Design and simulation of a rooftop PV System in Taylor’s University Lakeside Campus

Solar photovoltaic (PV) system is proven to be a future-proof type of power generation for growing economies. There are almost zero pollutants released, low maintenance cost with high reliability as the lifespan of a solar PV stretches up to 30 years, a well-sought alternative form of sustainable energy. Moreover, the electricity consumption in Taylor’s University (TU), Malaysia is very high, as a consequence, a huge fraction of the fund is used to settle an RM450,000 electricity bill on average annually. In this paper, the study focused on how to reduce electricity consumption in TU by proposing a design of a comprehensive solar PV system. PVSYST and Sketchup software are used to design and analyze the PV system. In the present study, a Grid-Connected Photovoltaic (GCPV) mounted on the available roof space of TU is investigated. Also, a detailed economic analysis that includes the payback period and annual savings achieved through the proposed PV installation is analyzed. Annual savings of RM 267,621.00 can be made upon utilizing the proposed idea. Besides that, TU would be able to recover the initial investment cost in approximately 8 years of payback period, proving that the implementation of a 433kWp of solar PV unit is a smart option to address the sustainable energy goals.

Dynamic Autonomous Identification and Intelligent Lighting of Moving Objects with Discomfort Glare Limitation

The importance of reducing discomfort glare during the dynamic development of high luminance LEDs is growing fast. Smart control systems also offer great opportunities to reduce electricity consumption for lighting purposes. Currently, dynamic “intelligent” lighting systems are a rapidly developing field. These systems, consisting of cameras and lighting units, such as moving heads or multimedia projectors, are powerful tools that provide a lot of opportunities. The aim of this research is to demonstrate the possibilities of using the projection light in dynamic lighting systems that enable the reduction of discomfort glare and the light pollution phenomenon. The proposed system allows darkening or reducing the luminance of some sensitive zones, such as the eyes or the head, in real-time. This paper explores the development of the markerless object tracking system. The precise identification of the position and geometry of objects and the human figure is used for dynamic lighting and mapping with any graphic content. Time measurements for downloading the depth maps, as well as for identifying the human body’s position and pose, have been performed. The analyses of the image transformation times have been carried out in relation to the resolution of the images displayed by the projector. The total computation time related to object detection and image display translates directly into the precision of fitting the projection image to a moving object and has been shown.

Unleashing analytics to reduce electricity consumption using incremental clustering algorithm

Purpose To reduce the electricity consumption in our homes, a first step is to make the user aware of it. Reading a meter once in a month is not enough, instead, it requires real-time meter reading. Smart electricity meter (SEM) is capable of providing a quick and exact meter reading in real-time at regular time intervals. SEM generates a considerable amount of household electricity consumption data in an incremental manner. However, such data has embedded load patterns and hidden information to extract and learn consumer behavior. The extracted load patterns from data clustering should be updated because consumer behaviors may be changed over time. The purpose of this study is to update the new clustering results based on the old data rather than to re-cluster all of the data from scratch. Design/methodology/approach This paper proposes an incremental clustering with nearness factor (ICNF) algorithm to update load patterns without overall daily load curve clustering. Findings Extensive experiments are implemented on real-world SEM data of Irish Social Science Data Archive (Ireland) data set. The results are evaluated by both accuracy measures and clustering validity indices, which indicate that proposed method is useful for using the enormous amount of smart meter data to understand customers’ electricity consumption behaviors. Originality/value ICNF can provide an efficient response for electricity consumption patterns analysis to end consumers via SEMs.

The Use of Renewable Energy Sources in a Road Lane on the Example of the Network of National Roads and Highways in Poland

The deteriorating condition of the environment and the increasing emission of pollutants into the atmosphere intensify the greenhouse effect. Energy production in power plants results in emissions that affect the increase of global temperatures. According to the Research Institute for Global Climate Change in Berlin there are just over 7 years to cross the critical point, which will start chain reactions associated with irreversible changes in the climate. In order to reduce the climate changes, exhaust emissions must be reduced. One of the steps is to reduce electricity consumption. In the case of roads, electricity is most related to the technical infrastructure. First steps has been taken to reduce the demand for electricity by using lighting systems equipped in the energy saving solutions. The next step should be to use renewable energy sources. There are many solutions to generate electricity that can be used directly on roads or nearby. There are many sides in the area of the road junction that can be used for producing energy. The authors, based on a review of the literature and the first usage of energy generating devices, describe the possibilities of obtaining energy and indicate the devices with their classification.

Nudging down household electricity usage during peak hours with small monetary rewards

Two recent studies highlight the potential of a demand response (DR) program as a tool to manage peak-hour electricity consumption by households. Households in these studies respond to the offer of financial rewards or an appeal to the sense of civic duty and significantly reduce electricity consumption during declared peak hours. Due to the small number of peak events included in these studies, however, a question remains whether households will continue to respond to repeated calls to action over a long span of time. We analyze a demand response program of Gangwon Province, South Korea, called “Electricity Piggy Bank” where the incentive offered was in the form of small monetary reward together with an appeal to social consciousness. The program tracked the electricity usage of about 2,000 households over one-year period during which peak events were declared once a week. We find significant reduction in electricity usage during declared peak hours and, more importantly, no decay of effects over time. The magnitude of electricity savings during peak hours is no less than the one reported for the previous financial-incentive-based DR, suggesting that offering small monetary rewards together with pro-social stimuli can be a viable alternative to a financial-reward-oriented scheme.

