A highly accurate electricity price prediction model is of the utmost importance for multiple power systems tasks, such as generation dispatch and bidding. Due to the liberalization of the electricity market, as well as high renewable penetration, the properties of electricity price time series are becoming more stochastic and complex. Traditional statistical methods and machine learning algorithms

Adsorptive transformation of ultralow-temperature heat from various sources and its involvement in beneficial processes require pioneer approaches and intelligent solutions. One such approach, the so-called "Heat from Cold" (HeCol), has recently been proposed to amplify heat with an ultralow-temperature potential of only 0-20°C to the temperature level sufficient for heating dwellings. This work addresses

Wind energy has attracted much attention because it is sustainable and renewable energy with a much smaller impact on the environment than fossil fuels. Accurate wind speed forecasting can pave the way to the goal of sustainable development. However, many papers only use wind speed series but ignore weather factors, which lead to poor forecasting results. In this paper, we propose an ensemble system

Reliable wind energy forecasting is crucial for the stable operation of power grids. This paper proposes a regional wind power probabilistic forecasting model comprising an improved kernel density estimation (IKDE), regular vine copulas, and ensemble learning. The IKDE is firstly used to generate the margin probability density function (PDF) of each wind farm and the KDE bandwidth is optimized via

Power-to-gas is a technology, which produces synthetic methane through two-step processes: H2 production via water electrolysis and methanation of CO2. The technology valorizes CO2 as a useful commodity from biogas plants. Biogas upgrading technologies have the capacity to capture CO2 and supply it as a source of carbon to methanation processes hence to produce synthetic methane. In this study, we

As the only resort to realize the low-carbon utilization of high-carbon fuel, CCUS has attracted considerable attention from experts in various fields. However, the global demonstration of CCUS has not gone well for several reasons. Multiple technical options, diverse combinations of schemes and complex evaluation systems of CCUS are crucial reasons. Another key point is the diverse concerns of key

Achieving carbon neutrality would reshape energy supply systems, and proper planning could ensure transition smoothly and reduce costs. Energy infrastructure is imperative in system planning, due to long life-span and massive investment. System planning with detailed infrastructure layout could improve the feasibility of transition blueprints, whilst the layout of carbon neutral energy supply systems

Multi-area economic dispatch (MAED) is an important non-linear optimization problem in power system operation. MAED involves multiple power generation areas, and minimizes the total fuel cost by determining the power generation within areas and the power interchange between areas. This paper proposes an improved competitive swarm optimization (ImCSO) algorithm to solve the MAED problems. The ImCSO

New advances in CAES have demonstrated the benefits of trigenerative concept (T-CAES), especially in off-grid sites. Many studies focused on thermodynamic optimization of design and operation parameters of the system. They underlined the importance of extending research objectives to techno-economic assessment of the system. The aim of this study is to investigate the T-CAES economical aspect, by coupling

Power grid operations increasingly interact with environmental systems and human systems such as transportation, agriculture, the economy, and financial markets. Our objective is to discuss the modelling gaps and opportunities to advance the science for multisector adaptation and tradeoffs. We focus on power system operational models, which typically represent key physical and economic aspects of grid

District heating system (DHS) is a major part of urban energy system. DHS consists of primary and secondary loop. Compared to the primary loop, the secondary loop is closer to the heating user side. The operation control of heating substation and its corresponding secondary loop is a challenging topic. At present, the existing control of secondary loop is a manual and intermittent regulation process

To mitigate CO2 emission, the utilization of renewable resources is expected to grow with the wide and active implementation of electrified energy systems. Process industry, one of the most energy-intensive sectors, is strongly demanded to keep up with the trend to improve sustainability. The application of Power-to-Heat technologies to industrial energy systems would bring enormous benefits to the

Tubular heat exchangers for natural convection can be found in many industrial applications. In order to develop the high-efficiency natural convection radiator, the heat dissipation characteristics of vertically oriented 3-dimensional (3-D) finned tubes under the condition of non-forced convection were studied experimentally. The airflow and temperature distribution outside the tubes were analyzed

Non-uniformity is a relevant concern of concentrator photovoltaic systems (CPV) due to its impact on the performance of multi-junction (MJ) solar cells. This work is focused on a state-of-the-art investigation related to the effects of shading on the irradiance profiles and electrical performance of MJ cells. For doing this, three different CPV single-units with a concentration of ≈559x have been experimentally

The energy production from phytomass on agricultural and forest lands can be calculated on the basis of the annual production of hydrocarbons (cellulose, starch, sugar, etc.), without needing to take into account the type of phytomass and the mean-weighted specific power production per unit of land area. Land with a mostly uniform climate and soil class produces similar specific power per unit of land

The steam pyrolysis of pinewood sawdust has been conducted in a bench scale plant provided with a conical spouted bed reactor (CSBR). This process is of uttermost relevance for the in-line valorisation of pyrolysis volatiles, specifically for their catalytic steam reforming for hydrogen production. The influence of temperature on he product yields has been analysed in the 500-800 ºC range. A detailed

