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... The significant operational cost of membrane maintenance is an important issue to overcome alongside the membrane replacement time. We propose a membrane lifetime estimation method via functional machine learning (FML) using 12 biological-chemical-physical functional parameters and a predictive maintenance system for membrane replacement based on AI-driven functional profile monitoring (FPM). Biol ...
operatingcosts, etc ; electricity; energy; Canada; Ireland; Show all 5 Subjects
Abstract:
... Distributed Energy Resources have been playing an increasingly important role in smart grids. Distributed Energy Resources consist primarily of energy generation and storage systems utilized by individual households or shared among them as a community. In contrast to individual energy storage, the field of community energy storage is now gaining more attention in various countries. However, existi ...
... In this study, rule-based energy management strategies (EMS) based on the modifications of the traditional load following (LF) and circuit charging (CC) have been proposed and developed to effectively coordinate the operation of an integrated multi-carrier hybrid energy system. The proposed EMS aim to overcome some of the challenges of the traditional rule-based EMS and broaden their application t ...
operatingcosts, etc ; carbon; electricity; energy; uncertainty; Show all 5 Subjects
Abstract:
... Multi-energy multi-microgrid (MMG) networks are considered as a promising form of energy systems that can integrate various energy resources and improve energy utilization efficiency. Carbon emission limitation, regarded as a significant factor in energy management, has received increasing attention in recent years. By taking into account both economic and environmental factors, MMG networks can o ...
operatingcosts, etc ; climate; energy; equipment; models; Show all 5 Subjects
Abstract:
... In power systems, contingencies and outages are more frequent nowadays due to climate changing effects. This circumstance along equipment aging may lead to unexpected failures and outages in power and energy systems. This issue is especially critical in isolated microgrids, which must be supplied by means of own resources and onsite assets. In these systems, unexpected failures may notably provoke ...
... Large scale penetration of highly intermittent wind energy sources has caused new challenges to the reliable operation of power systems. To address these challenges, demand response program is considered as an efficient solution to manage shift-able loads. In this paper, the impact of demand response on power system reliability has been evaluated by developing a two-stage stochastic security const ...
operatingcosts, etc ; environment; farmers; models; organic production; Show all 5 Subjects
Abstract:
... With the growing importance of sustainable farming and increasing fluctuations in the price of agricultural produce, the choice of nature of farming and participation in a cooperative has become critical. This paper examines farmers’ decision of adopting organic farming and participating in cooperative institutions to market their produce. We formulate a two-stage strategic game model whereby two ...
operatingcosts, etc ; computer software; energy; heat; thermal properties; Show all 5 Subjects
Abstract:
... Future energy systems rely on integrating renewable energy resources to decarbonise the heating and cooling sectors and contribute to global net zero targets. Traditional approaches to energy modelling are segregated as focus tends to be on individual objectives such as minimising operational cost. Furthermore, they are limited with respect to computational time, level of precision and scalability ...
operatingcosts, etc ; algorithms; models; uncertainty; wind; wind power; Show all 6 Subjects
Abstract:
... The uncertainty of wind power brings security and economic issues in active distribution networks. As an effective solution to these problems, the active/reactive optimization aims at minimizing the total operation cost and network loss by controlling multiple resources. This paper proposes a two-stage data-adaptive robust optimization model for the dynamic active-reactive power flow. The dynamic ...
operatingcosts, etc ; electricity; energy; models; prices; turbines; wholesale marketing; Show all 7 Subjects
Abstract:
... This paper proposes a novel bi-level strategic energy trading framework to minimize the operation cost of the distribution network (DN) interacting with peer-to-peer (P2P) transactive energy hubs with electric vehicles. A distribution system operator at the upper level minimizes its total cost from purchasing electricity in the wholesale market, generating with its own microturbines, and selling e ...
operatingcosts, etc ; case studies; lakes; models; transient flow; China; Show all 6 Subjects
Abstract:
... It is very important to reduce the operation cost and ensure the channel safety for open-channel water diversion projects with cascade pumping stations. In this study, a multi-objective optimal control model of cascade pumping stations is coupled with the one-dimensional unsteady flow model considering both cost and safety, and a case study is performed with the section from the Tuancheng lake to ...
