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.

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 Feasibility Study on Installation of Rooftop Photovoltaic System in Complied with Thailand Energy Building Code

2020 ◽  
Vol 186 ◽  
pp. 01004
Author(s):  
Pathomthat Chiradeja ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Electrical Power ◽  
Current Trend ◽  
Building Energy ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Economic Perspective ◽  
Pv System

Renewable energy especially solar energy has become a significant part in electrical power generation with its advantage in the environmentally friendly and current trend of decrease in installation cost. The photovoltaic (PV) system on a rooftop is one of the power generating system based on renewable energy that can fit building to utilize space efficiently. This paper is analyzing the feasibility of installing a solar PV rooftop on the building using a case study building located in Bangkok, Thailand. The performance will be evaluated in term of both energy and economic perspective. The comparison with Thailand building energy code also been done to show that overall energy consumption with PV system complies with the law. The result has shown that with rooftop photovoltaic system installation, annual energy consumption in the building can be reduced significantly and it can achieve feasibility in term of economic perspective.

scholarly journals ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

2019 ◽  
Vol 11 (23) ◽  
pp. 6802 ◽  
Author(s):  
Adel Alblawi ◽  
M. H. Elkholy ◽  
M. Talaat
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Solar Energy ◽  
Relative Error ◽  
Average Energy ◽  
Office Building ◽  
Solar Panels ◽  
Tracking Model ◽  
One Year

Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21°. Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10−4. After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year.

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 Energetic-Environmental-Economic Feasibility and Impact Assessment of Grid-Connected Photovoltaic System in Wastewater Treatment Plant: Case Study

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 100
Author(s):  
Horia Andrei ◽  
Cristian Andrei Badea ◽  
Paul Andrei ◽  
Filippo Spertino
Keyword(s):  
Power Generation ◽  
Wastewater Treatment ◽  
Energy Consumption ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Economic Feasibility ◽  
Photovoltaic System ◽  
The Impact

Wastewater treatment plants and power generation constitute inseparable parts of present society. So the growth of wastewater treatment plants is accompanied by an increase in the energy consumption, and a sustainable development implies the use of renewable energy sources on a large scale in the power generation. A case study of the synergy between wastewater treatment plants and photovoltaic systems, aiming to improve the energetic, environmental and economic impacts, is presented. Based on data acquisition, the energy consumption analysis of wastewater treatment plant reveals that the highest demand is during April, and the lowest is during November. The placement of photovoltaic modules is designed to maximize the use of free space on the technological area of wastewater treatment plant in order to obtain a power output as high as possible. The peak consumption of wastewater treatment plant occurs in April, however the peak production of the photovoltaic is in July, so electrochemical batteries can partly compensate for this mismatch. The impact of the photovoltaic system connectivity on power grid is assessed by means of the matching-index method and the storage battery significantly improves this parameter. Carbon credit and energy payback time are used to assess the environmental impact. The results prove that the photovoltaic system mitigates 12,118 tons of carbon and, respectively, the embedded energy is compensated by production in 8 ½ years. The economic impact of the photovoltaic system is analyzed by the levelized cost of energy, and the results show that the price of energy from the photovoltaic source is below the current market price of energy.

scholarly journals Energy Consumption in a Distributional Warehouse: A Practical Case Study for Different Warehouse Technologies

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2709
Author(s):  
Konrad Lewczuk ◽  
Michał Kłodawski ◽  
Paweł Gepner
Keyword(s):  
Energy Consumption ◽  
Material Handling ◽  
Photovoltaic System ◽  
Practical Case ◽  
Cross Sectional ◽  
Equipment Operation ◽  
Building Maintenance ◽  
Low Degree ◽  
Fully Automatic

Energy consumption by distribution warehouses has become an essential component of green warehousing and research on reducing the carbon footprint of supply chains. Energy consumption in warehousing is a complex and multilayered problem, which is generally considered in the literature in relation to its detailed components, not as part of comparative studies. In this article, the authors consider six cross-sectional variants of warehouse technology, from manual to fully automatic, and analyze the energy consumption of a warehouse in various configurations. A methodology for estimating storage space and determining energy consumption is proposed. The energy balance of the warehouse variants includes energy for material handling equipment operation, energy consumption for building maintenance (heating, cooling, lighting, etc.), and energy generated by the photovoltaic system on the roof. Then, the operational costs of the variants are estimated and, on their basis, an automation index is determined. The index allows for a comparative analysis of energy consumption and the mechanization and automation of a warehouse. It is shown that a significant part of the energy is spent on maintaining a warehouse building, especially in the case of facilities with a low degree of automation.

scholarly journals Domestic hot water optimizing potential in existing or renovated multifamily residential buildings

2021 ◽  
Vol 2042 (1) ◽  
pp. 012144
Author(s):  
Flourentzos Flourentzou ◽  
Joshua Pereira
Keyword(s):  
Energy Consumption ◽  
Water Consumption ◽  
Energy Savings ◽  
Storage Temperature ◽  
Residential Buildings ◽  
Hot Water ◽  
Solar Panels ◽  
Reduction Of Energy Consumption ◽  
Actual Energy Consumption

Abstract In a Swiss case study of the ReCO2st research project, hot water optimization demonstrated a high potential for energy savings with low investment costs. The optimization started with the end user to reduce first hot water consumption. Energy-efficient showerheads and faucets reduced hot water consumption by 10 to 25%, notably from 65.2 [l/p.day] to 48 [l/p.day] for the period of September to October 2019. A multi-criteria selection of showerheads involved end users considering other qualitative aspects like rinsing efficiency, overall feel of use, noise, and material robustness. Strict control of pipe and storing tank insulation reduced storage and distribution losses. Day and night storage temperature setpoints, water recirculation time, switching off this process after 11:00 p.m., temperature differential of start and stop loading setpoints, creating long loading cycles, ensure that the pipes are not always hot. Reducing Legionella cycles at 60° to once a day avoided the need for continuous high temperatures. The combination of all these soft measures in the Swiss case study resulted in a reduction of energy consumption for hot water of 20-30%. This is equivalent to the installation of expensive solar panels for hot water. A detailed two-year monitoring of the building's hot water consumption shows the contribution of each optimization measure. The encouraging results show that without perfect control of the entire process, it is impossible to avoid a performance gap between planned and actual energy consumption.

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