Power Generation Potential Research Articles

Investigation of pressure distribution in an Archimedes Screw Turbine with head below one meter using CFD

In the shift from fossil fuel-based energy, the imperative of tapping into water resources as a renewable energy reservoir is underscored. This study delves into the potential of low-head water for small-scale power generation, specifically focusing on the Archimedes turbine designed for operation in such conditions. The primary objective is meticulously examining pressure characteristics at varying heads (0.7 m, 0.8 m, 0.9 m, and 1 m) using Computational Fluid Dynamics (CFD). These parameters play a crucial role in defining the turbine's performance landscape. Data analysis reveals a notable reduction in the Archimedes turbine's efficiency as the head diminishes. Interestingly, the double-screw Archimedes turbine demonstrates optimal performance at higher flow rates, particularly at a volumetric flow rate of 0.025 m3/s. Despite the peak performance at a 1-meter head, discernible pressure patterns suggest sufficient kinetic energy within lower head flows (down to 0.7 meters) to facilitate turbine rotation. This study contributes to a more rigorous understanding of the Archimedes turbine's performance under varied head conditions, emphasizing the potential for practical power generation at lower head levels.

Geothermal power generation potential in the United States by 2050

Geothermal energy provides a dispatchable source of carbon-free electricity that can balance the output of variable resources. However, geothermal provides just 3.7 gigawatts (GW e ) ( < 1%) of electricity in the United States today, mostly from hydrothermal resources that are geographically constrained. Enhanced geothermal systems (EGS), which extract heat from deep rock, could be applicable in more locations. However, baseline levels and potential trends in EGS costs have been insufficiently characterized by previous studies. Here, we assess geothermal penetration potential by using as baseline the latest available data on drilling costs from three costing models to create updated estimates of costs and performance. We input those estimates along with various scenarios of cost trends, emissions policies, and electricity demand into the regional energy deployment system (ReEDS) capacity expansion model to simulate electricity generation in the United States through 2050. The scarcity of hydrothermal resources limits deployments to no more than 18 GW e across our scenarios. EGS is more costly than hydrothermal for now, but it has greater potential to scale nationwide. Thus, future deployments of EGS depend strongly on projected cost reductions and emissions policies. In scenarios with moderate ( < 50%) reductions in costs by 2050, very little EGS is likely to be built, since wind and solar with storage provide lower-cost electricity. However, over 70% cost reductions from our updated baseline would make geothermal the least-cost carbon-free dispatchable resource. Under those cost trends, we project that 3 GW e of EGS would be built by 2050 under existing policies, 11 GW e with a 95% decarbonization policy, and 152 GW e if full decarbonization of electricity is mandated. Most geothermal would likely first be built in western states with the steepest subsurface temperature gradients, although mandates for full decarbonization could drive it to be deployed in other states.

Unsupervised learning-based image recovery and diagnosis method for blade attachment of marine current turbine

Marine current energy is a clean and renewable resource that is an available energy source with future power generation potential. However, complex subsea conditions can cause blade failures in marine current turbines (MCTs); therefore, the fault diagnosis of MCTs is essential to ensure their good operation. Image-based diagnosis is a nondestructive approach. To improve the efficiency of using human capital, this study uses the unsupervised learning network GANomaly trained only with normal samples to diagnose the leaf attachment of MCTs. Marine biofouling is a lengthy process, and according to the literature, the blades were contaminated by a 1.1-mm-thick layer of lithium lubricating grease, therefore, this study uses ropes to simulate this attachment. First, we address the problem of blurred underwater images collected using a multiscale retinex enhancement algorithm with color recovery to form a new dataset. GANomaly is modified to diagnose MCT blades with different attachment degrees. The experimental results show that the accuracy of the enhanced dataset is improved by 1.75 %, and the accuracy of the improved GANomaly model reaches 91.23 %, thereby enhancing the efficiency of the fault diagnosis of MCTs.