This paper investigates the electrical behavior of total cross tied (TCT), SuDoKu (SDK) and killer-SDK (KSDK) configurations under several shading conditions. Three different types of bypass diode (BD) arrangements for these PV arrays (PVAs) have been reported and the considered different BD arrangements are without BD (WBD), non-overlapped BD (NBD) and overlapped BD (OBD). Due to the occurrence of

In the current study, advanced exergo-dynamic analysis of a micro-turbo jet (μ-jet) along with conventional exergy analysis is presented in various running shaft speed modes. In this context, major advanced exergetic indicators of μ-jet components are evaluated at the various running testing. The operation modes were represented as operation shaft speeds between 48,850 and 77,000 RPM (revolution per

In recent years, the world's crude-oil production has stopped increasing. Many oilfields have entered the high water-cut stage. Therefore, it is very important to reduce the energy consumption of high water-cut oilfield under limited oil production. In view of the lack of research on the overall energy consumption of the entire oilfield, three subsystems of injection, reservoir, and production are

The industry is a crucial actor towards the energy transition with the possibility to adopt new energy strategies including a prosumer model. However, industries are struggling to adopt smart energy approaches, and initiatives supporting them should be improved. To enhance industrial participation in energy transition, it is required to assess the optimal energy infrastructure considering its economic

Several cities are currently developing strategies in order to lower the emissions of their building heat supply to zero. Nevertheless, up to now there is no heat transformation guideline addressing questions such as the steps required to develop a transformation strategy and their order, the maturity levels of transformation strategies, or existing transformation measures and a viable methodology

This work evaluates the impacts of ambient temperature and trip characteristics on the energy consumption of an electric vehicle (EV) during road tests. The trip characteristics are here defined by the driving distance, stop time percentage and average vehicle speed. The analysis uses data collected from real-world driving of an EV in one of the most populous metropolitan regions in the UK for almost

To deal with the heavy operational expenditures of the fifth-generation (5G) telecom service providers (TSPs), powering 5G base stations (BSs) with renewable energy (RE) and stimulating a good interaction between the RE-BS and the smart grid is recognized as an effective and practical solution. However, the existing researches on the interaction between RE-BSs and the smart grid mainly study from the

The transition to a low carbon energy system as laid out in the Paris Agreement and the European Green Deal presents challenges that involve society at all levels from planners to consumers. A key challenge is the communication across these levels. Tools to foster engagement and discussion between the different actors are open-source models with a low threshold for uptake. This paper presents the Open-Source

This article introduces the problem of performance guarantee design for hybrid power plants (HPPs) with renewable generation. To solve it we propose a novel framework for the determination of performance guarantee levels under weather and load uncertainty. The framework is intended as a decision support tool for HPP solution providers during contract negotiations with owners, where they have to strike

Organic Rankine cycle (ORC) is an effective way for low to medium grade heat to power conversion. A suitable cycle form (subcritical or trans-critical, whether to use a regenerator) is the guarantee of good cycle performance. The selection of cycle forms strongly depends on the heat source conditions. In this work, the heat source types and ORC forms are introduced firstly. Then the cycle form selection

Improvement of process efficiency and reduction of operation costs are of significant importance in industrial chemical plants. In this study, an effective approach is proposed to analyze a hydropurification process, focusing on energy utilization, operating costs, environmental impact (e.g., CO2 emissions), and exergy performance. The hydropurification process includes heat exchangers, pumps, crystallizers

One main challenge facing nanofluid filters in PV/T systems is their long-term dispersion stability. This work studies the stability of the Ag@SiO2 nanoparticles suspended in propylene glycol (PG)-based fluids for use as optical filters. These nanofluid filters are subjected to high temperature heating test and thermal cycling test to analyze their thermal stability and identify appropriate base fluids

As an effective means to improve the efficient use of energy, multi-energy coupled systems have indicated the important direction for the development of Energy Internet in the foreseeable future. However, the uncertainties that exist in various energy networks present severe challenges to the implementation of this innovative system. In this regard, this paper proposed a multi-stage robust optimization

Rapid urban expansion and economic development have prompted extensive demands for resources. Energy, water, and land (EWL) are typical elements in urban food-energy-water systems, and demand for these elements pose challenges to achieving economic and environmental sustainability of cities. Previous studies paid more attention to one or two elements flows on the basis of a single sectoral approach

This article proposes a two-stage system for the daily energy management of micro-grids (MGs) in the presence of wind turbines, photovoltaic (PV) panels, and electrical energy storage systems (ESSs). Each MG uses historical data to predict its consumers' load demand, wind speed, and solar irradiance in the first stage. In the second stage, the cooperative game method is used to determine the MG's daily

A self-powered energy harvester for real roads to predict and detect black ice formation and pinpoint dangerous road sections was developed. An open-type piezoelectric device was developed for a high-efficiency module to achieve uniform stress distribution for enhanced energy harvesting performance by free-fixed-end type central strike mechanism. The output performance of the open-type device was 80%

