Relevant bibliographies by topics / System of Systems, Systems Engineering, District Energy Management, decision-making framework

Academic literature on the topic 'System of Systems, Systems Engineering, District Energy Management, decision-making framework'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "System of Systems, Systems Engineering, District Energy Management, decision-making framework"

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Alvarez, David L., Diego F. Rodriguez, Alben Cardenas, F. Faria da Silva, Claus Leth Bak, Rodolfo García, and Sergio Rivera. "Optimal Decision Making in Electrical Systems Using an Asset Risk Management Framework." Energies 14, no. 16 (August 13, 2021): 4987. http://dx.doi.org/10.3390/en14164987.

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In this paper, a methodology for optimal decision making for electrical systems is addressed. This methodology seeks to identify and to prioritize the replacement and maintenance of a power asset fleet optimizing the return of investment. It fulfills this objective by considering the risk index, the replacement and maintenance costs, and the company revenue. The risk index is estimated and predicted for each asset using both its condition records and by evaluating the consequence of its failure. The condition is quantified as the probability of failure of the asset, and the consequence is determined by the impact of the asset failure on the whole system. Failure probability is estimated using the health index as scoring of asset condition. The consequence is evaluated considering a failure impact on the objectives of reliability (energy not supplied -ENS), environment, legality, and finance using Monte Carlo simulations for an assumed period of planning. Finally, the methodology was implemented in an open-source library called PywerAPM for assessing optimal decisions, where the proposed mathematical optimization problem is solved. As a benchmark, the power transformer fleet of the New England IEEE 39 Bus System was used. Condition records were provided by a local utility to compute the health index of each transformer. Subsequently, a Monte Carlo contingency simulation was performed to estimate the energy not supplied for a period of analysis of 10 years. As a result, the fleet is ranked according to risk index, and the optimal replacement and maintenance are estimated for the entire fleet.
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2

Xia, Tangbin, Xiangxin An, Huaqiang Yang, Yimin Jiang, Yuhui Xu, Meimei Zheng, and Ershun Pan. "Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy." Energies 16, no. 3 (January 19, 2023): 1095. http://dx.doi.org/10.3390/en16031095.

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Currently, studies on the energy efficiency of manufacturing systems usually lack synthetic and systematic techniques. In this paper, a holistic framework is demonstrated in order to achieve more sustainable manufacturing, which covers machine-level, system-level and life-cycle-level energy efficiency techniques. Based on these, the mechanism of how energy consumption is affected by machining processes and system operation is analyzed to achieve a comprehensive decision on energy efficiency optimization. Four main topics are included in this paper: (1) Hierarchical sustainability goals and metrics for energy-efficient manufacturing; (2) Machine-level machining processes optimization for energy efficiency enhancement; (3) System-level innovations for efficient consumption management; (4) Life-cycle level energy flow modeling and energy recycling strategy. An automotive engine manufacturing system is taken as an example to build a concrete understanding of the application of the framework. Moreover, this holistic framework establishes the theoretical basis for promoting the energy efficiency of automotive engine manufacturing systems. Furthermore, the proposed techniques can provide decision-making support for achieving sustainable manufacturing in a wider scope of mechanical manufacturing.
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Heitmann, Pahl-Wostl, and Engel. "Requirements Based Design of Environmental System of Systems: Development and Application of a Nexus Design Framework." Sustainability 11, no. 12 (June 24, 2019): 3464. http://dx.doi.org/10.3390/su11123464.

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Social, technological, and environmental systems have become increasingly interconnected. Integrated problems arising between embedded water, energy, and food systems, require political and strategic cooperation between the actors involved at multiple governance levels. A holistic design approach is needed to guide the inherent decision-making processes. In this article, we developed a normative decision-making framework based on System of Systems Engineering (SoSE) and demonstrated how it can help to foster the cross-sectoral design of solutions to these interlinked water, energy, and food issues. The actors involved in our case study demonstrated a strong interest in collaborating across sectors and participating in the transition to cross-sectoral and sustainable resource management practices. However, experts from science and practice face a high degree of uncertainty when they design solutions to cope with the existing regional problems. As almost all regions of the world are highly integrated in national and global markets, future research might consider conducting larger research projects that also link the design approaches to inter-regional, national, and international levels. Our methodological approach illustrates how such a project could be structured on a regional level and identifies the processes that are important to consider.
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Lichte, Daniel, Frank Sill Torres, and Evelin Engler. "Framework for Operational Resilience Management of Critical Infrastructures and Organizations." Infrastructures 7, no. 5 (May 6, 2022): 70. http://dx.doi.org/10.3390/infrastructures7050070.