High nitrogen removal and electricity generation of anaerobic fluidized bed coupled microbial fuel cell for Anammox

The current challenge in wastewater denitrification lies in the treatment of low carbon to nitrogen ratio(C/N) wastewater. Integrating Anaerobic Ammonia Oxidation(Anammox) with a microbial fuel cell(MFC) enables simultaneous pollutant removal and electricity generation, leading to enhanced treatment efficiency and reduced energy consumption. However, achieving stable and effective treatment effects under high nitrogen concentration conditions remains a general research difficulty. The Anaerobic fluidized bed MFC(AFB-MFC) experiment successfully integrated Anammox ammonia oxidizing bacteria (AnAOB) into the anode and cathode chambers, resulting in a continuous operation for 258 days. The reactor successfully initiated operation within 48 days and maintained stable performance within an NLR range of 0.5–1.0 kgN/m3/d. The system performance was found to be influenced by DO and substrate concentration, demonstrating consistent high nitrogen removal ability across different HRT. Ultimately, the Anammox AFB-MFC achieved a nitrogen removal efficiency (NRE) of 96.89%, while its power generation performance gradually improved, yielding a final output voltage ranging from 370 to 420 mV. The microbial community within the reactor comprised diverse electricity-producing bacteria and AnAOB. This study highlights the excellent denitrification and power generation potential of Anammox AFB-MFC under low energy consumption conditions and provides theoretical groundwork for the practical implementation of Anammox.

Hydrokinetic resource assessment in Colombia’s Non-Interconnected Zones: Case study

Energy accessibility in Non-Interconnected Zones (NIZ), together with the energy transition context, converges on exploring non-conventional renewable energy sources and the technology to harness them. Hydrokinetics is an interesting and abundant resource in Colombia, present in many cases near NIZ communities but with unavailable information about (flow velocity) its actual power generation potential. This work presents a method to assess the hydrokinetic resource in NIZ based on the estimation of river flow velocity from river discharge, river level, and cross-sectional profile data available from the Colombian Institute of Hydrology, Meteorology and Environmental Studies (IDEAM). It is applied in a case study where a year of data was studied to characterise the hydrokinetic resource and match a local household load demand with the potential power generation of a hydrokinetic turbine. An average river flow velocity of 1.14 m/s was obtained, showing a consistent behaviour that means reliability in potential energy production. This approach could be helpful for researchers or power suppliers who aim to harness hydrokinetic resources near NIZ users with hydrokinetic technology in the project planning stages.

Multiscale Phonon Scattering for Ultra‐Low Thermal Conductivity in Co‐Doped ZrCoBi Half‐Heusler

AbstractZrCoBi‐based half‐Heuslers have great potential in thermoelectric power generation due to their high performance in both n‐ and p‐type constituents. In this work, Te and Ni is adopted as an n‐type co‐dopant to increase the carrier concentration and lower the lattice thermal conductivity of ZrCoBi. By further alloying with Sb at the Bi site, a large number of scattering centers of different scales are introduced, significantly reducing the lattice thermal conductivity to ≈1.2 W m−1 K−1 at 300 K and ≈0.96 W m−1 K−1 at 973 K in ZrCo0.94Ni0.06Bi0.775Te0.075Sb0.15. Consequently, the state‐of‐the‐art figure‐of‐merit zT ≈1.2 is achieved, and the average zT reached ≈0.66, which is higher than all of the reported n‐type ZrCoSb‐based and ZrCoBi‐based half‐Heusler alloys. This work provides an effective pathway for optimizing n‐type ZrCoBi alloys, laying the foundation for their further development and application in thermoelectric power generation.

Simulation and experimentation of Propeller-Savonius turbine tested underwater surface

Abstract Indonesia’s vast maritime territory offers a unique opportunity for harnessing the potential Energy of seawater currents. This study explores the effectiveness of a combined Savonius and propeller-type turbine system. The Savonius turbine, known for its efficiency in capturing ocean currents due to its large sweep area, is combined with a propeller-type turbine to enhance rotational speed and power generation. A novel approach is employed to induce turbulence and optimize energy extraction, first channeling water through the propeller turbine and then into the Savonius turbine. A comprehensive investigation is conducted through simulations and experimental tests within a controlled tunnel environment. The study explores the performance of two-bladed and three-bladed Propeller-Savonius configurations at varying inlet water velocities (0.1, 0.3, 0.6 and 1.0 m/s). The simulation incorporates a turbulence model with 5% intensity and a hydraulic diameter of 0.216 m. Results indicate that the proposed configuration achieves a maximum power output of 2.0293 W with an impressive efficiency of 63.339% in simulation. Concurrently, experimental testing yields a peak efficiency of 61.335% and turbine power of 0.3951 W. The findings demonstrate the feasibility of the combined turbine system and highlight the importance of turbulence in optimizing energy extraction from seawater currents. This research contributes valuable insights into the design and performance of hybrid turbines for harnessing oceanic Energy, emphasizing the potential for sustainable power generation in maritime regions. The methodology and results presented herein offer a foundation for further exploration and refinement of seawater current energy conversion technologies.

