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نتیجه جستجو - Energy Use

تعداد مقالات یافته شده: 40
ردیف عنوان نوع
1 Double accounting in energy footprint and related assessments: How common is it and what are the consequences?
حسابداری دوگانه در ارزیابی انرژی و ارزیابی های مرتبط: چقدر رایج است و پیامدهای آن چیست؟-2021
The number of input-output assessments focused on energy has grown considerably in the last years. Many of these assessments combine data from multi-regional input-output (MRIO) databases with energy extensions that completely or partially depict the different stages through which energy products are supplied or used in the economy.
The improper use of some energy extensions can lead to double accounting of some energy flows, but the frequency with which this happens and the potential impact on the results are unknown. Based on a literature review, we estimate that around a quarter of the MRIO-based energy assessments reviewed incurred into double accounting. Using the EXIOBASE MRIO database, we also analyse the effects of double accounting in the absolute values and rankings of different countries’ and products’ energy footprints.
Building on the insights provided by our analysis, we offer a set of key recommendations to MRIO users to avoid the double accounting problem in the future. Likewise, we conclude that the harmonisation of the energy data across MRIO databases led by experts could simplify the choices of the data users until the provision of official energy extensions by statistical offices becomes a widespread practice.
keywords: تجزیه و تحلیل ورودی خروجی | مایه | رد پای انرژی | پسوند انرژی | حسابداری دوگانه | استفاده از انرژی | Input-output analysis | MRIO | Energy footprint | Energy extensions | Double accounting | Energy use
مقاله انگلیسی
2 Energy use flows in the supply chains of the world economy: A full account of both primary and intermediate inputs
استفاده از انرژی در زنجیره های عرضه اقتصاد جهانی: یک گزارش کامل از هر دو ورودی اولیه و متوسط-2021
As an extension of our previous work (Wu et al., 2019b), this study uses a positive accounting manner to track the circulation of energy use via interregional trade, by taking a full account of indirect energy usage related with primary inputs as well as intermediate inputs. The aggregate amount of interregional shift of energy use is about six times larger than that recorded in the preceding work, revealing the robust flows of energy use associated with intermediate products traded across global supply chains. The United States is a crucial sink of energy use in the world, serving the leading net importer of energy use in final trade and the second biggest net importer in intermediate trade. Around 60% of the energy use initiated by its final consumption stems from other regions. For Mainland China as the third largest net importer of energy use in intermediate trade and the leading net exporter in final trade, around 60% of local primary energy exploitation sinks into final consumption abroad. For sustainable economic growth and efficient energy management, countries are recommended to be further integrated in the international supply chains by accurately pinpointing their roles in the trading market of energy use
keywords: biophysicalsupport | positiveaccounting | اقتصاد جهانی | منفعل | زنجیره تامین جهانی | Biophysicalsupport | Positiveaccounting | Worldeconomy | Tradeimbalance | Globalsupplychain
مقاله انگلیسی
3 Industrial smart and micro grid systems e A systematic mapping study
سیستم های هوشمند و ریز شبکه صنعتی و یک مطالعه نقشه برداری منظم-2020
Energy efficiency and management is a fundamental aspect of industrial performance. Current research presents smart and micro grid systems as a next step for industrial facilities to operate and control their energy use. To gain a better understanding of these systems, a systematic mapping study was conducted to assess research trends, knowledge gaps and provide a comprehensive evaluation of the topic. Using carefully formulated research questions the primary advantages and barriers to implementation of these systems, where the majority of research is being conducted with analysis as to why and the relative maturity of this topic are all thoroughly evaluated and discussed. The literature shows that this topic is at an early stage but already the benefits are outweighing the barriers. Further incorporation of renewables and storage, securing a reliable energy supply and financial gains are presented as some of the major factors driving the implementation and success of this topic.
Keywords: Industrial smart grid | Industrial micro grid | Systematic mapping study | Strategic energy management | Industrial facility optimization | Renewable energy resources
مقاله انگلیسی
4 Influencing factors on energy management in industries
تأثیر عوامل مؤثر بر مدیریت انرژی در صنایع-2020
Energy management has been considered in the global agenda as a way to improve energy performance and greenhouse gas reduction in organizations. Industries account for a significant part of energy use worldwide and present opportunities for energy efficiency improvements. Within the industry, energy management is a complex task, regarding scenarios with variables related to the following perspectives: economics, contingency, technological change and behavioural. This paper aims at analyzing the influencing factors on energy management in industries from these perspectives. A survey with 40 variables was carried out with middle managers from different industrial sectors in Brazil. The variables were divided into three groups: drivers for investments in energy efficiency; organizational processes and actions in energy management; involvement of middle managers. Initially, an exploratory factor analysis technique was employed aiming at specifying the main factors influencing energy management. In the sequence, a confirmatory factor analysis was used to associate the variables to the main factors as well as to know how the factors relate to each other. The study showed a positive correlation among all the factors identified. Statistical tests suggested that the factors could not be explained separately. Hypotheses tests were applied to verify the influence of the factors among the groups surveyed. The final model comprised eight factors into the three groups: organizational (strategic, operational), involvement (motivation, support), drivers (production, economics, competitiveness, environment). The results and the main implications of the study are discussed in the paper.
