با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
Techno-economic evaluation of PV based institutional smart microgrid under energy pricing dynamics
ارزیابی فنی و اقتصادی میکروگرید هوشمند نهادی مبتنی بر PV تحت پویایی قیمت گذاری انرژی-2020
The solar photovoltaic (PV) system with battery energy storage have a lot of potential to provide reliable and cost-effective electricity and to contribute in micro-grid operation. However, the operational performance of such type of micro-grid system depends on many factors (e.g. techno-economic sizing, energy management among the sources, market energy prices dynamics, energy dispatch strategies, etc.). In this paper, a typical Indian institutional energy system has considered for techno-economic performance evaluation for operating as a smart micro-grid under market energy pricing dynamics. The institutional energy system has integrated PV, battery storage and DG for operating as a smart microgrid. An operational energy dispatch strategy for micro-grid has proposed and evaluated for maximizing the local energy resources utilization with contemplation of peak demand and grid outage conditions under market energy pricing dynamics. With techno-economic sizing of PV, battery and DG of considered system; the peak demand has reduced by 10%, DG contribution by 92% and annual energy savings by 45% compare to operation of base system. With proposed energy management strategy, the annual battery energy throughput has increased from 0.4% to 10%, and the DG’s contribution has decreased from 7% to 5% with 10% reduction in levelized cost of energy (CoE) compare to case with techno-economic sizing of PV, battery and DG for considered system. With inclusion of electrical energy pricing dynamics scenario, it has observed that the CoE has increased by 89% with change in time-of-use (ToU) tariff from 100% to 200% and considering energy-selling price to the grid at 100%. However, 8% reduction in the CoE has observed, when the energy-selling price to grid has increased from 100% to 200% at ToU of 100%. The results from this work are going to be useful for developing electrical tariff policies for promoting the PV based institutional micro-grid system under market energy pricing dynamics.
Keywords: Smart micro-grid | Market energy pricing dynamics | Techno-economics | Solar photovoltaic | Energy management strategy
Active demand-side management strategies focused on the residential sector
استراتژی های فعال مدیریت تقاضای متمرکز بر بخش مسکونی-2020
In this paper, the impact of active demand–side management strategies, including Energy Management Systems (EMS), Photovoltaic Systems (PV) and changes in the domiciliary energy consumption habits is analyzed. In order to perform the study, the city of Bogota and the municipality of Cajica in Colombia -South America were selected, since, despite of their proximity, these places are exposed to different solar radiation levels. Based on this, two photovoltaic system designs with different technical specifications were proposed to analyze their behavior with respect to energy consumption and cost, when implemented together with a change of domiciliary energy consumption habits in lightning circuit usage. The implementation of these strategies allows achieving energy savings between 18 % and 27 %, according to the chosen photovoltaic system, and mainly due to changes in the energy consumption habits of users. Likewise, the interconnected system achieves a decrease of CO2 emissions between 85 % and 86 % approximately in this circuit, making a contribution to the environmental care. Nevertheless, the Active demand-side management (ADSM) strategy regulation is one of the challenges that Colombian government must undertake, so the domestic user receives economic incentives that motivate him to modify his consumption and acquire new technologies that facilitates its adoption. The implementation of this strategies in national and international contexts may contribute significantly to a more efficient electric power systems in general, because it starts from the active participation of residential users with elements such as their own electricity generation.
