A GIS-based high spatial resolution assessment of large-scale PV generation potential in China

Yang, Qing; Huang, Tianyue; Wang, Saige; Li, Jiashuo; Dai, Shaoqing; Wright, Sebastian; Wang, Yuxuan; Peng, Huaiwu

doi:10.1016/j.apenergy.2019.04.005

Cited by 101 publications

(35 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those maps are specifically designed to give information to the decision maker about the best regions for RE deployment in a given territory (country, region). Typically, multi-layer overlay analysis is performed in order to eventually get the available land based on current geographical constraints [11]. Suitability of the available areas is then evaluated according to predefined weighted criteria derived from the literature or from local expertise [12].…”

Section: Re Planning and Spatiotemporal Modeling: A Literature Reviewmentioning

confidence: 99%

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Pillot¹,

Al-Kurdi²,

Gervet³

et al. 2021

Applied Energy

View full text Add to dashboard Cite

show abstract

Section: Re Planning and Spatiotemporal Modeling: A Literature Reviewmentioning

confidence: 99%

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Pillot¹,

Al-Kurdi²,

Gervet³

et al. 2021

Applied Energy

View full text Add to dashboard Cite

show abstract

“…Those maps allow suitable areas for RE deployment to be identified and therefore give decision makers the necessary knowledge about where to invest. Typically, these studies first derive potential areas from an overlay analysis, by removing constraint and buffer layers from a given territory [21]. A refinement is then performed using multi-criteria analysis, in which relevance of the available zones is ranked according to predefined weighted decision criteria [22].…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Yang et al [21] propose an innovative GIS-based study over China, where they bridge the gap in the scientific knowledge on distribution and size of large scale PV potential under geographical and technical constraints in the country. From geographical constraints, the authors derive suitable areas for utility-scale solar PV plants and then use land conversion factors under different geographical and technical conditions to estimate PV technical potential at high resolution.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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)

show abstract

“…Therefore, the use of geographical information systems (GIS) to aid the development of the solar energy sector has attracted increasing attention as the GIS can be used to perform inexpensive site suitability analysis [6], required for the determination of the best location for a PV farm installation via common analytic hierarchy process (AHP) algorithms [7,8], and multi-decision-criteria analysis (MDCA) techniques [9,10], considering largely diverse climatological, topographic, and societal conditioning factors, as seen in the arid and semi-arid regions of Iran [11] and Saudi Arabia [12], or the area of Cartagena-Murcia in the southwest region of Spain [13], or the city of Oujda at the Eastern region of Morocco [14], the city of Rethimno at the north coast of the Greek island of Crete [15], and the Karapinar region of Konya in Turkey [16]. Likewise, these techniques have been shown to be highly successful in the integration of economic factors for suitability studies of the large-scale development and utilization of solar energy resources, where optimal locations can also be found by using GIS, AHP, and MDCA techniques adapted to the specific conditions (criteria) of countries such as China [17][18][19], where it has been recently found that the province of Xinjiang is the most optimal site for large-scale photovoltaic station construction according to their calculated Levelized Cost of Energy (LCOE) [20], or the positive LCOE trends found at the sovereign state of Bahrain in the Persian Gulf, which indicates that large-scale photovoltaics in this region is a viable alternative for meeting their future electricity demand [21]. A similar trend can be found in the 2014 study for the technical and economic potential of solar energy at Indonesia, which, at the time, predicted a payback period of 11 to 17 years [22], similar to what was predicted for the province of Elazig in Turkey [23].…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Assessment of the Technical and Economic Feasibility of Utility-Scale Solar PV Plants: Case Study in West Kalimantan Province

et al. 2020

View full text Add to dashboard Cite

This paper presents a technical and economic feasibility assessment of utility-scale solar photovoltaic (PV) plants in the West Kalimantan Province of Borneo, which is essential for boosting the development of solar PV plants in Indonesia. The assessment was performed based on a previously developed geographical information systems (GIS) package that integrates satellite-derived data of solar irradiation with locally obtained data such as land usage, topography, road lines, and an electrical network. For the evaluation of the technical and economic feasibility, annual energy production and electrical cost were calculated using an analysis tool that was integrated into a GIS package. The results show that more than 96% of the exploitable land that covers the area of 49,859 km2 is available for the development of solar PV plants, with an annual energy production higher than 180 GWh/km2 and an electricity cost lower than 0.05 USD/kWh, indicating the attractiveness of utility-scale solar PV plant development in West Kalimantan Province. A further detailed assessment of optimal sites shows that the selected sites are technically and economically feasible for the development of utility-scale solar PV plants. The approaches and results of this research should be valuable for energy planners, developers, and policy makers to set the strategies for promoting the development of utility-scale solar PV plants in pro of the sustainable development of Indonesia.

show abstract

A GIS-based high spatial resolution assessment of large-scale PV generation potential in China

Cited by 101 publications

References 27 publications

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering

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

GIS-Based Assessment of the Technical and Economic Feasibility of Utility-Scale Solar PV Plants: Case Study in West Kalimantan Province

Contact Info

Product

Resources

About