Keywords: Energy management | ISO 50001 | Energy efficiency | Industries | Factor analysis
مقاله انگلیسی
5 Evaluating an adaptive management strategy for organizational energy use under climate uncertainty
ارزیابی یک استراتژی مدیریتی تطبیقی ​​برای استفاده از انرژی سازمانی در عدم قطعیت اقلیم-2020
Changing climate creates energy demand uncertainty that is essential for facility and organizational management. Energy conservation can be achieved through combinations of capital improvements and/or management strategies. One such management strategy is implementation of non-conditioning zones to reduce temperate season energy demand. In this study, we evaluate a temporally-based, non-conditioning zone policy originally developed for Kunsan Air Force Base, Korea and apply it to six locations across the contiguous United States, which coincide with major U.S. Air Force bases in various climate zones. Using projected temperature portfolios, we determine that the performance of the implemented policy is likely to change over the remainder of the century. In temperate climate zones, there is an increase in the potential non-conditioning zone by about a month. However, in a tropical climate, the potential duration for a non-conditioned zone reduces by over half by the end of the century. In addition to non-conditioning zone duration change, temporal shifts in the spring and fall seasons affect non-conditioning zone onset. The cumulative changes suggest the need for climate forecast-informed adaptive management policies to mitigate energy demand. The results of this study inform organization and facility-level energy management, suggesting adaptive management policies to address energy budget uncertainty.
Keywords: Adaptive management | Climate change | Energy conservation | Organizational energy use
مقاله انگلیسی
6 Low carbon building performance in the construction industry: A multi-method approach of project management operations and building energy use applied in a UK public office building
کارایی ساخت کربن کم در صنعت تولید : یک رویکرد چند روش از عملیات مدیریت پروژه و استفاده از انرژی مصرفی ساختمان که در ساختمان اداری عمومی انگلیس اعمال می شود-2020
The “performance gap”in the United Kingdom construction industry is a persistent problem as new building development projects underperform more often than not. The “performance gap”is partially attributed to the number of stages involved in building project development and the coordination diffi- culties of partners with different incentives. The project outcome is important for energy consumption, carbon emissions and occupant well-being. Thus, it is important to study the project management pro- cess in terms of the standard time, cost and quality parameters, but also in terms of project partner incentives and coordination, and the subsequent energy performance and resultant indoor environmental conditions. A system dynamics model of project management processes is developed to explore the im- plications of partner coordination for building quality. The system dynamics model is coupled to a build- ing performance simulation model to explore building energy consumption and Indoor Environmental Quality, and apply this on a recent building project case study. Results show that greater project partner alignment can reduce annual energy consumption up to 12% and CO 2 emissions up to 37%, with greater emphasis in the design stage of the project subject to resource availability. The trade-offs involved on value appropriation are considered and discussion of results points to possible ways for improvement.
Keywords: Energy consumption | Simulation | Low carbon | Building performance | System dynamics
مقاله انگلیسی
7 A smart community energy management scheme considering user dominated demand side response and P2P trading
یک طرح مدیریت انرژی هوشمند جامعه با توجه به تسلط کاربر بر پاسخ طرف تقاضا و تجارت P2P-2020
This paper proposed a Peer-to-Peer (P2P) local community energy pool and a User Dominated Demand Side Response (UDDSR) that can help energy sharing and reduce energy bills of smart community. The proposed UDDSR allows energy users within the community to submit flexible Demand Response (DR) bids to Community Energy Management Scheme (EMS) with flexible start time, stop time and response durations with regard to users’ comfort zones for electric heating systems, electric vehicles and other home appliances, which gives maximum freedom to the DR participants. The scheduling of the DR bids, originally a multiobjective optimization problem (maximize the total flexible demand and the flexible demand in every interval during the whole DR duration), is transferred to a single objective optimization problem (maximize the total demand with penalty for demand imbalance during the whole DR duration) that can significantly decrease the computational complexity. Furthermore, to facilitate efficient energy usage among neighbourhoods, a local energy pool is also proposed to enable the energy trading among users aiming to facilitate the usage of surplus energy within the community. The electricity price of energy pool is determined by the real-time demand/supply ratio, and upper/lower limit for the price is configured to ensure the profitability for all the participants within the pool. To evaluate the performance of proposed UDDSR and local energy pool, comprehensive numerical analysis is conducted. It is found that the energy pool participants without PV can get at least 6.16% savings on electricity bill (when PV penetration level equals to 20%). The energy pool participants with PV can get much better return (at least 13.4% profit increase) on the PV generation compared to the conventional Feed-in-Tariff. If energy users join the UDDSR scheme, the participants can get further return, and the proposed UDDSR can provide a constant load reduction/increase during the every time interval of the whole DR event. If Battery Energy Storage System (BESS) is included in the DR operation, the usage efficiency of customers’ flexible loads can achieve more than 85%.