operatingcosts, etc ; air; automation; energy efficiency; models; temperature; water content; Show all 7 Subjects
Abstract:
... Drying, a crucial step in process engineering aimed at producing optimal product moisture content, has evolved over time from batch processing methods to continuous processing alternatives. Continuous drying methods offer uniform moisture content of the product at lower operational cost. In this study, a continuous veneer drying model was developed based on mass and energy balances. The simulated ...
operatingcosts, etc ; algorithms; electricity; energy; energy policy; models; regression analysis; Show all 7 Subjects
Abstract:
... Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well as government. Literature reveals that 1% error drop of forecast can reduce 10 million pounds operational cost. Thus, this study proposed a novel hybrid predictive model built upon multivariate empirical mode decomposition (MEMD) and support ...
operatingcosts, etc ; absorption; energy; models; prediction; probability distribution; resource allocation; Show all 7 Subjects
Abstract:
... Community energy consumption accounts for a large proportion of total social energy consumption. Therefore, community integrated energy systems have emerged to satisfy these demands. However, limited resource allocation of the integrated energy system in a single community is possible because of poor anti-interference and insufficient photovoltaic absorption. A distributionally robust optimal disp ...
operatingcosts, etc ; carbon; ecosystems; fuels; human health; microalgae; photobioreactors; sludge; Show all 8 Subjects
Abstract:
... Antibiotics abuse has triggered a growing environmental problem, posing a major threat to both ecosystem and human health. Unfortunately, there are still several shortcomings to current antibiotics removal technologies. Microalgae-bacteria consortia have been shown to be a promising antibiotics treatment technology owing to advantages of high antibiotics removal efficiency, low operational cost, a ...
operatingcosts, etc ; carbon dioxide; electricity; energy; management systems; prices; China; Show all 7 Subjects
Abstract:
... Driven by advances in smart grid technologies, building prosumers have closer interaction in sharing energy and information towards net-zero energy communities with energy flexibility and smart readiness. Many studies have focused on transactive energy systems, whereas limited attention was paid to coordinated prosumer management involving electric and electro-thermal energy storages. In this pape ...
operatingcosts, etc ; crystallization; energy efficiency; equipment; population density; process design; Show all 6 Subjects
Abstract:
... The continuous crystallization process has attracted attention, because of its high energy efficiency, low operation cost, and high product consistency. Recently, a cascade-type crystallizer (CTC) based on Couette–Taylor (CT) and mixed-suspension mixed-product-removal (MSMPR) equipment has been proposed as a novel continuous crystallizer. However, the relationship between the operating conditions ...
operatingcosts, etc ; electricity; energy; models; system optimization; uncertainty; wind power; Show all 7 Subjects
Abstract:
... Due to the high integration of renewable energy, renewable energy curtailment has become a key issue that needs to be solved urgently. Aiming at the areas with the characteristics of curtailed wind energy and strong thermal demand, a multi-time scale optimal scheduling model for improving the wind power integration in heating seasons was proposed. In the framework, the enhanced-interval optimizati ...
operatingcosts, etc ; administrative management; carbon; energy conversion; models; prototypes; system optimization; Show all 7 Subjects
Abstract:
... In most studies about operation optimization of integrated energy system (IES), the heating subsystem adopts the quality regulation method. However, considering the poor economy of quality regulation, quantity regulation method is proposed to improve the economy. Due to possible hydraulic vertical imbalance resulted from quantity regulation, the operation optimization must consider the effects of ...
operatingcosts, etc ; algorithms; carbon; case studies; economic dispatch; energy; models; prices; Show all 8 Subjects
Abstract:
... This paper mainly focuses on the low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems (IES) from the perspective of System of Systems. First, a new model of carbon quota allocation and trading considering carbon balance and carbon sharing among multiple systems is established, and a low-carbon economic dispatch and energy sharing framework based on efficient ...