Keywords: Active demand-side management | Photovoltaic systems | Consumption habits | Energy management systems | Information management
Energy-cognizant scheduling for preference-oriented fixed-priority real-time tasks
برنامه ریزی دانش شناخت انرژی برای وظایف در زمان واقعی با اولویت ثابت تنظیم گرا -2020
Energy management is one of the crucial design issues when executing real-time applications with stringent tim- ing requirements. Dynamic slowdown of processor voltage if accompanied with processor shutdown method, helps in better saving energy. Traditionally, energy management has been applied to real-time scheduling algo- rithms that prioritize tasks based on timing parameters only, however, recently applications having tasks with different execution-preferences on the same computing unit found significant importance in various areas. In this paper, dynamic voltage scaling (DVS) and dynamic power management (DPM) techniques are used for energy management while scheduling preference-oriented fixed-priority periodic real-time tasks. Preference-oriented energy-aware rate-monotonic scheduling (PER) and preference-oriented extended energy-aware rate-monotonic scheduling (PEER) algorithms are proposed that maximize energy savings while fulfilling preference-value of tasks. Extensive simulations show that PER and PEER outperforms in terms of energy savings when compared to several related studies.
Keywords: Dynamic voltage | scaling Energy management | Fixed-priority | Preference-oriented | Rate-monotonic | Real-time tasks | Task scheduling
A decision support tool for cement industry to select energy efficiency measures
یک ابزار پشتیبانی تصمیم گیری برای صنعت سیمان برای انتخاب اقدامات بهره وری انرژی-2020
Cement industry is one of the most energy intensive industrial sub-sectors. It accounts for almost 15% of the total energy consumed by manufacturing. Numerous energy efficiency initiatives and measures have been introduced and employed in this industry. To implement the most appropriate solutions for a certain cement plant, both technological and non-technological constraints need to be considered. To date, researchers have focused on outcomes such as energy savings, investment and emission reduction and therefore, both qualitative criteria and current circumstances of the plant have been largely overlooked. In this study, an integrated 3-phase model is presented to address these shortcomings and assist the plant managers to select and invest in the most suitable projects. The proposed tool, which is founded on a multi-criteria decision model, will assist the cement managers in achieving their energy saving targets. The tool is tested for 3 cases showing its applicability with real data resulting in the ranked list of opportunities for each of the plants.
Keywords: Cement industry | Energy efficiency | Decision support tool | Energy management
Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors
کاربران هوشمند برای فناوری های هوشمند: بررسی قصد اتخاذ رفتارهای مصرف انرژی هوشمند-2020
Smart grid technologies have the potential to overcome several environmental, social, and technical problems associated with the current electricity production and consumption modes. However, the adoption of smart grids requires a change in users’ behavior. This study investigates the individual-level motivational factors that affect the intention to adopt “smart consumption and production behaviors”. Understanding these factors is important for implementing effective behavioral change initiatives that would facilitate the diffusion of smart grids. Ajzens theory of planned behavior is applied to explain the formation of such an adoption intention. With a questionnaire survey distributed to a random sample of consumers, an elicitation study is conducted to obtain salient modal beliefs. Data collected from the main survey are analyzed using structural equation modeling. Consistent with the theory, the results of the structural equation analysis reveals that attitude, subjective norm, and perceived behavioral control positively affect the adoption intention. Specifically, the study finds that the variable with the highest estimated loading factor perceived behavioral control, and the most important belief linked with attitude is energy savings. Further investigation indicates that the added exogenous variable, resistance to change, has a negative influence on intention. Results confirm the explanatory power of the theoretical model and provide valuable knowledge for individuals and institutions interested in facilitating the diffusion of smart grids via the implementation of behavioral change initiatives.