مقاله انگلیسی
8 The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls
استفاده از روش های هوش مصنوعی در پیش بینی راحتی حرارتی در ساختمان ها: پیامدهای انرژی کنترل راحتی حرارتی مبتنی بر هوش مصنوعی-2020
Buildings consume about 40 % of globally-produced energy. A notable amount of this energy is used to provide sufficient comfort levels to the building occupants. Moreover, given recent increases in global temperatures as a result of climate change and the associated decrease in comfort levels, providing ade- quate comfort levels in indoor spaces has become increasingly important. However, striking a balance be- tween reducing building energy use and providing adequate comfort levels is a significant challenge. Con- ventional control methods for indoor spaces, such as on/off, proportional-integral (PI), and proportional- integral-derivative (PID) controllers, display significant instabilities and frequently overshoot thermostats, resulting in unnecessary energy use. Additionally, conventional building control methods rarely include comfort regulatory schemes. Consequently, recent research efforts have focused on the use of advanced artificial intelligence (AI) methods to optimize building energy usage while maintaining occupant ther- mal comfort. We present a review of the current AI-based methodologies being used to enhance thermal comfort in indoor spaces. we focus on thermal comfort predictive models using diverse machine learning (ML) algorithms and their deployment in building control systems for energy saving purposes. We then discuss gaps in the existing literature and highlight potential future research directions.
Keywords: Artificial intelligence (AI) | Machine learning (ML) | Comfort control | Predictive modeling | Predictive control
مقاله انگلیسی
9 FaaVPP: Fog as a virtual power plant service for community energy management
FaaVPP: مه به عنوان یک سرویس نیروگاه مجازی برای مدیریت انرژی جامعه-2020
The fossil fuel based power generators emit CO2 and expensive electricity. In this paper, fog as a virtual power plant (FaaVPP) is proposed to integrate power of distributed renewable power generators and the utility for a community. A prosumer–consumer and service providing company oriented linear model is proposed to minimize power consumption cost for prosumers and maximize profit for the company. The mathematical proof of linear model validates the significance for service provider and energy users. Moreover, outcome of case studies advocate the efficiency of the model. Efficient resource utilization techniques of fog resources ensure the near-real time service provision to the community. In the paper, effects of resource utilization techniques e.g., processing time (PT), response time (RT), computing cost and energy consumed by the resources are also analyzed.
Keywords: Virtual power plant | Fog as a service | FaaVPP | Computational energy | Response time | Processing time | Virtual retail energy provider
مقاله انگلیسی
10 Exploring the viability of a new ‘pay-as-you-use’ energy management model in budget hotels
کاوش در بقای یک مدل مدیریت انرژی جدید "در عوض استفاده می کنید" در هتل های ارزان قیمت-2020
Hotels consume significant amounts of energy, especially in guest rooms. Financial incentives can be given to hotel guests for conserving energy during their stay while financial penalties can be applied for excessive energy use. This can be achieved by deploying the smart energy meters (SEMs) in guest rooms that enable accurate energy monitoring and billing. This study explored the viability of a new business model for energy management in hotels underpinned by SEMs. Semi-structured interviews with managers of UK budget hotels revealed the determinants of industrial adoption of this new model. Despite positive appeal, the chances for the model’s immediate commercialisation were found slim due to its novelty and the market disruption potential held. To enhance the business viability of the proposed model, close integration of energy conservation targets into the corporate agenda of budget hotels is necessary coupled with dedicated policy support.
Keywords: Budget hotel | Energy efficiency | Smart metering | technology | Financial (dis)incentive | Behavioral change
مقاله انگلیسی
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