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Machine learning-optimized solar thermal pretreatment and low-energy ultrasonic disintegration for enhanced biogas production: Efficiency, carbon footprint, and comparative analysis 机器学习优化的太阳能热预处理和低能量超声波分解用于增强沼气生产:效率,碳足迹和比较分析
Next Energy Pub Date : 2025-09-27 DOI: 10.1016/j.nxener.2025.100435
Hassan A. Hameed Al-Hamzawi , Ali S. Abed Al Sailawi , Ali Alhraishawi , Rasha Abed Hussein , Maad M. Mijwil
{"title":"Machine learning-optimized solar thermal pretreatment and low-energy ultrasonic disintegration for enhanced biogas production: Efficiency, carbon footprint, and comparative analysis","authors":"Hassan A. Hameed Al-Hamzawi ,&nbsp;Ali S. Abed Al Sailawi ,&nbsp;Ali Alhraishawi ,&nbsp;Rasha Abed Hussein ,&nbsp;Maad M. Mijwil","doi":"10.1016/j.nxener.2025.100435","DOIUrl":"10.1016/j.nxener.2025.100435","url":null,"abstract":"<div><div>This experimental and modeling study explores the integration of renewable energy-based pretreatment methods (solar thermal and ultrasonic) with anaerobic digestion (AD) for sustainable sludge management and enhanced biogas production. Building on prior experimental work that utilized microwave pretreatment, the study employs machine learning (ML) to model and optimize AD performance under renewable energy pretreatment. Experimental validation was conducted using lab-scale continuously stirred tank reactors (CSTRs) with a comprehensive dataset of experimental runs. Key findings demonstrate that solar thermal and ultrasonic methods achieve 20.5% ± 1.8% and 18.7% ± 2.1% higher methane production (295 ± 22 and 285 ± 20 mL CH₄/g VS, respectively) and 30.9% ± 2.1% greater chemical oxygen demand (COD) solubilization compared to microwave pretreatment (245 ± 18 mL CH₄/g VS), while reducing energy consumption by 40.1% ± 3.2% and 35.6% ± 2.8%, respectively. ML models (Random Forest and Gradient Boosting) demonstrated high accuracy (<em>R</em>² = 0.952 ± 0.018 and 0.948 ± 0.022, respectively) in predicting biogas yield and identifying optimal pretreatment parameters. Comprehensive life cycle assessment including upstream emissions shows 49% and 37% carbon footprint reduction for solar thermal and ultrasonic systems, respectively, compared to microwave pretreatment. This work provides both experimental validation and theoretical framework for future large-scale implementation and highlights the potential of ML-driven optimization to advance sustainable sludge-to-energy conversion, offering significant implications for reducing operational costs.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100435"},"PeriodicalIF":0.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A hybrid triboelectric nanogenerator integrating sliding and contact modes activated by a single motion for enhanced output and sensitivity 一种混合摩擦电纳米发电机,集成滑动和接触模式,由单一运动激活,以提高输出和灵敏度
Next Energy Pub Date : 2025-09-27 DOI: 10.1016/j.nxener.2025.100437
Jie-Wei Gim , Lei-Jun Siau , Pei-Song Chee , Eng-Hock Lim , Jen-Hahn Low
{"title":"A hybrid triboelectric nanogenerator integrating sliding and contact modes activated by a single motion for enhanced output and sensitivity","authors":"Jie-Wei Gim ,&nbsp;Lei-Jun Siau ,&nbsp;Pei-Song Chee ,&nbsp;Eng-Hock Lim ,&nbsp;Jen-Hahn Low","doi":"10.1016/j.nxener.2025.100437","DOIUrl":"10.1016/j.nxener.2025.100437","url":null,"abstract":"<div><div>Triboelectric nanogenerators (TENGs) have emerged as a promising solution for converting low-frequency ambient mechanical energy into electrical energy, especially from human motion. Hybrid-mode TENGs are gaining increasing attention for their potential to enhance energy harvesting efficiency by combining multiple triboelectric mechanisms within a single device. In this work, a hybrid sliding-contact mode TENG (HSC-TENG) is proposed, integrating both lateral sliding and vertical contact-separation modes, triggered by a single vertical motion. Polylactic acid (PLA) is selected as the positive friction layer, while Ecoflex 0050 is used as the negative layer. These materials enable the fabrication of protruded trapezoidal structures that promote hybrid motion. To fully exploit this geometry, a matching prism-shaped electrode is incorporated. The parallel alignment between the electrode and contact surface enhances charge transfer during both sliding and compression phases. The proposed HSC-TENG achieves an open-circuit voltage of 1.28 V and short-circuit current of 263 nA, with the triboelectric active area of 22.27 cm<sup>2</sup>, which is 200% higher than conventional single-mode contact-separation TENG. Dynamic testing was conducted to validate the TENG design, demonstrating stable performance and structural robustness over 10,000 continuous operation cycles. The device was further demonstrated in a practical application, successfully charging capacitors and serving as a self-powered button for interactive, sustainable user interfaces.