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Progressing digitalization and networking of systems and organizations representing Critical Infrastructures opens promising new potentials and opportunities, which on the downside, are accompanied by rising complexity and increasingly opaque interdependencies. The consequently increasing lack of knowledge leads to uncertainties affecting risk assessment and decision-making in case of adverse events. This trend motivated recent discussions and developments in risk science, emphasizing the need to handle such uncertainties. Complementarily, research in the resilience domain focuses on system capabilities to handle surprising hazardous situations. Several frameworks presented in the literature aim at combining both perspectives but either lack the focus on operational management, have a rather theoretical approach, or are designed for specific applications. Based on this observation, we propose an approach that integrates resilience management into the actual operation of Critical Infrastructure Systems and Organizations by providing an operational process that coordinates the fundamental resilience capabilities of responding, monitoring, anticipation, and learning. Furthermore, we tackle the challenge of uncertainties resulting from a lack of knowledge by aligning the concepts of digital twin and resilience management. The proposed framework is extensively discussed, and required processes are presented in detail. Eventually, its applicability and potential are reviewed by means of a complex hazardous situation at a Bavarian district heating power plant.
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Chistov, V., I. Zakharchenko, V. Pavlenko, M. Pavlenko, P. Berdnik, A. Timochko, and K. Kryzhevskaya. "Using the Mathematical Apparatus of Cellular Automata to Solve the Problem of Monitoring Critical Infrastructure Objects by Unmanned Aerial Vehicles." Problems of the Regional Energetics, no. 3(55) (August 2022): 156–67. http://dx.doi.org/10.52254/1857-0070.2022.3-55.12.

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The purpose of this work is the development of mathematical tools for formalizing decisionmaking problems in open expert real-time control systems. The goal was achieved by defining and formally describing all the elements of a formal system. The most significant result was the proposed approach to formalization. With its help, within the framework of a single formalism, the dynamic properties of the subject area and the logical-analytical activity of the power system dispatcher, presented in different classes of formal logics, were described. The significance of the results obtained lies in the possibility of a rigorous description of various aspects of knowledge within the framework of a single formal apparatus with further pragmatic interpretation in the management process. The proposed approach was distinguished by using the axioms of aletic and deontic logics and the development of axioms that reflect the specifics of the problems being solved. The introduced system of basic concepts and relations makes it possible to classify many decision-making problems for the power systems management. The goals were described within the framework of a single formalism form the basis of the apparatus for formalizing the decision-making problems of the class under consideration. The formalization apparatus provides a description of the dynamic properties of the system within each aspect of knowledge of the content paradigm. The direction of further research is the construction of an appropriate formal theory based on the proposed formal system.
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Šuman, Nataša, Mojca Marinič, and Milan Kuhta. "A Methodological Framework for Sustainable Office Building Renovation Using Green Building Rating Systems and Cost-Benefit Analysis." Sustainability 12, no. 15 (July 30, 2020): 6156. http://dx.doi.org/10.3390/su12156156.

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Sustainable development is a priority for the future of our society. Sustainable development is of particular importance to the Architecture, Engineering, and Construction (AEC) industry, both for new buildings and for the renovation of existing buildings. Great potential for sustainable development lies in the renovation of existing office buildings. This paper introduces a new framework for identifying the best set of renovation strategies for existing office buildings. The framework applies selected green building rating system criteria and cost-effective sustainable renovation solutions based on cost-benefit analysis (CBA), and thus provides a novelty in decision-making support for the sustainable renovation of office buildings at an early-stage. The framework covers all necessary steps and activities including data collection, determination of the required level of renovation, selection of the green building rating system, identification of impact categories and criteria, and final evaluation and decision-making using CBA. The framework can be used in conjunction with different systems and according to different regional characteristics. The applicability of the addressing procedure is shown through a case study of a comprehensive renovation of an office building in the city of Maribor.
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Dong, Tong, Shi Yin, and Nan Zhang. "New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach." Systems 11, no. 1 (December 28, 2022): 11. http://dx.doi.org/10.3390/systems11010011.