Pumped thermal electricity storage (PTES) systems have attracted increasing attention, owing to high energy density, low cost, flexible adjustable energy storage duration, and lack of geographical restrictions. At present, theoretical research for PTES is relatively deep. Further reduction of investment costs is of great value to its development and application. This paper proposes a 10-MW PTES system

The change of saturation levels and fluid types during steam-assisted gravity drainage (SAGD) production significantly influences elastic properties of oil sands. However, experimentally establishing petrophysical-elastic parameters relationships of oil sands that govern the SAGD process remains a challenge. Here, with modified low impedance transducers and an optimized measurement workflow, oil sands

To alleviate the pressure on energy and the environment, and promote the upgrading of automobile industry, it is imperative to ban the sale of gasoline vehicles. Therefore, based on co-evolutionary game theory, we considered consumers, automobile production enterprises, and the government involved in banning gasoline vehicles. The main results are as follows. (1) When the potential benefits of enterprises

Great challenges face many researchers in constructing an equivalent circuit for solid oxide fuel cell as the constructed model should converge to the actual one. There is lack of some parameters in the datasheet provided by the manufacturer. This paper proposes a new methodology based on a recent political optimizer to solve the problem of identifying the unknown parameters of fuel cell equivalent

This paper proposes alternative methodologies for oil price forecasting using mixed-frequency data and a textual sentiment indicator. The latter variable was extracted from oil market reports issued by the Energy Information Administration. We used the root mean square error (RMSE) to evaluate the forecasting accuracy of the econometric models. Compared with other econometric models, the mixed data

When integrating the gravity heat pipe with solar collector , namely solar gravity heat pipe (SGHP), the diameters of the evaporator and condenser are usually unequal, namely unequal diameter gravity heat pipe (UDGHP). Compared with the equal diameter gravity heat pipe (EDGHP), there are few studies focusing on operating pattern of the UDGHP. In this work, a numerical model for the UDGHP is firstly

A hydrogen liquefaction process combined with bioethanol producing hydrogen process and multistage compressor process is designed, simulated and analyzed. Its specific energy consumption (SEC) and coefficient of performance (COP) are 5.41 kWh/kgLH2 and 22.38 %, respectively, and the functional exergy efficiency is 71.13 % for entire process and 53.61 % for the hydrogen liquefaction process. The systematic

A non-equilibrium multilayer thermodynamic model is developed to predict the thermal stratification and rollover phenomena in liquefied natural gas (LNG) storage tanks. This model considers the boundary layer formation along the tank walls and uses an adaptive mesh to accommodate the changes in the LNG level in the tank over time. The accuracy of the model is verified against experiment data available

Accurate state-of-health (SOH) estimation for lithium-ion batteries is of great significance for future intelligent battery management systems. This study proposes a novel method combining voltage-capacity (VC)-model-based incremental capacity analysis (ICA) with support vector regression (SVR) for battery SOH estimation. For accurate and efficient capture of IC curves, 18 VC models are first compared

Nowadays, the photovoltaic-energy storage system (PV-ESS) has not achieved large-scale development. The role of ESS incentive mechanisms has been emphasized for promoting the diffusion of PV-ESS technology. Therefore, to explore reasonable ESS incentive mechanisms in China, this paper develops a compound real options model by considering the flexibilities and uncertainties of the investment and operational

In unconventional resource exploitation, an accurate evaluation of the oil content in shale is essential for locating favorable exploration zones. However, the substantial heterogeneity in shales has caused significant uncertainty in exploration. The commonly applied oil content evaluation model uses a single oil movable threshold (OMT) as a constraint. However, the OMT value is not unique in shale

With the penetration of intermittent renewable energy sources, greater uncertainty has been brought to the power generation system, creating increased challenges to real-time pricing (RTP). Different from the existing studies, this paper aims to design an RTP strategy for the smart grid which integrates multi-energy generation on the supply side. Without loss of generality, small-scale distributed

Renewable energy is becoming more popular due to environmental concerns about the previous energy source. Accurate solar photovoltaic system model parameters substantially impact the efficiency of solar energy conversion to electricity. In this matter, swarm and evolutionary optimization algorithms have been widely utilized in dealing with practical problems due to their more straightforward concepts

This study focuses on the control of dimethyl ether (DME) autothermal reforming (ATR) process integrated with proton exchange membrane fuel cells to provide adequate external power for an on-board reformer hydrogen vehicle. ATR reaction was made over Pd–Zn/γ-Al2O3 catalyst, which provides higher selectivity to the hydrogen due to its good oxidation and reforming activities. Catalyst activity was tested

Co-firing coal and biomass has the potential to reduce GHG emissions. However, high levels of alkali and alkaline metals in biomass ash can bring additional issues to the operation of coal-fired boilers. This study investigates the effects of ilmenite as the bed material on CO and NOx emissions and combustion efficiency of a coal and biomass blend, and the agglomeration tendency of the bed material