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100437"},"PeriodicalIF":0.0,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pseudocapacitive behavior of pure and Al-doped NiO/Graphene oxide films on grafoil sheet 纯和掺铝NiO/氧化石墨烯薄膜在接枝油片上的赝电容行为
Next Energy Pub Date : 2025-09-25 DOI: 10.1016/j.nxener.2025.100436
N.V. Srinivasa , Anjana Simon , Basavaraj Angadi , H.M. Mahesh , Shivaraj Yallapa
{"title":"Pseudocapacitive behavior of pure and Al-doped NiO/Graphene oxide films on grafoil sheet","authors":"N.V. Srinivasa ,&nbsp;Anjana Simon ,&nbsp;Basavaraj Angadi ,&nbsp;H.M. Mahesh ,&nbsp;Shivaraj Yallapa","doi":"10.1016/j.nxener.2025.100436","DOIUrl":"10.1016/j.nxener.2025.100436","url":null,"abstract":"<div><div>Metal oxide nanofilms have drawn interest as essential components for next-generation supercapacitors due to growing demands for effective energy storage devices. Electrodes were fabricated by thermally depositing pure and Al-doped NiO onto graphene oxide (GO), followed by drop-casting the NiO-coated GO onto a grafoil sheet with improved electrochemical properties. The resulting composite electrodes were characterized using X-ray diffraction, Fourier transform infrared spectroscopy, Raman spectroscopy, and Scanning Electron Microscopy (SEM), confirming the formation of nanoscale NiO coatings and the presence of Ni–O and GO-related vibrational modes. Electrochemical evaluation in 2 M and 3 M KOH electrolytes revealed highly pseudocapacitive behavior. Specific capacitance values obtained from cyclic voltammetry at a scan rate of 10 mV/s were 172, 137.53, and 89.92 F/g for undoped, 2% Al-doped, and 4% Al-doped NiO electrodes, respectively, in 2 M KOH; and 181.25, 157.05, and 93.75 F/g in 3 M KOH. All electrodes demonstrated excellent cycling stability, retaining their performance after 100 charge–discharge cycles at a scan rate of 100 mV/s. These results suggest that NiO/GO-coated grafoil electrodes, particularly undoped NiO, are promising candidates for high-performance supercapacitor applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100436"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing syngas production for enhanced gas turbine power generation: A thermodynamic and feedstock analysis 优化合成气生产增强燃气轮机发电:热力学和原料分析
Next Energy Pub Date : 2025-09-25 DOI: 10.1016/j.nxener.2025.100430
Toyese Oyegoke , Abdullahi Jibrin
{"title":"Optimizing syngas production for enhanced gas turbine power generation: A thermodynamic and feedstock analysis","authors":"Toyese Oyegoke ,&nbsp;Abdullahi Jibrin","doi":"10.1016/j.nxener.2025.100430","DOIUrl":"10.1016/j.nxener.2025.100430","url":null,"abstract":"<div><div>As the demand for alternative and renewable energy solutions increases, particularly in developing nations facing unreliable power supply, optimizing biomass gasification processes for power generation has become a critical challenge. Syngas, composed primarily of carbon monoxide (CO), hydrogen (H₂), and carbon dioxide (CO₂), plays a pivotal role in driving gas turbine power generation. However, the impact of varying feedstock types, thermodynamic conditions, and syngas quality on power output is still not well understood. This study addresses this knowledge gap by investigating the effects of feedstock composition (C1 to C4 alkanes), temperature, and pressure on syngas production and gas turbine efficiency. Using process simulations with DWSim and optimization techniques such as response surface methodology (RSM), we identify optimal syngas compositions for maximizing gas turbine duty (GTD). The results demonstrate that a balanced syngas mixture (CO = 4 kmol/h, H₂ = 4 kmol/h, CO₂ = 4 kmol/h) yields a GTD of 48.2 kW, significantly enhancing power generation efficiency. Our findings underscore the critical role of CO₂ in stabilizing combustion, improving thermal efficiency, and ensuring stable turbine operation, while CO and H₂ contribute directly to the energy conversion process. This research provides valuable insights for optimizing bioenergy systems, offering predictive models that can guide the development of more efficient and sustainable biomass-based power generation technologies.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100430"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the role of state and federal incentives in residential solar adoption: Evidence from Nevada 评估州和联邦政府在住宅太阳能采用方面的激励作用:来自内华达州的证据
