Consumption Planning Research Articles

Information support for the procedure of power consumption planning in the municipal water supply system

The article deals with the issue of determining theenergy baseline of municipal water supply facilities, taking intoconsideration their actual operation conditions. The purpose ofthe article is to develop the principles of organization ofinformation support for the procedures of power consumptionplanning and their integration into the energy managementsystem. The formalization of the power consumption planningprocess has been performed based on the object-orientedtechnology. Classes that take into account the characteristics ofthe facility, water consumption, methods of planning watersupply and power consumption have been formed. Description ofthe properties and methods of the classes has been accomplished.The architecture of the information support system for planningprocedures has been proposed. WEB-oriented technologies hasbeen suggested to use for information exchange. This allowscreating a single information space, taking into consideration theactual operation conditions of the research object.

Information and communication technologies as a factor of innovative development of agricultural enterprises

Purpose. The aim of the article is to study the theoretical bases and modern applied aspects of the use of information and communication technologies (ICT) in the practical activity of enterprises of agro-industrial business. Methodology of research. The theoretical and methodological basis of the study is the basic principles of economic theory and scientific development of scientists. The following methods are used in the course of the study: retrospective (analysis of economic efficiency, profitability of agricultural production in the regions of the country); monograph (coverage of statistical reporting indicators on the use of ICT in manufacturing in Ukraine); abstract and logical (theoretical generalizations and formation of conclusions, literary sources) and others. Findings. There is a clear tendency for the widespread use of ICT in the industries of the national economies of the advanced countries of the world, which contributes to the innovative development of production and a significant increase in profitability (up to 95%) in the enterprises of the processing industry and agro-industrial business. It is revealed that the use of ICT in Ukrainian enterprises is still at a low level and the main reason for this is the poor financial status of enterprises and insufficient state support. The use of ICT has been found to significantly accelerate soil analysis, determine the need and exact dosage of fertilizers, use of biological to control weeds and pests and other crop operations, which can double the crop yield. It is proved that the introduction of ICT in agro-industrial enterprises will accelerate the innovative development of the agro-industrial economy, increase the competitiveness of industries and enterprises in the market environment. Originality. A model of ICT management of making decision is proposed, which involves the availability of hardware (computers, smartphones, or iPhones and their software); Internet connection and availability of broadband access and Internet technology (social networks, website creation), through which you can actively promote your product, business, negotiate with suppliers and buyers, conduct sales and purchase operations. With the help of space technology and artificial intelligence, you can fully automate all production processes in plant and animal husbandry, eliminate the risks associated with human factors in all production processes, carry out effective planning, accounting, analysis and control of resource consumption at the enterprise, as well as take balanced management decisions. Practical value. The proposed scientific, methodological and practical developments make it possible to formulate a strategy for the effective development of ICT, which will facilitate the innovative development of agro-industrial business in a competitive environment. Key words: information and communication technologies; digitalization of agro-industrial enterprises; innovations; development strategy; efficiency; profitability; competition; agro-industrial business.

I was truly addicted to sugar: A consumer-focused classification system of behaviour change strategies for sugar reduction

The reduction of free sugars has been identified as a priority issue internationally. A range of public health initiatives have been recommended, including the provision of information and support for sugar reduction. To inform these approaches, it is important to know what people actually do in real world settings to reduce their consumption. This study documents and defines the range of consumer-based behaviour change strategies for sugar reduction. A total of 1145 strategies were extracted from 47 internet sources (i.e., consumer, popular and professional). Using a pragmatic content analysis, hundreds of strategies were organized into 25 discrete categories of strategies. Categories were grouped into the Rubicon Model of Action Phases and classified as pre-decisional (i.e., decisional balance, feedback, realisation, seek knowledge and information), post-decisional (i.e., action planning, coping planning, set goal intention, sugar guidelines) and actional phase. Actional strategies were the most prolific and included avoidance, consumption control, consumption planning, environmental restructuring, healthy eating focus, maintain readiness, professional support, refocusing, self-monitoring, social support, substance substitution, tapering, address underlying issues, urge management, well-being and withdrawal management. There was one post-actional strategy which was associated with self-evaluation (i.e., reviewing a change attempt in order to plan for the future). Four categories of strategies differed according to the source. Substance substitution was substantially less frequently discussed by consumers than professionals and few professional sites acknowledged or advised strategies to manage the struggle of maintaining readiness following a change attempt. Hundreds of individual strategies are discussed or promoted in online settings, and more information is needed on the effectiveness of these self-initiated approaches.

