Industrial Energy Management Research Articles

Применение методологии бизнес-процессов для управления энергосбережением на промышленных предприятиях

Применение методологии бизнес-процессов для управления энергосбережением на промышленных предприятиях

A dynamic model for the energy management of microgrid-enabled production systems

In recent years, industrial facilities are devoting ever greater attention to the importance of energy in their operations. It directly supports the challenges of high availability, quality excellence, and compliance with ever more ambitious sustainability targets. Such objectives are often beyond the scope of local electric utilities, and so this work, instead, considers microgrid-enabled production systems. In such a case, the production enterprise is motivated to in-source its energy supply so as to tailor its management and delivery to the needs of its production system. The introduction of microgrids to a production system setting opens several new industrial energy management activities. Here, the microgrid's dynamic power balancing activities in the operations time scale are of greatest importance. The power supply, which may potentially be variable, must be matched to the industrial loads which are a byproduct of production activities. Therefore, this article seeks to develop a Dynamic Energy Management Model for Microgrid-Enabled Production Systems. The model is based on a hetero-functional graph theory rooted in the Axiomatic Design for Large Flexible Engineering Systems and timed Petri nets. The static stability of the microgrid is analyzed using power flow analysis. The resulting model is applied to an illustrative example in which a multi-resource production system is coupled to a microgrid with several types of power generation. The outcomes of the example show that the variable electricity demand imposed by production activities is ill accommodated by renewable energy sources alone. Consequently, the stability of the microgrid is maintained by a dispatchable generator. This holistic model, therefore, includes the impact of the production schedule on greenhouse gas emissions.

Guideline for energy management in the South African wine industry

Pressure is mounting on the wine industry to consider energy management interventions to, inter alia, reduce energy consumption – to be more competitive, become more self-reliant, and to reduce the carbon footprint of the sector. This paper then summarises the process that was undertaken to develop an appropriate energy management guideline for the South African wine industry. It is based on a literature analysis of best practices elsewhere, and a number of case studies across different sizes of winery operations in South Africa. The positive outcomes from energy management interventions at these cases are demonstrated, but a number of challenges are also highlighted. Recommendations are made accordingly.

An energy management approach for the mechanical manufacturing industry through developing a multi-objective energy benchmark

Energy benchmark has been recognized as an effective analysis methodology and management tool of the energy usage. With wide distribution and large energy consumption in low efficiency, mechanical manufacturing industry possesses considerable energy-saving potential. However, there are few effective methods available for developing an energy benchmark in the mechanical manufacturing industry due to complexity and variety of energy-consumption processes resulting in the waste of massive energy. To achieve energy management and energy-efficient improvement in the mechanical manufacturing industry, this paper proposes a novel method for developing a multi-objective energy benchmark based on the energy consumption forecast and integrated assessment. Energy consumption databases, as an important part of the energy benchmark, are established to provide long-term use after establishment. Meanwhile, an energy consumption model of the whole production processes is built laying the foundation of the energy acquirement. The multi-objective energy benchmark could be determined through integrated assessment method of TOPSIS synthetically considering the real production requirements. In addition, the case study shows the practicability of the energy benchmark method for energy management and a potential energy saving of 21.3%.

THE NEED FOR A COMPREHENSIVE ENERGY MANAGEMENT INFORMATION SYSTEM FOR INDUSTRIES

Electricity costs in South Africa are increasing rapidly, and the funding hurdle rates for energy conservation incentives are decreasing. Therefore, with rising international competition and increasing operational costs, marginal industries need to focus on energy management strategies where larger savings can be achieved with lower capital expenditure. This paper sketches the need for a comprehensive energy management information system (EMIS). Common industrial energy management pitfalls are identified and energy conservation incentives are outlined. New focus points that improve client awareness and in turn improve the sustainability of energy management interventions are also highlighted. However, benefitting from energy incentives is becoming more complex. Therefore, many clients do not benefit from these incentives unless specialised Energy Service Companies (ESCos) are employed. ESCos, however, require large amounts of data to manage clients’ energy effectively. Herein lies the need for a comprehensive EMIS that aids ESCos and their clients with the energy management process. An EMIS was developed and implemented for several industries in South Africa. Data is automatically collected, processed, analysed, and presented on a daily basis. A case study investigates the exorbitant amounts of data and reports that are managed automatically, which further highlights the need for a comprehensive EMIS.