Next Energy Pub Date : 2025-09-25 DOI: 10.1016/j.nxener.2025.100434
Faraz Farhidi
{"title":"Evaluating the role of state and federal incentives in residential solar adoption: Evidence from Nevada","authors":"Faraz Farhidi","doi":"10.1016/j.nxener.2025.100434","DOIUrl":"10.1016/j.nxener.2025.100434","url":null,"abstract":"<div><div>This study examines how state and federal incentives affect rooftop solar adoption in Nevada using contract-level data from 99 customers between 2017 and 2023. A fixed-effects regression framework is applied to isolate the effects of rebates, tax credits, utility rates, and vendor behavior on system prices. The analysis reveals that state-level rebates significantly reduce upfront costs: a $1000 increase in rebate support corresponds to an average $0.09/W reduction in system price. In contrast, federal Investment Tax Credits show limited price-lowering effects and may indirectly raise quoted prices, consistent with subsidy pass-through behavior. Nevada’s retail electricity rates emerge as the most significant determinant of pricing, with higher rates associated with an increase of nearly $27–31/W in average system costs, reflecting vendors’ ability to price against the utility benchmark.</div><div>The results demonstrate that state rebates provide the clearest pathway to lowering customer costs and accelerating adoption, while federal incentives require regulatory safeguards to ensure consumer benefit. These findings carry important implications for renewable energy policy, particularly in regulated markets where vendor pricing strategies can dilute the effectiveness of national subsidies. Overall, the evidence highlights the critical role of targeted state policies and competitive vendor oversight in advancing affordability, market participation, and progress toward renewable energy and climate goals.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100434"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Energy assessment of a compact solar wall-heating system powered by a parabolic collector 由抛物面收集器驱动的紧凑型太阳能壁面加热系统的能量评估
Next Energy Pub Date : 2025-09-25 DOI: 10.1016/j.nxener.2025.100442
Amine TILIOUA, Abdellah MELLAIKHAFI, Choukri MESSAOUDI
{"title":"Energy assessment of a compact solar wall-heating system powered by a parabolic collector","authors":"Amine TILIOUA,&nbsp;Abdellah MELLAIKHAFI,&nbsp;Choukri MESSAOUDI","doi":"10.1016/j.nxener.2025.100442","DOIUrl":"10.1016/j.nxener.2025.100442","url":null,"abstract":"<div><div>This study investigates the thermal performance of a compact solar heating system designed for semiarid climates. The system integrates a 1 m² parabolic trough collector (PTC), a 50 L stratified storage tank, and an active masonry wall. Unlike conventional systems that use flat-plate or evacuated-tube collectors, this setup leverages concentrated solar radiation to improve energy delivery efficiency. An experimental prototype was developed and tested under the climate of Errachidia, Morocco, and a dynamic TRNSYS 16 simulation model was created and validated with on-site data. The model showed good agreement, with mean discrepancies below 7% for PTC outlet temperature and 5% for indoor-air temperature. Results for the winter period (December-February) indicate that raising the mirror reflectivity from 0.60 to 0.90 improves seasonal collector efficiency from 0.41 to 0.63 and increases the useful heat output by more than 50%. Increasing the tank volume by 10 L reduced indoor temperature by 1.3 °C, while doubling the active wall surface caused a reduction of 3.5 °C. Comparative simulations across 8 Moroccan cities identified Errachidia and Marrakech as optimal sites, with peak useful heat reaching 194.3 kW in March. The study confirms that a small scale, PTC-powered wall-heating system can meet thermal comfort requirements in cold seasons without auxiliary heating. The novelty lies in the combined experimental and numerical assessment of a low-cost, compact configuration tailored for space-constrained buildings in semiarid regions.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100442"},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seaside port operation optimization and energy management system with integrated seaport microgrid and cold ironing 海港微电网与冷熨一体化的滨海港口运营优化与能源管理系统
