Multi-objective optimization evaluation of renewable and clean methanol synthesis

International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 443 - 452

Published: Jan. 1, 2025

Abstract This study examines the feasibility of establishing a power-to-fuel facility for synthesizing renewable methanol (e-methanol) through integration green hydrogen and captured carbon dioxide. Hydrogen is produced via water electrolysis using surplus electricity, while dioxide from conventional power plant’s emissions an amine-based absorption process. Despite current economic constraints, with production costs exceeding market prices methanol, highlights potential future competitiveness, especially considering impending European regulatory frameworks. Furthermore, employs hybrid Grey Wolf Optimizer–Particle Swarm Optimization approach to balance trade-offs between cost energy efficiency.

Language: Английский

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Utilizing the thermal energy from natural gas engines and the cold energy of liquid natural gas to satisfy the heat, power, and cooling demands of carbon capture and storage in maritime decarbonization: engineering, enhancement, and 4E analysis

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2093 - 2107

Published: Jan. 1, 2024

Abstract The MEPC 80 session has revised the International Maritime Organization (IMO) greenhouse gas strategy, setting more ambitious decarbonization goals. Carbon capture and storage (CCS) technologies have shown promise in reducing maritime carbon emissions, although their high-energy requirements often been neglected previous research. This study introduces a novel system integrating natural engine, CCS, an Organic Rankine Cycle (ORC), power turbine (PT). An exhaust bypass strategy is used to enhance engine performance at low medium loads, channeling PT for generation. engine’s waste heat fully utilized CCS via cold, heat, power. compares various absorbents system, including monoethanolamine piperazine solutions, which show different efficiencies. Additionally, CO2 conditions are analyzed compared. proposed shows potential significantly Energy Efficiency Design Index general cargo ships. addresses demands of by utilizing transforming drawback into beneficial resource. By ORC PT, not only captures but also improves overall energy efficiency, presenting promising solution decarbonization. analysis further enhances understanding effective management. innovative demonstrates that with strategic integration optimization, significant progress can be made toward achieving stricter targets set IMO while enhancing efficiency operations.

Language: Английский

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Sustainability and life cycle analyzes of different biofuel from municipal solid waste processes: an effective environmental guidance

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 1610 - 1622

Published: Jan. 1, 2024

Abstract The refining of biowaste into biofuels, particularly focusing on the organic fraction-municipal solid waste (OF-MSW), remains nascent and is influenced by factors such as energy requirements, microbial effectiveness, structural design. This article presents a sustainable thorough framework for evaluating environmental behavior associated with diverse biofuel from OF-MSW conversion methodologies. evaluation considers three different pre-treatment methods (acetone organosolv, hot water, acidic pre-treatment), several fermentation techniques (including ethanol ABE-F (acetone/butanol/ethanol fermentation)), or enzymatic hydrolysis approaches. Furthermore, analysis utilizes life cycle (LCA) approach. Within this framework, consequential LCA implemented, which includes process development to address issue multi-functionality use marginal processes designing foundational processes. biofuels produced, butanol, are analyzed their impact. To discern varying combined effects, methodologies sensitivity single score evaluations have been established. Research outcomes suggest that acetone–ethanol–butanol scenario does not provide an optimal outcome due its inability offset impacts through benefits derived byproducts. Among scenarios examined, Scenario SC-IV emerged most environmentally beneficial, showing significant net savings including decrements −854.55 PDF m−2 (potentially disappeared fraction, annually), −253.74 kg CO2.eq per 1000 OF-MSW, − 3290 MJ treated.

Language: Английский

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Thermal analysis of smartening a central heating unit for a small-scale network; characteristic, comparisons and impacts

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2512 - 2521

Published: Jan. 1, 2024

Abstract Central heating units (CHUs) significantly influence energy consumption and air quality in developing countries. Key challenges infrastructure enhancement include the prevalent use of outdated technologies high costs involved upgrading them. In Tehran, Iran, advancements have been made by incorporating intelligent systems into local domestic engine rooms, through control subsystems based on thermodynamic modeling. These subsystems, which temperature, control, central processing networks, improved system's efficiency environmental impact. A notable feature this project is integration advanced thermal management thermostats development specialized algorithms to optimize combustion. Results from numerical studies indicate that these CHU can cut CO emissions as much 78% reduce fuel up 30%. Thus, investing adaptable Combined Heat Power (CHP) within communities a viable, eco-friendly strategy promises greater reliability, reduced use, better outcomes.

Language: Английский

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Comprehensive technical evaluation and optimization of a carbon-neutral biomass-based power system integrating supercritical CO2 combustion and CO2 liquefaction with hydrogen production

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 20, P. 303 - 314

Published: Dec. 6, 2024

Abstract The increasing reliance on fossil fuels poses critical challenges for energy systems. A novel power generation system integrating electricity/hydrogen production, oxy-fuel combustion, and CO2 liquefaction is evaluated through technical analysis multi-objective optimization. Further, biomass-derived syngas powers the system, while a solid oxide electrolyzer (SOE) converts surplus into hydrogen, enhancing flexibility efficiency. reduces levelized cost of electricity, contributing to economic feasibility. In addition, achieves optimized results with $0.37/kWh $4.9 million in cash flow, demonstrating its potential as an efficient, sustainable solution 5.4% reduction power.