Gap analysis of industrial energy management systems in Slovenia

Industrial energy management systems, which comprise software solutions, upfront services, and ongoing monitoring and management, enable industrial companies to actively manage their energy consumption and energy procurement activities. Energy management systems are usually tailored to the specific industrial needs but may offer limited functionalities, mostly as a result of different identified gaps (process simplifications, improper measurement points, a lack of motivation, etc.). A survey was conducted in order to analyse the gaps and use of energy management systems in Slovenian industry. The results of the survey presented in this paper demonstrate that the use of energy management systems in industry is recognised as a potential competitive advantage by most of the addressed companies. Furthermore, motivation was highlighted as an important prerequisite for process and structural improvements and reported to be thus far insufficiently addressed. Furthermore, the importance of strong cooperation with actors at different levels of industry, namely the executive and shop floor levels, is addressed. In the conclusion, possibilities for new opportunities in the exploitation of energy efficiency through the use of industrial energy management systems are discussed.

Effect of Changing Operating Policies on Energy Use Consumption

Energy efficiency continues to be an important focus in manufacturing in light of energy cost, environmental concerns and legislations. Reducing energy use is essential for maintaining manufacturing sustainability and competitiveness. This paper proposes a methodology for energy use analysis that employs analytical, simulation and statistical tools for the purpose of investigating the effect of changing operating strategies such as production scheduling and batch sizes on manufacturing line total energy use. The proposed methodology identifies potential energy savings and guides improvement efforts. A real case study of an automotive OEM supplier, which experiences system changes as new products are introduced is presented. The main pieces of equipment consuming energy in the entire production line were identified and the total energy consumption per product was estimated. The manufacturing line was modelled using discrete event simulation, and the effect on the line total energy consumption of different operating strategies including different batch sizes and production schedules were determined. Analysis of Variance (ANOVA) was employed to analyze the effects of each operating strategy on the energy usage. The results reveal a relationship between changes in the operating strategies and energy use. This study demonstrated that optimizing the production line operating strategies can potentially lead to significant energy savings without the need for major modifications of equipment or machine setups. Practical examples which can guide industrial energy management practitioners in planning, assessing and improving manufacturing systems efficiently are provided. This study emphasizes the importance of including energy use data in manufacturing systems operating policy decisions.

An IoT-based energy-management platform for industrial facilities

Interconnectivity and interoperability are very important features in the development of integrated energy management systems for industrial facilities. A simple and common strategy for exchanging energy-related information among the entities in a facility is currently lacking. To this end, the purpose of this study is to present an IoT-based communication framework with a common information model to facilitate the development of a demand response (DR) energy management system for industrial customers. Additionally, we developed and implemented an IoT-based energy-management platform based on a common information model and open communication protocols, which takes advantage of integrated energy supply networks to deploy DR energy management in an industrial facility. The experimental results of this study demonstrate that the proposed platform can not only improve the interconnectivity of the entities in industrial energy management systems but also reduce the energy costs of industrial facilities.

Industrial Energy Management Systems in Italy: State of the Art and Perspective

Despite the economic crisis, the impact of industry sector share on the total primary energy demand in Italy is still significant. The certification of companies according to the standard ISO 50001:2011 (“Energy management systems - Requirements and guidelines for use”), can represent a key element in the achievement of objectives set in the 20-20-20 Climate-Energy Package.This paper illustrates the state of implementation of ISO 50001 certifications in Italy, reporting on the results of a questionnaire carried out as a part of a master's thesis project at Sapienza, University of Rome in collaboration with FIRE (Italian Federation for the Rational Use of Energy) that included the major certification bodies, certified companies and consultants. The purpose is to outline the current situation, identify the perspectives and highlight the pros and cons related to the implementation of an Energy Management System (EnMS).The big picture shows that Italy, one of the leading countries in energy efficiency policies, suffers from a significant delay in the implementation of the EnMS in industry with respect to Germany.The results of the survey also show that the definition of energy performance indicators, as well as the individuations of an energy baseline and a monitoring plan constitute the requirements most critical to comply with for companies than for consultants. It also appears that more than 35% of companies already ISO 50001 certified have received benefits in terms of cumulative energy saving above 5%, and that the main reason why they have implemented an EnMS is related to the potential impact on increasing the competitiveness of the core business.