Regulation of V2O5 layer spacing by controlling H2O/C2H5OH ratio in hydrothermal process for application in electrochemical conversion of salinity gradient energy

Another abundant source of renewable energy exists in the oceans, where the chemical energy released from the mixing of seawater and river water is known as salinity gradient energy or blue energy. Salinity gradient energy is a sustainable, clean and renewable energy source that produces electricity without emitting greenhouse gasses or other pollutants. In this work, we constructed a new salinity gradient energy extraction device by preparing V2O5 in a very simple way by controlling H2O/C2H5OH ratio in hydrothermal process and using the V2O5 as an anode to obtain salinity gradient energy by utilizing the salinity change of the solution and thus the potential difference power generation. The results show that ethanol forms hydrogen bonds or van der Waals forces with the layered material, which enters the interlayer to enlarge the spacing between the layers of V2O5 and further increase the electrochemical properties of V2O5. The maximum energy density produced by the device was 6.29 J g−1 after one complete cycle. The device is environmentally friendly with low cost, easy to synthesize raw materials and does not use ionic membranes, which provides a new way to harvest the salinity gradient energy.

Are Regions Conducive to Photovoltaic Power Generation Demonstrating Significant Potential for Harnessing Solar Energy via Photovoltaic Systems?

To achieve the goals of carbon peak and carbon neutrality, Xinjiang, as an autonomous region in China with large energy reserves, should adjust its energy development and vigorously develop new energy sources, such as photovoltaic (PV) power. This study utilized data spatiotemporal variation in solar radiation from 1984 to 2016 to verify that Xinjiang is suitable for the development of PV power generation. Then, the averages of the solar radiation, sunshine duration, and other data in the period after 2000 were used to assess the suitability of Xinjiang, based on spatial principal component analysis (SPCA). Finally, the theoretical power generation potential, fossil fuel reduction, and CO2 emissions reduction were estimated. The results are as follows: (1) In terms of temporal variation, the solar radiation in Xinjiang decreased (1984–2002), increased (2002–2009), and decreased again (2009–2016), but the fluctuations were not statistically significant. In terms of spatial distribution, the Kunlun Mountains in southern Xinjiang had the highest solar radiation during the span of the study period. Hami and Turpan, in eastern Xinjiang, had sufficiently high and stable solar radiation. (2) The area in Xinjiang classed as highly suitable for solar PV power generation is about 87,837 km2, which is mainly concentrated in eastern Xinjiang. (3) In the situation where the construction of PV power plants in Xinjiang is fully developed, the theoretical potential of annual solar PV power generation in Xinjiang is approximately 8.57 × 106 GWh. This is equivalent to 2.59 × 109 tce of coal. Furthermore, 6.58 × 109 t of CO2 emissions can be reduced. PV power generation potential is approximately 27 times the energy consumption of Xinjiang in 2020. Through the suitability assessment and calculations, we found that Xinjiang has significant potential for PV systems.

Study on the effects of acetone and R141b on the performance of micro heat pipe PV/T systems

Photovoltaic/thermal (PV/T) system could convert solar energy to high-grade electrical and thermal energy, which has significant application value in various aspects such as energy, environment, lifestyle, and economy. The new-developed micro heat pipe PV/T(MHP-PV/T) has excellent potential for combined heat and power generation in cold regions. To elevate the combined thermoelectric performance of MHP-PV/T through heat transfer enhancement ulteriorly, it is of great necessity to research the impacts of working fluids on the performance of MHP-PV/T systems. Two sets of MHP-PV/T systems were constructed, using R141b and Acetone micro heat pipes. We compared their comprehensive performance in terms of electrical and thermal properties using a combination of theoretical and experimental analysis. The performances of two sets of MHP-PV/T systems were compared when the panel inclination angles were 35°, 40°, 45°, and 50° and flow rates of circulating water pump were 5.6 L/min and 7.6 L/min respectively. The results showed that R141b MHP-PV/T systems exhibited higher performances than the acetone MHP-PV/T under all working conditions. When the panel inclination angle was 45°, the average thermal power, average electrical power, average thermal efficiency, and average electrical efficiency of R141b MHP-PV/T were 341.8W, 125.8W, 34.1 %, and 12.0 % , which were 58.5W, 50.0 W, 6.8 % and 4.4 % higher than those of acetone MHP-PV/T respectively. In summary, the performance differences of working fluids were systematically compared between acetone and R141b in MHP-PV/T and the results are of great significance to the future application of PV/T in cold regions.

