Techno-economic analysis of photovoltaic battery system configuration and location☆

Lahnaoui, Amin; Stenzel, Peter; Linßen, Jochen

doi:10.1016/j.apenergy.2017.09.093

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…combinations of fuel cells with heat pumps, is favored. Although the model allows for the modeling of different interest rates for different building types to take into account of the different investment behavior of the building owners [85], it is here simplified to a single interest rate of 3%, which lays between the 2% to 5% considered in the literature [32,37,47,86,87].…”

Section: Discussionmentioning

confidence: 99%

Bottom-up energy supply optimization of a national building stock

Kotzur¹,

Markewitz²,

Robinius³

et al. 2020

Energy and Buildings

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The installation and operation distributed energy resources (DER) and the electrification of the heat supply significantly changes the interaction of the residential building stock with the grid infrastructure. Evaluating the mass deployment of DER at the national level would require analyzing millions of individual buildings, entailing significant computational burden.To overcome this, this work proposes a novel bottom-up model that consists of an aggregation algorithm to create a spatially distributed set of typical residential buildings from census data. Each typical building is then optimized with a Mixed-Integer Linear Program to derive its cost optimal technology adoption and operation, determining its changing grid load in future scenarios.The model is validated for Germany, with 200 typical buildings considered to sufficiently represent the diversity of the residential building stock. In a future scenario for 2050, photovoltaic and heat pumps are predicted to be the most economically and ecologically robust supply solutions for the different building types. Nevertheless, their electricity generation and demand temporally do not match, resulting in a doubling of the peak electricity grid load in the rural areas during the winter. The urban areas can compensate this with efficient co-generation units, which are not cost-efficient in the rural areas.

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Section: Discussionmentioning

confidence: 99%

Bottom-up energy supply optimization of a national building stock

Kotzur¹,

Markewitz²,

Robinius³

et al. 2020

Energy and Buildings

Self Cite

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“…Within the studies that are in this position (Figure 12), research related to the calculation of the levelized cost of energy for different energy generation systems, having photovoltaics and storage in common, is addressed [43,44,72]. Models have been proposed to make comparisons of different energy storage systems considering technical and economic variables [27,73,74], and others, such as [38,[75][76][77][78][79][80], carry out techno-economic evaluations of energy generation systems with storage. Within these studies, Aguilar-Jiménez et al [78] and Zurita et al [75] considered hybrid power generation systems.…”

Section: Trunkmentioning

confidence: 99%

“…Lahnaoui et al [80] evaluated, in their model, the impact of the angle of inclination and orientation of a solar generator in homes on the system's performance, and Khalilpour et al [81] analyzed the impact of various techno-economic parameters such as the geographical location, meteorological conditions, energy price, feed-in price, cost of the photovoltaic system with battery (PV-B), and the technical characteristics of the system on the economic viability of grid-connected PV-B systems.…”

Section: Trunkmentioning

confidence: 99%

Financial Investment Valuation Models for Photovoltaic and Energy Storage Projects: Trends and Challenges

Gómez-Restrepo,

González-Ruiz,

Botero Botero

2024

Energies

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Energy production through non-conventional renewable sources allows progress towards meeting the Sustainable Development Objectives and constitutes abundant and reliable sources when combined with storage systems. From a financial viewpoint, renewable energy production projects withstand significant challenges such as competition, irreversibility of investments, high uncertainty levels, and considerable investment amounts. These facts make their financial valuation fundamental for all the agents involved. Using the Web of Science (WoS) and Scopus databases, a scientometric analysis was carried out to understand the methods that have been used in the financial appraisal of photovoltaic energy generation projects with storage systems. The present research project was developed from 268 studies published between 2013 and 2023; tools such as Bibliometrix 4.1.3, VOSViewer 1.6.19, and Tree of Science 0.0.1a9 were used. Two main findings stand out: (i) the most used methods in the literature are the traditional ones, and within them, the levelized cost of energy has been used with greater frequency; and (ii) there is an interest in analyzing the investments of these systems for residences within the framework of distributed energy generation. Two gaps were found in the literature: (i) the studies that were carried out have not comprehensively incorporated the financial challenges faced by these investments; and (ii) the evaluation of these projects has not been addressed from the perspective of a utility-based power generator.

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“…As a result, for effective and efficient energy generation, the functioning of the PV and battery units must be coordinated. Installation of BESS and incorporation with PV is not economical sometimes due to the low lifecycle of BESS (compared to PV, which could have to replace three times in an entire PV plant life cycle) and high installation cost [32]. Considering the above-stated issues, two CMGs are considered for coupling, and between them in only one community the PV systems are connected with a BESS through a bi-directional DC/DC converter, as indicated in Figure 1.…”

Section: System Configuration and Proposed Droop Control For Power Sharingmentioning

confidence: 99%

Development of a Smart Energy Community by Coupling Neighbouring Community Microgrids for Enhanced Power Sharing Using Customised Droop Control

2021

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This article aims to develop a smart isolated energy community (EC) by coupling the neighbouring rural community microgrids (CMGs) with enhanced droop control for efficient power sharing. This recommended solution employs a power management (PM) based droop-control to enable independent neighbouring CMGs to share power on an available basis by not constraining CMG inverters to equal power sharing. During the grid-connected mode, the droop control may have different power setpoints of each CMG. However, during the standalone mode of operation, the power setpoint should be defined according to their power rating and availability to maintain the system stability. In this article, a PM strategy is developed to maintain the power setpoints of the autonomous CMGs. An improper selection of power setpoints in autonomous CMG can raise the DC link voltage to an unmanageable value and can cause an inadvertent shutdown of CMG. The suggested PM-based droop control enables the CMG inverter not to restrict the inverter to equal power share but to distribute its active power as available in an asymmetric way, if required. The dynamic performance of the proposed coupled system incorporated with two remote isolated CMGs is investigated in a MATLAB environment. Further, a laboratory prototype of the proposed system has been developed using a LabVIEW-based sbRIO controller to verify the efficacy of the proposed approach.

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Techno-economic analysis of photovoltaic battery system configuration and location☆

Cited by 14 publications

References 19 publications

Bottom-up energy supply optimization of a national building stock

Bottom-up energy supply optimization of a national building stock

Financial Investment Valuation Models for Photovoltaic and Energy Storage Projects: Trends and Challenges

Development of a Smart Energy Community by Coupling Neighbouring Community Microgrids for Enhanced Power Sharing Using Customised Droop Control

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