Solar PV Power Plants Site Selection

Garni, Hassan Z. Al; Awasthi, Anjali

doi:10.1016/b978-0-12-812959-3.00002-2

Cited by 77 publications

(38 citation statements)

References 63 publications

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“…The author also discussed the scope of improvement for the existing standards of interconnected PV systems. Photovoltaic site selection using multi-criteria decisionmaking techniques and geographical information system was presented by Hassan et al [42]. The authors also discussed uncertainties associated with site selection.…”

Section: Design Methodology Of Pv Power Plantmentioning

confidence: 99%

Feasibility study of installation of MW level grid connected solar photovoltaic power plant for northeastern region of India

Kalita

Das

et al. 2019

Sādhanā

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Solar energy is one of the most suitable renewable energy options in India. In the last decade, solar energy installations have received an ample impetus in India due to active initiatives taken by the Indian government. However, the solar energy potential of country's NorthEastern (NE) part is not utilized effectively so far. In the present study, a comprehensive analysis of the feasibility of installation of a megawatt-level gridconnected solar photovoltaic (SPV) power plant in all the state capitals of NE India is carried out. The climatic data collected from various online sources and NASA climatic database were utilized in designing a 2 MW SPV plant. The theoretical procedure involved in designing the SPV plant is also presented in this study. PVsyst simulation software is used to predict the performance of 2 MW power plants for these eight states of India. From the analysis, it is observed that NE India has an immense potential for installation of solar energy conversion devices and thus it can be harvested economically. It has been observed that locations of Guwahati and Gangtok provide a high performance ratio of 0.855. Aizawl provides the minimum unit cost of electricity generated at a value of 3.88 INR/unit. The analysis also reveals that the Aizawl and Guwahati are the most suitable locations for installation of SPV power plant amongst the NE capitals.

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Section: Design Methodology Of Pv Power Plantmentioning

confidence: 99%

Feasibility study of installation of MW level grid connected solar photovoltaic power plant for northeastern region of India

Kalita

Das

et al. 2019

Sādhanā

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“…Those characteristics might in fact decide of the usability of a parcel. As pointed out by Al Garni and Awasthi, terrain slope is for instance one critical criterion when regarding the installation of any power facility [47]. In the case of wind and solar, available polygon surface also limits how much nominal capacity might eventually be set up [24].…”

Section: Adding Quantifiable Features To the Plotsmentioning

confidence: 99%

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

et al. 2020

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Today, the overall goal of energy transition planning is to seek an optimal strategy for increasing the share of renewable sources in existing power networks, such that the growing power demand is satisfied at manageable short/long term investment. In this paper we address the problem of PV penetration in electricity networks, by considering both 1) the spatial issue of site selection and size, and 2) the temporal aspect of hourly load and demand satisfaction, in addition with the investment and maintenance costs to guarantee a viable and reliable solution. We propose to address this spatio-temporal optimization problem through an integrated GIS and robust optimization model, that allows handling of the ubiquitous dependencies between resource and demand time variability and the selection of optimal sites of renewable power generation. Our approach contributes to the integration of the multi-dimensional and combinatorial aspects of this problem, gathering geographical layers (regional or national scale) and temporal packing (hourly time stamp) constraints, and cost functions. This model computes the optimal geographical location and size of PV facilities allowing energy planning targets to be met at minimal cost in a reliable manner. In this paper, we illustrate our approach by studying the penetration of large-scale solar PV in the French Guiana's power system. Among the results, we show for instance that: 1) our approach performs geographical aggregation with real contextual data, i.e. balances the intermittency of RE sources by spreading out the corresponding installations (location + size) across the territory; 2) the total installed PV capacity can be doubled by removing the 35 % penetration limit on intermittent power without exceeding hourly demand; 3) the safest investment scenario is below 30 MW of new PV facilities (≈ 45 Me and 2 plants), though it is theoretically possible to install up to 45 MW (>120 Me and 11 plants). Nomenclature B iBoolean variable equal to 1 if site PS i is selected, 0 otherwise Ccap i Capital cost for implementation of a new PV power plant (e) Ccon i Connection cost for each new PV plant, transmission lines and substation (e) Clan Transmission line unit cost (e/m) Cop i Annual fixed operational cost per new PV plant (e) Csta Substation power unit cost (e/kW) Csta i Capital cost for new substation (e) Dem h Estimated hourly power demand (kWh) Dg i Minimum distance from the grid to the centroid of a candidate (m) Eint h Current hourly production from intermittent sources (kWh) * Corresponding author Email addresses: benjamin.pillot@ird.fr (Benjamin Pillot), nadeem.alkurdi@ird.fr (Nadeem Al-Kurdi), carmen.gervet@umontpellier.fr (Carmen Gervet), laurent.linguet@univ-guyane.fr (Laurent Linguet)

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“…The localization and maximal surface of a candidate parcel can provide numerous relevant information from the intersected data layers: 1) the distance to specific infrastructures such as substations, electrical grid or road network contributes to assessing energy losses as well as accessibility costs, 2) the maximal surface is linked to construction and maintenance costs [42,6,3]. In addition, terrain slope is a critical criterion for establishing power facilities [4,46]; in the same way, final cost might also be affected by land type and land use, or even the shape of the parcel. In the case of solar and wind energies, geo-referenced resource maps are available from satellite images or field studies [20,5,6].…”

Section: Contextual Data and Resource Time Series De-spatializationmentioning

confidence: 99%

Towards Robust Scenarios of Spatio-Temporal Renewable Energy Planning: A GIS-RO Approach

Al-Kurdi

Pillot

Gervet³

et al. 2019

Lecture Notes in Computer Science

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Solar-based energy is an intermittent power resource whose potential pattern varies in space and time. Planning the penetration of such resource into a regional power network is a strategic problem that requires both to locate and bound candidate parcels subject to multiple geographical restrictions and to determine the subset of these and their size so that the solar energy production is maximized and the associated costs minimized. The problem is also permeated with uncertainty present in the estimated forecast energy demand, resource potential and technical costs. This paper presents a novel combination of Geographic Information Systems (GIS) and Robust Optimization (RO) to develop strategic planning scenarios of a collection of parcels that accounts for their spatio-temporal characteristics, and specifically their hourly radiation patterns that are location dependent, to best fit the network temporal demand and minimize technical costs. The problem is formulated as a GIS spatial placement problem and a RO fractional knapsack problem to plan the effective power penetration and geographical suitability of new PV facilities. The combination GIS-RO generates an excellent decision support system that allows for the computation of optimized parcel scenarios (locations, sizes and power). The qualitative and quantitative effectiveness of the approach is demonstrated on real data on the French Guiana region. Results show that the proposed approach provides reliable fine grained planning that also accounts for the risk adversity of the decision maker towards forecast demand and solar potentials.

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Solar PV Power Plants Site Selection

Cited by 77 publications

References 63 publications

Feasibility study of installation of MW level grid connected solar photovoltaic power plant for northeastern region of India

Feasibility study of installation of MW level grid connected solar photovoltaic power plant for northeastern region of India

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

Towards Robust Scenarios of Spatio-Temporal Renewable Energy Planning: A GIS-RO Approach

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