Performance Rating and Flow Analysis of an Experimental Airborne Drag-Type VAWT Employing Rotating Mesh

This paper presents the results of a performance analysis conducted on an experimental airborne vertical axis wind turbine (VAWT), specifically focusing on the MAGENN Air Rotor System (MARS) project. During its development phase, the company claimed that MARS could generate a power output of 100 kW under wind velocities of 12 m/s. However, no further information or numerical models supporting this claim were found in the literature. Extending our prior conference work, the main objective of our study is to assess the accuracy of the stated rated power output and to develop a comprehensive numerical model to analyze the airflow dynamics around this unique airborne rotor configuration. The innovative design of the solid model, resembling yacht sails, was developed using images in the related web pages and literature, announcing the power coefficient (Cp) as 0.21. In this study, results cover 12 m/s wind and flat terrain wind velocities (3, 5, 6, and 9 m/s) with varying rotational velocities. Through meticulous calculations for the atypical blade design, optimal rotational velocities and an expected Tip Speed Ratio (TSR) of around 1.0 were determined. Introducing the Centroid Speed Ratio (CSR), which is the ratio of the sail blade centroid and the superficial wind velocities for varied wind speeds, the findings indicate an average power generation potential of 90 kW at 1.4 rad/s for 12 m/s and approximately 16 kW at a 300 m altitude for a 6 m/s wind velocity.

RETRACTED: Elasticity of substitution between clean energy and non-clean energy: Evidence from the Chinese electricity industry

At present, China is in a stage of high-quality economic development. Rising demand for electricity has created a lot of CO2 emissions, which has put great pressure on the low-carbon development of China's power industry. Therefore, China attaches great importance to the potential of various clean power generation to replace thermal power generation. Given this, the study examines the potential for substitution of non-clean energy generation (thermal power generation) and clean energy generation (hydropower, nuclear power generation, and other energy generation) from 1993 to 2022 by using the translog production function and provides a scenario analysis of energy substitution for power generation. Firstly, the k-fold cross-validation method is used for ridge regression estimation in this paper, which avoids the subjective bias caused by the ridge trace diagram method used in most of the previous literatures. Secondly, compared with the previous research on the substitution elasticity of the power sector, this paper subdivides the types of clean power energy when estimating the substitution elasticity, which can better analyze the substitution relationship between thermal power and various clean power. Finally, the estimated substitution elasticity of thermal power and various clean energy sources is greater than 1, which indicates that clean energy generation can effectively replace non-clean energy generation. This provides an effective substitution elasticity parameter for the power sector to study low-carbon development. The scenario analysis show China's power sector can increase the proportion of clean power generation to reduce the carbon emission intensity while ensure power supply, which can help the Chinese government adjust the implementation of policies to promote the early peak of carbon emissions and keep carbon emission at a low level in the power sector.

Hydrological constraints on the potential of enhanced geothermal systems in the ductile crust

Continental crust at temperatures > 400 °C and depths > 10–20 km normally deforms in a ductile manner, but can become brittle and permeable in response to changes in temperature or stress state induced by fluid injection. In this study, we quantify the theoretical power generation potential of an enhanced geothermal system (EGS) at 15–17 km depth using a numerical model considering the dynamic response of the rock to injection-induced pressurization and cooling. Our simulations suggest that an EGS circulating 80 kg s−1 of water through initially 425 ℃ hot rock can produce thermal energy at a rate of ~ 120 MWth (~ 20 MWe) for up to two decades. As the fluid temperature decreases (less than 400 ℃), the corresponding thermal energy output decreases to around 40 MWth after a century of fluid circulation. However, exploiting these resources requires that temporal embrittlement of nominally ductile rock achieves bulk permeability values of ~ 10–15–10–14 m2 in a volume of rock with dimensions ~ 0.1 km3, as lower permeabilities result in unreasonably high injection pressures and higher permeabilities accelerate thermal drawdown. After cooling of the reservoir, the model assumes that the rock behaves in a brittle manner, which may lead to decreased fluid pressures due to a lowering of thresholds for failure in a critically stressed crust. However, such an evolution may also increase the risk for short-circuiting of fluid pathways, as in regular EGS systems. Although our theoretical investigation sheds light on the roles of geologic and operational parameters, realizing the potential of the ductile crust as an energy source requires cost-effective deep drilling technology as well as further research describing rock behavior at elevated temperatures and pressures.