Some Strategies for Electrical Energy Conservation and Management in Industries

ABSTRACTThe gap between growing demand for electrical energy and its availability is ever increasing in developing countries. In the context of increasing shortage on one hand and scarcity of resources on the other hand, the most cost-effective option available to any country to bridge the gap between demand and supply of electrical energy is energy conservation and management. World-renowned energy economists have acknowledged that good energy conservation and management practices can achieve up to 25% in energy cost reductions. This article presents some electrical energy conservation strategies and energy management practices and policies, which will enhance the conservation of electrical energy in industries. A three-pronged approach to energy conservation is presented: capacity utilization, fine-tuning and technology up gradation.

Classification of Industrial Energy Management Practices

Environmental concerns, stricter legislation and inflated energy costs together yield improved energy efficiency as an important pillar in every industrial sector. Mindful of this challenge, energy management and its related practices are deemed to be one of the major instruments to improve energy efficiency within manufacturing companies. Despite the importance of this issue, there is no precise and unanimous definition for energy management practices. Moreover, very few papers investigate energy efficiency opportunities and/or energy management practices in foundry industry. This paper aims to identify, classify and characterize energy management practices through their definition, with respect to energy efficiency, that could take place in a foundry industry.

Industrial Energy Management Decision Making for Improved Energy Efficiency—Strategic System Perspectives and Situated Action in Combination

Improved industrial energy efficiency is a cornerstone in climate change mitigation. Research results suggest that there is still major untapped potential for improved industrial energy efficiency. The major model used to explain the discrepancy between optimal level of energy efficiency and the current level is the barrier model, e.g., different barriers to energy efficiency inhibit adoption of cost-effective measures. The measures outlined in research and policy action plans are almost exclusively technology-oriented, but great potential for energy efficiency improvements is also found in operational measures. Both technology and operational measures are combined in successful energy management practices. Most research in the field of energy management is grounded in engineering science, and theoretical models on how energy management in industry is carried out are scarce. One way to further develop and improve energy management, both theoretically as well as practically, is to explore how a socio-technical perspective can contribute to this understanding. In this article we will further elaborate this potential of cross-pollinating these fields. The aim of this paper is to relate energy management to two theoretical models, situated action and transaction analysis. We conclude that the current model for energy management systems, the input-output model, is insufficient for understanding in-house industrial energy management practices. By the incorporation of situated action and transaction analysis to the currently used input-output model, an enhanced understanding of the complexity of energy management is gained. It is not possible to find a single energy management solution suitable for any industrial company, but rather the idea is to find a reflexive model that can be adjusted from time to time. An idea for such a reflexive model would contain the structural elements from energy management models with consideration for decisions being situated and impossible to predict.

Integration of environmental indicators in the optimization of industrial energy management using phase change materials

This work addresses the potential environmental effects of thermal energy storage using the life cycle assessment to perform an optimal system framework. The study assesses the recovery of waste thermal energy at medium temperatures through the application of phase change materials and the recovered heat use in other industrial processes avoiding the heat production from fossil fuel. To this end, twenty different situations were analysed in terms of energy and environmentally combining four thermal energy storage systems varying the type of phase change material incorporated (potassium nitrate, potassium hydroxide, potassium carbonate/sodium carbonate/lithium carbonate and lithium hydroxide/potassium hydroxide) which were defined as cases and five scenarios were the heat can be released based on the type of fossil fuel consumed (coal, heavy fuel, light fuel, lignite and natural gas). Moreover, a net zero environmental metric time parameter was calculated to assess the time period in which the environmental impacts associated to the thermal energy system were equal to the avoided impacts by the use of the heat recovered. Values that were lower than the thermal energy system lifetime were obtained in more than 40% of the total study situations. Finally, an additional analysis was performed to identify the most significant parameters for the further development of a mathematical model to predict the net zero environmental metric time.

The energy efficiency of China's regional construction industry based on the three-stage DEA model and the DEA-DA model