Next Energy Pub Date : 2025-09-24 DOI: 10.1016/j.nxener.2025.100439
Nur Najihah Abu Bakar , Najmeh Bazmohammadi , Juan C. Vasquez , Josep M. Guerrero
{"title":"Seaside port operation optimization and energy management system with integrated seaport microgrid and cold ironing","authors":"Nur Najihah Abu Bakar ,&nbsp;Najmeh Bazmohammadi ,&nbsp;Juan C. Vasquez ,&nbsp;Josep M. Guerrero","doi":"10.1016/j.nxener.2025.100439","DOIUrl":"10.1016/j.nxener.2025.100439","url":null,"abstract":"<div><div>Electrification of port operations requires new adaptations to system operation which introduces new complexities and operating challenges. The carbon capture of cold ironing is gaining attention to mitigate shipping emissions, but implementing it impacts conventional workflow scheduling and increases the energy burden at ports. Hence, it necessitates optimal coordination of operations scheduling and novel energy management strategies. This research proposes a two-level optimization framework to address coordination problems. The first level of optimization develops the algorithm for three different operation scheduling problems: the berth allocation problem (BAP), the cold ironing assignment problem (CIAP), and the quay crane allocation problem (QCAP) to minimize the ship stay duration. Meanwhile, a multi-objective optimization problem is formulated at the second level to minimize energy operation costs and port emissions from the seaport microgrid. The output from numerical simulations demonstrates substantial improvements in operation performance, cost savings, and emission reduction, which benefit both port operators and shipping companies. By coordinating these two problems through an integrated optimization strategy, ports can reliably adopt innovative electrification solutions while maintaining competitive performance. Besides, the set of Pareto optimal solutions is provided to the port operators, enabling them to perform a tradeoff analysis and incorporate strategic priorities. This integrated approach lays the groundwork for next-generation operation management systems at ports.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100439"},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigation on the effect of graphite support on the efficiency of cobalt nickel boride catalyst in hydrolysis of sodium borohydride 石墨载体对硼氢化钠水解钴镍硼化催化剂效率影响的研究
Next Energy Pub Date : 2025-09-22 DOI: 10.1016/j.nxener.2025.100432
Mohammad Taghi Mohammad Pour, Mohammad Hossein Paydar
{"title":"Investigation on the effect of graphite support on the efficiency of cobalt nickel boride catalyst in hydrolysis of sodium borohydride","authors":"Mohammad Taghi Mohammad Pour,&nbsp;Mohammad Hossein Paydar","doi":"10.1016/j.nxener.2025.100432","DOIUrl":"10.1016/j.nxener.2025.100432","url":null,"abstract":"<div><div>This study investigates the role of graphite as a support material in enhancing the catalytic activity of cobalt nickel boride (Co-Ni-B) for hydrogen generation via sodium borohydride (NaBH<sub>4</sub>) hydrolysis. The graphite content was systematically varied to optimize catalytic performance, with structural and morphological analyses conducted using X-ray diffraction (XRD) and scanning electron microscopy (SEM). Catalytic activity was evaluated via the water displacement method, revealing that a 20 wt% graphite loading increased hydrogen production efficiency by approximately 30% compared to the unsupported catalyst. Furthermore, synthesizing the graphite-supported Co-Ni-B catalyst at 0<!--> <!-->°C further boosted its activity. The catalyst also exhibited exceptional stability, retaining 92% of its initial activity after 5 reuse cycles, demonstrating its potential for sustainable and efficient hydrogen generation applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100432"},"PeriodicalIF":0.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Smart screening of hydrogen storage capacities in MOFs using a tailored machine learning 使用定制的机器学习智能筛选mof中的储氢能力
