Urban Water-Energy consumption Prediction Influenced by Climate Change utilizing an innovative deep learning method DOI Creative Commons
Dingyi Wang, Leo Yu Zhang, Nasser Yousefi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

The growing global demand for water and energy has created an urgent necessity precise forecasting management of these resources, especially in urban regions where population growth economic development are intensifying consumption. Shenzhen, a rapidly expanding megacity China, exemplifies this trend, with its requirements anticipated to rise further the upcoming years. This research proposes innovative Convolutional Neural Network (CNN) technique consumption considering intricate interactions among climate, socio-economic, demographic elements. proposed approach integrates CNN model Enhanced Gorilla Troops Optimization (EGTO) algorithm demonstrate superior performance compared other leading methods terms accuracy reliability. results show strong correlation between simulated observed data, coefficient 0.87 0.91 consumption, indicating high level agreement real-world data. Also, it is indicated that new can accurately forecast achieving mean absolute error (MAE) 0.63 root square (RMSE) 0.58, respectively. indicates suggested promote policymakers stakeholders making well-informed decisions by delivering predictions usage. This, turn, facilitate better resource distribution, minimize waste, greater sustainability. study emphasizes incorporating climate change socio-economic factors into process showcases method's potential aid decision-making domain.

Language: Английский

Navigating challenges in large-scale renewable energy storage: Barriers, solutions, and innovations DOI Creative Commons
Heidar Jafarizadeh,

Eliyad Yamini,

Seyed Mohammad Zolfaghari

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2179 - 2192

Published: Aug. 16, 2024

The accelerated growth in renewable energy systems offers resolutions for reaching clean and sustainable production. Electrical Energy Systems (ESS) present indispensable tools with diverse applications to satisfy intermittent characteristics of energies enable the transition applied methodology assess review hybridization concept summarizes employments technical evaluations mutual between production consumption sectors while high-efficiency EES has been considered as a synchronizer. Optimized smart grids microgrids benefit from EES, making more efficient reliable. rise electric vehicles an eco-friendly transportation solution also depends on overcome storage challenges. novel aim this work lies elaboration large-scale storing harvesting effective peak-shaving purposes. This multidisciplinary put higher emphasis essence interconnection different industrial subdivisions environmentally benign, high-efficiency, economical process reflections. Mechanical storage, thermomechanical thermal chemical electrical electrochemical are involved concepts study. These divisions collectively form comprehensive strategy optimizing utilization. RE sites increasingly utilize enhance system flexibility, grid stability, power supply reliability. Whether primary source is solar, wind, geothermal, hydroelectric, or oceanic, provides critical ability store manage efficiently.

Language: Английский

Citations

35
Elevating urban sustainability: An intelligent framework for optimizing water-energy-food nexus synergies in metabolic landscapes DOI
Yanlai Zhou, Fi‐John Chang, Li‐Chiu Chang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 360, P. 122849 - 122849

Published: Feb. 21, 2024

Language: Английский

Citations

9
Unlocking the potential of micro-hydropower in water distribution networks: a comprehensive systematic review for Malaysia’s sustainable energy future DOI Creative Commons
Mahfuzur Rahman, Norashikin Ahmad Kamal, Jazuri Abdullah

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 26, 2025

Language: Английский

Citations

1
Developing a framework taking into account negative environmental impacts to evaluate water-energy-food coupling efficiency DOI

Jiajie Guan,

Xinxueqi Han,

Bernard A. Engel

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141553 - 141553

Published: March 3, 2024

Language: Английский

Citations

8
Applying the new multi-objective algorithms for the operation of a multi-reservoir system in hydropower plants DOI Creative Commons

