Implications of short-term renewable energy resource intermittency in long-term power system planning

Das, Partha; Mathur, Jyotirmay; Bhakar, Rohit; Kanudia, Amit

doi:10.1016/j.esr.2018.06.005

Cited by 70 publications

(31 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such an analysis enables us to understand the system's response to the transient variations of different parameters affecting the performance of the IEPVT/HP system. Short-term analysis allows us to understand, (i) the influence of the intermittency on the system's electrical and thermal performance [26], (ii) analyse the capability of the system's flexible elements (e.g. water flow rate and storage tank size) to suppress the solar energy intermittency, and (iii) optimise the design of the system's parameters in order to minimise the impact of the intermittency on the long-term operation of the system.…”

Section: Introductionmentioning

confidence: 99%

Performance assessment of a hybrid photovoltaic-thermal and heat pump system for solar heating and electricity

et al. 2020

View full text Add to dashboard Cite

This work investigates a solar combined heat and power systems based on hybrid photovoltaic-thermal heat pump systems for the simultaneous provision of space heating and electricity to residential homes. The analysed system connects a photovoltaic-thermal (PVT) panel, through a PVT water tank, to a heat pump. The study is based on quasi-steady state heat transfer and thermodynamic analysis that takes incremental time steps to solve for the fluids temperature changes from the heat pump and the solar PVT panels. The effects of solar irradiance, size of the water tank and the water flow rate in the PVT pipes (laminar and turbulent) on the performance of the system are analysed. Particular focus is made towards the efficiency (electrical and thermal) of the PVT and the COP of the heat pump. Results show that the minimum COP of the heat pump is 4.2, showing the high performance of the proposed hybrid system. Increasing the water flowrate through the PVT panel from 3L/min (laminar) to 17L/min (turbulent) increases the PVT's total efficiency (electrical + thermal) from 61% to 64.5%. Increasing the size of the PVT water tank from 1L to 100L, increases the total efficiency of the PVT panel by 6.5%.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance assessment of a hybrid photovoltaic-thermal and heat pump system for solar heating and electricity

et al. 2020

View full text Add to dashboard Cite

show abstract

“…However, renewable energy also has its shortcomings and brings difficulties to its prediction. The associated research found that the dependency of solar and wind energy resources on the weather, with its randomness and volatility, makes electric power production and distribution uncertain and intermittent (Das et al, 2018), and can lead to sudden emergency power supply problems. Therefore, other forms of energy are needed to serve as a necessary supplement (Jenkins et al, 2018).…”

Section: Selection Of Relevant Indicators For Renewable Energy Predicmentioning

confidence: 99%

Renewable Energy and Material Supply Risks: a Predictive Analysis Based on An LSTM Model

et al. 2020

View full text Add to dashboard Cite

In response to climate change and continued reliance on traditional high-carbon fossil fuels, promoting the transition toward sustainable energy systems by development of low-carbon energy resources has been seen as the main strategy for mitigating and solving global climate change. However, the promotion of low-carbon energy also faces material supply risks. To provide a reference for the steady and rapid development of renewable energy and other energy in the future energy market, this paper considers renewable energy prediction based on a long-and short-term memory network model as well as the growth rate changes of crude oil, natural gas, nuclear energy, financial revenues, and expenditure. In the prediction process, it is found that natural gas will be a strong competitor for the development of renewable energy in the future. When natural gas grows too quickly, the growth of renewable energy will be negative. On the other hand, when the monthly growth rate of natural gas and crude oil is smaller than that of nuclear energy, renewable energy will display a growth trend, and the rate will increase with the growth of natural gas and nuclear energy. What is more, wind and solar energy will be limited by metallic materials, such as Dy, Nd, Te, and In. Improving the energy density of metals plays a key role in China's transition to a low-carbon energy structure.

show abstract

“…Typically, various targets have been implemented by government policies in order to increase the share of renewable energy (RE) sources in power networks [2]. But integration of those facilities, such as solar PV [4] or wind turbines [5], is not straightforward: geographical dispersion and intermittency have often imposed grid adaptations in order to avoid causing instability [1], and forecasting the energy potential can be a modelling challenge on its own in the absence of expert knowledge [6]. It therefore requires to develop specific energy planning strategies and tools allowing objectives to be met without jeopardizing the existing infrastructures.…”

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

Implications of short-term renewable energy resource intermittency in long-term power system planning

Cited by 70 publications

References 89 publications

Performance assessment of a hybrid photovoltaic-thermal and heat pump system for solar heating and electricity

Performance assessment of a hybrid photovoltaic-thermal and heat pump system for solar heating and electricity

Renewable Energy and Material Supply Risks: a Predictive Analysis Based on An LSTM Model

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

Contact Info

Product

Resources

About