Towards Sustainable Energy Solutions: Evaluating the Impact of Floating PV Systems in Reducing Water Evaporation and Enhancing Energy Production in Northern Cyprus DOI Creative Commons
Youssef Kassem, Hüseyin Gökçekuş,

Rifat Gökçekuş

и другие.

Energies, Год журнала: 2024, Номер 17(21), С. 5300 - 5300

Опубликована: Окт. 25, 2024

Floating photovoltaic systems (FPVSs) are gaining popularity, especially in countries with high population density and abundant solar energy resources. FPVSs provide a variety of advantages, particularly situations where land is limited. Therefore, the main objective study to evaluate potential investigate techno-economic perspective at 15 water reservoirs Northern Cyprus for first time. Due radiation variations, power generation uncertain; therefore, precise characterization required manage grid effectively. In this paper, four distribution functions (Johnson SB, pert, Phased Bi-Weibull, Kumaraswamy) newly introduced analyze characteristics irradiation, expressed by global horizontal irradiation (GHI), selected sites. These compared common assess their suitability. The results demonstrated that proposed functions, exception outperform regarding fitting GHI distribution. Moreover, work aims effects floating on evaporation rates reservoirs. To aim, five methods were used estimate rate based weather data. Different scenarios covering reservoir’s surface an FPVS studied discussed. findings showed annual savings 100% coverage can reach 6.21 × 105 m3 0 without PV panels. Finally, technical economic assessment various scales, assemblies, technologies was conducted determine optimal system. revealed structure (North orientation-tilt 6°) bifacial panels produced maximum performance Consequently, it observed percentage reduction electricity production from fossil fuel be varied 10.19% 47.21% 75% FPV occupancy.

Язык: Английский

Integrating GIS and AHP for Photovoltaic Farm Site Selection: A Case Study of Ikorodu, Nigeria DOI Open Access

Hubert Onuoha,

Iheanacho Henry Denwigwe, Olubayo Moses Babatunde

и другие.

Processes, Год журнала: 2025, Номер 13(1), С. 164 - 164

Опубликована: Янв. 9, 2025

Large-scale renewable energy plants such as solar photovoltaic (PV) farms are vital to the global transition a green economy. They reduce greenhouse gas emissions, mitigate climate change, and promote sustainable resilient energy. However, large-scale PV need adequate planning site selection for optimal performance. This study presents geographic information system (GIS)-based multi-criteria decision-making (MCDM) framework utilizing analytic hierarchy process (AHP) identify sites utility-scale in Ikorodu, Lagos State, Nigeria. By integrating critical environmental, technical, economic, social factors, model evaluates land suitability projects across area. The finding indicates that 68.77% of is unsuitable development, with only 17.78% classified highly suitable 12.67% moderately suitable. Marginally most appropriate areas minimal, at 0.73% 0.04%, respectively. provides replicable approach stakeholders policymakers aiming implement solutions, aligning national targets. Future research could integrate dynamic factors community engagement, use changes, evolving environmental policies enhance models. offers valuable insights into contributes advancing Nigeria’s systems.

Язык: Английский

Процитировано

2

Comparison of physical models for bifacial PV power estimation DOI Creative Commons
Ali Sohani, Marco Pierro, David Moser

и другие.

Energy Conversion and Management, Год журнала: 2025, Номер 327, С. 119515 - 119515

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

2

Photovoltaic plant site selection considering dust soiling effects: A novel hybrid framework based on uncertainty and reliability with optimum cleaning schedule DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Applied Energy, Год журнала: 2025, Номер 382, С. 125252 - 125252

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

1

Output Current Observation and Control of Grid-Connected Modular Multilevel Converter Using a Simplified Super Twisting Algorithm Sliding Mode DOI Creative Commons

Imane Alia,

Imad Merzouk,

Mehamed Mounir Rezaoui

и другие.