S Hashemi,

Amir Robati,

Mohammad Ali Kazerooni

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 13, 2024

Abstract The optimal operation of the multi-purpose reservoir system is a difficult, and, sometimes, non-linear problem in multi-objective optimization. By simulating biological behavior, meta-heuristic algorithms scan decision space and can offer set points as group solutions to problem. Because it essential simultaneously optimize several competing objectives consider relevant constraints main many optimization problems, researchers have improved their ability solve problems by developing complementary algorithms. AHA algorithm new, its version, MOAHA (multi-objective artificial hummingbird algorithm), was used this study compared with two novel algorithms, MOMSA MOMGA. Schaffer MMF1 were standard benchmark functions gauge effectiveness proposed method. Then, for 180 months, best way operate Karun River basin, which includes 4, 3, 1, Masjed-e-Soleyman, Gotvand Olia dams generate hydropower energy, supply downstream demands (drinking, agriculture, industry, environmental), control flooding examined from September 2000 August 2015. Four performance appraisal criteria (GD, S, Δ, MS) four evaluation indices (reliability, resiliency, vulnerability, sustainability) Karun's multi-reservoir evaluate algorithm. All three demonstrated strong capability criterion using algorithms’ indicators. large-scale (1800 dimensions) Basin another With minimum 1441.71 an average annual energy manufacturing 17,166.47 GW, considerable other two. final results algorithm’s excellent performance, particularly difficult significant such systems' under various objectives.

Language: Английский

Citations

7
Development of a novel framework for agriculture simulation model for food-energy-water nexus analysis in watershed-scale DOI
Hossein Akbari Variani, Abbas Afshar, Masoud Vahabzadeh

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 429, P. 139492 - 139492

Published: Oct. 31, 2023

Language: Английский

Citations

16
Assessing and mapping water-energy-food nexus smart innovations and practices in Vhembe District Municipality, Limpopo Province, South Africa DOI Creative Commons
Khangwelo Desmond Musetsho,

E.J. Mwendera,

Tshilidzi Madzivhandila

et al.

Frontiers in Water, Journal Year: 2024, Volume and Issue: 6

Published: Feb. 27, 2024

Water, energy, and food their interactions (commonly referred to as the WEF nexus) are critical pillars resolving intractable global challenges such poverty, hunger, malnutrition, poor sanitation, climate, health crises. The nexus approach, practices, innovations at household level determinants of whether resource use efficiency, co-benefits, basic rights water food, sustainability governance attained. In particular, smart can contribute current generations' economic, social, environmental needs without compromising future generation. study aimed identify innovations, factors influencing adoption inform policy decision-making processes. intends support scaling up practices that enhance security in sustainable development goals (SDGs). Semi-structured interviews key informant (KII) supplemented with observational checklists were used technologies, Vhembe District Municipality, Limpopo Province, South Africa. Data collected from a sample size 128 households area. Our findings revealed synergistic innovation across management practices. Though indigenous knowledge (IK) widely evident area, non-existent systems existed Indigenous most elicited by 99.2% households, suggesting it is advancing be integrated into any interventions. A proportion recycle (27%), whilst 53% untreated water. Furthermore, on fragmented despite potential synergize objectives. Exploring platforms (IPs) vehicles for dissemination, innovation, extension advisory service delivery, well validation Knowledge Systems (IKS), has diffusion, uptake, existing significant spill-over effects outcomes both local extra scales.

Language: Английский

Citations

5
Evolution of stakeholder behavior strategies in the water quantity eco-compensation mechanism of water use coordination inside and outside the river DOI
Meng Liu,

Xinjian Guan,

Yu Meng

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 449, P. 141812 - 141812

Published: March 18, 2024

Language: Английский

Citations

5
Water-energy-food(WEF) nexus efficiency of dynamic slack-based measure in 31 provinces and regions in China DOI
Yunyun Gao, Ching‐Cheng Lu,

Wanshui Wu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 460, P. 142433 - 142433

Published: May 14, 2024

Language: Английский

Citations

3
Performance evaluation of a novel fuel cell and wind-powered multigeneration system DOI Creative Commons
Farbod Esmaeilion, M. Soltani,

Faraz Forutan Nia

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4657 - 4675

Published: April 26, 2024

The introduction of promising energy sources to satisfy human desires is extremely crucial. present work studies the performance an original solid oxide fuel cell-wind-based polygeneration system for producing hydrogen, sodium hypochlorite, potable water, heating, cooling, and electrical power. In methodological concept, energy, exergy, economic, exergoenvironmental assessments are carried out evaluate concerning different parameters. technical outcomes depict that can produce 363 kW power, 162 46.5 heating at design operating settings while exergy efficiencies 55.5% 38.1%, respectively. Moreover, over a year operation, provide 19.9 × 10 4 m3 gaseous 50.9 ×‎ 103 5.31 tonnes hypochlorite increase gained benefits from this efficient cost-effective system. To prevalence designed system, economic demonstrate payback period 1.5 years internal rate return 0.70. presents relatively proper environmental based on obtained study; factor, stability sustainability index 0.50, 0.56, 1.6,

Language: Английский

Citations

2