Next Energy Pub Date : 2025-09-22 DOI: 10.1016/j.nxener.2025.100431
Deepu Kumar Jha
{"title":"Smart screening of hydrogen storage capacities in MOFs using a tailored machine learning","authors":"Deepu Kumar Jha","doi":"10.1016/j.nxener.2025.100431","DOIUrl":"10.1016/j.nxener.2025.100431","url":null,"abstract":"<div><div>Metal-organic frameworks (MOFs) have emerged as promising candidates for solid-state hydrogen storage owing to their exceptional specific surface area, high pore volume, and chemically tunable structural properties. In this work, a diverse set of experimentally synthesized MOFs were evaluated to model and predict hydrogen storage capacity (wt%), using 4 key descriptors which are Brunauer–Emmett–Teller (BET) surface area, pore volume, operating pressure, and temperature. Correlation analysis revealed positive associations between BET surface area, pressure, and pore volume with storage capacity, and a negative association with temperature, consistent with physisorption mechanism. Six machine learning models were developed: support vector regression (SVR), artificial neural networks (ANN), random forest (RF), Gaussian process regression (GPR), gradient boosting (GB), and a Committee of Expert Systems (CES) integrating all base learners. While GB was the top-performing standalone model, the CES delivered the highest predictive fidelity (R<sup>2</sup> = 0.9958, MSE = 0.0094), as confirmed by parity plots and residual analysis. SHapley Additive exPlanations (SHAP) corroborated the statistical feature rankings, consistently identifying BET surface area and pressure as the most influential positive contributors in alignment with adsorption thermodynamics. Paired <em>t</em>-tests on root-mean-square error (RMSE) values confirmed statistically significant CES improvements over all individual models. The CES framework thus offers a data-efficient, accurate, and interpretable approach for rapid MOF screening, with straightforward adaptability to other porous materials and adsorption-based energy storage systems.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100431"},"PeriodicalIF":0.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Toward net-zero emissions: Constructing the nexus between housing systems and environmental outcomes 迈向净零排放:构建住房系统与环境结果之间的联系
Next Energy Pub Date : 2025-09-20 DOI: 10.1016/j.nxener.2025.100426
Jinqiao Long , Duncan Maclennan , Liyuan Zhuang
{"title":"Toward net-zero emissions: Constructing the nexus between housing systems and environmental outcomes","authors":"Jinqiao Long ,&nbsp;Duncan Maclennan ,&nbsp;Liyuan Zhuang","doi":"10.1016/j.nxener.2025.100426","DOIUrl":"10.1016/j.nxener.2025.100426","url":null,"abstract":"<div><div>Housing systems are key contributors to greenhouse gas emissions, yet environmental considerations have often remained peripheral in housing policies. In light of escalating climate challenges, this article proposes a heuristic framework to map the bidirectional relationship between housing systems and environmental outcomes. The framework shows how housing activities (e.g., construction) and attributes (e.g., size, location, price) contribute to greenhouse gas emissions and climate change, while climate change impacts housing systems. Based on this framework, the article uses recent Canadian initiatives as illustrative cases and discusses Canada’s strategies for decarbonizing construction, modifying housing attributes, and improving the connections between housing, infrastructure, and transport to move toward net-zero emissions. It highlights that significant challenges remain, including financial constraints, behavioral obstacles, and the potential exacerbation of social-spatial inequalities. The paper argues that achieving net-zero emissions requires housing policies to explicitly incorporate environmental objectives and advocates for multi-order collaboration for improving housing’s environmental outcomes.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100426"},"PeriodicalIF":0.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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