Pemanfaatan Tenaga Surya Pada Photovoltaic Jenis Polycristaline Untuk Catu Daya Tanaman Hidroponik

The use of solar energy today as an alternative energy source continues to be used not only in large scale but also utilized on small scale. The use of solar power as a renewable energy source by converting solar energy into electrical energy, utilizing this technology one of them on technology using hydroponic plant systems. In hydroponic pump system used to consume water and nutrients are usually sourced electricity PLN. With the availability of abundant energy sources certainly help reduce electricity consumption from PLN. The design is done on this research by utilizing solar energy as a power supply to turn on the pumps as well as to drain water and plant nutrients running well. The burden used in this study was 20Watt, to supply the load needs of a PLTS fitted with polycristaline type. The highest irradiation at 12.00 is 666 W/M2 which means that at that time the energy is generated maximally. In the design used with the battery capacity using the VRLA Deep Cycle JS12-12 battery type; 12V 12Ah generated and stored electrical energy can turn the 5-6 hour pump on.

Heat pump systems: A mini review

In this work, a mini review of heat pumps is presented. The work is intended to introduce a technology that can be used to income energy from the natural environment and thus reduce electricity consumption for heating and cooling. A heat pump is a mechanical device that transfers heat from one environmental compartment to another, typically against a temperature gradient (i.e. from cool to hot). In order to do this, an energy input is required: this may be mechanical, electrical or thermal energy. In most modern heat pumps, electrical energy powers a compressor, which drives a compression - expansion cycle of refrigerant fluid between two heat exchanges: a cold evaporator and a warm condenser. The efficiency or coefficient of performance (COP), of a heat pump is defined as the thermal output divided by the primary energy (electricity) input. The COP decreases as the temperature difference between the cool heat source and the warm heat sink increases. An efficient ground source heat pump (GSHP) may achieve a COP of around 4. Heat pumps are ideal for exploiting low-temperature environmental heat sources: the air, surface waters or the ground. They can deliver significant environmental (CO2) and cost savings.

Development and Validation of Building Control Algorithm Energy Management

In this paper, a building control algorithm is proposed to reduce the electricity consumption of a building with a variable refrigerant flow (VRF) system. The algorithm uses sequence-to-sequence long short-term memory (seq2seq LSTM) to set target electricity consumption, and uses a VRF air conditioner system to reduce electricity consumption. After setting target electricity consumption, the algorithm is applied as a method of updating target electricity consumption. In addition, we propose two methods to increase the performance of the seq2seq LSTM model. First, among the feature selection methods, random forest is used to select, among the numerous features of the data, only those features that are most relevant to the predicted value. Second, we use Bayesian optimization, which selects the optimal hyperparameter that shows the best model performance. In order to control the air conditioners, the priority of air conditioners is designated, the method of prioritization being the analytical hierarchy process (AHP). In this study, comparison of the performance of seq2seq LSTM model with and without Bayesian optimization proved that the use of Bayesian optimization achieved good performance. Simulation and demonstration experiments using the algorithm were also conducted, and showed that building electricity consumption decreased in a similar manner to the reduction rate by means of the algorithm.

ДОСЛІДЖЕННЯ ТЕМПЕРАТУРНИХ РЕЖИМІВ В ПРИСТРОЯХ ЕЛЕКТРОПОБУТОВОЇ ТЕХНІКИ

The aim of the work is to improve the work of hair styling devices, which is aimed at increasing the efficiency of hair styling under the action of sufficiently high temperatures with the least damage to it. To achieve this goal, the following tasks were solved: the relationship between the physical properties of hair and temperature regimes of curling was analyzed; experimentally investigated the distribution of curling temperature during heating and cooling; the distribution of the temperature of the curling iron when heated with dry hair and with moist hair was experimentally studied. Methodology. The methods of mathematical modeling, methods of mathematical physics, methods of experimental researches with processing of results of experiment by means of a modern software product and computer equipment are used in the work. Findings. Analytical and experimental studies have shown the need for a uniform temperature field on the surface of the work surface to achieve the desired result. The necessity of temperature regulation in devices for work with hair is proven. Originality. The possibility of using the installation for experimental evaluation of temperature control in devices for working with hair is substantiated, which will significantly increase the time of continuous operation of the device and reduce electricity consumption. Practical value. A stand for research and analysis of different temperature regimes of electrical appliances has been developed. The thermostat circuit for temperature control in devices for work with hair is applied. It has been proven that you need to choose the temperature in relation to the condition and type of hair, so as not to cause great harm. Due to its small size, economic and technical indicators, this stand is easy to use when studying the temperature conditions in devices for working with hair in the work space, which contributes to more modern and demonstrative training. It is proposed to use the two-position law of temperature regulation for the surfaces of the working bodies.

Demand Response as a Real-Time, Physical Hedge for Retail Electricity Providers: The Electric Reliability Council of Texas Market Case Study

Residential demand response (DR) programs are generally administered through an electricity distribution utility, or an electric grid operator. These programs typically reduce electricity consumption by inducing behavioral changes in the occupants of participating households. We propose implementing a wholesale-price-sensitive residential DR program through the retail electricity provider (REP), who has more naturally aligned incentives to avoid high wholesale electricity prices and maintain customer satisfaction, as compared to distribution utilities, grid operators, and the average residential consumer. Retail electricity providers who serve residential consumers are exposed to substantial price risk as they generally have a portion of their portfolio exposed to variable real-time wholesale electricity prices, despite charging their residential customers a fixed retail electricity price. Using Monte Carlo simulations, we demonstrate that demand response, executed through internet-connected thermostats, to shift real-time residential HVAC load in response to real-time prices, can be used as an effective physical hedge, which is both less costly and more effective than relying solely on financial hedging mechanisms. We find that on average a REP can avoid USD 62.07 annually per household using a load-shifting program. Given that REPs operate in a low margin industry, an annual avoided cost of this magnitude is not trivial.