China's construction industry has constantly been confronted with the problems, such as high resource consumption, serious pollution and low energy efficiency. Thus, improving the energy efficiency of the construction industry and reducing its energy consumption can not only promote the sustainable development of the socio-economy and eco-economy, but also enhance the overall development level of the construction industry. In the context, the objectives are to put forward a set of systematic methodologies for measuring the energy efficiency of the regional construction industry and analyzing its change trends. First, the energy efficiency index system of the construction industry and its influencing factors are constructed through the literature review. Second, two research methods (the three-stage Data Envelopment Analysis (DEA) model and the Data Envelopment Analysis-Discriminant Analysis (DEA-DA) model) are applied to analyze the energy efficiency in 30 provinces of China and the change trends from 2003 to 2011. The results indicate that after eliminating the influence of the environment factors and random errors, the energy efficiency values of the construction industry in most of the provinces were improved. The mean of China's energy efficiency of the construction industry in each year was approximately 0.92. Except Shandong with the lowest values, the mean of the other provinces was over 0.8, which reflected that the energy management and utilization levels in the construction industry were relative mature. However, the energy efficiency in most of provinces fluctuated constantly during these nine years, with the peak in 2004 and a downward trend in the overall efficiency after 2004. From the regional aspect, the energy efficiency of the construction industry in the eastern, central and western regions decreased successively; as the development level of the local economy had less significant effects on the energy efficiency, the gaps among the three regions were not obvious.

Improved Maintenance for Energy Optimization in the Calcium Compound Processing Industry

Malaysian industries, in general consider energy management a burden and non-profitable. Energy management initiatives are also viewed as a Cost-Centre. An Excel spreadsheet was therefore tailor-designed, which meets the requirements of the plant for energy optimization and management. The spreadsheet is grouped to reflect four parts, namely: plan, do, check and commit. This Plan-Do-Check-Commit cycle is based on the plan-do-check-act (PDCA) cycle. This spreadsheet has been developed with the objective of developing a tool that would be comprehensive, simple and flexible, open to be modified and tailored for the industries. The results indicated that there are opportunities for a more effective and structured approach to energy management in industry. An initial reduction of 5% in energy consumption has been recorded and it is the company’s responsibility to ensure that their energy management becomes part of their corporate culture.

Energy management system certification in industry

Energy management system is a set of interrelated or interacting elements aiming to establish an energy policy and energy objectives, including processes and procedures to achieve those objectives. Certification of energy management systems according to standards EN 16001 and new standard ISO 50001 is a way to sustain energy use in an organization. There has been a lot of research about different aspects of energy efficiency and energy management in global industries, but none about the state of certification of energy management systems in global industries. This paper aims to give a comprehensive review of certification of energy management systems in different industries and its subsectors globally. Statistical analysis of available ISO 50001 certification data was used in this research.

The Effective Design and Controlled Synthesis of Nanomaterials for Supercapacitors

Accompanied by the electrochemical energy storage device for use in portable electronics, hybrid electric vehicle, large scale industrial power and energy management, design and synthesis of a novel structure, advanced nanoelectrode materials with superior properties is crucial. As an important member of electrochemical energy storage devices, supercapacitors with high power density, long cycle life have attracted more and more attentions. As we know, the composition and structure of the electrode material is the decisive factor for the performance of electrode materials. This paper, based on our research work in recent years, reviewed how to design effectively and synthesize controllably for supercapacitors.

Review of energy models to the development of an efficient industrial energy model

Abstract Presently, there are huge challenges in the presence of the global energy sector, especially in the energy intensive industries that entail a huge collection of energy use, which makes energy security a vital worry. This study analyses various energy models, taking into consideration their various gaps which led to the development of an integrated model for assessing energy efficiency potential in the industrial sector. The resulting developed model will not only serve as a tool for long-term planning to ensure that energy supply is available to meet the demands of targeted economic growth, it will also give policy-makers in the industrial energy management an alertness on how to monitor, control and manage energy consumption.

Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model

Outcomes from a diversity of models need to be deliberated by policy makers of developing countries to evaluate the methods of the decision-making. Various energy models have been employed in energy studies. These models include IDA (index decomposition analysis), ANN (artificial neural network) and DEA (data envelopment analysis). This paper presents a technique based on the strengths of the mentioned energy models to assist policy makers and stakeholders in industrial energy management. Changes in energy consumption patterns can be attributed to three factors, i.e. activity, structure and intensity effects. Our investigation is based on these factors. The study successfully combines IDA, ANN and DEA for an appraisal of energy consumption of 11 energy intensive industrial sectors of South Africa between 1971 and 2008 for possible industrial energy saving.

Improved AC current measurement approach in multiphase cable using proper orthogonal decomposition

Accurate monitoring of energy consumption is key for electrical energy management in industry This implies the use of low-cost and easy-to-install measuring chains that can be placed directly around three-phase cables without interrupting power delivery. This paper describes an innovative current measurement method using a magnetic sensor array dispatched around three-conductor cables. Analytical solution is given for the measurement problem and results from simulations.