Evaluation Model of Distributed Photovoltaic Utilization in Urban Built-Up Area

Photovoltaic (PV) power generation is emerging as a key aspect of the global shift towards a more sustainable energy mix. Nevertheless, existing assessment models predominantly concentrate on predicting the overall capacity of PV power generation, often neglecting temporal dynamics. Drawing upon the urban energy substitution rate, utilization rate, and power supply stability, this study has devised a comprehensive evaluation model for the utilization of distributed photovoltaic systems (SUS). This model integrates the quantification of spatio-temporal features inherent in urban settings and buildings. Using Hohhot city as a case study, this study conducted simulations to analyze how the installation of PV systems affects the electricity consumption patterns across different land plots within the urban core. The study additionally examines how urban planning influences the adoption of PV power, taking into account both the timing of PV power usage and the stage of PV technology development. The evaluation model surpasses the constraints of current urban PV assessments, which primarily emphasize enhancing power generation potential without adequately quantifying supply–demand dynamics or spatial and temporal variations. This breakthrough significantly improves the precision and reliability of assessing the efficiency of distributed PV systems. Its implications extend widely to subsequent comprehensive evaluations of urban PV applications.

Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees

In the face of environmental degradation and diminished energy resources, there is an urgent need for clean, affordable, and sustainable energy solutions, which highlights the importance of wind energy. In the global transition to renewable energy sources, wind power has emerged as a key player that is in line with the Paris Agreement, the Net Zero Target by 2050, and the UN 2030 Goals, especially SDG-7. It is critical to consider the variable and intermittent nature of wind to efficiently harness wind energy and evaluate its potential. Nonetheless, since wind energy is inherently variable and intermittent, a comprehensive assessment of a prospective site's wind power generation potential is required. This analysis is crucial for stakeholders and policymakers to make well-informed decisions because it helps them assess financial risks and choose the best locations for wind power plant installations. In this study, we introduce a framework based on Copula-Deep Learning within the context of decision trees. The main objective is to enhance the assessment of the wind power potential of a site by exploiting the intricate and non-linear dependencies among meteorological variables through the fusion of copulas and deep learning techniques. An empirical study was carried out using wind power plant data from Turkey. This dataset includes hourly power output measurements as well as comprehensive meteorological data for 2021. The results show that acknowledging and addressing the non-independence of variables through innovative frameworks like the Copula-LSTM based decision tree approach can significantly improve the accuracy and reliability of wind power plant potential assessment and analysis in other real-world data scenarios. The implications of this research extend beyond wind energy to inform decision-making processes critical for a sustainable energy future.

Comparing energy system optimization models and integrated assessment models: Relevance for energy policy advice.

The transition to a climate neutral society such as that envisaged in the European Union Green Deal requires careful and comprehensive planning. Integrated assessment models (IAMs) and energy system optimisation models (ESOMs) are both commonly used for policy advice and in the process of policy design. In Europe, a vast landscape of these models has emerged and both kinds of models have been part of numerous model comparison and model linking exercises. However, IAMs and ESOMs have rarely been compared or linked with one another. This study conducts an explorative comparison and identifies possible flows of information between 11 of the integrated assessment and energy system models in the European Climate and Energy Modelling Forum. The study identifies and compares regional aggregations and commonly reported variables. We define harmonised regions and a subset of shared result variables that enable the comparison of scenario results across the models. The results highlight how power generation and demand development are related and driven by regional and sectoral drivers. They also show that demand developments like for hydrogen can be linked with power generation potentials such as onshore wind power. Lastly, the results show that the role of nuclear power is related to the availability of wind resources. This comparison and analysis of modelling results across model type boundaries provides modellers and policymakers with a better understanding of how to interpret both IAM and ESOM results. It also highlights the need for community standards for region definitions and information about reported variables to facilitate future comparisons of this kind. The comparison shows that regional aggregations might conceal differences within regions that are potentially of interest for national policy makers thereby indicating a need for national-level analysis.