Enterprise Architecture as an Instrument for the Purposes of the Investment Project

Investment design is one of the most important ways of efficient resources consumption planning and decision-making by the market actor. The theory of enterprise management is changing greatly under the influence of the surrounding realities. This format can undergo significant changes with the appearance of the digital economy and its development within the framework of the enterprise architecture approach. The article considers the essence of the enterprise architecture and explains its content using the developed methods and templates. It also deals with their differences between each other in the order of their forms development, clarifying the main change. At the end of the article, the authors discuss, how exactly market actors can apply enterprise architecture depending on the chosen architect’s role. It also explains its main limitations as of an instrument. The authors draw a conclusion as far as its application is concerned.

Reducing Alcohol Consumption Among Risky Drinkers in the General Population of Sweden Using an Interactive Mobile Health Intervention: Protocol for a Randomized Controlled Trial.

BackgroundHarmful use of alcohol continues to be a leading contributor to premature deaths globally. Not only does harmful drinking have consequences for the individuals consuming at increased levels, but it may also result in a range of negative consequences for their family members and friends. Interventions delivered via mobile phones (mobile health [mHealth] interventions) could potentially support risky drinkers seeking help to reduce their alcohol consumption.ObjectiveThis protocol describes a randomized controlled trial that aims to validly estimate the effect of a novel mHealth intervention targeting risky drinkers in the general population of Sweden. Nested within the trial are 3 substudies that focus on methodological and user satisfaction research questions.MethodsA 2-arm parallel group randomized controlled trial will be employed to estimate the effect of the novel intervention. Participants will be recruited through Web advertisements and social media. The inclusion criteria are as follows: 18 years or older, ownership of a mobile phone, and being classified as a risky drinker according to Swedish guidelines. Participants allocated to the intervention group will receive a novel mHealth intervention. The intervention consists of weekly screening, personalized feedback on current consumption, functions allowing for planning of future consumption, as well as a series of messages delivered throughout the week. Participants allocated to the control group will receive a short message regarding negative consequences of alcohol consumption and a hyperlink that offers more information. Following 2 and 4 months after randomization, both groups will be asked to complete follow-up questionnaires (2-month interval being primary). Primary outcomes are weekly alcohol consumption and heavy episodic drinking. Participants in the control group will be given access to the novel intervention after completing the 4-month follow-up. The trial includes 3 substudies: We will explore whether the mode of presenting information before participants giving informed consent affects participation rates and recall of trial parameters, investigate if the content of the short message received by the control group affects study outcomes and requests for more information, and explore user satisfaction with the intervention and reactions of the control group.ResultsParticipant recruitment is planned to begin in April 2019 and to last for a maximum of 24 months. The first dataset will be available approximately 2 months after the final participant has been recruited, and the final dataset will be available approximately 2 months later. No participants had been recruited at the time of submitting this protocol.ConclusionsIf found effective, the intervention has the potential to reduce negative consequences of alcohol consumption for individuals. The technology has been designed to have potential for extensive reach among those who may benefit.Trial RegistrationISRCTN Registry ISRCTN48317451; http://www.isrctn.com/ISRCTN48317451 (Archived by WebCite at http://www.webcitation.org/779tKLsu3)International Registered Report Identifier (IRRID)PRR1-10.2196/13119

Salient Aspects of the Implementation of Digital Economics in Glass Plants in Russia

Aspects of the digitization of the economics of glass production are examined. The effect of digitization on the appearance of new and change an existing business models is shown. Owing to the modernization of glass production on the basis of Industry 4.0 technology it is possible to optimize and automate the basic production and control processes of a business, increase equipment utilization efficiency, and improve the planning of raw-materials consumption and finished-goods production schedules.

