Horizon Europe · Horizon Europe (HORIZON)
Improved system design for innovative PV applications (EUPI-PV Partnership)
Call summary
From the official text, opening part
Expected Outcome: Agrivoltaics or the co-location of agricultural activity and PV electricity production is a novel form of PV deployment which could provide farmers with diversified revenue sources and ecological benefits, while reducing land use competition, siting restrictions or adverse impacts on biodiversity and agricultural production. Optimizing system designs and business practices will help to enable simultaneous land use creating synergy for both agriculture and electricity production; this can benefit farmers, lower PV costs and enable the European Union to reach the goals of the EU solar energy strategy. Similarly, offshore/nearshore PV systems represent a tremendous deployment potential in Europe and globally, due to their advantages in conserving land resources and optimizing light utilization. However, prevailing technical challenges limit deployment in most sea condition… more
Academics who may be relevant
By subject fit
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%45ABDURRAHMAN EYMEN
Shared topics: Soil and Land Suitability Analysis
Overlapping papers: The significance and impacts of large investments over the determination of irrigated agricultural land use The case of the Euphrates Tigris River Basin (2014) · Optimization models for urban land readjustment practices in Turkey (2016)
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%45ARDAN HÜSEYİN EŞLİK
Research topics: Solar Radiation and Photovoltaics · Photovoltaic System Optimization Techniques · Energy Load and Power Forecasting
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%43RABİA ERSAN
Research topics: Agricultural and Rural Development Research · Plant and animal studies · Remote Sensing in Agriculture
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%42ABDİL KARAKAN
Research topics: Photovoltaic System Optimization Techniques · Solar Radiation and Photovoltaics · Smart Agriculture and AI
Overlapping papers: Increasing Water Efficiency by Using Fuzzy Logic Control in Tomatoes Seedling Cultivation (2022)
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%42VOLKAN HACISÜLEYMAN
Research topics: Water-Energy-Food Nexus Studies · Climate change impacts on agriculture · Advanced Multi-Objective Optimization Algorithms
The fit is computed by code on every request. The call text (title, keywords, start of the official description) is compared with three sources: semantic similarity to the academic profile (50%), shared distinctive terms in YÖKSİS keywords and OpenAlex topics (25%) and publication content — titles, English abstracts and their Turkish translations (25%). Thanks to the translations, Turkish calls also meet papers written in English. Common words weigh little; below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.