Antun Pfeifer^1,*, Dongran Song², Mohamed Talaat Moustafa³, Neven Duić^1,4

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.079714 - 27 March 2026

Abstract The energy transition increasingly requires holistic approaches that integrate electricity, heating and cooling, water management, industrial processes, transport, and environmental considerations within coherent system frameworks. Such integration is essential for achieving deep decarbonisation while maintaining reliability, affordability, and resource efficiency across diverse regional and sectoral contexts. This Special Issue of Energy Engineering presents selected contributions from the 2024 Conferences on Sustainable Development of Energy, Water and Environment Systems (SDEWES), reflecting recent advances in modelling, system integration, and technology deployment. The included papers address a broad spectrum of challenges relevant to integrated energy–water–environment systems. These include building-sector… More >

Anthony Dyson, Tamer Kamel^*, Marcel Ambroze

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.078417 - 27 March 2026

Abstract This study provides a new experimental framework to measure the static and dynamic electrical parameters for a solar panel of multiple cells. The study evaluates its static parameters, including its resultant diodes’ saturation currents, diodes’ ideality factors, series, and shunt resistances. Such parameters are essential to characterise the steady-state performance of a solar panel. Additionally, the dynamic parameters as the equivalent junction and diffusion capacitances are also experimentally measured. These parameters impact the performance of the panel at variable solar irradiance, temperature, and load conditions. A solar panel of 36 series-connected cells has been utilised… More >

Leonid Plotnikov^1,*, Leonid Osipov¹, Danil Davydov¹, Dmitry Krasilnikov¹, Alexander Ryzhkov²

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.076278 - 27 March 2026

Abstract The use of alternative fuels to generate mechanical and thermal energy in engines is a promising and sought-after technological area with its own unique advantages and characteristics. Consequently, enhancing the technical, economic, and environmental efficiency of gas engines fueled by propane-butane mixture and syngas through optimized operating cycle parameters (including valve timing, ignition timing angle, fuel mixture composition, and compression ratio) is a pressing imperative for scientific and energy sectors. The aim of the study was to investigate and compare the performance of an engine with different compression ratios running on a propane-butane mixture and… More >

Aws F. Hassan^*, Jamal A.-K. Mohammed, Walaa M. Hashim

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075837 - 27 March 2026

Abstract The current study aims to improve the performance of the electrohydraulic servo system (EHSS) by increasing the volumetric efficiency of the pump and reducing electrical power consumption to a minimum value. An experimental setup has been designed and built to control the cylinder position using a programmable logic controller to provide the appropriate motor speed from the AC drive to control the velocity of the hydraulic actuator; the induction motor is driven by an AC drive using a tune proportional-integral-variable frequency drive (TPI-VFD) space vector modulation (SVM) hybrid technology. Theoretically, it was analyzed and simulated… More >

Aditya Mairal^*, Todd Rossi, Michael Muller

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075576 - 27 March 2026

Abstract An integral part of the effort to reduce greenhouse gas emissions is carbon footprint accounting. EPA categorizes facility carbon footprints in three scopes. Scope-2 emissions include electricity, heat or steam purchased from a utility provider. This paper evaluates the existing calculation methods for scope-2 CO₂ emissions for purchased electricity. The electricity grid in US is complex and is divided spatially into states, eGRID regions, balancing authorities (BAs), and utilities. Up to hourly temporal granularity can be obtained from available datasets. A matrix is developed that categorizes different datasets based on the complexity to calculate the carbon… More >

Polina A. Tretyakova^*, Alexey P. Belkin, Alexander A. Rumyantsev, Anna A. Menshikova

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.075393 - 27 March 2026

Abstract Limited adoption of solar energy in the Northwestern region of Russia is associated with insufficient data on annual solar radiation indicators and on the potential of solar collectors for water heating. The study aims to evaluate the potential of solar water heating for domestic use in Northwestern Russia, using Tyumen city as the case. In this region, the number of cloudy days ranges from 5% to 50%, with cloud cover increasing in winter. New data on the total solar radiation, availability duration, and cloud cover have been collected. Solar irradiance could reach 900 MJ/m² during summer… More >

Sanjit Brahma^*, Ranjay Das

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075245 - 27 March 2026

Abstract A wind-turbine power system is often challenged by voltage instability, reactive power imbalance, and limited fault ride-through capability under grid disturbances. Doubly Fed Induction Generator based wind farms, owing to their partial coupling with the grid, are particularly vulnerable to voltage dips and excessive reactive power absorption during fault events. This study proposes an adaptive control strategy based on Model Reference Adaptive Control integrated with stator flux-oriented vector control to regulate active and reactive power of a DFIG-based wind farm connected to a standard IEEE 9-bus power system under fault conditions. The proposed control scheme… More > Graphic Abstract

Mahboobeh Attaei^1,2, Maria Vieira¹, Cinthia Maia Pederneiras^3,4,*, Filipa Clara Coimbra¹, David Bastos¹, Rosário Veiga³

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.074246 - 27 March 2026

Abstract The construction industry is a significant contributor to global CO₂ emissions, and urgent innovation is needed to mitigate its environmental impact. This paper provides a comprehensive review of scalable approaches for CO₂ uptake in construction materials, including the injection of CO₂ into fresh concrete, the CO₂ curing of precast concrete, and the use of ceramics as CO₂ sinks. Among these three approaches, CO₂ curing methods for concrete represent the most advanced and widely adopted strategies within industrial practice, with substantial research supporting their effectiveness and scalability. The comparison of carbonation mineralisation across three distinct material groups reveals that… More > Graphic Abstract

Chunting Liu¹, Xiaozhi Shi¹, Juhui Zhu¹, Bin Guan¹, Subing Wang¹, Le He¹, Tianjun Qi¹, Wenjun Xu^2,3,4, Shun Qiu^2,3,4,*

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.073233 - 27 March 2026

Abstract To investigate the long-term fracture conductivity behavior of propped fractures under the high-temperature and high-pressure conditions of deep shale gas reservoirs in the Sichuan Basin, this study systematically analyzed the effects of closure stress, proppant concentration, formation temperature, and proppant size combination. Conductivity experiments were conducted using the HXDL-2C long-term proppant conductivity evaluation system under simulated reservoir conditions to determine the time-dependent evolution of fracture conductivity. The results showed that the 50-h conductivity retention of the rock-plate experiments ranged from 22% to 28%. With increasing closure stress, fracture conductivity exhibited a rapid decline. Under a… More >

Hongbo Sun¹, Xingyu Jiang^1,*, Wenyao Sun¹, Yi Zhao¹, Jifeng Cheng², Xiaoyi Qian¹, Guo Wang³

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.073012 - 27 March 2026

Abstract The accuracy of photovoltaic (PV) power prediction is significantly influenced by meteorological and environmental factors. To enhance ultra-short-term forecasting precision, this paper proposes an interpretable feedback prediction method based on a parallel dual-stream Temporal Convolutional Network-Bidirectional Long Short-Term Memory (TCN-BiLSTM) architecture incorporating a spatiotemporal attention mechanism. Firstly, during data preprocessing, the optimal historical time window is determined through autocorrelation analysis while highly correlated features are selected as model inputs using Pearson correlation coefficients. Subsequently, a parallel dual-stream TCN-BiLSTM model is constructed where the TCN branch extracts localized transient features and the BiLSTM branch captures long-term… More >