Transport Economics and Sustainable Development in Ukraine

The contemporary development of transport systems is characterized by an ecological, technical, social and economic contradictions. An acceptable global solution can be obtained by matching relevant criteria. This paper provides a synthesis of economic and organizational peculiarities on sustainable development to transport internationally, it reviews recent trends in this respect and applies international trends to Ukraine. Authors concluded that environmental pollution effects connected with transport system’s development providing additional costs in different spheres of society that gives the opportunity to assert on necessity of integration the research outcomes on green mobility in applied activity. This article summarizes the implemented transport project examples and analyzed their role in realizing sustainable development principles. The authors proved that all creating programs and projects in transport should be based on such interconnected principles: transport planning and localization of production and consumption; transition to more environmentally efficient transport; improving the technology and fuel. In addition it was suggested to include the transport greening principles in criteria’s of economic efficiency in transport. The strategies to reorient the Ukrainian transport industry towards resource-saving approaches are formulated. Substantiated that applying energy-efficient approaches in transport will result in socio-ecological and economic benefits, including ecological, social, public health, transport and urban components. The authors analyzed advantages and disadvantages of different kind of modern transport vehicles in the context of sustainable development principles realization that allows understanding which economic sectors and entrepreneurs should be involved in the process of transport greening creating the basis for public, private and foreign investment attraction. Keywords: transport system, sustainable development, transport greening promotion, effectiveness, benefits

Study of the forecasting problem of energy consumption of water pumping station

The article describes the study of the energy consumption forecasting of city water pumping station. The review of the existing approaches for technical systems energy consumption forecasting is made. The shot description of the studied object properties including hourly energy consumption is presented. Two often used forecasting methods exponential smoothing and the autoregression of the integrated moving average methods was tested on real data. The results of predict calculations shows that the autoregression of the integrated moving average methods is suitable for energy consumption planning and can be used to submit an hourly bid for the required amount of the electricity in the wholesale market. Directions for future research is also presented.

Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

Buildings account for 35% of the global final energy demand. Efficiency improvements and advanced control strategies have a significant impact in the reduction of energy costs and CO2 emissions. Building energy simulation is widely used to help planners, contractors, and building owners analyse diverse options regarding the planning and management of energy consumption in buildings. Furthermore, recent advances in data processing and computing have led to the development of sophisticated machine learning algorithms that can learn from large datasets, e.g., sensor data from buildings, and use them to develop building-specific adaptive and automatic energy controllers. Control algorithms, such as deep reinforcement learning can tune themselves, are model-free, and economical to implement. In this paper, we introduce an integrated simulation environment that combines CitySim, a fast building energy simulator, and TensorFlow, a platform for efficient implementation of advanced machine learning algorithms. The integration is achieved via Keras—an API for TensorFlow—and a set of text and csv files for data transfer between the applications. This new environment will allow researchers to investigate novel learning control algorithms, and demonstrate their robustness and potential for diverse applications in the built environment. We present two case studies for energy savings and demand response, respectively.

ANALYSIS OF ELEC SIS OF ELECTRICITY CONSUMPTION RA Y CONSUMPTION RATIONING A TIONING AT ENTERPRISES FERROUS METALLURGY

Electricity consumption regulation is the primary technical basis for energy consumption planning. Electricity consumption is regulated in the form of specific electricity consumption per unit of production or per unit of work performed. Specific energy consumption rate is understood as the consumption of electricity necessary and sufficient to produce a unit of production or to perform a unit of work in the planned conditions of production and operation. Electricity saving takes place if its actual specific consumption is comparable with progressive norms developed on the basis of introduction of new equipment and technology into production, rational operation of technological equipment and electrical installations. One of the main directions of improvement of rationing is the choice of rationing structure taking into account the objective assessment of actual energy resources saving. The article shows the rationing of electricity consumption in the production of finished products at the enterprises of ferrous metallurgy, in particular, at the electric steelmaking industry. The results of the analysis of the state of electricity consumption rationing in the ferrous metallurgy industry are given. The developed multilevel structure of electricity consumption rationing based on the results of the study, which gives the prospects of determining the possibility of energy saving at the object under consideration, is described.