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In the context of carbon peak and carbon neutrality, digital green innovation development is becoming more and more important for enterprises. In order to effectively improve green competitiveness and increase profits, photovoltaic building materials enterprises must choose digital green innovation projects for investment. The purpose of this study is to build a reasonable investment project selection framework system and propose appropriate methods for photovoltaic building materials enterprises to help them correctly choose digital green innovation investment projects. This study firstly combines relevant theories and digital green innovation characteristics of target investment projects to build a framework system for photovoltaic building materials enterprises to select investment projects. Secondly, this study innovatively proposes a dynamic intuitionistic fuzzy multi-attribute group decision-making method considering the interaction between attributes. Finally, this study takes Yingli Group as the research object and conducts an empirical study on it to verify the scientific nature and reliability of the framework system and method selection. The results show that the framework system includes four aspects: external support system, commercialization expectation, project operation ability and project operation resources. Yingli Group should choose project A3 for cooperation. The framework system and method proposed in this study are feasible and can help Yingli Group correctly choose digital green innovation investment projects. At the same time, this study also brings positive enlightenment to other photovoltaic building materials enterprises in the world when choosing digital green innovation investment projects.
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Ma, Lei, Shou Jun Cao, and Jian Feng He. "Framework Planning of a Provincial Information Management Platform for Energy Resource Analysis and Forecast Based on Diversified Data Acquisition." Advanced Materials Research 869-870 (December 2013): 495–503. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.495.

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The information system with function of data acquisition and processing could be an essential foundation of decision making and planning for government on energy resource management in China. However, some existing barriers have impeded the usage of data, such as inefficiency mode of data reporting and transmission, sluggishness of data collection and summarization, deficiency of data standardization and serious information asymmetry. In this paper, a framework planning of an info management platform in provincial level is proposed for energy resource condition analysis and prediction. The various types of data from industries of electrical power, coal, petroleum and others such as bio-gas is acquired and analyzed based on certain data processing methods. And the related systems of statistic index, early warning index, monitoring index and unit GDP energy consumption statistic index and evaluation are established. The proposed platform can support info service to government or related department, help keep the balance and stabilization of energy supply.
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Linan-Reyes, Matias, Joaquin Garrido-Zafra, Aurora Gil-de-Castro, and Antonio Moreno-Munoz. "Energy Management Expert Assistant, a New Concept." Sensors 21, no. 17 (September 2, 2021): 5915. http://dx.doi.org/10.3390/s21175915.

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In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation.
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Vyas, Sonali, Shaurya Gupta, Deepshikha Bhargava, and Rajasekhar Boddu. "Fuzzy Logic System Implementation on the Performance Parameters of Health Data Management Frameworks." Journal of Healthcare Engineering 2022 (April 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9382322.

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The development of wireless sensors and wearable devices has led health care services to the new paramount. The extensive use of sensors, nodes, and devices in health care services generate an enormous amount of health data which is generally unstructured and heterogeneous. Many generous methods and frameworks have been developed for efficient data exchange frameworks, security protocols for data security and privacy. However, very less emphasis has been devoted to structuring and interpreting health data by fuzzy logic systems. The wireless sensors and device performances are affected by the remaining battery/energy, which induces uncertainties, noise, and errors. The classification, noise removal, and accurate interoperation of health data are critical for taking accurate diagnosis and decision making. Fuzzy logic system and algorithms were found to be effective and energy efficient in handling the challenges of raw medical data uncertainties and data management. The integration of fuzzy logic is based on artificial intelligence, neural network, and optimization techniques. The present work entails the review of various works which integrate fuzzy logic systems and algorithms for enhancing the performance of healthcare-related apps and framework in terms of accuracy, precision, training, and testing data capabilities. Future research should concentrate on expanding the adaptability of the reasoning component by incorporating other features into the present cloud architecture and experimenting with various machine learning methodologies.
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Dissertations / Theses on the topic "System of Systems, Systems Engineering, District Energy Management, decision-making framework"

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(9575888), Daniel Schuster. "Developing A Decision-Making Framework For A District Energy System Manager." Thesis, 2020.

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Managing the highly dynamic and interdependent systems within a district energy system is an intricately complex undertaking. A district energy manager is expected to make decisions that will result in the achievement of the district’s goals, often with limited capital and personnel resources. What has been lacking in the tools available to a district energy manager is an established decision-making framework with which to process the complex internal and external variables involved to effectively develop and evaluate options to make successful decisions.

While capitalizing on the experience of seasoned district energy managers and a literature review of current methodologies, this dissertation assesses the strengths and weaknesses of the methodologies currently available to managers of district energy systems and presents a new and more comprehensive decision-making framework. A system of systems engineering approach is applied, and multiple relevant case studies are analyzed. Procedures for significantly mitigating many of the external risks to a district energy system are developed and documented.

The main contribution of this dissertation is a unique decision-making framework with a holistic approach encompassing the complexity, emergence, and interdependency of district energy subsystems. This framework will aid a district energy manager in making successful decisions which meet the goals of the district.

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