Keywords: Adoption of innovation | Consumers’ behavior | Energy management | Smart grid | Theory of planned behavior
Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms
ساخت شبکه های عصبی چند لایه با اتصال پراکنده و داده محور با استفاده از مکانیسم های هوموستاتیک بیولوژیکی مکمل الهام گرفته -2020
The immense complexity of the brain requires that it be built and controlled by intrinsic, self-regulating mechanisms. One such mechanism, the formation of new connections via synaptogenesis, plays a central role in neuronal connectivity and, ultimately, performance. Adaptive synaptogenesis networks combine synaptogenesis, associative synaptic modification, and synaptic shedding to construct sparse networks. Here, inspired by neuroscientific observations, novel aspects of brain development are incorporated into adaptive synaptogenesis. The extensions include: (i) multiple layers, (ii) neuron survival and death based on information transmission, and (iii) bigrade growth factor signaling to control the onset of synaptogenesis in succeeding layers and to control neuron survival and death in preceding layers. Also guiding this research is the assumption that brains must achieve a compromise between good performance and low energy expenditures. Simulations of the network model demonstrate the parametric and functional control of both performance and energy expenditures, where performance is measured in terms of information loss and classification errors, and energy expenditures are assumed to be a monotonically increasing function of the number of neurons. Major insights from this study include (a) the key role a neural layer between two other layers has in controlling synaptogenesis and neuron elimination, (b) the performance and energy-savings benefits of delaying the onset of synaptogenesis in a succeeding layer, and (c) how the elimination of neurons in a preceding layer provides energy savings, code compression, and can be accomplished without significantly degrading information transfer or classification performance.
Keywords: Synaptogenesis | Apoptosis | Brain development | Energy efficient | Unsupervised learning | Neural network
A-SEM: An adaptive smart energy management testbed for shiftable loads optimisation in the smart home
A-SEM: یک تست مدیریت انرژی هوشمند سازگار برای بهینه سازی بارهای قابل تغییر در خانه هوشمند-2020
Managing the increment in energy demand can be solved by involving the demand side in order to increase energy consumption efficiency. However, increasing energy consumption efficiency tends to influence the user level of comfort. A research gap exists in the study of the energy efficiency and user comfort trade-off and in particular in providing low cost testbeds to study this phenomenon. This research discusses a low-cost testbed hardware design and the potential of the proposed Adaptive-Smart Energy Management Tool (A-SEM tool) to balance the level of comfort and energy consumption efficiency. We implement an adaptive energy limitation algorithm which uses up to 30 days historical data. The energy consumption is influenced by user behaviour which is monitored by the system sensors and energy limits are adapted for the provision of comfort. A smart home user is able to set the monthly energy consumption budget which determines the initial level of daily energy limitation. A-SEM performs real time monitoring and controlling, mainly considering shiftable loads evaluated at the testing stage. We test 3 possible conditions (possible modes of operation) and prove that our ‘‘adaptive limit” energy limitation algorithm is the most successful in balancing the level of comfort and energy efficiency. For a fixed budget and energy price, the proposed adaptive approach meets user level of comfort (our main priority) as well as achieving some energy savings. In our test the A-SEM tool provides user comfort, meets the monthly budget constraint and yet shows an energy saving of 2.62% which can increase or decrease depending on user behaviour. We present results showing energy saving levels, comfort levels and efficiency levels. The proposed A-SEM tool is low cost, implements an uncomplicated adaptive algorithm and therefore has the potential to be an affordable smart energy management system in future smart homes.
Keywords: Home energy management system | HEMS | Adaptive-A-SEM tool | Smart home | User comfort | Demand side management
Identification of drivers, benefits, and challenges of ISO 50001 through case study content analysis
شناسایی درایورها ، مزایا و چالشهای ISO 50001 از طریق تجزیه و تحلیل محتوای موردی-2020