AN INTELLIGENT RTP-BASED HOUSEHOLD ELECTRICITY SCHEDULING BY A GENETIC ALGORITHM IN SMART GRID

Electricity scheduling for households based on real-time pricing (RTP) allows flexible and efficient consumption planning. However, this creates errors in predicted costs. Therefore this study used a genetic algorithm (GA) to reduce the error in predicted costs and suggested a model that offered better consumption planning. This model comprises a provider that supplies electricity and a subscriber that consumes electricity. Each subscriber has an energy management controller (EMC) that selects the optimal electricity scheduling. The provider and subscriber exchange real-time predicted costs and consumption plans to achieve an appropriate balance. During this process, the aforementioned prediction error — i.e., the difference between the predicted cost for each time slot and the final actual cost — occurs. This was addressed in this study using a GA. As a result, the presented model produced consumption plans with costs that were 22.60 per cent lower than the non-scheduled case, and 3.34 per cent lower than the model from a previous study. Furthermore, the fairness for each subscriber was improved by 15.96 per cent compared with the non-scheduled case, and by 0.62 per cent compared with the previous study model.

Software and Dataware for Energy Generation and Consumption Analysis System of Gas Processing Enterprises

The article presents the architecture and content of a specialized analytical system for monitoring operational conditions, planning of consumption and generation of energy resources, long-term planning of production activities and development of a strategy for the development of the energy complex of gas processing enterprises. A compositional model of structured data on the equipment of the main systems of the power complex is proposed. The correctness of the use of software modules and the database of the analytical system is confirmed by comparing the results of measurements on the equipment of the electric power system and simulation at the operating gas processing plant. A high accuracy in the planning of consumption of fuel and energy resources has been achieved (the error does not exceed 1%). Information and program modules of the analytical system allow us to develop a strategy for improving the energy complex in the face of changing technological topology and partial uncertainty of economic factors.

Modeling of the functioning of territorial systems with the purpose of identification of problem situations

The purposeful territorial system (country, region), containing production, consumption, management, and environmental spheres is considered. In the process of system functioning, problem situations arise. The method for modeling the functioning of a territorial system by a complex of interacting linear programming problems, reflecting the inextricable link between the mechanism of centralized planning of production and consumption of goods, resources and the mechanism of market pricing is developed. The dependence of system characteristics of the cyclical dynamics on spectral properties of the generalized technological matrices of circulation of goods and resources is proved. The obtained results are relevant for modern Ukraine, other transitional national economies, characterized by an increased occurrence of problem situations. In this case, the territorial system can come very close to the bifurcation point, in which an alternative to further development arises. The choice of any alternative immerses the territorial system in the transition period. To identify problem situations, it is proposed to form the generalized technological matrixes of circulation of goods and resources on the basis of reporting data, to determine their majorizing roots that characterize the structural stability of the system. It is shown that the right and left eigenvectors found, corresponding to the majorizing matrix roots, determine the effective structures of supply of goods, resources and market prices for them. The system of informative features that determine the deviations of the actual characteristics of the territorial system from efficient ones is constructed. The proposed system of features makes it possible to detect national economic disparities that give rise to problem situations. Classes of problem situations are distinguished. The class contains problem situations for which the overall technology for their resolution is effective. This allowed assigning a standard case to each class that sets the reference problem situation and the way to resolve it (using an adequate pricing technology, adjusting the structure of the minimum needs of the population, the structure of available resources, forming the main properties of the system). The obtained results can serve as a platform for creating the information technology of detection and identification of problem situations, which implements the case-based reasoning technology.

