the building integrated photovoltaics (BIPV) generator and energy consumption patterns in the energy efficient house.

scholarly journals NFV-Enabled Efficient Renewable and Non-Renewable Energy Management: Requirements and Algorithms

2020 ◽  
Vol 12 (10) ◽  
pp. 171
Author(s):  
Christian Tipantuña ◽  
Xavier Hesselbach
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Management ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Consumer Participation ◽  
Available Energy ◽  
Heuristic Strategies ◽  
Energy Consumption Optimization ◽  
Network Functions

The increasing worldwide energy demand, the CO2 emissions generated due to the production and use of energy, climate change, and the depletion of natural resources are important concerns that require new solutions for energy generation and management. In order to ensure energy sustainability, measures, including the use of renewable energy sources, the deployment of adaptive energy consumption schemes, and consumer participation, are currently envisioned as feasible alternatives. Accordingly, this paper presents the requirements and algorithmic solutions for efficient management of energy consumption, which aims to optimize the use of available energy, whether or not it is 100% renewable, by minimizing the waste of energy. The proposal works within a Demand-Response environment, uses Network Functions Virtualization as an enabling technology, and leverages the massive connectivity of the Internet of Things provided by modern communications technologies. The energy consumption optimization problem is formulated as an Integer Linear Program. It is optimally solved while using a brute-force search strategy, defined as OptTs, to detect all concerns that are related to the problem. Given the NP-hard nature of the problem and the non-polynomial complexity of OptTs, some heuristic solutions are analyzed. Subsequently, a heuristic strategy, described as FastTs based on a pre-partitioning method, is implemented. The simulation results validate our proposed energy management solution. Exact and heuristic strategies, when deployed in the Network Functions Virtualization domain, demonstrate improvements in the way that energy is consumed, thereby offering an increase in service processing. The evaluation results also show that FastTs produces high-quality solutions that are close to those of OptTs while executing 230×–5000× faster.

scholarly journals Energy Saving Strategies and On-Site Power Generation in a University Building from a Tropical Climate

2021 ◽  
Vol 11 (2) ◽  
pp. 542
Author(s):  
Jaqueline Litardo ◽  
Massimo Palme ◽  
Rubén Hidalgo-León ◽  
Fernando Amoroso ◽  
Guillermo Soriano
Keyword(s):  
Power Generation ◽  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Tropical Climate ◽  
Power Converter ◽  
Photovoltaic System ◽  
Base Line ◽  
Building Energy Consumption ◽  
Cooling Loads

This paper compares the potential for building energy saving of various passive and active strategies and on-site power generation through a grid-connected solar photovoltaic system (SPVS). The case study is a student welfare unit from a university campus located in the tropical climate (Aw) of Guayaquil, Ecuador. The proposed approach aims to identify the most effective energy saving strategy for building retrofit in this climate. For this purpose, we modeled the base line of the building and proposed energy saving scenarios that were evaluated independently. All building simulations were done in OpenStudio-EnergyPlus, while the on-site power generation was carried out using the Homer PRO software. Results indicated that the incorporation of daylighting controls accounted for the highest energy savings of around 20% and 14% in total building energy consumption, and cooling loads, respectively. Also, this strategy provided a reduction of about 35% and 43% in total building energy consumption, and cooling loads, respectively, when combined with triple low-e coating glazing and active measures. On the other hand, the total annual electric energy delivered by the SPVS (output power converter) was 66,590 kWh, from where 48,497 kWh was supplied to the building while the remaining electricity was injected into the grid.

Stability of aerobic granular sludge under low energy consumption: Optimization of granular size distribution by a novel internal component

2021 ◽  
Author(s):  
Runjuan Cao ◽  
Yatong Ji ◽  
Taixing Han ◽  
Jingsong Deng ◽  
Liang Zhu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Granular Sludge ◽  
Pollutant Removal ◽  
Low Energy ◽  
Aerobic Granular Sludge ◽  
Mesh Screen ◽  
Energy Consumption Optimization ◽  
Low Energy Consumption ◽  
Internal Component ◽  
The Stability

To enhance the stability and pollutant removal performance of an aerobic granular sludge (AGS), four groups of AGS reactors with different pore sizes of mesh screen (R1 is control reactor,...

A novel way of parameter estimation of solar photovoltaic system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Bisht ◽  
Afzal Sikander
Keyword(s):  
Parameter Estimation ◽  
Mean Absolute Error ◽  
Optimization Technique ◽  
Absolute Error ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Panels ◽  
Content Type ◽  
Solar Photovoltaic System

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.

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