Spatial multi-criteria decision analysis for site selection of wind power plants: a case study

ABSTRACT Site selection for wind power plant (WPP) installation is a complex process that includes not only technical requirements but also physical, economic, social, and environmental sanctions. This study was carried out to determine optimal sites for WPP installation within the borders of Çanakkale province using spatial multi-criteria decision analysis (MCDA). Within the scope of the study, sites with a high level of suitability where a WPP can be established were determined by the geographic information system (GIS) and the analytical hierarchy process (AHP). The results were examined in two ways: by excluding and not excluding forest areas. After creating the two separate suitability maps, the annual electrical power generation potential (GP) map of the study area was generated. The results show that for the case where the forest areas were excluded, 67.26% of the study area is restricted and 29.94% is highly suitable, and for the case where the forest areas were not excluded, 58.94% is restricted and 36.25% is highly suitable. The total GP value of the highly suitable sites is 104,061.61 GWh/year. When the locations of existing WPPs were examined for control purposes, it was seen that the majority of them were located inside the areas with high suitability and outside the non-installable areas, but some of them were established in forested areas.

A Hybrid Redox‐Mediated Zinc‐Air Fuel Cell for Scalable and Sustained Power Generation

AbstractZinc‐air batteries (ZABs) have attracted considerable attention for their high energy density, safety, low noise, and eco‐friendliness. However, the capacity of mechanically rechargeable ZABs was limited by the cumbersome procedure for replacing the zinc anode, while electrically rechargeable ZABs suffer from issues including low depth of discharge, zinc dendrite and dead zinc formation, and sluggish oxygen evolution reaction, etc. To address these issues, we report a hybrid redox‐mediated zinc‐air fuel cell (HRM‐ZAFC) utilizing 7,8‐dihydroxyphenazine‐2‐sulfonic acid (DHPS) as the anolyte redox mediator, which shifts the zinc oxidation reaction from the electrode surface to a separate fuel tank. This approach decouples fuel feeding and electricity generation, providing greater operation flexibility and scalability for large‐scale power generation applications. The DHPS‐mediated ZAFC exhibited a superior peak power density of 0.51 W/cm2 and a continuous discharge capacity of 48.82 Ah with ZnO as the discharge product in the tank, highlighting its potential for power generation.

A Hybrid Redox-Mediated Zinc-Air Fuel Cell for Scalable and Sustained Power Generation.

Zinc-air batteries (ZABs) have attracted considerable attention for their high energy density, safety, low noise, and eco-friendliness. However, the capacity of mechanically rechargeable ZABs was limited by the cumbersome procedure for replacing the zinc anode, while electrically rechargeable ZABs suffer from issues including low depth of discharge, zinc dendrite and dead zinc formation, and sluggish oxygen evolution reaction, etc. To address these issues, we report a hybrid redox-mediated zinc-air fuel cell (HRM-ZAFC) utilizing 7,8-dihydroxyphenazine-2-sulfonic acid (DHPS) as the anolyte redox mediator, which shifts the zinc oxidation reaction from the electrode surface to a separate fuel tank. This approach decouples fuel feeding and electricity generation, providing greater operation flexibility and scalability for large-scale power generation applications. The DHPS-mediated ZAFC exhibited a superior peak power density of 0.51 W/cm2 and a continuous discharge capacity of 48.82 Ah with ZnO as the discharge product in the tank, highlighting its potential for power generation.

INFLUENCE OF SUBCRITICAL WATER PRETREATMENT TEMPERATURE ON PINEAPPLE WASTE BIOGAS EFFICIENCY: EXPERIMENTAL AND KINETIC STUDY

Anaerobic digestion of pineapple waste appears to be an effective method for non-renewable energy substitution through biogas production. The potential power generation from the exploitation of pineapple waste as fuel is estimated to be roughly 20.8 MW. Nevertheless, the intricate composition of pineapple waste, characterized by the complex arrangement of its structure, poses a significant challenge in attaining a substantial amount of biogas production. This study pretreated pineapple waste with subcritical water to increase biogas production. Two temperature settings (120⁰C and 200⁰C) were used for pretreatment. Combined pre-treatment at low temperatures and short time (120⁰C, 5 minutes, 10 water to solid ratio) resulted in 31.6% higher biogas production than untreated. However, pretreatment at high temperatures and longer reaction time (200⁰C,25 min) reduced the biogas production by 9% as compared to untreated. Using the Modified Gompertz kinetic model, pretreatment improved the lag phase and increased biogas production to 14.41 mL/day. The lignocellulosic composition of pre-treated pineapple waste decreased, while process parameters such as total ammonia nitrogen removal and pH improved after the pretreatment. Subcritical water pretreatment, particularly when conducted at high temperatures, did not yield any enhancements in the anaerobic digestion of pineapple waste. As a result, it is not advisable to employ this method for these purposes.