Integrated approach to the planning of energy consumption by non-traction railway consumers

Non-traction railway load consumes a significant amount of electricity. Russian Railways supplies electricity not only to its structural units but also to other consumers. Private houses, individual entrepreneurs and small production facilities located near the railway are powered by the RZD. It is very important for the company to plan consumption for non- traction needs. The subject of the study in the paper is a systematic approach to the planning of power consumption using the mathematical apparatus of artificial neural networks, correlation analysis and the method of expert assessments. The method of expert assessments allows identifying the most significant factors that affect the consumption of electricity. It is necessary to attract experienced professionals in the field of electricity, working at a particular enterprise. They are able to determine with a high degree of accuracy those factors that have a significant impact on the consumption of the organization. Correlation analysis allows you to mathematically check the degree of influence of a single factor on the resulting value. The apparatus of artificial neural networks allows building a forecast of power consumption, taking into account the influence of external factors. The authors propose to use a systematic approach to the planning of power consumption. It is necessary to combine three tools: the method of expert assessments, correlation analysis and artificial neural networks. The combination of these tools will improve the accuracy of power consumption planning and, as a result, will lead to increased economic efficiency due to the rational consumption of electricity.

Model-based calculations of surface mass balance of mountain glaciers for the purpose of water consumption planning: focus on Djankuat Glacier (Central Caucasus)

Mountain glaciers act as regulators of run-off in the summer period, which is very crucial for economy especially in dynamically developing regions with rapidly growing population, such as Central Asia or the Northern Caucasus in Russia. In overall, glaciers stabilize water consumption in comparatively arid areas and provide conditions for sustainable development of the economy in mountainous regions and in the surrounding territories. A proper prediction of the glacial run-off is required to elaborate strategies of the regional development. This goal can be achieved by implementation of mathematical modeling methods into planning methodologies. In the paper, we consider one of the first steps in glacier dynamical modeling – surface mass balance simulation. We focus on the Djankuat Glacier in the Central Caucasus, where regular observations have been conducted during the last fifty years providing an exceptional opportunity to calibrate and to validate a mathematical model.

ENERGY BASELINE CONSTRUCTION PROCEDURE OF WATER SUPPLY FACILITIES WITH TAKING INTO CONSIDERATION THE EXTERNAL FACTORS EFFECT

he article deals with the improvement tasks of power consumption model construction procedure of water supply facilities as a part of energy planning stage in energy management system. Interconnection of power consumption planning task with daily water consumption to which influence climatic and social factors have been substantiated. Search of similarities in daily graphs of water consumption from the network using cluster analysis, which is done in two stages, has been proposed to realize for taking into consideration of their influence. For this based on parameters of description the daily graphs have been formed two sets of informative classification characteristics. Classical indicators of irregularity graphs description have been used to identify the influence of seasonality. Morphometric parameters have been used to detect the influence of social factors. Formed clusters reflect the seasons influence and the water consumption specificity during working and weekend (holiday) days. It allows defining the period for collecting data on values of input variables that influence over the power consumption, and the actual power consumption. Procedure of determining the average value of daily water consumption and limits of its change for each cluster has been proposed for taking into consideration of seasonality influence. The power consumption model has been presented by equation multifactor regression with taking into consideration of characteristics that indicate to accordance of the day to the season and to the character of the day. Field of model use is limited by change of seasonal water consumption and the day type that defines the operation mode of pumping units and its parameters. Using the proposed principles allows taking into consideration the water supply mode parameters that are previously planned for this day. It also allows getting power consumption model that is differential to season and day of the week, and perform energy baseline construction for a specific period (day).

Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers

Global positioning system (GPS) has undergone intensive development, starting as an advanced specialized tool to a general-purpose gadget used in our daily lives. GPS exists in new technologies, applications, and consumer products, especially in smartphones and tablets. In a GPS receiver design, power consumption and localization accuracy are critical factors that affect the outcome of a GPS receiver system. Theoretically, increasing the number of required tracking channels in a GPS baseband receiver increases the design complexity and size of this system. Thus, power consumption can significantly increase. The receiver should acquire and track numerous satellites to improve the location accuracy of a position, thereby indicating that the receiver requires a high number of tracking channels. Thus, optimizing these tracking channels to balance the conflict among performance parameters is a difficult and challenging task. This paper presents a technique for order performance by similarity to ideal solution (TOPSIS) for solving complex situations for multi-criteria optimization of the tracking channels of GPS baseband telecommunication receiver. Nine operation modes of GPS receiver were evaluated by each design parameter, such as power consumption, localization accuracy, and time with no position available for static and dynamic positioning. Then, the TOPSIS was utilized and implemented to measure and rank the overall performance of tracking channel selection. Results of this study indicate that (1) multi-objective optimization is a reliable strategy for visualizing the trade-off among the GPS design parameters and providing a dynamic power consumption planning. (2) The best aggregated performance of the GPS receiver occurs when the number of tracking channels equals five and six for static and dynamic positioning, respectively. (3) The most frequent number of available satellites is eight, whereas the other number of satellites is a rare case to acquire. However, GPS standards require that available GPS satellites are constantly 12 at any time and place.

Urban Land Regulation and the Global Carbon Cycle: Its Ecological and Economic Effects

Coordinating the relationship between economic development and environmental protection has emerged as a relevant issue in the economic and social development of China under the pressure of global climate change and international carbon emission reduction. Based on this, starting from the model of traffic structure and land use, land use planning for low carbon cities abroad was studied in this paper. Based on the analysis of urban ecological economic carbon cycle and its land regulation mechanism, the evaluation method of urban land use carbon effect was put forward. Taking the carbon circulation as the premise, starting from the layout characteristics of the urban land use factors, land use planning for urban residential, transportation, industrial and green land was optimized. Taking million springs Music City in Hainan as the example, the ecological planning layout was analyzed. And the planning was carried out from the aspects of spatial pattern, low carbon economy industry, green traffic, flood prevention and green landscape, etc. Urban carbon balance was realized. The results show that the carbon circulation and carbon consumption planning and management of the urban eco economic system based on land use structure optimization are conducive to promoting the development of urban low-carbon economy.

Electricity Consumption in Botswana:the Role of Financial Development, Industrialisation and Urbanization

AbstractBotswana’s electricity supply is overwhelmed by the growing energy demands with the peak electric power deficits being met through imports. This study seeks to understand the key drivers of this increasing electricity demand. Using the Autoregressive Distributed Lag (ARDL) bounds testing and Error Correction Model (ECM), it examines the role played by financial development, industrialisation and urbanization in Botswana’s energy (or more specifically electricity)-growth nexus between 1981 and 2011. The findings reveal that economic growth, financial development and industrialization positively affect electricity consumption in the short-run and long-run. However, urbanization increases electricity consumption only in the long-term. These finding not only support conservation hypothesis but also imply that policy-makers should take into account the increase in electricity demand arising from financial development, urbanization and industrialisation in energy (electricity) consumption planning in the economy to avoid energy crisis. In addition, policy-makers should search and invests in renewable energy sources such as solar to increase access to cheap energy source.

City Water Demand Forecasting Based on Improved BP Neural Network

City water demand forecasting is of great significance in reducing the cost of electricity consumption and municipal planning. Back-propagation (BP) neural network has been widely adopted in water demand forecasting in recent years. But BP performs unsatisfactorily in terms of training time and global searching ability, so in this paper we improve BP by two heuristic algorithms, namely, genetic algorithm (GA) and particle swarm optimization (PSO), respectively. The testing and verification of the three algorithms (BP, GA+BP, PSO+BP) have been conducted on real-life water demand forecasting of Beijing city. The obtained results demonstrate that, in spite of the execution time consumed, both GA+BP and PSO+BP performed with higher accuracy and less errors than BP. The obtained results also illustrate that PSO+BP slightly outperformed GA+BP in terms of forecasting accuracy.