An expanding body of research is defining drivers, benefits, and challenges of adopting ISO 50001 energy management systems. The Clean Energy Ministerial’s Energy Management Leadership Awards program requires ISO 50001-certified organizations to develop case studies of their implementation experience. 72 recent case studies spanning multiple economic sectors provide a unique global look at implementation from certified organizations’ perspectives. This dataset was investigated through content analysis of phrases related to motivations and goals, the role of management and the organization, benefits achieved, keys to success, and challenges. This paper presents findings from this quantitative analysis of “codes” assigned to phrases that capture their meaning. While organizations adopted ISO 50001 for different motives and saw myriad benefits beyond energy savings and associated greenhouse gas emissions reductions, commonalities exist. The most frequently identified drivers are existing values and goals, environmental sustainability, and government incentives or regulations. Findings also include: obtaining and sustaining top management support is critical; top benefits mentioned are cost savings, productivity, and operational improvements; and the primary barrier is lacking a culture of energy management. Policymakers and others looking to accelerate ISO 50001 uptake can use these findings to highlight benefits and incentives that will resonate with corporate decisionmakers worldwide
Keywords: Energy management | ISO 50001 | Content analysis | Energy savings | Greenhouse gas emissions
Reducing energy costs of the wastewater treatment plant by improved scheduling of the periodic influent load
کاهش هزینه های انرژی تصفیه فاضلاب خانه با برنامه ریزی بهتر بار تأثیرگذار دوره ای-2020
The wastewater treatment plant (WWTP) is a major actor of the water-energy nexus. This study proposes to partially store in available WWTP tank infrastructure the wastewater received during the day-time and schedule the purification of the stored wastewater at night-time. The intended operational approach aims to shift part of the WWTP electrical energy consumption from day-time into the night-time period when the energy has lower prices, also contributing to the balance of the electrical power generation system. This research presents the case study of a Romanian WWTP with Anaerobic-Anoxic-Oxic (A2O) process configuration. A proposed control strategy was implemented and tested on the dynamic calibrated WWTP model, based on the Activated Sludge Model No. 1 and the secondary settler Tak�acs model. Simulations of the proposed scheduling program for the storing and processing time-periods of the influent wastewater, associated to the designed control strategies, demonstrate the reduction of the operational costs and energy savings, while keeping the effluent quality within the requested regulation limits and improving the plant sustainability. In the most favorable case and considering the overall WWTP performance, the operational costs are reduced by 47% and the effluent quality is improved by 25%. To achieve this performance a part of the influent wastewater is stored from 2 p.m. in the available tanks (day-period) while the beginning of the stored wastewater treatment is scheduled at 12 a.m. (night-period). Air flow rate distribution in the nitrification zone and the two water recirculation flow rates are also found by optimization.
Keywords: Wastewater treatment | Influent storage scheduling | Control strategies | Electrical energy management | Sustainability
A municipal solid waste indicator for environmental impact: Assessment and identification of best management practices
شاخص ضایعات جامد شهری برای اثرات زیست محیطی : ارزیابی و شناسایی بهترین شیوه های مدیریت-2020
The objective of this study was to develop an aggregate indicator to assess the environmental impact of municipal solid waste management in the small municipalities of the state of S~ao Paulo, Brazil. Additionally, the study aimed at creating a classification of the municipalities considered to identify the best management practices. The study consisted of five phases: Phase 1: Selection of municipalities; Phase 2: Data collection (inputs); Phase 3: Use of the Waste Reduction Model; Phase 4: Analysis of results (outputs) and; Phase 5: Construction of the aggregate indicator and comparison between municipalities to analyze management practices. The results showed that the average waste generation was 223.89 kg (inhabitant1 year1), the average carbon dioxide equivalent (CO2e) emissions was 0.166 tons (inhabitant 1 year1), the average amount of energy savings was 51.37 kWh (inhabitant1 year1) and that most municipalities had suitable final waste destinations. After developing the aggregate indicator, which was a geometric mean of the normalized indicators for waste generation, emissions of CO2e, energy consumption and quality of final destination, the municipalities were ranked. Among the ten best-ranked municipalities, six of them disposed of the waste in municipal landfills, and four, in private landfills. Only one municipality is part of a consortium, while seven of them have institutionalized selective collection. One of the critical points for good indicators is the presence of waste pickers. For further improvements in the management of these municipalities, it is suggested that practices involving recycling and the integration of waste pickers with proper technical training are developed and implemented further. It is also recommended fostering greater social inclusion and integrated participation in the management of municipal solid waste. The aggregate indicator developed was regarded as appropriate to assess the environmental impact of municipalities and to classify them, allowing the identification of the best management practices.
Keywords: Indicators | Strategic waste management | Environmental analysis | Carbon dioxide equivalent