Results in Engineering, Год журнала: 2025, Номер 25, С. 104280 - 104280

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

1

A universal tool for estimating monthly solar radiation on tilted surfaces from horizontal measurements: A machine learning approach DOI
Bilal Rinchi, Osama Ayadi, Sameer Al‐Dahidi

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 314, С. 118703 - 118703

Опубликована: Июнь 20, 2024

Язык: Английский

Процитировано

6

A compromise solution for comparison photovoltaic tracking systems: A 7E and uncertainty analysis assisted by machine learning algorithm DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy Conversion and Management, Год журнала: 2024, Номер 323, С. 119242 - 119242

Опубликована: Ноя. 19, 2024

Язык: Английский

Процитировано

5

Optimal Sizing of Grid-Tied Hybrid Solar Tracking Photovoltaic/Hydrogen Fuel Cell Energy Systems for Electric Vehicle Charging Stations in South Korea: A Techno-Economic Study DOI
Yosoon Choi, Shubhashish Bhakta

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144511 - 144511

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

4

Assessing Suitable Areas for PV Power Installation in Remote Agricultural Regions DOI Creative Commons
Abdelfetah Belaid, Mawloud Guermoui,

Reski Khelifi

и другие.

Energies, Год журнала: 2024, Номер 17(22), С. 5792 - 5792

Опубликована: Ноя. 20, 2024

Remote agricultural regions in desert areas, such as Ghardaïa southern Algeria, face significant challenges energy supply due to their isolated locations and harsh climatic conditions. Harnessing solar through photovoltaic (PV) systems offers a sustainable solution these needs. This study aims identify suitable areas for PV power installations Ghardaïa, utilizing geographic information system (GIS) combined with the fuzzy analytical hierarchy process (AHP). Various environmental, economic, technical factors, radiation, land use, proximity infrastructure, are incorporated into analysis create multi-criteria decision-making framework. The integration of logic AHP enables more flexible evaluation factors. results revealed presence ideal installing stations, 346,673.30 hectares identified highly suitable, 977,606.84 very 937,385.97 suitable. These characterized by high levels radiation infrastructure availability, contributing reduced implementation costs facilitating logistical operations. Additionally, enhances efficiency electricity delivery farmers. emphasizes need well-considered strategic planning achieve development remote rural areas.

Язык: Английский

Процитировано

3

Evaluating site selection for optimal photovoltaic installations and CO₂ emission reduction in selected districts of khyber pakhtunkhwa DOI Creative Commons

Farnaz,

Narissara Nuthammachot, Rabia Shabbir

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

Abstract As the global market for renewable energy solutions expands, geospatial analysis is becoming crucial optimizing solar potential. The current study assesses suitability of installing PV system in Mardan, Peshawar, and Nowshera districts Pakistan using a multi-criteria decision-making (MCDM) approach. Analysis different parameters, such as topography, land use cover (LULC), radiation surface temperature (LST), were performed to find appropriate locations their respective regions. employed binary classification weighted overlay methods detect patterns spatial suitability. Peshawar showed maximum ability with 859.8 km² categorized favorable projected annual power output capacity 67.77 trillion kWh decrease CO₂ emission 2.78 billion metric tons. Mardan closely followed suitable area 828.4 generation 39.74 kWh/year reduction emissions by 1.63 has an 503.0 km², 670.06 kWh, 27.46 million These results underline importance combining meteorological data accurate planning systems. By highlighting location-specific features, including topography irradiance illustrates tailoring outputs environmental impacts local contexts. insights help guide policymakers driving projects, support Pakistan’s sustainable development climate targets.

Язык: Английский

Процитировано

0

Harnessing energy abundance: sustainable expansion of solar parks in Lower Saxony through harmonized spatial planning DOI Creative Commons
Ole Badelt, Julia Wiehe, Christina von Haaren

и другие.

Energy Sustainability and Society, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 22, 2025

Язык: Английский

Процитировано

0