Language: Английский

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Multiaspect analysis and optimization of a power and cooling cogeneration plant integrated with a multilevel waste heat recovery system

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 1801 - 1813

Published: Jan. 1, 2024

Abstract This study focuses on the development and improvement of a new combined power cooling system called power-cooling cogeneration (PCCS). The PCCS incorporates tri-tier waste heat recovery that includes an organic Rankine cycle (ORC) ejector-driven refrigeration mechanism. design thorough assessment thermodynamic efficiency, cost-efficiency, environmental consequences. A dual-objective optimization technique is developed to decrease expenses while simultaneously improving exergy efficiency. In addition, complex behavior compared standard uses one-stage recovery-ORC compressor-based approach. Also, effectiveness was evaluated through utilization several environmentally friendly refrigerants. Environmental evaluations employ two metrics: total equivalent-warming impact (TE-WI) life cycle-climate performance (LC-CP), emphasizing substantial reductions in harm improved recovery. results demonstrate R1234-yf refrigerant achieves best possible both configurations, resulting significant increase roughly 10.1% exergetic efficiency system. Simultaneously, experiences loss annual costs around 7.25% 21.16%, respectively, as baseline. Incorporating ejector into has potential reduce carbon dioxide emissions by up 11.41 × 106 kg.

Language: Английский

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Analysis of lake changes and their influence factors in the Three River Regions from 2000 to 2020 in the Sanjiangyuan Region, China

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35672 - e35672

Published: Aug. 1, 2024

An important factor for investigating climate change in the Sanjiangyuan is evolution of spatio-temporal pattern lakes this region. The present study used Google Earth Engine (GEE) platform to extract from 2000 2020. approach created a lake distribution dataset yearly and analyzed spatial temporal patterns over 20 years. analysis focused on reaction Lakes area changes climate, glaciers, permafrost. findings indicated that region contains 143 lakes, majority which are predominantly small, measuring 1-10 km

Language: Английский

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Thermoeconomic, environmental and uncertainty assessments and optimization of a novel large-scale/low carbon hydrogen liquefaction plant integrated with liquefied natural gas cold energy

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 1740 - 1753

Published: Jan. 1, 2024

Abstract Presently, the liquefaction of hydrogen represents a promising solution to alleviate challenges associated with its storage and transportation. It is crucial formulate methodological frameworks for scrutinizing routes enhance energy efficiency. This paper endeavors establish, assess feasibility, refine novel approach high-capacity facility, leveraging cold from liquefied natural gas (LNG). new route utilizes four hybrid refrigeration systems, each designed handle 50 × 103 kg daily. Significant savings are achievable through primary utilization LNG’s in precooling stage generation electrical power during vaporization phase. The architecture this crafted around principles conservation, incorporating thermodynamic assessments alongside economic environmental viability studies. Furthermore, performance innovative method thoroughly evaluated across both non-optimized optimized scenarios. Advanced techniques such as composite curve uncertainty analyses employed provide detailed examination heat cascades cost differentials. findings indicate that managing refining route, potentially reducing specific requirement optimum by 27.4% compared non-optimum counterpart. Moreover, scenario, there decrease ~4.72% unit production expenses, 26.26% CO2 emissions, 21.85% usage avoided emissions.

Language: Английский

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Boosting energy markets in grid with a focus on battery storage, including flexible loads and electric vehicles, via a two-stage optimization framework

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2604 - 2618

Published: Jan. 1, 2024

Abstract This paper introduces a detailed dual-level structure designed for the efficient organization of energy and supportive service markets throughout transport delivery systems. The framework delineates at first level services second. Traditional thermal units serve as providers spinning reserve market, while rapid response generators, storage systems, electric vehicles, demand aggregators supply capacity adjustments. Simulations applied to 30-bus transmission network linked four 8-bus distribution networks show that integrating resources in market reduces reliance on by 22%, decreasing daily operational costs approximately 15%. Furthermore, including aggregators, vehicles regulation improves voltage profiles 7%. is constructed linear optimization model simulated using CPLEX solver GAMS software.

Language: Английский

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Optimizing energy hubs with a focus on ice energy storage: a strategic approach for managing cooling, thermal, and electrical loads via an advanced slime mold algorithm

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2568 - 2579

Published: Jan. 1, 2024

Abstract Amidst the increasing incorporation of multicarrier energy systems in industrial sector, this article presents a detailed stochastic methodology for optimal operation and daily planning an integrated system that includes renewable sources, adaptive cooling, heating, electrical loads, along with ice storage capabilities. To address problem, it applies 2 m + 1 point estimation method to accurately assess uncertainties while minimizing computational complexity. The “2 point” technique swiftly evaluates unpredictability through Taylor series calculations, capturing deviations green output, demand both electric thermal across power networks, also considering oscillating costs associated senior transmission systems. In addition, proposes novel self-adaptive optimization technique, called enhanced mucilaginous fungus algorithm (SMSMA), dedicated overcoming intricate nonlinear challenges inherent system. advanced strategy relies on wavelet theory enhance capability effectiveness original optimizing schedules Numerical analyses demonstrate introduced scheduling framework, coupled SMSMA algorithm, effectively reduces operating

Language: Английский

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